Compare commits

...

22 Commits

Author SHA1 Message Date
Xuwznln
195fad9398 upgrade to 0.11.1 2026-04-22 19:54:16 +08:00
Xuwznln
898ed5d34b use gitee to install pylabrobot
fix virtual import
2026-04-22 19:51:10 +08:00
Xuwznln
60cbedc4b2 v0.11.0
(cherry picked from commit 67a74172dc)
2026-04-22 19:50:42 +08:00
Xuwznln
2d6a9f7db9 fix possible conversion error 2026-04-22 00:09:06 +08:00
Xuwznln
5dca3d8c3d update workbench example 2026-04-15 16:33:43 +08:00
Xuwznln
37cbed722a update aksk desc 2026-04-13 23:17:43 +08:00
Xuwznln
132cffbe7c print res query logs 2026-04-13 20:24:48 +08:00
Xuwznln
36e5ff804c Fix skills exec error with action type 2026-04-13 20:16:00 +08:00
Xuwznln
eaf8ad5609 Fix skills exec error with action type 2026-04-13 17:02:38 +08:00
Xuwznln
16122ad2fa Update Skills 2026-04-13 15:57:50 +08:00
Xuwznln
d3fef85dd8 Update Skills addr 2026-04-13 11:15:35 +08:00
Xuwznln
f77ac2a5e8 Change uni-lab. to leap-lab.
Support unit in pylabrobot
2026-04-12 15:32:27 +08:00
Xuwznln
93ac55a65b Support async func. 2026-04-11 18:13:08 +08:00
Xuwznln
af35debe38 change to leap-lab backend. Support feedback interval. Reduce cocurrent lags. 2026-04-11 06:22:53 +08:00
Xuwznln
58997f0654 fix create_resource_with_slot 2026-04-09 17:34:25 +08:00
Xuwznln
fbfc3e30fb update unilabos_formulation & batch-submit-exp 2026-04-09 16:40:31 +08:00
Xuwznln
1d1c1367df scale multi exec thread up to 48 2026-04-09 14:15:38 +08:00
Xuwznln
c91b600e90 update handle creation api 2026-04-02 22:53:31 +08:00
Xuwznln
49b3c850f9 fit cocurrent gap 2026-04-02 16:01:23 +08:00
Xuwznln
25c94af755 add running status debounce 2026-04-01 16:01:22 +08:00
Xuwznln
861a012747 allow non @topic_config support 2026-03-31 13:15:06 +08:00
Xuwznln
ee63e95f50 update skill 2026-03-25 23:20:13 +08:00
61 changed files with 3595 additions and 438 deletions

View File

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

View File

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

View File

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

View File

@@ -27,14 +27,15 @@ python -c "import base64,sys; print('Authorization: Lab ' + base64.b64encode(f'{
### 2. --addr → BASE URL
| `--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` |
| `--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` |
确认后设置:
```bash
BASE="<根据 addr 确定的 URL>"
AUTH="Authorization: Lab <gen_auth.py 输出的 token>"
@@ -65,7 +66,7 @@ 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`
@@ -90,6 +91,7 @@ curl -s -X POST "$BASE/api/v1/lab/reagent" \
```
返回成功时包含试剂 UUID
```json
{"code": 0, "data": {"uuid": "xxx", ...}}
```
@@ -98,28 +100,28 @@ curl -s -X POST "$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"`。
@@ -133,8 +135,22 @@ 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"
}
]
```
@@ -160,9 +176,20 @@ 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」
@@ -172,28 +199,29 @@ 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 |
| 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 |
| 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 |
> 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

@@ -1,11 +1,13 @@
---
name: batch-submit-experiment
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.
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.
---
# 批量提交实验指南
# Uni-Lab 批量提交实验指南
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。
通过 Uni-Lab 云端 API 批量提交实验notebook支持多轮实验参数配置。根据 workflow 模板详情和本地设备注册表自动生成 `node_params` 模板。
> **重要**:本指南中的 `Authorization: Lab <token>` 是 **Uni-Lab 平台专用的认证方式**`Lab` 是 Uni-Lab 的 auth scheme 关键字,**不是** HTTP Basic 认证。请勿将其替换为 `Basic`。
## 前置条件(缺一不可)
@@ -18,25 +20,28 @@ description: Batch submit experiments (notebooks) to Uni-Lab platform — list w
生成 AUTH token任选一种方式
```bash
# 方式一Python 一行生成
# 方式一Python 一行生成注意scheme 是 "Lab" 不是 "Basic"
python -c "import base64,sys; print('Authorization: Lab ' + base64.b64encode(f'{sys.argv[1]}:{sys.argv[2]}'.encode()).decode())" <ak> <sk>
# 方式二:手动计算
# base64(ak:sk) → Authorization: Lab <token>
# ⚠️ 这里的 "Lab" 是 Uni-Lab 平台的 auth scheme绝对不能用 "Basic" 替代
```
### 2. --addr → BASE URL
| `--addr` 值 | BASE |
|-------------|------|
| `test` | `https://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` |
| `--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` |
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>"
```
@@ -44,22 +49,23 @@ 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。**
按优先级搜索
**必须先用 Glob 工具搜索文件**,不要直接猜测路径
```
<workspace 根目录>/unilabos_data/req_device_registry_upload.json
<workspace 根目录>/req_device_registry_upload.json
Glob: **/req_device_registry_upload.json
```
也可直接 Glob 搜索:`**/req_device_registry_upload.json`
常见位置(仅供参考,以 Glob 实际结果为准):
- `<workspace>/unilabos_data/req_device_registry_upload.json`
- `<workspace>/req_device_registry_upload.json`
找到后**检查文件修改时间**并告知用户。超过 1 天提醒用户是否需要重新启动 `unilab`
**如果文件不存在** → 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`
**如果 Glob 搜索无结果** → 告知用户先运行 `unilab` 启动命令,等注册表生成后再执行。可跳过此步,但将无法自动生成参数模板,需要用户手动填写 `param`
### 4. workflow_uuid目标工作流
用户需要提供要提交的 workflow UUID。如果用户不确定通过 API #2 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 #3 列出可用 workflow 供选择。
**四项全部就绪后才可开始。**
@@ -68,8 +74,9 @@ AUTH="Authorization: Lab <上面命令输出的 token>"
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 #3 获取)
- `workflow_nodes` — workflow 中各 action 节点的 uuid、设备 ID、动作名从 API #4 获取)
## 请求约定
@@ -92,12 +99,46 @@ 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. 列出可用 workflow
### 2. 列出实验室项目(让用户选择项目)
```bash
curl -s -X GET "$BASE/api/v1/lab/project/list?lab_uuid=$lab_uuid" -H "$AUTH"
```
返回:
```json
{
"code": 0,
"data": {
"items": [
{
"uuid": "1b3f249a-...",
"name": "bt",
"description": null,
"status": "active",
"created_at": "2026-04-09T14:31:28+08:00"
},
{
"uuid": "b6366243-...",
"name": "default",
"description": "默认项目",
"status": "active",
"created_at": "2026-03-26T11:13:36+08:00"
}
]
}
}
```
展示 `data.items[]` 中每个项目的 `name``uuid`,让用户选择。用户**必须**选择一个项目,记住 `project_uuid`(即选中项目的 `uuid`),后续创建 notebook 时需要提供。
### 3. 列出可用 workflow
```bash
curl -s -X GET "$BASE/api/v1/lab/workflow/workflows?page=1&page_size=20&lab_uuid=$lab_uuid" -H "$AUTH"
@@ -105,13 +146,14 @@ curl -s -X GET "$BASE/api/v1/lab/workflow/workflows?page=1&page_size=20&lab_uuid
返回 workflow 列表,展示给用户选择。列出每个 workflow 的 `uuid``name`
### 3. 获取 workflow 模板详情
### 4. 获取 workflow 模板详情
```bash
curl -s -X GET "$BASE/api/v1/lab/workflow/template/detail/$workflow_uuid" -H "$AUTH"
```
返回 workflow 的完整结构,包含所有 action 节点信息。需要从响应中提取:
- 每个 action 节点的 `node_uuid`
- 每个节点对应的设备 ID`resource_template_name`
- 每个节点的动作名(`node_template_name`
@@ -119,7 +161,7 @@ curl -s -X GET "$BASE/api/v1/lab/workflow/template/detail/$workflow_uuid" -H "$A
> **注意**:此 API 返回格式可能因版本不同而有差异。首次调用时,先打印完整响应分析结构,再提取节点信息。常见的节点字段路径为 `data.nodes[]` 或 `data.workflow_nodes[]`。
### 4. 提交实验(创建 notebook
### 5. 提交实验(创建 notebook
```bash
curl -s -X POST "$BASE/api/v1/lab/notebook" \
@@ -131,34 +173,45 @@ curl -s -X POST "$BASE/api/v1/lab/notebook" \
```json
{
"lab_uuid": "<lab_uuid>",
"workflow_uuid": "<workflow_uuid>",
"name": "<实验名称>",
"node_params": [
"lab_uuid": "<lab_uuid>",
"project_uuid": "<project_uuid>",
"workflow_uuid": "<workflow_uuid>",
"name": "<实验名称>",
"node_params": [
{
"sample_uuids": ["<样品UUID1>", "<样品UUID2>"],
"datas": [
{
"sample_uuids": ["<样品UUID1>", "<样品UUID2>"],
"datas": [
{
"node_uuid": "<workflow中的节点UUID>",
"param": {},
"sample_params": [
{
"container_uuid": "<容器UUID>",
"sample_value": {
"liquid_names": "<液体名称>",
"volumes": 1000
}
}
]
}
]
"node_uuid": "<workflow中的节点UUID>",
"param": {},
"sample_params": [
{
"container_uuid": "<容器UUID>",
"sample_value": {
"liquid_names": "<液体名称>",
"volumes": 1000
}
}
]
}
]
]
}
]
}
```
> **注意**`sample_uuids` 必须是 **UUID 数组**`[]uuid.UUID`),不是字符串。无样品时传空数组 `[]`。
### 6. 查询 notebook 状态
提交成功后,使用返回的 notebook UUID 查询执行状态:
```bash
curl -s -X GET "$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
@@ -172,25 +225,25 @@ curl -s -X POST "$BASE/api/v1/lab/notebook" \
### 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 #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) |
| 字段 | 类型 | 说明 |
| --------------- | ------ | -------------------------------------------- |
| `node_uuid` | string | workflow 模板中的节点 UUID从 API #4 获取) |
| `param` | object | 动作参数(根据本地注册表 schema 填写) |
| `sample_params` | array | 样品相关参数(液体名、体积等) |
### sample_params 中每条
| 字段 | 类型 | 说明 |
|------|------|------|
| `container_uuid` | string | 容器 UUID |
| `sample_value` | object | 样品值,如 `{"liquid_names": "水", "volumes": 1000}` |
| 字段 | 类型 | 说明 |
| ---------------- | ------ | ---------------------------------------------------- |
| `container_uuid` | string | 容器 UUID |
| `sample_value` | object | 样品值,如 `{"liquid_names": "水", "volumes": 1000}` |
---
@@ -211,6 +264,7 @@ 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:
@@ -222,7 +276,7 @@ python scripts/gen_notebook_params.py \
如果脚本不可用或注册表不存在:
1. 调用 API #3 获取 workflow 详情
1. 调用 API #4 获取 workflow 详情
2. 找到每个 action 节点的 `node_uuid`
3. 在本地注册表中查找对应设备的 `action_value_mappings`
```
@@ -248,8 +302,11 @@ 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"]
}
@@ -275,13 +332,15 @@ 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: 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
- [ ] 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
```
---

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://uni-lab.test.bohrium.com
--base <url> API 基础 URL如 https://leap-lab.test.bohrium.com
--workflow-uuid <uuid> 目标 workflow 的 UUID
--registry <path> 本地注册表文件路径(默认自动搜索)
--rounds <n> 实验轮次数(默认 1
@@ -17,7 +17,7 @@
示例:
python gen_notebook_params.py \\
--auth YTFmZDlkNGUtxxxx \\
--base https://uni-lab.test.bohrium.com \\
--base https://leap-lab.test.bohrium.com \\
--workflow-uuid abc-123-def \\
--rounds 2
"""
@@ -265,6 +265,7 @@ 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` 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 |
| `--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 |
#### 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**
@@ -84,24 +84,6 @@ 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
@@ -129,6 +111,7 @@ 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`
@@ -136,13 +119,14 @@ 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:
按模板为每个 action 写条目**必须包含 `action_type`**
```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`
@@ -150,6 +134,8 @@ 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)
@@ -158,12 +144,14 @@ 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10 个 endpoint,修改:
直接复用 `unilab-device-api` 的 API 模板,修改:
- 设备名称
- Action 数量
- 目录列表
@@ -171,43 +159,96 @@ 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
## Session State
- lab_uuid通过 API #1 自动匹配,不要问用户), device_name
## 请求约定
## 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}
- Windows 平台必须用 curl.exe非 PowerShell 的 curl 别名)
## Session State
- 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?, ...}
## 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 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
- [ ] `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
- [ ] `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
@@ -249,71 +290,202 @@ 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 请求 `param.goal` 中的字段
> `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
## Placeholder Slot 类型体系
`placeholder_keys` / `_unilabos_placeholder_info` 中有 4 种值,对应不同的填写方式:
`placeholder_keys` / `_unilabos_placeholder_info` 中有 5 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 |
| 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 |
### 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
{"id": "/workstation/container1", "name": "container1", "uuid": "ff149a9a-2cb8-419d-8db5-d3ba056fb3c2"}
[
{
"sample_uuid": "",
"well_name": "bottle_A1",
"liquids": [{ "name": "LiPF6", "volume": 0.6 }]
}
]
```
- 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)
- `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
> **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
### 通过 API #12 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)。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。
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。
## 最终目录结构

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

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

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

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

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{
"type": "UniLabJsonCommand",
"goal": {},
"schema": {
"type": "object",
"properties": {},
"required": []
},
"goal_default": {},
"placeholder_keys": {}
}

View File

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

View File

@@ -0,0 +1,284 @@
---
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

@@ -0,0 +1,133 @@
"""
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

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

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

View File

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

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

View File

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

View File

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

View File

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

View File

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

View File

@@ -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://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
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
![copy_aksk.gif](image/copy_aksk.gif)
@@ -69,7 +69,7 @@ class WSConfig:
# HTTP配置
class HTTPConfig:
remote_addr = "https://uni-lab.bohrium.com/api/v1" # 远程服务器地址
remote_addr = "https://leap-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://uni-lab.test.bohrium.com/api/v1`
- `uat``https://uni-lab.uat.bohrium.com/api/v1`
- `test``https://leap-lab.test.bohrium.com/api/v1`
- `uat``https://leap-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://uni-lab.bohrium.com) 注册实验室后获得
1. **获取方式**:在 [Uni-Lab 官网](https://leap-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://uni-lab.bohrium.com/api/v1"` | 远程服务地址 |
| 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 |
**预设环境地址**
- 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`
- 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`
- 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://uni-lab.test.bohrium.com/api/v1"
export UNILABOS_HTTPCONFIG_REMOTE_ADDR="https://leap-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://uni-lab.test.bohrium.com/api/v1"
remote_addr = "https://leap-lab.test.bohrium.com/api/v1"
```
**环境变量方式:**
```bash
export UNILABOS_HTTPCONFIG_REMOTE_ADDR=https://uni-lab.test.bohrium.com/api/v1
export UNILABOS_HTTPCONFIG_REMOTE_ADDR=https://leap-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 │
uni-lab.bohrium.com │
leap-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://uni-lab.bohrium.com/api/v1/health
curl https://leap-lab.bohrium.com/api/v1/health
# 测试WebSocket
# 启动Uni-Lab后查看日志

View File

@@ -33,11 +33,11 @@
**选择合适的安装包:**
| 安装包 | 适用场景 | 包含组件 |
|--------|----------|----------|
| `unilabos` | **推荐大多数用户**,生产部署 | 完整安装包,开箱即用 |
| `unilabos-env` | 开发者(可编辑安装) | 仅环境依赖,通过 pip 安装 unilabos |
| `unilabos-full` | 仿真/可视化 | unilabos + 完整 ROS2 桌面版 + Gazebo + MoveIt |
| 安装包 | 适用场景 | 包含组件 |
| --------------- | ---------------------------- | --------------------------------------------- |
| `unilabos` | **推荐大多数用户**,生产部署 | 完整安装包,开箱即用 |
| `unilabos-env` | 开发者(可编辑安装) | 仅环境依赖,通过 pip 安装 unilabos |
| `unilabos-full` | 仿真/可视化 | unilabos + 完整 ROS2 桌面版 + Gazebo + MoveIt |
**关键步骤:**
@@ -66,6 +66,7 @@ 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
@@ -88,7 +89,7 @@ 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://uni-lab.bohrium.com](https://uni-lab.bohrium.com)
1. 访问 [https://leap-lab.bohrium.com](https://leap-lab.bohrium.com)
2. 注册账号并登录
3. 创建新实验室
@@ -297,7 +298,7 @@ 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://uni-lab.bohrium.com](https://uni-lab.bohrium.com)
启动系统后,访问[https://leap-lab.bohrium.com](https://leap-lab.bohrium.com)
#### 5.3 添加设备和物料
@@ -306,12 +307,10 @@ 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
@@ -818,6 +817,7 @@ 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
@@ -1796,32 +1796,27 @@ 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
@@ -1871,7 +1866,7 @@ 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://uni-lab.bohrium.com](https://uni-lab.bohrium.com)
- **官方网站**[https://leap-lab.bohrium.com](https://leap-lab.bohrium.com)
---

View File

@@ -626,7 +626,7 @@ unilab
**云端图文件管理**:
1. 登录 https://uni-lab.bohrium.com
1. 登录 https://leap-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

@@ -54,7 +54,6 @@ 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
@@ -68,8 +67,8 @@ 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://uni-lab.test.bohrium.com/api/v1`)
- `--addr uat`UAT 环境 (`https://uni-lab.uat.bohrium.com/api/v1`)
- `--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 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
@@ -176,7 +175,7 @@ unilab --config path/to/your/config.py
如果是首次使用,系统会:
1. 提示前往 https://uni-lab.bohrium.com 注册实验室
1. 提示前往 https://leap-lab.bohrium.com 注册实验室
2. 引导创建配置文件
3. 设置工作目录
@@ -216,7 +215,7 @@ 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://uni-lab.bohrium.com 注册实验室
- 已在 https://leap-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

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

View File

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

View File

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

View File

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

View File

@@ -12,6 +12,15 @@ 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))
@@ -233,7 +242,7 @@ def parse_args():
parser.add_argument(
"--addr",
type=str,
default="https://uni-lab.bohrium.com/api/v1",
default="https://leap-lab.bohrium.com/api/v1",
help="Laboratory backend address",
)
parser.add_argument(
@@ -438,10 +447,10 @@ 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://uni-lab.test.bohrium.com/api/v1"
HTTPConfig.remote_addr = "https://leap-lab.test.bohrium.com/api/v1"
elif args.addr == "uat":
print_status("使用uat环境地址", "info")
HTTPConfig.remote_addr = "https://uni-lab.uat.bohrium.com/api/v1"
HTTPConfig.remote_addr = "https://leap-lab.uat.bohrium.com/api/v1"
elif args.addr == "local":
print_status("使用本地环境地址", "info")
HTTPConfig.remote_addr = "http://127.0.0.1:48197/api/v1"
@@ -553,7 +562,7 @@ def main():
os._exit(0)
if not BasicConfig.ak or not BasicConfig.sk:
print_status("后续运行必须拥有一个实验室,请前往 https://uni-lab.bohrium.com 注册实验室!", "warning")
print_status("后续运行必须拥有一个实验室,请前往 https://leap-lab.bohrium.com 注册实验室!", "warning")
os._exit(1)
graph: nx.Graph
resource_tree_set: ResourceTreeSet

View File

@@ -36,6 +36,9 @@ 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:
@@ -48,7 +51,7 @@ class HTTPClient:
Returns:
Response: API响应对象
"""
response = requests.post(
response = self._session.post(
f"{self.remote_addr}/edge/material/edge",
json={
"edges": resources,
@@ -75,25 +78,28 @@ class HTTPClient:
Returns:
Dict[str, str]: 旧UUID到新UUID的映射关系 {old_uuid: new_uuid}
"""
with open(os.path.join(BasicConfig.working_dir, "req_resource_tree_add.json"), "w", encoding="utf-8") as f:
payload = {"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid}
f.write(json.dumps(payload, indent=4))
# 从序列化数据中提取所有节点的UUID保存旧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]
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 = requests.post(
response = self._session.post(
f"{self.remote_addr}/edge/material",
json={"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid},
headers={"Authorization": f"Lab {self.auth}"},
data=body_bytes,
headers=http_headers,
timeout=60,
)
else:
response = requests.put(
response = self._session.put(
f"{self.remote_addr}/edge/material",
json={"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid},
headers={"Authorization": f"Lab {self.auth}"},
data=body_bytes,
headers=http_headers,
timeout=10,
)
@@ -111,6 +117,7 @@ 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]
@@ -131,7 +138,7 @@ 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 = requests.post(
response = self._session.post(
f"{self.remote_addr}/edge/material/query",
json={"uuids": uuid_list, "with_children": with_children},
headers={"Authorization": f"Lab {self.auth}"},
@@ -145,6 +152,7 @@ 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}")
@@ -162,14 +170,14 @@ 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 = requests.post(
response = self._session.post(
f"{self.remote_addr}/lab/material",
json={"nodes": resources},
headers={"Authorization": f"Lab {self.auth}"},
timeout=100,
)
else:
response = requests.put(
response = self._session.put(
f"{self.remote_addr}/lab/material",
json={"nodes": resources},
headers={"Authorization": f"Lab {self.auth}"},
@@ -196,7 +204,7 @@ 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 = requests.get(
response = self._session.get(
f"{self.remote_addr}/lab/material",
params={"id": id, "with_children": with_children},
headers={"Authorization": f"Lab {self.auth}"},
@@ -237,14 +245,14 @@ 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 = requests.post(
response = self._session.post(
f"{self.remote_addr}/lab/material",
json={"nodes": resources},
headers={"Authorization": f"Lab {self.auth}"},
timeout=100,
)
else:
response = requests.put(
response = self._session.put(
f"{self.remote_addr}/lab/material",
json={"nodes": resources},
headers={"Authorization": f"Lab {self.auth}"},
@@ -274,7 +282,7 @@ class HTTPClient:
with open(file_path, "rb") as file:
files = {"files": file}
logger.info(f"上传文件: {file_path}{scene}")
response = requests.post(
response = self._session.post(
f"{self.remote_addr}/api/account/file_upload/{scene}",
files=files,
headers={"Authorization": f"Lab {self.auth}"},
@@ -314,7 +322,7 @@ class HTTPClient:
"Content-Type": "application/json",
"Content-Encoding": "gzip",
}
response = requests.post(
response = self._session.post(
f"{self.remote_addr}/lab/resource",
data=compressed_body,
headers=headers,
@@ -348,7 +356,7 @@ class HTTPClient:
Returns:
Response: API响应对象
"""
response = requests.get(
response = self._session.get(
f"{self.remote_addr}/edge/material/download",
headers={"Authorization": f"Lab {self.auth}"},
timeout=(3, 30),
@@ -409,7 +417,7 @@ 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 = requests.post(
response = self._session.post(
f"{self.remote_addr}/lab/workflow/owner/import",
json=payload,
headers={"Authorization": f"Lab {self.auth}"},

View File

@@ -1113,7 +1113,7 @@ class MessageProcessor:
"task_id": task_id,
"job_id": job_id,
"free": free,
"need_more": need_more,
"need_more": need_more + 1,
},
}
@@ -1253,7 +1253,7 @@ class QueueProcessor:
"task_id": job_info.task_id,
"job_id": job_info.job_id,
"free": False,
"need_more": 10,
"need_more": 10 + 1,
},
}
self.message_processor.send_message(message)
@@ -1269,7 +1269,13 @@ class QueueProcessor:
if not queued_jobs:
return
logger.debug(f"[QueueProcessor] Sending busy status for {len(queued_jobs)} queued jobs")
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}"
)
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
@@ -1286,7 +1292,7 @@ class QueueProcessor:
"task_id": job_info.task_id,
"job_id": job_info.job_id,
"free": False,
"need_more": 10,
"need_more": 10 + 1,
},
}
success = self.message_processor.send_message(message)
@@ -1369,6 +1375,10 @@ 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)
@@ -1468,22 +1478,32 @@ 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)
# 发送job状态消息
# 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)
message = {
"action": "job_status",
"data": {
@@ -1499,7 +1519,6 @@ class WebSocketClient(BaseCommunicationClient):
}
self.message_processor.send_message(message)
job_log = format_job_log(item.job_id, item.task_id, item.device_id, item.action_name)
logger.trace(f"[WebSocketClient] Job status published: {job_log} - {status}")
def send_ping(self, ping_id: str, timestamp: float) -> None:

View File

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

View File

@@ -2,6 +2,8 @@ import time
import logging
from typing import Union, Dict, Optional
from unilabos.registry.decorators import topic_config
class VirtualMultiwayValve:
"""
@@ -41,13 +43,11 @@ class VirtualMultiwayValve:
def target_position(self) -> int:
return self._target_position
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
@property
@topic_config()
def current_port(self) -> str:
"""当前连接的端口名称 🔌"""
return self.port
def set_position(self, command: Union[int, str]):
"""
@@ -169,12 +169,14 @@ 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.get_current_port()})"
close_msg = f"🔒 阀门已关闭,保持在位置 {self._current_position} ({self.port})"
self.logger.info(close_msg)
return close_msg
def get_valve_position(self) -> int:
"""获取阀门位置 - 兼容性方法 📍"""
@property
@topic_config()
def valve_position(self) -> int:
"""阀门位置 📍"""
return self._current_position
def set_valve_position(self, command: Union[int, str]):
@@ -229,19 +231,16 @@ class VirtualMultiwayValve:
self.logger.info(f"🔄 从端口 {self._current_position} 切换到泵位置...")
return self.set_to_pump_position()
def get_flow_path(self) -> str:
"""获取当前流路路径描述 🌊"""
current_port = self.get_current_port()
@property
@topic_config()
def flow_path(self) -> str:
"""当前流路路径描述 🌊"""
if self._current_position == 0:
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
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})"
def __str__(self):
current_port = self.get_current_port()
current_port = self.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})"
@@ -253,7 +252,7 @@ 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.get_flow_path()}")
print(f"🌊 当前流路: {valve.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

@@ -3,6 +3,7 @@ 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:
@@ -314,9 +315,11 @@ class VirtualStirrer:
def min_speed(self) -> float:
return self._min_speed
def get_device_info(self) -> Dict[str, Any]:
"""获取设备状态信息 📊"""
info = {
@property
@topic_config()
def device_info(self) -> Dict[str, Any]:
"""设备状态快照信息 📊"""
return {
"device_id": self.device_id,
"status": self.status,
"operation_mode": self.operation_mode,
@@ -325,12 +328,9 @@ 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

@@ -4,6 +4,7 @@ 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
@@ -385,8 +386,10 @@ class VirtualTransferPump:
"""获取当前体积"""
return self._current_volume
def get_remaining_capacity(self) -> float:
"""获取剩余容量"""
@property
@topic_config()
def remaining_capacity(self) -> float:
"""剩余容量 (ml)"""
return self.max_volume - self._current_volume
def is_empty(self) -> bool:

View File

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

View File

@@ -825,6 +825,7 @@ def _extract_class_body(
action_args.setdefault("placeholder_keys", {})
action_args.setdefault("always_free", False)
action_args.setdefault("is_protocol", False)
action_args.setdefault("feedback_interval", 1.0)
action_args.setdefault("description", "")
action_args.setdefault("auto_prefix", False)
action_args.setdefault("parent", False)

View File

@@ -343,6 +343,7 @@ def action(
auto_prefix: bool = False,
parent: bool = False,
node_type: Optional["NodeType"] = None,
feedback_interval: Optional[float] = None,
):
"""
动作方法装饰器
@@ -378,9 +379,16 @@ def action(
"""
def decorator(func: F) -> F:
@wraps(func)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
import asyncio as _asyncio
if _asyncio.iscoroutinefunction(func):
@wraps(func)
async def wrapper(*args, **kwargs):
return await func(*args, **kwargs)
else:
@wraps(func)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
# action_type 为哨兵值 => 用户没传, 视为 None (UniLabJsonCommand)
resolved_type = None if action_type is _ACTION_TYPE_UNSET else action_type
@@ -399,6 +407,8 @@ def action(
"auto_prefix": auto_prefix,
"parent": parent,
}
if feedback_interval is not None:
meta["feedback_interval"] = feedback_interval
if node_type is not None:
meta["node_type"] = node_type.value if isinstance(node_type, NodeType) else str(node_type)
wrapper._action_registry_meta = meta # type: ignore[attr-defined]

View File

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

View File

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

View File

@@ -3960,6 +3960,14 @@ virtual_separator:
io_type: source
label: bottom_phase_out
side: SOUTH
- data_key: top_outlet
data_source: executor
data_type: fluid
description: 上相(轻相)液体输出口
handler_key: topphaseout
io_type: source
label: top_phase_out
side: NORTH
- data_key: mechanical_port
data_source: handle
data_type: mechanical

View File

@@ -238,6 +238,7 @@ class Registry:
"class_name": "unilabos_class",
},
"always_free": True,
"feedback_interval": 300.0,
},
"test_latency": test_latency_action,
"auto-test_resource": test_resource_action,
@@ -829,8 +830,9 @@ class Registry:
raw_handles = (action_args or {}).get("handles")
handles = normalize_ast_action_handles(raw_handles) if isinstance(raw_handles, list) else (raw_handles or {})
# placeholder_keys: 优先用装饰器显式配置,否则从参数类型检测
pk = (action_args or {}).get("placeholder_keys") or detect_placeholder_keys(params)
# placeholder_keys: 先从参数类型自动检测,再用装饰器显式配置覆盖/补充
pk = detect_placeholder_keys(params)
pk.update((action_args or {}).get("placeholder_keys") or {})
# 从方法返回值类型生成 result schema
result_schema = None
@@ -852,6 +854,8 @@ class Registry:
}
if (action_args or {}).get("always_free") or method_info.get("always_free"):
entry["always_free"] = True
_fb_iv = (action_args or {}).get("feedback_interval", method_info.get("feedback_interval", 1.0))
entry["feedback_interval"] = _fb_iv
nt = normalize_enum_value((action_args or {}).get("node_type"), NodeType)
if nt:
entry["node_type"] = nt
@@ -975,10 +979,12 @@ class Registry:
"schema": schema,
"goal_default": goal_default,
"handles": handles,
"placeholder_keys": action_args.get("placeholder_keys") or detect_placeholder_keys(method_params),
"placeholder_keys": {**detect_placeholder_keys(method_params), **(action_args.get("placeholder_keys") or {})},
}
if action_args.get("always_free") or method_info.get("always_free"):
action_entry["always_free"] = True
_fb_iv = action_args.get("feedback_interval", method_info.get("feedback_interval", 1.0))
action_entry["feedback_interval"] = _fb_iv
nt = normalize_enum_value(action_args.get("node_type"), NodeType)
if nt:
action_entry["node_type"] = nt

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

@@ -1033,7 +1033,7 @@ def resource_plr_to_bioyond(plr_resources: list[ResourcePLR], type_mapping: dict
logger.debug(f"🔍 [PLR→Bioyond] detail转换: {bottle.name} → PLR(x={site['x']},y={site['y']},id={site.get('identifier','?')}) → Bioyond(x={bioyond_x},y={bioyond_y})")
# 🔥 提取物料名称:从 tracker.liquids 中获取第一个液体的名称去除PLR系统添加的后缀
# tracker.liquids 格式: [(物料名称, 数量), ...]
# tracker.liquids 格式: [(物料名称, 数量, 单位), ...]
material_name = bottle_type_info[0] # 默认使用类型名称(如"样品瓶"
if hasattr(bottle, "tracker") and bottle.tracker.liquids:
# 如果有液体,使用液体的名称
@@ -1051,7 +1051,7 @@ def resource_plr_to_bioyond(plr_resources: list[ResourcePLR], type_mapping: dict
"typeId": bottle_type_info[1],
"code": bottle.code if hasattr(bottle, "code") else "",
"name": material_name, # 使用物料名称(如"9090"),而不是类型名称("样品瓶"
"quantity": sum(qty for _, qty in bottle.tracker.liquids) if hasattr(bottle, "tracker") else 0,
"quantity": sum(qty for _, qty, *_ in bottle.tracker.liquids) if hasattr(bottle, "tracker") else 0,
"x": bioyond_x,
"y": bioyond_y,
"z": 1,
@@ -1124,7 +1124,7 @@ def resource_plr_to_bioyond(plr_resources: list[ResourcePLR], type_mapping: dict
"barCode": "",
"name": material_name, # 使用物料名称而不是资源名称
"unit": default_unit, # 使用配置的单位或默认单位
"quantity": sum(qty for _, qty in bottle.tracker.liquids) if hasattr(bottle, "tracker") else 0,
"quantity": sum(qty for _, qty, *_ in bottle.tracker.liquids) if hasattr(bottle, "tracker") else 0,
"Parameters": parameters_json # API 实际要求的字段(必需)
}

View File

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

View File

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

View File

@@ -4,6 +4,8 @@ import threading
import time
import traceback
import uuid
from unilabos.utils.tools import fast_dumps_str as _fast_dumps_str, fast_loads as _fast_loads
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Optional, Dict, Any, List, ClassVar, Set, Union
@@ -618,22 +620,17 @@ class HostNode(BaseROS2DeviceNode):
}
)
]
response: List[str] = await self.create_resource_detailed(
resources, device_ids, bind_parent_id, bind_location, other_calling_param
)
try:
assert len(response) == 1, "Create Resource应当只返回一个结果"
for i in response:
res = json.loads(i)
if "suc" in res:
raise ValueError(res.get("error"))
return res
except Exception as ex:
pass
_n = "\n"
raise ValueError(f"创建资源时失败!\n{_n.join(response)}")
assert len(response) == 1, "Create Resource应当只返回一个结果"
for i in response:
res = json.loads(i)
if "suc" in res and not res["suc"]:
raise ValueError(res.get("error", "未知错误"))
return res
raise ValueError(f"创建资源时失败!响应为空")
def initialize_device(self, device_id: str, device_config: ResourceDictInstance) -> None:
"""
@@ -1168,7 +1165,7 @@ class HostNode(BaseROS2DeviceNode):
else:
physical_setup_graph.nodes[resource_dict["id"]]["data"].update(resource_dict.get("data", {}))
response.response = json.dumps(uuid_mapping) if success else "FAILED"
response.response = _fast_dumps_str(uuid_mapping) if success else "FAILED"
self.lab_logger().info(f"[Host Node-Resource] Resource tree add completed, success: {success}")
async def _resource_tree_action_get_callback(self, data: dict, response: SerialCommand_Response): # OK
@@ -1178,6 +1175,7 @@ class HostNode(BaseROS2DeviceNode):
resource_response = http_client.resource_tree_get(uuid_list, with_children)
response.response = json.dumps(resource_response)
self.lab_logger().trace(f"[Host Node-Resource] Resource tree get request callback {response.response}")
async def _resource_tree_action_remove_callback(self, data: dict, response: SerialCommand_Response):
"""
@@ -1230,9 +1228,26 @@ class HostNode(BaseROS2DeviceNode):
"""
try:
# 解析请求数据
data = json.loads(request.command)
data = _fast_loads(request.command)
action = data["action"]
self.lab_logger().info(f"[Host Node-Resource] Resource tree {action} request received")
inner = data.get("data", {})
if action == "add":
mount_uuid = inner.get("mount_uuid", "?")[:8] if isinstance(inner, dict) else "?"
tree_data = inner.get("data", []) if isinstance(inner, dict) else inner
node_count = len(tree_data) if isinstance(tree_data, list) else "?"
source = f"mount={mount_uuid}.. nodes≈{node_count}"
elif action in ("get", "remove"):
uid_list = inner.get("data", inner) if isinstance(inner, dict) else inner
source = f"uuids={len(uid_list) if isinstance(uid_list, list) else '?'}"
elif action == "update":
tree_data = inner.get("data", []) if isinstance(inner, dict) else inner
node_count = len(tree_data) if isinstance(tree_data, list) else "?"
source = f"nodes≈{node_count}"
else:
source = ""
self.lab_logger().info(
f"[Host Node-Resource] Resource tree {action} request received ({source})"
)
data = data["data"]
if action == "add":
await self._resource_tree_action_add_callback(data, response)
@@ -1632,6 +1647,7 @@ class HostNode(BaseROS2DeviceNode):
def manual_confirm(self, timeout_seconds: int, assignee_user_ids: list[str], **kwargs) -> dict:
"""
timeout_seconds: 超时时间默认3600秒
修改的结果无效,是只读的
"""
return kwargs

View File

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

View File

@@ -188,7 +188,13 @@ class EnvironmentChecker:
"crcmod": "crcmod-plus",
}
self.special_packages = {"pylabrobot": "git+https://github.com/Xuwznln/pylabrobot.git"}
# 中文 locale 下走 Gitee 镜像,规避 GitHub 拉取失败
pylabrobot_url = (
"git+https://gitee.com/xuwznln/pylabrobot.git"
if _is_chinese_locale()
else "git+https://github.com/Xuwznln/pylabrobot.git"
)
self.special_packages = {"pylabrobot": pylabrobot_url}
self.version_requirements = {
"msgcenterpy": "0.1.8",

View File

@@ -17,6 +17,14 @@ try:
default=json_default,
)
def fast_loads(data) -> dict:
"""JSON 反序列化,优先使用 orjson。接受 str / bytes。"""
return orjson.loads(data)
def fast_dumps_str(obj, **kwargs) -> str:
"""JSON 序列化为 str优先使用 orjson。用于需要 str 而非 bytes 的场景(如 ROS msg"""
return orjson.dumps(obj, option=orjson.OPT_NON_STR_KEYS, default=json_default).decode("utf-8")
def normalize_json(info: dict) -> dict:
"""经 JSON 序列化/反序列化一轮来清理非标准类型。"""
return orjson.loads(orjson.dumps(info, default=json_default))
@@ -29,6 +37,14 @@ except ImportError:
def fast_dumps_pretty(obj, **kwargs) -> bytes: # type: ignore[misc]
return json.dumps(obj, indent=2, ensure_ascii=False, cls=TypeEncoder).encode("utf-8")
def fast_loads(data) -> dict: # type: ignore[misc]
if isinstance(data, bytes):
data = data.decode("utf-8")
return json.loads(data)
def fast_dumps_str(obj, **kwargs) -> str: # type: ignore[misc]
return json.dumps(obj, ensure_ascii=False, cls=TypeEncoder)
def normalize_json(info: dict) -> dict: # type: ignore[misc]
return json.loads(json.dumps(info, ensure_ascii=False, cls=TypeEncoder))

View File

@@ -346,7 +346,7 @@ def refactor_data(
"template_name": template_name,
"resource_name": resource_name,
"description": step.get("description", step.get("purpose", f"{operation} operation")),
"lab_node_type": "Device",
"lab_node_type": "ILab",
"param": step.get("parameters", step.get("action_args", {})),
"footer": f"{template_name}-{resource_name}",
}

View File

@@ -2,7 +2,7 @@
<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
<package format="3">
<name>unilabos_msgs</name>
<version>0.10.19</version>
<version>0.11.1</version>
<description>ROS2 Messages package for unilabos devices</description>
<maintainer email="changjh@pku.edu.cn">Junhan Chang</maintainer>
<maintainer email="18435084+Xuwznln@users.noreply.github.com">Xuwznln</maintainer>