Merge pull request #263 from ftu62738-creator/workstation_dev_YB_260410

feat: cherry-pick dev branch updates + 新增东华电化学/SSE自动合成设备驱动

.conda/base/recipe.yaml

@@ -3,7 +3,7 @@
 
 package:
   name: unilabos
-  version: 0.10.19
+  version: 0.11.2
 
 source:
   path: ../../unilabos
@@ -54,7 +54,7 @@ requirements:
   - pymodbus
   - matplotlib
   - pylibftdi
-  - uni-lab::unilabos-env ==0.10.19
+  - uni-lab::unilabos-env ==0.11.2
 
 about:
   repository: https://github.com/deepmodeling/Uni-Lab-OS

.conda/environment/recipe.yaml

@@ -2,7 +2,7 @@
 
 package:
   name: unilabos-env
-  version: 0.10.19
+  version: 0.11.2
 
 build:
   noarch: generic

.conda/full/recipe.yaml

@@ -3,7 +3,7 @@
 
 package:
   name: unilabos-full
-  version: 0.10.19
+  version: 0.11.2
 
 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 ==0.11.2
   # Documentation tools
   - sphinx
   - sphinx_rtd_theme

.cursor/skills/add-device/SKILL.md

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

.cursor/skills/batch-insert-reagent/SKILL.md

@@ -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` 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 <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` 为 `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 |
-| 硫酸 | 7664-93-9 | H2SO4 | OS(O)(=O)=O |
-| 氢氧化钠 | 1310-73-2 | NaOH | [Na]O |
-| 碳酸钠 | 497-19-8 | Na2CO3 | [Na]OC([O-])=O.[Na+] |
-| 氯化钠 | 7647-14-5 | NaCl | [Na]Cl |
-| 乙二胺四乙酸(EDTA) | 60-00-4 | C10H16N2O8 | OC(=O)CN(CCN(CC(O)=O)CC(O)=O)CC(O)=O |
+| 名称                  | CAS       | 分子式     | SMILES                               |
+| --------------------- | --------- | ---------- | ------------------------------------ |
+| 水                    | 7732-18-3 | H2O        | O                                    |
+| 乙醇                  | 64-17-5   | C2H6O      | CCO                                  |
+| 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                               |
+| 盐酸                  | 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。
 

.cursor/skills/batch-submit-experiment/SKILL.md

@@ -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` 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>"
 ```
 
@@ -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` 为 `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` 和 `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` 和 `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
 ```
 
 ---

.cursor/skills/batch-submit-experiment/scripts/gen_notebook_params.py

@@ -7,7 +7,7 @@
 
 选项:
   --auth <token>          Lab token（base64(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,

.cursor/skills/create-device-skill/SKILL.md

@@ -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` 值    | 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 ③：req_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（含 `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
 - 从 `schema.properties` 读参数列表（schema 已提升为 goal 内容）
 - 从 `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` 的 `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` 的 `from_vessel`/`to_vessel`，`create_resource` 的 `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` 和 `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
 

.cursor/skills/filter-workflow-by-tags/SKILL.md

@@ -0,0 +1,450 @@
+---
+name: filter-workflow-by-tags
+description: Query backend workflow list, aggregate all tags, and filter workflows by domain/scenario requirements using tags. Use when the user wants to search workflows, find workflows by tags, list available workflow tags, filter workflows by category/domain/scenario, or mentions 工作流筛选/标签查询/workflow tags/按领域查找工作流.
+---
+# Uni-Lab 工作流标签筛选指南
+
+通过 Uni-Lab 云端 API 查询工作流列表，汇总所有可用标签（tags），并根据领域和场景要求筛选工作流。
+
+> **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`。
+
+## 使用模式识别
+
+**用户可能一开始就给出场景目标**（如"我要做有机合成实验"、"找柱层析相关的 protocol"）。此时：
+
+1. **识别场景关键词** → 映射到可能的 tags（如 synthesis、organic、chromatography、purification）
+2. **直接执行完整流程**（获取 ak/sk/addr → 拉取所有工作流 → 汇总 tags → 按场景筛选）
+3. **展示筛选结果** → 引导用户从候选 workflow 中**选择明确的实验 protocol**
+4. **如果用户确认某个 workflow** → 记录 `workflow_uuid`，准备对接“与其他 Skill 的协作”
+
+**如果用户未给场景目标**，则按标准 checklist 询问筛选条件。
+
+---
+
+## 前置条件
+
+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
+python -c "import base64,sys; print('Authorization: Lab ' + base64.b64encode(f'{sys.argv[1]}:{sys.argv[2]}'.encode()).decode())" <ak> <sk>
+```
+
+### 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 <上面命令输出的 token>"
+```
+
+### 3. lab_uuid（实验室 UUID）
+
+如果用户未提供 `lab_uuid`，通过以下 API 自动获取：
+
+```bash
+curl -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
+```
+
+返回 `data.uuid` 即为 `lab_uuid`。
+
+**三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
+- `all_workflows` — 完整工作流列表（分页获取后缓存到内存或临时文件）
+- `all_tags` — 所有工作流的标签汇总
+
+---
+
+## API 端点
+
+### 查询工作流列表（支持分页）
+
+```
+GET $BASE/api/v1/lab/workflow/owner/list?page=<page>&page_size=<page_size>&lab_uuid=$lab_uuid
+```
+
+**参数：**
+
+- `page` — 页码，从 1 开始
+- `page_size` — 每页数量，建议 1000
+- `lab_uuid` — 实验室 UUID
+
+**返回结构：**
+
+```json
+{
+  "code": 0,
+  "data": {
+    "has_more": true,
+    "data": [
+      {
+        "uuid": "9661bba2-1b9f-4687-a63d-910245df174b",
+        "name": "Untitled",
+        "description": "",
+        "user_id": "114211",
+        "published": false,
+        "tags": null
+      },
+      {
+        "uuid": "e0436638-190b-46bc-b1a1-2711d9602f6a",
+        "name": "Synthesis v2",
+        "user_id": "114211",
+        "published": true,
+        "tags": ["synthesis", "organic"]
+      }
+    ]
+  }
+}
+```
+
+**字段说明：**
+
+- `has_more` — 若为 `true`，需要继续请求 `page+1`
+- `tags` — 可能为 `null`、空数组或字符串数组；聚合时必须容忍 `null`
+
+### 启动工作流（直接运行）
+
+```
+POST $BASE/api/v1/lab/workflow/<workflow_uuid>/run
+```
+
+**用途：** 直接启动一个 workflow 的默认执行（使用模板中预设的参数），无需创建 notebook。适用于快速测试或无参数变化的重复执行。
+
+**请求体：** 空 JSON `{}` 或省略
+
+**返回：**
+
+```json
+{
+  "code": 0,
+  "data": "<run_uuid>"
+}
+```
+
+- `run_uuid` — 本次执行的唯一标识（不是 notebook UUID）
+
+**注意：**
+
+- 该接口会使用 workflow 模板中保存的默认参数直接执行
+- 如果 workflow 需要动态参数（如 CSV 路径、样品 UUID），应使用 `POST /lab/notebook` 创建 notebook 并传入 `node_params`
+- 返回的 `run_uuid` 可直接传入下方「查询任务状态」接口查询实时进度
+
+### 查询任务状态
+
+```
+GET $BASE/api/v1/lab/mcp/task/<task_uuid>
+```
+
+**用途：** 查询由 `POST /lab/workflow/<uuid>/run` 返回的 `run_uuid`（即 task_uuid）的实时执行状态，包括整体状态和每个节点（JOS：Job On Station）的执行详情。
+
+**路径参数：**
+
+- `task_uuid` — 等同于启动工作流接口返回的 `run_uuid`
+
+**返回：**
+
+```json
+{
+  "code": 0,
+  "data": {
+    "status": "running",
+    "jos_status": [
+      {
+        "uuid": "d0e24bfe-8d99-450e-b19d-f25849dfbaad",
+        "node_name": "PRCXI_BioER_96_wellplate_slot_1",
+        "action_name": "create_resource",
+        "status": "success",
+        "return_info": {
+          "suc": true,
+          "error": "",
+          "return_value": { ... }
+        }
+      },
+      {
+        "uuid": "...",
+        "node_name": "...",
+        "action_name": "transfer_liquid",
+        "status": "pending",
+        "return_info": null
+      }
+    ]
+  }
+}
+```
+
+**字段说明：**
+
+- `data.status` — 整体任务状态
+  - `running` — 正在执行（至少一个节点 pending 或 running）
+  - `success` — 全部节点成功
+  - `failed` — 有节点失败
+- `data.jos_status[]` — 节点级执行列表（按执行顺序）
+  - `uuid` — 节点执行实例 UUID
+  - `node_name` — 节点名称（资源/设备名或工位名）
+  - `action_name` — 动作类型（`create_resource`、`transfer_liquid`、`centrifuge`、等）
+  - `status` — 节点状态：`success`、`pending`、`running`、`failed`
+  - `return_info` — 执行返回，失败时 `suc=false` 且 `error` 有错误信息
+
+**注意：**
+
+- 此接口的 `task_uuid` **是** `POST /lab/workflow/<uuid>/run` 返回的 `run_uuid`，二者为同一个 ID 的不同称呼
+- **不要**把 notebook UUID（`POST /lab/notebook` 返回）传进来——那条路径用 `GET /lab/notebook/status` 查询
+- `jos_status` 数组按节点执行顺序给出；从 pending 数量可以估算剩余进度
+- 返回体可能较大（`return_info.return_value` 中可能包含完整 resource tree），可在脚本中只提取 `status` + `node_name` + `action_name` 做摘要
+
+**状态轮询示例：**
+
+```bash
+# 每 5 秒轮询一次直至完成
+TASK="b183d97e-d2b5-4b24-b14b-820df04d87c0"
+while :; do
+  st=$(curl -s -X GET "$BASE/api/v1/lab/mcp/task/$TASK" -H "$AUTH" \
+    | python3 -c "import json,sys; d=json.load(sys.stdin)['data']; \
+      print(d['status'], '|', sum(1 for j in d['jos_status'] if j['status']=='success'), '/', len(d['jos_status']))")
+  echo "$(date +%H:%M:%S) $st"
+  [[ "$st" == success* || "$st" == failed* ]] && break
+  sleep 5
+done
+```
+
+---
+
+## 完整工作流 Checklist
+
+```
+Task Progress:
+- [ ] Step 0: 识别用户是否已给出场景目标（如"有机合成"、"柱层析"）
+       - 若已给出 → 记录场景关键词，自动进入后续步骤
+       - 若未给出 → 在 Step 6 询问用户
+- [ ] Step 1: 确认 ak/sk → 生成 AUTH token
+- [ ] Step 2: 确认 --addr → 设置 BASE URL
+- [ ] Step 3: GET /edge/lab/info → 获取 lab_uuid（如用户未提供）
+- [ ] Step 4: 分页获取所有工作流（从 page=1 开始直到 has_more=false）
+- [ ] Step 5: 汇总所有非空 tags → 生成 all_tags（去重、排序、附出现次数）
+- [ ] Step 6: 根据场景关键词（Step 0 或新询问）在 all_tags 中做语义映射 → 确定候选 tags
+       - 若语义映射不唯一，列出候选 tags 让用户确认
+- [ ] Step 7: 按候选 tags 筛选工作流（默认 any 模式，召回优先）
+- [ ] Step 8: 展示筛选结果（uuid、name、description、tags、published）
+- [ ] Step 9: 引导用户从结果中选择**明确的实验 protocol**
+       - 若结果只有 1 条 → 直接确认该 workflow_uuid
+       - 若结果 2–10 条 → 让用户按编号选择
+       - 若结果过多 → 提示收紧条件（加 tag、切换 all 模式、仅 published）
+       - 若结果为空 → 放宽条件（去掉最稀有 tag）或提示用户换关键词
+- [ ] Step 10: 记录用户选中的 workflow_uuid，并提示提交实验或查看详情
+```
+
+---
+
+## 推荐路径：使用脚本
+
+同目录下提供 `scripts/filter_workflows.py`，一次完成分页抓取、标签聚合与筛选：
+
+```bash
+# 1. 仅汇总标签（不筛选）
+python scripts/filter_workflows.py \
+  --auth "<Lab base64token>" \
+  --base "$BASE" \
+  --lab-uuid "$lab_uuid" \
+  --summary-only
+
+# 2. 按标签筛选（ANY 模式：包含任一）
+python scripts/filter_workflows.py \
+  --auth "<Lab base64token>" \
+  --base "$BASE" \
+  --lab-uuid "$lab_uuid" \
+  --tags synthesis organic \
+  --mode any
+
+# 3. 按标签筛选（ALL 模式：必须同时包含）
+python scripts/filter_workflows.py \
+  --auth "<Lab base64token>" \
+  --base "$BASE" \
+  --lab-uuid "$lab_uuid" \
+  --tags synthesis organic \
+  --mode all \
+  --output filtered.json
+
+# 4. 仅筛选已发布
+python scripts/filter_workflows.py \
+  --auth "<Lab base64token>" \
+  --base "$BASE" \
+  --lab-uuid "$lab_uuid" \
+  --tags synthesis \
+  --published-only
+```
+
+**`--auth` 参数说明**：传入 `Authorization` 头中 `Lab` 之后的 base64 token（不带 `Lab ` 前缀），脚本内部会自动补上 scheme。
+
+**输出结构：**
+
+```json
+{
+  "total_workflows": 150,
+  "tag_counts": {"synthesis": 12, "organic": 8, "analysis": 5},
+  "all_tags": ["analysis", "organic", "synthesis"],
+  "filter": {"tags": ["synthesis", "organic"], "mode": "any"},
+  "filtered_workflows": [
+    {"uuid": "...", "name": "...", "description": "...", "tags": [...], "published": true}
+  ]
+}
+```
+
+---
+
+## 手动路径：curl + jq
+
+如果脚本不可用或环境缺少 Python，可用 shell 实现。
+
+### 1. 分页抓取（写入 `all_workflows.json`）
+
+```bash
+page=1
+echo "[]" > all_workflows.json
+
+while :; do
+  resp=$(curl -s -X GET \
+    "$BASE/api/v1/lab/workflow/owner/list?page=$page&page_size=1000&lab_uuid=$lab_uuid" \
+    -H "$AUTH")
+
+  page_data=$(echo "$resp" | jq -c '.data.data // []')
+  jq -c --argjson p "$page_data" '. + $p' all_workflows.json > _tmp.json && mv _tmp.json all_workflows.json
+
+  has_more=$(echo "$resp" | jq -r '.data.has_more')
+  [ "$has_more" != "true" ] && break
+  page=$((page + 1))
+done
+
+echo "Total: $(jq 'length' all_workflows.json)"
+```
+
+### 2. 汇总所有标签（含出现次数）
+
+```bash
+jq '[.[].tags // [] | .[]] | group_by(.) | map({tag: .[0], count: length}) | sort_by(-.count)' \
+  all_workflows.json
+```
+
+### 3. 按标签筛选
+
+```bash
+# ANY：包含任一指定标签
+jq --argjson want '["synthesis","organic"]' \
+  '[.[] | select((.tags // []) | any(. as $t | $want | index($t)))]' \
+  all_workflows.json
+
+# ALL：同时包含所有指定标签
+jq --argjson want '["synthesis","organic"]' \
+  '[.[] | select(($want | all(. as $w | (.tags // []) | index($w))))]' \
+  all_workflows.json
+```
+
+---
+
+## 筛选策略
+
+agent 拿到用户的「领域 + 场景」自然语言描述时，按如下顺序选择 tag：
+
+1. **优先用户显式指定的 tags**：若用户明确给出标签词，直接精确匹配。
+2. **从 all_tags 中做语义映射**：若用户描述是自然语言（如"有机合成、柱层析"），在 all_tags 中找语义相关项（如 `synthesis`、`organic`、`chromatography`）。必要时展示候选 tag 让用户确认。
+3. **模式选择**：
+   - 默认 `any`（更多召回），给出 tag 集合的并集匹配
+   - 用户强调"必须同时满足"时用 `all`
+4. **空结果兜底**：如果筛选为空，放宽条件（去掉最稀有 tag、切换 any 模式），并提醒用户。
+
+---
+
+## 引导到明确的 Protocol
+
+筛选完成后，**最终目标是让用户确认一个具体的 workflow_uuid**，而不是停留在"一堆候选"上。按结果数量采取不同策略：
+
+| 结果数量  | 策略                                                                                                                               |
+| --------- | ---------------------------------------------------------------------------------------------------------------------------------- |
+| 0 条      | 放宽筛选（去掉最稀有 tag → 切换 any 模式 → 去掉 `--published-only`）。仍为空则提示换关键词，或列出 `all_tags` 让用户重新选。 |
+| 1 条      | 直接确认："找到唯一匹配：`<name>` (uuid `<uuid>`)，是否用它？"用户确认后记录 `workflow_uuid`。                               |
+| 2–10 条  | 编号列表展示，让用户选编号。每项给出 name、tags、description 摘要、published 状态。                                                |
+| 10–30 条 | 先展示 tag 分布帮助用户进一步收紧：列出匹配结果中最常见的子标签，提示"加一个 tag 可将结果缩小到 N 条"。                            |
+| >30 条    | 强制要求用户补充条件：仅 published、指定具体 tag 组合、或按名称关键词过滤。                                                        |
+
+**确认 workflow 后**：
+
+1. 将 `workflow_uuid` 写入 session state
+2. 提示用户下一步可用的 skill：
+   - 提交实验 → 引导到“与其他 Skill 的协作”
+   - 查看 workflow 详细节点 → `GET /api/v1/lab/workflow/template/detail/<workflow_uuid>`
+3. 若用户想换一个，回到筛选步骤。
+
+---
+
+## 展示结果
+
+推荐格式（表格 + 汇总统计）：
+
+```
+共 150 个工作流，其中 32 个匹配筛选条件 [tags: synthesis OR organic]
+
+| UUID (短) | 名称                     | Tags                         | 已发布 |
+|-----------|--------------------------|------------------------------|--------|
+| e0436638  | Synthesis v2             | synthesis, organic           | ✓      |
+| 5b60dbb8  | Grignard Protocol        | synthesis, organometallic    | ✓      |
+| ...       | ...                      | ...                          | ...    |
+
+所有可用标签（按频次）：
+  synthesis (12), organic (8), analysis (5), purification (4), ...
+```
+
+如果用户下一步想执行某工作流 → 引导到“与其他 Skill 的协作”。
+
+---
+
+## 常见问题
+
+### Q: tags 为 null 的工作流要不要展示？
+
+默认**不展示**在筛选结果中（因为无法按 tag 匹配）。但在 `--summary-only` 或无筛选条件时，这些工作流仍会计入总数，并在输出中单独列出"未打标签"计数。
+
+### Q: 如何按名称/描述做模糊匹配？
+
+脚本未内置，但可在 jq 中组合：
+
+```bash
+jq '[.[] | select((.name + " " + (.description // "")) | test("organic"; "i"))]' all_workflows.json
+```
+
+### Q: `page_size=1000` 是否会被服务端限制？
+
+接口通常允许最大 1000；如果返回量少于 1000 且 `has_more=false`，说明已到末页。极端情况下若服务端返回错误，可降到 200 或 500 再试。
+
+### Q: 工作流数量极大（>10k）怎么办？
+
+1. 先跑 `--summary-only` 了解 tag 分布
+2. 提示用户先限定 `--published-only` 或指定 tag
+3. 考虑将 `all_workflows.json` 缓存到本地，下次直接复用
+
+---
+
+## 与其他 Skill 的协作
+
+- 正常情况下，找到 workflow 之后可以直接用它提交实验（启动工作流的 api 端点 POST $BASE/api/v1/lab/workflow/<workflow_uuid>/run，不用别的 skill）
+- **仅当需要进行多次实验时，使用 batch-submit-experiment** — 筛选到目标工作流后，`workflow_uuid` 直接用于实验提交
+
+## 脚本依赖
+
+`scripts/filter_workflows.py` 仅使用 Python 标准库（`urllib`、`json`、`argparse`），无需额外安装。

.cursor/skills/filter-workflow-by-tags/scripts/filter_workflows.py

@@ -0,0 +1,191 @@
+#!/usr/bin/env python3
+"""分页拉取 Uni-Lab 工作流列表，汇总 tags 并按 tag 筛选。
+
+使用示例:
+    python filter_workflows.py \
+        --auth <base64token> \
+        --base https://leap-lab.test.bohrium.com \
+        --lab-uuid a9059772-... \
+        --tags synthesis organic --mode any
+
+仅依赖 Python 标准库。
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import sys
+import urllib.error
+import urllib.parse
+import urllib.request
+from collections import Counter
+
+
+def fetch_all_workflows(base: str, auth_token: str, lab_uuid: str, page_size: int = 1000) -> list[dict]:
+    """分页拉取所有 owner 工作流，直到 has_more=false。"""
+    workflows: list[dict] = []
+    page = 1
+    while True:
+        query = urllib.parse.urlencode(
+            {"page": page, "page_size": page_size, "lab_uuid": lab_uuid}
+        )
+        url = f"{base.rstrip('/')}/api/v1/lab/workflow/owner/list?{query}"
+        req = urllib.request.Request(
+            url,
+            headers={
+                "Authorization": f"Lab {auth_token}",
+                "Accept": "application/json",
+            },
+        )
+        try:
+            with urllib.request.urlopen(req, timeout=30) as resp:
+                payload = json.loads(resp.read().decode("utf-8"))
+        except urllib.error.HTTPError as e:
+            sys.exit(f"[ERROR] HTTP {e.code} on page {page}: {e.read().decode('utf-8', 'ignore')}")
+        except urllib.error.URLError as e:
+            sys.exit(f"[ERROR] URL error on page {page}: {e.reason}")
+
+        if payload.get("code") != 0:
+            sys.exit(f"[ERROR] API returned non-zero code: {payload}")
+
+        data = payload.get("data") or {}
+        page_items = data.get("data") or []
+        workflows.extend(page_items)
+
+        if not data.get("has_more"):
+            break
+        page += 1
+        # 防御性兜底，避免接口异常导致无限循环
+        if page > 1000:
+            print(f"[WARN] page count exceeded 1000, stopping early", file=sys.stderr)
+            break
+
+    return workflows
+
+
+def aggregate_tags(workflows: list[dict]) -> tuple[list[str], dict[str, int], int]:
+    """返回 (sorted_tags, tag_counts, untagged_count)。"""
+    counter: Counter[str] = Counter()
+    untagged = 0
+    for wf in workflows:
+        tags = wf.get("tags")
+        if not tags:
+            untagged += 1
+            continue
+        for t in tags:
+            if isinstance(t, str) and t.strip():
+                counter[t.strip()] += 1
+    return sorted(counter.keys()), dict(counter), untagged
+
+
+def filter_workflows(
+    workflows: list[dict],
+    want_tags: list[str],
+    mode: str,
+    published_only: bool,
+) -> list[dict]:
+    """按 tag 筛选。mode 取值 any / all。"""
+    want_set = {t.strip() for t in want_tags if t.strip()}
+    out: list[dict] = []
+    for wf in workflows:
+        if published_only and not wf.get("published"):
+            continue
+        if not want_set:
+            out.append(wf)
+            continue
+        tags = wf.get("tags") or []
+        tag_set = {t for t in tags if isinstance(t, str)}
+        if mode == "all":
+            if want_set.issubset(tag_set):
+                out.append(wf)
+        else:  # any
+            if want_set & tag_set:
+                out.append(wf)
+    return out
+
+
+def project_workflow(wf: dict) -> dict:
+    """精简输出字段。"""
+    return {
+        "uuid": wf.get("uuid"),
+        "name": wf.get("name"),
+        "description": wf.get("description", ""),
+        "tags": wf.get("tags") or [],
+        "published": bool(wf.get("published")),
+        "user_id": wf.get("user_id"),
+    }
+
+
+def parse_args() -> argparse.Namespace:
+    p = argparse.ArgumentParser(description="Fetch & filter Uni-Lab workflows by tags.")
+    p.add_argument("--auth", required=True, help="Base64 token (the part after `Lab `).")
+    p.add_argument("--base", required=True, help="Base URL, e.g. https://leap-lab.test.bohrium.com")
+    p.add_argument("--lab-uuid", required=True, help="Lab UUID.")
+    p.add_argument("--tags", nargs="*", default=[], help="Tags to filter by (space separated).")
+    p.add_argument(
+        "--mode",
+        choices=["any", "all"],
+        default="any",
+        help="any: workflow contains at least one tag; all: workflow contains every tag.",
+    )
+    p.add_argument("--published-only", action="store_true", help="Only include published workflows.")
+    p.add_argument("--page-size", type=int, default=1000, help="Page size, default 1000.")
+    p.add_argument(
+        "--summary-only",
+        action="store_true",
+        help="Print tag summary without applying filter (still fetches everything).",
+    )
+    p.add_argument("--output", help="Write JSON result to this path. If omitted, print to stdout.")
+    return p.parse_args()
+
+
+def main() -> None:
+    args = parse_args()
+    workflows = fetch_all_workflows(
+        base=args.base,
+        auth_token=args.auth,
+        lab_uuid=args.lab_uuid,
+        page_size=args.page_size,
+    )
+    sorted_tags, tag_counts, untagged = aggregate_tags(workflows)
+
+    if args.summary_only:
+        result = {
+            "total_workflows": len(workflows),
+            "untagged_count": untagged,
+            "tag_counts": tag_counts,
+            "all_tags": sorted_tags,
+        }
+    else:
+        filtered = filter_workflows(
+            workflows,
+            want_tags=args.tags,
+            mode=args.mode,
+            published_only=args.published_only,
+        )
+        result = {
+            "total_workflows": len(workflows),
+            "untagged_count": untagged,
+            "tag_counts": tag_counts,
+            "all_tags": sorted_tags,
+            "filter": {
+                "tags": args.tags,
+                "mode": args.mode,
+                "published_only": args.published_only,
+            },
+            "matched_count": len(filtered),
+            "filtered_workflows": [project_workflow(wf) for wf in filtered],
+        }
+
+    payload = json.dumps(result, ensure_ascii=False, indent=2)
+    if args.output:
+        with open(args.output, "w", encoding="utf-8") as f:
+            f.write(payload)
+        print(f"Wrote {len(workflows)} workflows summary → {args.output}", file=sys.stderr)
+    else:
+        print(payload)
+
+
+if __name__ == "__main__":
+    main()

.cursor/skills/host-node/SKILL.md

@@ -0,0 +1,251 @@
+---
+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` 为 `lab_uuid`，`data.name` 为 `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` 为 `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` 为 `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
+```

.cursor/skills/host-node/action-index.md

@@ -0,0 +1,58 @@
+# 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

.cursor/skills/host-node/actions/create_resource.json

@@ -0,0 +1,93 @@
+{
+  "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"
+  }
+}

.cursor/skills/host-node/actions/manual_confirm.json

@@ -0,0 +1,32 @@
+{
+  "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"
+  }
+}

.cursor/skills/host-node/actions/test_latency.json

@@ -0,0 +1,11 @@
+{
+  "type": "UniLabJsonCommand",
+  "goal": {},
+  "schema": {
+    "type": "object",
+    "properties": {},
+    "required": []
+  },
+  "goal_default": {},
+  "placeholder_keys": {}
+}

.cursor/skills/host-node/actions/test_resource.json

@@ -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"
+  }
+}

.cursor/skills/submit-agent-result/SKILL.md

@@ -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` 为 `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 token（base64(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。

.cursor/skills/submit-agent-result/scripts/prepare_agent_result.py

@@ -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 token（base64(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()

.cursor/skills/virtual-workbench/SKILL.md

@@ -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` 为 `lab_uuid`，`data.name` 为 `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` 为 `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` 为 `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` 的 `heating_station_output` 和 `material_number_output` 连接到对应 `start_heating` 的 `station_id_input` 和 `material_number_input`。

.cursor/skills/virtual-workbench/action-index.md

@@ -0,0 +1,76 @@
+# 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

.cursor/skills/virtual-workbench/actions/manual_confirm.json

@@ -0,0 +1,270 @@
+{
+  "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"
+  }
+}

.cursor/skills/virtual-workbench/actions/move_to_heating_station.json

@@ -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": {}
+}

.cursor/skills/virtual-workbench/actions/move_to_output.json

@@ -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": {}
+}

.cursor/skills/virtual-workbench/actions/prepare_materials.json

@@ -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": {}
+}

.cursor/skills/virtual-workbench/actions/start_heating.json

@@ -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": {}
+}

.cursor/skills/virtual-workbench/actions/transfer.json

@@ -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"
+  }
+}

.cursor/skills/yibin-electrolyte-submit/SKILL.md

@@ -0,0 +1,483 @@
+---
+name: yibin-electrolyte-submit
+description: >-
+  通过 Uni-Lab Notebook API 向宜宾电解液工站提交实验，覆盖配液分液（Bioyond LIMS）、
+  扣电组装（CoinCellAssembly）、扣电测试全流程。
+  包含 Excel 解析、formulation 构建、工作流节点参数填写、notebook 提交与状态轮询。
+  Use when the user wants to submit electrolyte experiments, assemble or test coin cells,
+  parse experiment Excel files, build notebook payloads, or mentions
+  宜宾/配液/分液/扣电/电解液实验/notebook提交/CoinCell/BioyondLIMS.
+---
+
+# 宜宾电解液产线 API 操作指南
+
+本 skill 覆盖两个设备的完整操作流程：
+1. **配液分液工站** (`bioyond_cell_workstation`) — Bioyond LIMS 配液/分液/转运
+2. **扣电组装站** (`BatteryStation`) — Modbus PLC 扣电组装/数据采集
+
+## 设备信息
+
+| 属性 | 配液分液工站 | 扣电组装站 |
+|------|------------|-----------|
+| device_id | `bioyond_cell_workstation` | `BatteryStation` |
+| 显示名 | 配液分液工站 | 扣电工作站 |
+| 源码 | `unilabos/devices/workstation/bioyond_studio/bioyond_cell/bioyond_cell_workstation.py` | `unilabos/devices/workstation/coin_cell_assembly/coin_cell_assembly.py` |
+| 类名 | `BioyondCellWorkstation` | `CoinCellAssemblyWorkstation` |
+| 通讯 | HTTP REST (Bioyond LIMS API) | Modbus TCP (PLC 寄存器) |
+
+## 前置条件
+
+### 认证信息
+
+```
+AUTH="Authorization: Lab OTdlY2FkNmUtZmZmMi00YjhiLThhOWEtNWM5ODAyOTJmOTUxOmU0OGM2YWJkLTA4ZmEtNDFjMy04NzhhLTc4M2FiODlhZjYxMw=="
+BASE="https://uni-lab.test.bohrium.com"
+```
+
+来源：`--ak 97ecad6e-fff2-4b8b-8a9a-5c980292f951 --sk e48c6abd-08fa-41c3-878a-783ab89af613 --addr test`
+
+### 启动 unilab（云端模式）
+
+> **重要**：提交实验前必须确保 unilab 正在运行且已连接云端 WebSocket。
+
+```powershell
+$env:PYTHONIOENCODING="utf-8"
+conda activate newunilab2603
+cd D:\UniLabdev\Uni-Lab-OS\unilabos\devices\workstation
+unilab -g D:\UniLabdev\Uni-Lab-OS\yibin_electrolyte_config.json --ak 97ecad6e-fff2-4b8b-8a9a-5c980292f951 --sk e48c6abd-08fa-41c3-878a-783ab89af613 --upload_registry --addr test --disable_browser --skip_env_check
+```
+
+**启动要点**：
+1. 必须先激活虚拟环境 `newunilab2603`
+2. 工作目录切到 `unilabos/devices/workstation`（设备驱动所在目录）
+3. `--upload_registry` 将 64 个设备 + 142 个资源注册到云端
+4. `--skip_env_check` + `PYTHONIOENCODING=utf-8` 避免 Windows GBK 编码崩溃
+5. 启动后后台运行，等待日志出现 `Application startup complete` 和 `Host node ready signal published with 3 devices`
+
+**验证连接成功的标志**：
+- 日志出现 `[MessageProcessor] ... wss://uni-lab.test.bohrium.com/api/v1/ws/schedule`
+- 日志出现 `[WebSocketClient] Host node ready signal published with 3 devices`
+- 日志出现 `Resource tree add completed`（资源树同步完成）
+
+### 云端物料上架与入库（启动后必做）
+
+> **在提交实验之前，必须提醒用户完成以下云端操作，否则实验会因物料缺失而失败。**
+
+1. **拖拽上料**：在云端 UI（`$BASE/laboratory/<lab_uuid>`）的资源树视图中，将物料拖拽到对应的仓库/库位上。unilab 启动后资源树会自动同步到云端，但物料的**上架位置**需要用户在 UI 上手动确认或调整。
+
+2. **确认配液物料入库**：确保所有配液实验需要的试剂（如 LiPF6、EC、DMC、EMC 等）已在 LIMS 系统中完成入库。可通过以下方式验证：
+   - 云端 UI 资源树中对应仓库（如"粉末加样头堆栈"、"配液站内试剂仓库"）下有物料节点
+   - 或通过 API #8 获取资源树后检查物料节点是否存在
+
+3. **告知 AI 可以提交**：用户完成上述操作后，告知 AI "物料已上架，可以提交实验"，AI 再执行 notebook 提交流程。
+
+**提醒话术模板**（AI 应在启动成功后发送给用户）：
+```
+unilab 已成功启动并连接云端。提交实验前请完成以下操作：
+1. 在云端 UI 上确认资源树中的物料位置，必要时拖拽调整上料位
+2. 确保配液所需的试剂（粉末、液体）已在 LIMS 中完成入库
+3. 完成后告诉我，我将为您提交实验
+```
+
+### 生成 Action Schema（首次使用）
+
+启动 unilab 后，在 `unilabos_data/` 目录下会生成 `req_device_registry_upload.json`。运行以下命令提取两个设备的 action JSON：
+
+```bash
+python .cursor/skills/create-device-skill/scripts/extract_device_actions.py --registry unilabos_data/req_device_registry_upload.json bioyond_cell_workstation .cursor/skills/yibin-electrolyte-submit/actions/
+python .cursor/skills/create-device-skill/scripts/extract_device_actions.py --registry unilabos_data/req_device_registry_upload.json BatteryStation .cursor/skills/yibin-electrolyte-submit/actions/
+```
+
+## 请求约定
+
+- Windows 平台**必须用 `curl.exe`**（非 PowerShell 的 curl 别名）
+- 所有请求带 `$AUTH` 头
+- URL 格式：`$BASE/api/v1/<endpoint>`
+- POST/PATCH 请求体写入临时 JSON 文件后用 `-d '@tmp.json'` 传参（避免 PowerShell 转义问题）
+- 本地 API 基址：`http://127.0.0.1:8002/api/v1/`
+
+## Session State
+
+每次会话开始时，依次获取以下信息：
+
+```bash
+# 1. lab_uuid
+curl.exe -s -X GET "$BASE/api/v1/edge/lab/info" -H "$AUTH"
+# → data.uuid → $lab_uuid
+
+# 2. project_uuid
+curl.exe -s -X GET "$BASE/api/v1/lab/project/list?lab_uuid=$lab_uuid" -H "$AUTH"
+# → data.items[].uuid/name → 让用户选择或取唯一项 → $project_uuid
+```
+
+## 工作流模板（重要）
+
+> **必须向用户索要已有的工作流模板 UUID 或 URL，不要自行创建。**
+>
+> 原因：通过 `edge/workflow/node` API 创建节点会报 `resource_node_template not found`——
+> 云端的工作流节点模板系统和设备注册表是独立的，需要用户在云端 UI 上预先配置好工作流模板。
+
+**获取方式**：
+- 用户提供工作流页面 URL，如 `$BASE/laboratory/<lab_uuid>/workflow/<workflow_uuid>`
+- 从 URL 中提取 `workflow_uuid`
+- 用 API 获取模板详情：
+
+```
+GET /api/v1/lab/workflow/template/detail/<workflow_uuid>
+```
+
+返回 `data.nodes[]`：每个节点的 uuid、name、param、device_name、handles、disabled。
+
+**示例**：
+```
+工作流 URL: https://uni-lab.test.bohrium.com/laboratory/e9ed9102-d709-4741-b7a0-d1e8578e2065/workflow/b49f80d9-58d6-4456-a521-56f4dd39cda0
+→ workflow_uuid = b49f80d9-58d6-4456-a521-56f4dd39cda0
+```
+
+从模板详情中提取**未 disabled** 的节点的 `uuid` 和 `name`，后续提交 notebook 时使用。
+
+## API Endpoints
+
+### #1 获取 lab_uuid
+
+```
+GET /api/v1/edge/lab/info
+```
+
+### #2 列出项目
+
+```
+GET /api/v1/lab/project/list?lab_uuid=$lab_uuid
+```
+
+返回 `data.items[]`，取 `uuid` 和 `name`。
+
+### #3 获取工作流模板详情
+
+```
+GET /api/v1/lab/workflow/template/detail/<workflow_uuid>
+```
+
+返回 `data.nodes[]`：每个节点的 uuid、name、param、device_name、handles。
+提取活跃节点（`disabled != true`）的 `uuid` 用于构建 notebook 请求。
+
+### #4 提交实验（创建 notebook）— 核心 API
+
+```
+POST /api/v1/lab/notebook
+Body: {
+  "lab_uuid": "<lab_uuid>",
+  "project_uuid": "<project_uuid>",
+  "workflow_uuid": "<workflow_uuid>",
+  "name": "<实验名称>",
+  "node_params": [
+    {
+      "sample_uuids": [],
+      "datas": [
+        {
+          "node_uuid": "<模板中的节点UUID>",
+          "param": { <参数键值对> },
+          "sample_params": []
+        }
+      ]
+    }
+  ]
+}
+```
+
+**关键注意事项**：
+- `node_params` 是数组，每个元素代表一轮实验
+- `datas` 中每个节点对应模板中的一个活跃节点
+- `param` 中的字段名**必须使用 Python 函数参数名**，不能用模板中存储的 LIMS 字段名（见下方映射表）
+
+### #5 查询 notebook 状态
+
+```
+GET /api/v1/lab/notebook/status?uuid=<notebook_uuid>
+```
+
+| status | 含义 |
+|--------|------|
+| `running` | 执行中 |
+| `success` | 成功 |
+| `fail` | 失败 |
+
+### #6 运行设备单动作（本地 API）
+
+```
+POST http://127.0.0.1:8002/api/v1/job/add
+Body: {
+  "device_id": "<device_id>",
+  "action": "<action_name>",
+  "action_args": { <参数键值对> },
+  "sample_material": {}
+}
+```
+
+本地 API 可自动解析 `action_type`，无需手动指定。适用于快速调试或云端未连接时。
+
+### #7 查询本地任务状态
+
+```
+GET http://127.0.0.1:8002/api/v1/job/<job_id>/status
+```
+
+| status | 含义 |
+|--------|------|
+| 0 | UNKNOWN |
+| 1 | ACCEPTED |
+| 2 | EXECUTING |
+| 4 | SUCCEEDED |
+| 5 | CANCELED |
+| 6 | ABORTED |
+
+### #8 获取资源树
+
+```
+GET /api/v1/lab/material/download/<lab_uuid>
+```
+
+返回所有节点（`id`, `name`, `uuid`, `type`, `parent`）。填写 Slot 字段时用此接口筛选节点。
+
+## Placeholder Slot 填写规则
+
+action JSON 中 `placeholder_keys` 标记了哪些字段需要填 Slot：
+
+| placeholder 值 | Slot 类型 | 填写格式 |
+|---------------|-----------|---------|
+| `unilabos_resources` | ResourceSlot | `{"id": "/path/name", "name": "name", "uuid": "xxx"}` |
+| `unilabos_devices` | DeviceSlot | `"/parent/device_name"` 路径字符串 |
+| `unilabos_nodes` | NodeSlot | `"/parent/node_name"` 路径字符串 |
+| `unilabos_class` | ClassSlot | `"class_name"` 字符串 |
+| `unilabos_formulation` | FormulationSlot | `[{well_name, liquids: [{name, volume}]}]` |
+
+### ResourceSlot 填写
+
+从 API #8 资源树中筛选**物料**节点：
+
+```json
+{"id": "/bioyond_cell_workstation/YB_Bioyond_Deck/自动堆栈-左", "name": "自动堆栈-左", "uuid": "3a19debc-..."}
+```
+
+数组字段：`[{id, name, uuid}, ...]`
+特例：`create_resource` 的 `res_id` 允许填不存在的路径。
+
+### DeviceSlot 填写
+
+从资源树筛选 `type=device` 的节点，填路径字符串：
+
+```
+"/BatteryStation"
+"/bioyond_cell_workstation"
+```
+
+### FormulationSlot 填写
+
+```json
+[
+  {
+    "sample_uuid": "",
+    "well_name": "YB_PrepBottle_15mL_Carrier_bottle_A1",
+    "liquids": [
+      { "name": "LiPF6", "mass": 12.5 },
+      { "name": "EC", "mass": 50.0 }
+    ]
+  }
+]
+```
+
+`well_name` 从资源树中取物料节点的 `name`。
+
+## 参数名映射（重要的坑）
+
+> 工作流模板中存储的参数名和 Python 函数实际接受的参数名**不一定相同**。
+> 提交 notebook 时必须使用 **Python 函数参数名**。
+
+### `create_orders_formulation` 参数映射
+
+| 模板中的 param 键 | 实际 Python 参数名 | 说明 |
+|-------------------|-------------------|------|
+| `pouch_cell_info` | `pouch_cell_volume` | 软包组装分液体积 (mL) |
+| `conductivity_info` | `conductivity_volume` | 电导测试分液体积 (mL) |
+| `load_shedding_info` | `coin_cell_volume` | 扣电组装分液体积 (mL) |
+| `formulation` | `formulation` | 配方数组（名称一致） |
+| `batch_id` | `batch_id` | 批次号（名称一致） |
+| `bottle_type` | `bottle_type` | 配液瓶类型（名称一致） |
+| `mix_time` | `mix_time` | 混匀时间(秒)（名称一致） |
+| `conductivity_bottle_count` | `conductivity_bottle_count` | 电导瓶数（名称一致） |
+
+当从模板中读到 `param` 包含 `pouch_cell_info` 等 LIMS 字段名时，提交 notebook 时要用右列的 Python 函数参数名。否则会报 `TypeError: got an unexpected keyword argument`。
+
+## 典型工作流
+
+### 方式一：通过 Notebook API 批量提交（推荐）
+
+**适用场景**：多组配方的批量实验，云端管理实验记录
+
+```
+1. 向用户索要工作流模板 URL（不要自行创建）
+2. 获取 lab_uuid（API #1）和 project_uuid（API #2）
+3. 获取工作流模板详情（API #3），提取活跃节点 UUID
+4. 解析用户提供的 Excel 文件，构建 formulation 数组
+5. 提交 notebook（API #4）
+6. 轮询 notebook 状态（API #5）直到完成
+```
+
+**Excel 解析规则**：
+- 全局参数在第一个数据行：`batch_id`、`bottle_type`、`mix_time`、`coin_cell_volume`、`pouch_cell_volume`、`conductivity_volume`、`conductivity_bottle_count`
+- 配方列从"试剂名1"开始，交替排列：试剂名列 + 质量列（以 `(g)` 结尾）
+- 每行一个配方，`order_name` = 配方ID列
+- formulation 中每个配方的 materials 数组只包含 `mass > 0` 的试剂
+
+**node_params 构建**：所有配方放入同一个 round 的同一个 datas 条目中，因为只有一个节点（`create_orders_formulation`）。
+
+### 方式二：设备单步操作（本地 API）
+
+**适用场景**：调试、快速测试
+
+```
+1. 确保 unilab 已在本地启动
+2. 通过 POST http://127.0.0.1:8002/api/v1/job/add 提交任务
+3. 通过 GET /api/v1/job/<job_id>/status 查询状态
+```
+
+### 设备操作流程：配液 → 转运 → 扣电
+
+```
+1. [配液站] scheduler_start_and_auto_feeding  → 启动调度 + 上料
+2. [配液站] create_orders_formulation          → 创建配液实验（配方输入）
+3. [配液站] transfer_3_to_2_to_1_auto         → 分液瓶板转运到扣电站
+4. [扣电站] func_pack_device_init_auto_start_combined → 初始化+自动+启动
+5. [扣电站] func_sendbottle_allpack_multi      → 发送瓶数+批量组装
+```
+
+## 云端使用心得
+
+### 环境准备
+- Windows 必须设置 `$env:PYTHONIOENCODING="utf-8"` 防止编码崩溃
+- 使用 `--skip_env_check` 跳过依赖检查，加快启动
+- 工作目录建议在 `unilabos/devices/workstation` 下启动
+
+### 连接与注册
+- `--upload_registry` 会自动将设备和资源注册到云端
+- WebSocket 连接建立后，本地和云端的资源树会自动同步
+- 注册成功后用户需在云端 UI 完成**物料拖放上架**操作
+- 如果 unilab 断开重连，资源树会重新同步
+
+### 工作流模板
+- **不要自行调用 API 创建工作流或节点**——云端工作流节点模板需要预配置
+- 始终向用户索要已有的工作流模板 URL
+- 从 URL 中提取 `workflow_uuid`，通过 API #3 获取详情
+- 模板中 `disabled: true` 的节点跳过，只处理活跃节点
+
+### Notebook 实验提交
+- Notebook 是云端管理实验的标准方式
+- 一个 notebook 可包含多轮（`node_params` 数组），每轮可包含多组参数
+- 提交后通过 API #5 轮询状态，LIMS 配液流程通常需要较长时间（8 个配方约 30-60 分钟）
+- 实验进度可在云端 UI 和本地 unilab 日志中同步查看
+
+### 常见错误
+| 错误 | 原因 | 解决 |
+|------|------|------|
+| `edge not started error` | unilab 未连接云端 WebSocket | 检查 unilab 是否在运行、重启 |
+| `resource_node_template not found` | 云端没有该设备的工作流模板 | 向用户索要已有模板，不要自行创建 |
+| `got an unexpected keyword argument` | 参数名用了模板字段名而非 Python 函数参数名 | 参照上方映射表转换 |
+| `UnicodeEncodeError: 'gbk'` | Windows 默认编码不支持特殊字符 | 设置 `PYTHONIOENCODING=utf-8` |
+| `parse parameter error` | 云端 API 字段名错误 | `device_id` (非 `device_name`)、`action` (非 `action_name`)、必须带 `action_type` |
+
+## 渐进加载策略
+
+1. 先读本文件了解 API 端点、参数映射和云端注意事项
+2. 需要具体 action 参数时，读 [action-index.md](action-index.md) 查找 action 名称和核心参数
+3. 需要完整 schema 时，读 `actions/<action_name>.json`（需先运行提取命令生成）
+4. 需要理解参数含义时，读设备源码
+
+## 完整 Notebook 提交 Checklist
+
+```
+- [ ] 确认 unilab 已在本地启动并连接云端 WebSocket
+- [ ] 提醒用户在云端 UI 拖拽上料、确认物料位置
+- [ ] 提醒用户确认配液所需试剂已在 LIMS 完成入库
+- [ ] 等待用户确认物料就绪后再继续
+- [ ] 向用户索要工作流模板 URL → 提取 workflow_uuid
+- [ ] 获取 lab_uuid（API #1）
+- [ ] 获取 project_uuid（API #2）
+- [ ] 获取工作流模板详情（API #3），提取活跃节点 UUID
+- [ ] 解析用户 Excel 文件 → 构建 formulation + 全局参数
+- [ ] 注意参数名映射（模板字段名 → Python 函数参数名）
+- [ ] 提交 notebook（API #4）
+- [ ] 轮询 notebook 状态（API #5）直到完成
+```
+
+---
+
+## 真实场景：宜宾产线 Excel 提交提示词模板
+
+> 以下为已验证可用的标准提示词，适用于配液-分液-扣电全流程。
+
+### 场景说明
+
+- unilab 运行在本地 Windows 机器（miniforge 环境），连接云端 WebSocket
+- AI（Cursor / OpenClaw）在任意设备上，通过云端 API 操作，**不需要本地 127.0.0.1**
+- 工作流为 5 节点串联：`create_orders_formulation` → `transfer_3_to_2_to_1_auto` → `func_pack_device_init_auto_start_combined` → `func_sendbottle_allpack_multi` → `transfer_1_to_2`
+
+### 已知固定参数（宜宾产线）
+
+```
+BASE     = https://uni-lab.test.bohrium.com
+lab_uuid = e9ed9102-d709-4741-b7a0-d1e8578e2065
+project  = YiBinElectrolyte (bc5224b4-8120-4765-9961-9dfc1802a1f6)
+workflow = 配液分液formulation全流程 (2bc59938-db79-4415-ac2d-9897ef125f2f)
+```
+
+#### 工作流节点 UUID（固定，无需重新查询）
+
+| 顺序 | action | node_uuid |
+|------|--------|-----------|
+| Step1 | auto-create_orders_formulation | `ece6744a-81ac-4ae4-8cd1-1c8eeda1dab6` |
+| Step2 | auto-transfer_3_to_2_to_1_auto | `1c37a8dd-5ba0-413d-81db-94b9c936a171` |
+| Step3 | auto-func_pack_device_init_auto_start_combined | `97a676a2-d257-4479-9096-073b40300970` |
+| Step4 | auto-func_sendbottle_allpack_multi | `cf69017a-d29c-4aad-a63b-309d63dac2e9` |
+| Step5 | auto-transfer_1_to_2 | `80d1c1aa-dbc3-4601-86b7-5c22a992dd9e` |
+
+### 标准提示词
+
+```
+请使用 yibin-electrolyte-submit skill，提交以下实验：
+
+工作流模板 URL：https://uni-lab.test.bohrium.com/laboratory/e9ed9102-d709-4741-b7a0-d1e8578e2065/workflow/2bc59938-db79-4415-ac2d-9897ef125f2f
+Excel 文件路径：<粘贴或上传 xlsx 路径>
+
+注意事项：
+- lab_uuid、project_uuid、workflow节点UUID均已固定，无需重新查询
+- 直接解析 Excel → 构建 payload → 提交
+- mix_time 传标量整数即可（已兼容）
+- 试剂名以 Excel 为准，注意区分 LiDFOB / LiDOFB 等拼写
+- csv_export_path 取 Excel 中 csv_export_path 列的值
+- 提交后告知 notebook UUID，无需自动轮询（实验耗时较长）
+```
+
+### Excel 列结构说明（experment_template_0415sim-*.xlsx）
+
+| 列范围 | 内容 |
+|--------|------|
+| C | batch_id |
+| D | bottle_type |
+| E-H | coin_cell_volume / conductivity_bottle_count / conductivity_volume / csv_export_path |
+| I-T | 试剂名+质量 交替排列（最多6对）|
+| U | mix_time |
+| V | order_name（每行配方的订单号）|
+| W | pouch_cell_volume |
+| X-Y | target_device / target_location（Step2参数）|
+| AA | material_search_enable（Step3参数）|
+| AB-AS | 扣电站参数（Step4）|
+
+### CSV 导出说明
+
+每次 `create_orders_formulation` 完成后，在 `csv_export_path` 目录下生成：
+```
+electrolyte_orders_<YYYYMMDD_HHMMSS>.csv
+```
+列：`orderCode, orderName, 配液瓶类型, 配液瓶二维码, 分液瓶类型, 分液瓶二维码, 目标配液质量比, 真实配液质量比, 时间`
+
+> **注意**：barCode 为 `null` 或 `"nullBarCode123456"` 是正常现象，表示 LIMS 中该物料尚未扫码。配液瓶缺失通常是因为物料未放在手动传递窗（`locationId` 前缀 `3a19deae-2c7a-`）。

.cursor/skills/yibin-electrolyte-submit/action-index.md

@@ -0,0 +1,295 @@
+# Action 索引
+
+> Action JSON 文件需运行提取命令生成，详见 [SKILL.md](SKILL.md) 中「生成 Action Schema」。
+> 以下描述和参数信息基于源码分析。
+
+---
+
+## 配液分液工站 (`bioyond_cell_workstation`)
+
+源码：`unilabos/devices/workstation/bioyond_studio/bioyond_cell/bioyond_cell_workstation.py`
+
+### 调度控制
+
+#### `scheduler_start`
+
+启动 Bioyond LIMS 调度系统
+
+- **核心参数**: 无（仅需 apiKey/requestTime，由设备内部处理）
+- **返回**: LIMS 响应 `{code, message, data}`
+
+#### `scheduler_stop`
+
+停止调度
+
+- **核心参数**: 无
+
+#### `scheduler_continue`
+
+继续调度（从暂停状态恢复）
+
+- **核心参数**: 无
+
+#### `scheduler_reset`
+
+复位调度
+
+- **核心参数**: 无
+
+#### `scheduler_start_and_auto_feeding`
+
+**组合操作**：启动调度 + 自动化上料（4号→3号手套箱）
+
+- **核心参数**: `xlsx_path`（Excel 物料模板路径，可选）
+- **可选参数**: WH4 加样头面 12 个点位（materialName + quantity）、WH4 原液瓶面 9 个点位（materialName + quantity + materialType + targetWH）、WH3 人工堆栈 15 个点位（materialType + materialId + quantity）
+- **流程**: 先 `scheduler_start()`，成功后执行 `auto_feeding4to3()`
+- **备注**: 支持 Excel 模式和手动参数模式，Excel 路径存在时优先使用 Excel
+
+### 物料上料/下料
+
+#### `auto_feeding4to3`
+
+自动化上料：从 4 号手套箱转运物料到 3 号手套箱
+
+- **核心参数**: `xlsx_path`（Excel 物料模板路径）
+- **可选参数**: 同 `scheduler_start_and_auto_feeding` 的 WH4/WH3 点位参数
+- **返回**: 等待上料任务完成后返回结果
+
+#### `auto_batch_outbound_from_xlsx`
+
+自动化下料（从 Excel 读取下料信息）
+
+- **核心参数**: `xlsx_path`（Excel 下料模板）
+- **Excel 列**: locationId, warehouseId, 数量, x, y, z
+
+### 物料管理
+
+#### `create_and_inbound_materials`
+
+批量创建固体物料并入库
+
+- **核心参数**: `material_names`（物料名称列表，默认 `["LiPF6", "LiDFOB", "DTD", "LiFSI", "LiPO2F2"]`）
+- **可选参数**: `type_id`（物料类型ID）, `warehouse_name`（目标仓库，默认 "粉末加样头堆栈"）
+- **流程**: 创建物料 → 批量入库 → 同步
+
+#### `create_material`
+
+创建单个物料并可选入库
+
+- **核心参数**: `material_name`, `type_id`, `warehouse_name`
+- **可选参数**: `location_name_or_id`（库位编号如 "A01" 或 UUID）
+
+#### `create_sample`
+
+创建配液板物料（含子瓶）并入库
+
+- **核心参数**: `name`, `board_type`（如 "5ml分液瓶板"）, `bottle_type`（如 "5ml分液瓶"）, `location_code`（如 "A01"）
+- **可选参数**: `warehouse_name`（默认 "手动堆栈"）
+- **备注**: 自动创建 2x4=8 个子瓶
+
+#### `storage_inbound`
+
+单个物料入库
+
+- **核心参数**: `material_id`, `location_id`
+
+#### `storage_batch_inbound`
+
+批量物料入库
+
+- **核心参数**: `items`（`[{materialId, locationId}, ...]`）
+
+### 配液实验
+
+#### `create_orders`
+
+从 Excel 文件创建配液实验订单
+
+- **核心参数**: `xlsx_path`（Excel 文件路径）
+- **Excel 列**: 配方ID, 创建日期, 配液瓶类型, 混匀时间(s), 扣电组装分液体积, 软包组装分液体积, 电导测试分液体积, 电导测试分液瓶数, 以及所有以 `(g)` 结尾的物料列
+- **流程**: 解析 Excel → 提交订单 → 等待全部完成 → 计算质量比 → 提取分液瓶板 → 创建资源树对象
+- **返回**: `{status, total_orders, bottle_count, reports, mass_ratios, vial_plates}`
+
+#### `create_orders_formulation`
+
+从配方列表创建配液实验订单（前端/API 输入版本）
+
+- **核心参数**: `formulation`（配方数组）
+- **可选参数**: `batch_id`, `bottle_type`（默认 "配液小瓶"）, `mix_time`（秒，列表）, `coin_cell_volume`, `pouch_cell_volume`, `conductivity_volume`, `conductivity_bottle_count`
+- **formulation 格式**:
+  ```json
+  [
+    {
+      "order_name": "配方A",
+      "materials": [
+        {"name": "LiPF6", "mass": 12.5},
+        {"name": "EC", "mass": 50.0},
+        {"name": "DMC", "mass": 37.5}
+      ]
+    }
+  ]
+  ```
+- **返回**: 同 `create_orders`
+
+### 物料转运
+
+#### `transfer_3_to_2_to_1_auto`
+
+**自动转运**：从 create_orders 结果中自动定位分液瓶板并转运到目标设备
+
+- **核心参数**: `vial_plates`（分液瓶板列表，来自 create_orders 返回的 `vial_plates`）
+- **可选参数**: `target_device`（默认 "BatteryStation"）, `target_location`（默认 "bottle_rack_6x2"）, `mass_ratios`（配方信息）
+- **流程**: 遍历瓶板 → 解析 locationId → 调用 LIMS 转运 API → 更新资源树
+- **返回**: `{total, success, failed, results}`
+
+#### `transfer_3_to_2_to_1`
+
+3→2→1 物料转运（手动指定坐标）
+
+- **核心参数**: `source_wh_id`, `source_x`, `source_y`, `source_z`
+
+#### `transfer_3_to_2`
+
+3→2 物料转运
+
+- **核心参数**: `source_wh_id`, `source_x`, `source_y`, `source_z`
+
+#### `transfer_1_to_2`
+
+1→2 物料转运
+
+- **核心参数**: 无
+
+### 查询
+
+#### `order_list_v2`
+
+批量查询实验报告
+
+- **可选参数**: `timeType`, `beginTime`, `endTime`, `status`（60=运行中, 80=完成, 90=失败）, `filter`, `skipCount`, `pageCount`, `sorting`
+
+---
+
+## 扣电组装站 (`BatteryStation`)
+
+源码：`unilabos/devices/workstation/coin_cell_assembly/coin_cell_assembly.py`
+
+### 设备控制（组合操作）
+
+#### `func_pack_device_init_auto_start_combined`
+
+**组合操作**：设备初始化 → 物料搜寻确认 → 切换自动模式 → 启动
+
+- **核心参数**: `material_search_enable`（是否启用物料搜寻，默认 `False`）
+- **前置检查**: REG_UNILAB_INTERACT=False, COIL_GB_L_IGNORE_CMD=False, 所有握手寄存器无残留
+- **流程**: 手动模式 → 初始化命令 → 监测物料搜寻弹窗并自动处理 → 自动模式 → 启动
+- **返回**: `True`/`False`
+- **备注**: 第一次运行必须调用此函数；后续批次调用 `func_sendbottle_allpack_multi`
+
+### 批量组装
+
+#### `func_sendbottle_allpack_multi`
+
+**发送瓶数 + 批量组装**（适用于第二批次及后续批次）
+
+- **核心参数**: `elec_num`（电解液瓶数）, `elec_use_num`（每瓶组装电池数）, `elec_vol`（电解液吸液量 μL，默认 50）
+- **可选参数**:
+  - 双滴模式：`dual_drop_mode`(bool), `dual_drop_first_volume`(μL), `dual_drop_suction_timing`(bool), `dual_drop_start_timing`(bool)
+  - 组装参数：`assembly_type`(7=不用铝箔垫/8=用), `assembly_pressure`(N，默认 4200)
+  - 物料参数：`fujipian_panshu`, `fujipian_juzhendianwei`, `gemopanshu`, `gemo_juzhendianwei`, `qiangtou_juzhendianwei`
+  - 开关：`lvbodian`(铝箔垫片), `battery_pressure_mode`(压力模式), `battery_clean_ignore`(忽略清洁)
+  - 其他：`file_path`(CSV保存路径), `formulations`(配方信息，用于CSV追溯)
+- **流程**: 发送瓶数触发物料搬运 → 设置PLC参数 → 循环（等待PLC请求→下发参数→读取电池数据→写入CSV→更新资源树）→ 完成握手
+- **返回**: `{success, total_batteries, batteries, summary}`
+- **备注**: 设备已初始化后直接调用；`formulations` 来自 create_orders 的 `mass_ratios`
+
+#### `func_allpack_cmd`
+
+全套组装（基础版本，含断点续传）
+
+- **核心参数**: `elec_num`, `elec_use_num`, `elec_vol`, `assembly_type`, `assembly_pressure`, `file_path`
+- **返回**: `{success, total_batteries, batteries, summary}`
+
+#### `func_allpack_cmd_simp`
+
+增强版组装（含双滴模式 + 负极片/隔膜/枪头参数）
+
+- **核心参数**: 同 `func_sendbottle_allpack_multi`
+- **备注**: 被 `func_sendbottle_allpack_multi` 内部调用
+
+### 设备控制（单步操作）
+
+#### `func_pack_device_init`
+
+设备初始化（手动模式 → 初始化 → 复位标志）
+
+#### `func_pack_device_auto`
+
+切换自动模式
+
+#### `func_pack_device_start`
+
+启动设备
+
+#### `func_pack_device_stop`
+
+设备停止
+
+#### `func_pack_send_bottle_num`
+
+发送电解液瓶数（触发物料搬运）
+
+- **核心参数**: `bottle_num`（瓶数）
+
+### PLC 参数设置
+
+#### `qiming_coin_cell_code`
+
+设置组装物料参数
+
+- **核心参数**: `fujipian_panshu`（负极片盘数）
+- **可选参数**: `fujipian_juzhendianwei`, `gemopanshu`, `gemo_juzhendianwei`, `lvbodian`, `battery_pressure_mode`, `battery_pressure`, `battery_clean_ignore`
+
+### 数据采集
+
+#### `func_read_data_and_output`
+
+持续数据采集并导出 CSV（后台循环运行）
+
+- **核心参数**: `file_path`（CSV 保存目录）
+- **采集字段**: 开路电压, 极片质量, 组装时间, 压制力, 电解液加注量, 电池类型, 电解液二维码, 电池二维码
+
+#### `func_stop_read_data`
+
+停止 CSV 数据采集
+
+### 设备状态属性（只读）
+
+| 属性 | 类型 | 说明 |
+|------|------|------|
+| `sys_status` | str | 设备状态（启动中/停止中/复位中/初始化中） |
+| `sys_mode` | str | 设备模式（手动/自动） |
+| `data_assembly_coin_cell_num` | int | 已完成电池数量 |
+| `data_assembly_time` | float | 单颗电池组装时间(秒) |
+| `data_open_circuit_voltage` | float | 开路电压(V) |
+| `data_pole_weight` | float | 正极片称重(g) |
+| `data_glove_box_pressure` | float | 手套箱压力(mbar) |
+| `data_glove_box_o2_content` | float | 手套箱氧含量(ppm) |
+| `data_glove_box_water_content` | float | 手套箱水含量(ppm) |
+| `data_coin_cell_code` | str | 电池二维码 |
+| `data_electrolyte_code` | str | 电解液二维码 |
+
+---
+
+## 配置参考
+
+设备图文件 `yibin_electrolyte_config.json` 中的仓库映射（`warehouse_mapping`）：
+
+| 仓库名称 | 说明 | 典型操作 |
+|---------|------|---------|
+| 粉末加样头堆栈 | 20 个点位 (A01-T01) | `create_and_inbound_materials` 入库目标 |
+| 配液站内试剂仓库 | 9 个点位 (A01-C03) | 试剂存储 |
+| 自动堆栈-左 | 4 个点位 | 分液瓶板存放，`transfer_3_to_2_to_1_auto` 的源位置 |
+| 自动堆栈-右 | 4 个点位 | 分液瓶板存放 |
+| 手动传递窗左/右 | 各 15 个点位 | 人工上料/下料 |
+| 4号手套箱内部堆栈 | 12 个点位 | `auto_feeding4to3` 的源位置 |

.github/workflows/ci-check.yml

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

.github/workflows/conda-pack-build.yml

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

.github/workflows/deploy-docs.yml

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

.github/workflows/multi-platform-build.yml

@@ -10,6 +10,9 @@ on:
   # 支持 tag 推送（不依赖 CI Check）
   push:
     tags: ['v*']
+  # GitHub Release 发布时自动构建并上传
+  release:
+    types: [published]
   # 手动触发
   workflow_dispatch:
     inputs:
@@ -80,7 +83,7 @@ jobs:
       - uses: actions/checkout@v6
         with:
           # 如果是 workflow_run 触发，使用触发 CI Check 的 commit
-          ref: ${{ github.event.workflow_run.head_sha || github.ref }}
+          ref: ${{ github.event.workflow_run.head_sha || github.event.release.tag_name || github.ref }}
           fetch-depth: 0
 
       - name: Check if platform should be built
@@ -96,12 +99,14 @@ jobs:
             echo "should_build=false" >> $GITHUB_OUTPUT
           fi
 
-      - name: Setup Miniconda
+      - name: Setup Miniforge
         if: steps.should_build.outputs.should_build == 'true'
         uses: conda-incubator/setup-miniconda@v3
         with:
-          miniconda-version: 'latest'
-          channels: conda-forge,robostack-staging,defaults
+          miniforge-version: latest
+          use-mamba: true
+          python-version: '3.11.14'
+          channels: conda-forge,robostack-staging
           channel-priority: strict
           activate-environment: build-env
           auto-update-conda: false
@@ -110,13 +115,15 @@ jobs:
       - name: Install rattler-build and anaconda-client
         if: steps.should_build.outputs.should_build == 'true'
         run: |
-          conda install -c conda-forge rattler-build anaconda-client
+          mamba install -n build-env --override-channels -c conda-forge rattler-build anaconda-client -y
 
       - name: Show environment info
         if: steps.should_build.outputs.should_build == 'true'
         run: |
           conda info
-          conda list | grep -E "(rattler-build|anaconda-client)"
+          conda list -n build-env | grep -E "(rattler-build|anaconda-client)"
+          conda run -n build-env rattler-build --version
+          conda run -n build-env anaconda --version
           echo "Platform: ${{ matrix.platform }}"
           echo "OS: ${{ matrix.os }}"
 
@@ -124,9 +131,9 @@ jobs:
         if: steps.should_build.outputs.should_build == 'true'
         run: |
           if [[ "${{ matrix.platform }}" == "osx-arm64" ]]; then
-            rattler-build build -r ./recipes/msgs/recipe.yaml -c robostack -c robostack-staging -c conda-forge
+            conda run -n build-env rattler-build build -r ./recipes/msgs/recipe.yaml -c robostack -c robostack-staging -c conda-forge
           else
-            rattler-build build -r ./recipes/msgs/recipe.yaml -c robostack -c robostack-staging -c conda-forge
+            conda run -n build-env rattler-build build -r ./recipes/msgs/recipe.yaml -c robostack -c robostack-staging -c conda-forge
           fi
 
       - name: List built packages
@@ -157,9 +164,15 @@ jobs:
           retention-days: 30
 
       - name: Upload to Anaconda.org (unilab organization)
-        if: steps.should_build.outputs.should_build == 'true' && github.event.inputs.upload_to_anaconda == 'true'
+        if: |
+          steps.should_build.outputs.should_build == 'true' &&
+          (
+            github.event_name == 'release' ||
+            startsWith(github.ref, 'refs/tags/') ||
+            github.event.inputs.upload_to_anaconda == 'true'
+          )
         run: |
           for package in $(find ./output -name "*.conda"); do
             echo "Uploading $package to unilab organization..."
-            anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
+            conda run -n build-env anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
           done

.github/workflows/unilabos-conda-build.yml

@@ -1,14 +1,10 @@
 name: UniLabOS Conda Build
 
 on:
-  # 在 CI Check 成功后自动触发
+  # 在 Multi-Platform Conda Build 成功上传 msgs 后自动触发
   workflow_run:
-    workflows: ["CI Check"]
+    workflows: ["Multi-Platform Conda Build"]
     types: [completed]
-    branches: [main, dev]
-  # 标签推送时直接触发（发布版本）
-  push:
-    tags: ['v*']
   # 手动触发
   workflow_dispatch:
     inputs:
@@ -33,30 +29,30 @@ on:
         type: boolean
 
 jobs:
-  # 等待 CI Check 完成的 job (仅用于 workflow_run 触发)
-  wait-for-ci:
+  # 等待上游 msgs 构建完成的 job (仅用于 workflow_run 触发)
+  wait-for-upstream:
     runs-on: ubuntu-latest
     if: github.event_name == 'workflow_run'
     outputs:
       should_continue: ${{ steps.check.outputs.should_continue }}
     steps:
-      - name: Check CI status
+      - name: Check upstream workflow status
         id: check
         run: |
-          if [[ "${{ github.event.workflow_run.conclusion }}" == "success" ]]; then
+          if [[ "${{ github.event.workflow_run.conclusion }}" == "success" && ( "${{ github.event.workflow_run.event }}" == "release" || "${{ github.event.workflow_run.event }}" == "push" ) ]]; then
             echo "should_continue=true" >> $GITHUB_OUTPUT
-            echo "CI Check passed, proceeding with build"
+            echo "Multi-Platform Conda Build passed for release/tag, proceeding with UniLabOS build"
           else
             echo "should_continue=false" >> $GITHUB_OUTPUT
-            echo "CI Check did not succeed (status: ${{ github.event.workflow_run.conclusion }}), skipping build"
+            echo "Upstream workflow is not a successful release/tag build (status: ${{ github.event.workflow_run.conclusion }}, event: ${{ github.event.workflow_run.event }}), skipping build"
           fi
 
   build:
-    needs: [wait-for-ci]
-    # 运行条件：workflow_run 触发且 CI 成功，或者其他触发方式
+    needs: [wait-for-upstream]
+    # 运行条件：workflow_run 触发且上游成功，或者手动触发
     if: |
       always() &&
-      (needs.wait-for-ci.result == 'skipped' || needs.wait-for-ci.outputs.should_continue == 'true')
+      (needs.wait-for-upstream.result == 'skipped' || needs.wait-for-upstream.outputs.should_continue == 'true')
     strategy:
       fail-fast: false
       matrix:
@@ -79,7 +75,7 @@ jobs:
     steps:
       - uses: actions/checkout@v6
         with:
-          # 如果是 workflow_run 触发，使用触发 CI Check 的 commit
+          # 如果是 workflow_run 触发，使用上游 conda 包构建的 commit
           ref: ${{ github.event.workflow_run.head_sha || github.ref }}
           fetch-depth: 0
 
@@ -96,12 +92,14 @@ jobs:
             echo "should_build=false" >> $GITHUB_OUTPUT
           fi
 
-      - name: Setup Miniconda
+      - name: Setup Miniforge
         if: steps.should_build.outputs.should_build == 'true'
         uses: conda-incubator/setup-miniconda@v3
         with:
-          miniconda-version: 'latest'
-          channels: conda-forge,robostack-staging,uni-lab,defaults
+          miniforge-version: latest
+          use-mamba: true
+          python-version: '3.11.14'
+          channels: conda-forge,robostack-staging,uni-lab
           channel-priority: strict
           activate-environment: build-env
           auto-update-conda: false
@@ -110,20 +108,22 @@ jobs:
       - name: Install rattler-build and anaconda-client
         if: steps.should_build.outputs.should_build == 'true'
         run: |
-          conda install -c conda-forge rattler-build anaconda-client
+          mamba install -n build-env --override-channels -c conda-forge rattler-build anaconda-client -y
 
       - name: Show environment info
         if: steps.should_build.outputs.should_build == 'true'
         run: |
           conda info
-          conda list | grep -E "(rattler-build|anaconda-client)"
+          conda list -n build-env | grep -E "(rattler-build|anaconda-client)"
+          conda run -n build-env rattler-build --version
+          conda run -n build-env anaconda --version
           echo "Platform: ${{ matrix.platform }}"
           echo "OS: ${{ matrix.os }}"
-          echo "Build full package: ${{ github.event.inputs.build_full || 'false' }}"
+          echo "Build full package: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.build_full == 'true' }}"
           echo "Building packages:"
           echo "  - unilabos-env (environment dependencies)"
           echo "  - unilabos (with pip package)"
-          if [[ "${{ github.event.inputs.build_full }}" == "true" ]]; then
+          if [[ "${{ github.event_name == 'workflow_dispatch' && github.event.inputs.build_full == 'true' }}" == "true" ]]; then
             echo "  - unilabos-full (complete package)"
           fi
 
@@ -131,14 +131,19 @@ jobs:
         if: steps.should_build.outputs.should_build == 'true'
         run: |
           echo "Building unilabos-env (conda environment dependencies)..."
-          rattler-build build -r .conda/environment/recipe.yaml -c uni-lab -c robostack-staging -c conda-forge
+          conda run -n build-env rattler-build build -r .conda/environment/recipe.yaml -c uni-lab -c robostack-staging -c conda-forge
 
       - name: Upload unilabos-env to Anaconda.org (if enabled)
-        if: steps.should_build.outputs.should_build == 'true' && github.event.inputs.upload_to_anaconda == 'true'
+        if: |
+          steps.should_build.outputs.should_build == 'true' &&
+          (
+            github.event_name == 'workflow_run' ||
+            github.event.inputs.upload_to_anaconda == 'true'
+          )
         run: |
           echo "Uploading unilabos-env to uni-lab organization..."
           for package in $(find ./output -name "unilabos-env*.conda"); do
-            anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
+            conda run -n build-env anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
           done
 
       - name: Build unilabos (with pip package)
@@ -146,33 +151,40 @@ jobs:
         run: |
           echo "Building unilabos package..."
           # 如果已上传到 Anaconda，从 uni-lab channel 获取 unilabos-env；否则从本地 output 获取
-          rattler-build build -r .conda/base/recipe.yaml -c uni-lab -c robostack-staging -c conda-forge --channel ./output
+          conda run -n build-env rattler-build build -r .conda/base/recipe.yaml -c uni-lab -c robostack-staging -c conda-forge --channel ./output
 
       - name: Upload unilabos to Anaconda.org (if enabled)
-        if: steps.should_build.outputs.should_build == 'true' && github.event.inputs.upload_to_anaconda == 'true'
+        if: |
+          steps.should_build.outputs.should_build == 'true' &&
+          (
+            github.event_name == 'workflow_run' ||
+            github.event.inputs.upload_to_anaconda == 'true'
+          )
         run: |
           echo "Uploading unilabos to uni-lab organization..."
           for package in $(find ./output -name "unilabos-0*.conda" -o -name "unilabos-[0-9]*.conda"); do
-            anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
+            conda run -n build-env anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
           done
 
       - name: Build unilabos-full - Only when explicitly requested
         if: |
           steps.should_build.outputs.should_build == 'true' && 
+          github.event_name == 'workflow_dispatch' &&
           github.event.inputs.build_full == 'true'
         run: |
           echo "Building unilabos-full package on ${{ matrix.platform }}..."
-          rattler-build build -r .conda/full/recipe.yaml -c uni-lab -c robostack-staging -c conda-forge --channel ./output
+          conda run -n build-env rattler-build build -r .conda/full/recipe.yaml -c uni-lab -c robostack-staging -c conda-forge --channel ./output
 
       - name: Upload unilabos-full to Anaconda.org (if enabled)
         if: |
           steps.should_build.outputs.should_build == 'true' && 
+          github.event_name == 'workflow_dispatch' &&
           github.event.inputs.build_full == 'true' &&
           github.event.inputs.upload_to_anaconda == 'true'
         run: |
           echo "Uploading unilabos-full to uni-lab organization..."
           for package in $(find ./output -name "unilabos-full*.conda"); do
-            anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
+            conda run -n build-env anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
           done
 
       - name: List built packages

.gitignore

@@ -251,4 +251,7 @@ ros-humble-unilabos-msgs-0.9.13-h6403a04_5.tar.bz2
 *.bz2
 test_config.py
 
-
+# Local config files with secrets
+yibin_coin_cell_only_config.json
+yibin_electrolyte_config.json
+yibin_electrolyte_only_config.json

260415csv_export_walkthrough.md

@@ -0,0 +1,72 @@
+# CSV 导出功能变更概要
+
+## 修改的文件
+
+### 1. [bioyond_cell_workstation.py](file:///d:/UniLabdev/Uni-Lab-OS/unilabos/devices/workstation/bioyond_studio/bioyond_cell/bioyond_cell_workstation.py)
+
+#### 新增导入
+- `import csv` 和 `import os`（L14-15）
+
+#### 新增方法
+
+| 方法 | 功能 |
+|------|------|
+| `_extract_prep_bottle_from_report` | 从 order_finish 报文提取**配液瓶**信息（每订单最多1个） |
+| `_extract_vial_bottles_from_report` | 从 order_finish 报文提取**分液瓶**信息（每订单可多个，返回数组） |
+| `_export_order_csv` | 汇总所有信息写入 CSV 文件 |
+
+#### 配液瓶筛选逻辑 (`_extract_prep_bottle_from_report`)
+- `typemode="1"`, `realQuantity=1`, `usedQuantity=1`
+- `locationId` 以 `3a19deae-2c7a-` 开头（手动传递窗）
+- LIMS API 二次确认：`typeName` 含"配液瓶(小)"或"配液瓶(大)"
+
+#### 分液瓶筛选逻辑 (`_extract_vial_bottles_from_report`)
+- `typemode="1"`, `realQuantity=1`, `usedQuantity=1`
+- `locationId` 以 `3a19debc-84b5-` 或 `3a19debe-5200` 开头（自动堆栈-左/右）
+- LIMS API 二次确认：`typeName` 为"5ml分液瓶"或"20ml分液瓶"
+- **返回数组**，支持 1×5ml + n×20ml 的组合
+
+#### 修改的方法
+
+| 方法 | 变更 |
+|------|------|
+| `_submit_and_wait_orders` | 新增配液瓶+分液瓶提取步骤，将 `prep_bottles` 和 `vial_bottles` 存入 `final_result` |
+| `create_orders` | 添加 `csv_export_path` 参数，末尾调用 `_export_order_csv` |
+| `create_orders_formulation` | 添加 `csv_export_path` 参数，末尾调用 `_export_order_csv` |
+
+#### CSV 输出格式
+```
+orderCode, orderName, 配液瓶类型, 配液瓶二维码, 分液瓶类型, 分液瓶二维码, 目标配液质量比, 真实配液质量比, 时间
+```
+- 单个分液瓶时直接写值；多个分液瓶时类型和二维码用 JSON 数组表示
+- CSV 编码使用 `utf-8-sig`（兼容 Excel 打开）
+- `csv_export_path` 默认为空字符串，不传则不导出（向后兼容）
+
+---
+
+### 2. [bioyond_cell.yaml](file:///d:/UniLabdev/Uni-Lab-OS/unilabos/registry/devices/bioyond_cell.yaml)
+
+为两个 action 注册了 `csv_export_path` 参数：
+
+- `auto-create_orders`: `goal_default` + `schema.properties.goal.properties` 中添加 `csv_export_path`
+- `auto-create_orders_formulation`: 同上
+
+---
+
+### 3. [coin_cell_assembly.py](file:///d:/UniLabdev/Uni-Lab-OS/unilabos/devices/workstation/coin_cell_assembly/coin_cell_assembly.py) 的 CSV 改动与全流程追溯
+
+在 `bioyond_cell_workstation.py` 的 `_submit_and_wait_orders` 最后阶段，提取 `prep_bottles`（配液瓶）和 `vial_bottles`（分液瓶）的条码并随 `mass_ratios` 数组一起下发给各下游工站（例如扣电组装站），实现跨站的全流程配方追溯。
+
+并在扣电站生成的 `date_xxx.csv` 中，**替换并新增**了以下列：
+- 移除了原有的 `formulation_order_code` 与合并的 `formulation_ratio` 列。
+- 新增 `orderName` 导出
+- 新增 `prep_bottle_barcode`（奔曜传递的配液瓶二维码）
+- 新增 `vial_bottle_barcodes`（奔曜传递的分液瓶二维码，多瓶时存 JSON 数组）
+- 新增 `target_mass_ratio` 理论目标质量比
+- 新增 `real_mass_ratio` 实际称量真实质量比
+
+*注意：这与操作人员在手套箱内扫码传入扣电站的 `electrolyte_code` 是单独记录的，方便做数据核对。*
+
+## 向后兼容性
+- `csv_export_path` 默认值为 `""`（空字符串），现有调用不受影响
+- 新增的 `prep_bottles` 和 `vial_bottles` 字段为 `final_result` 和 `mass_ratios` 内部的新增附属字段，不破坏现有数据结构。

CHANGES_2026_03_24.md

@@ -0,0 +1,168 @@
+# 变更说明 2026-03-24
+
+## 问题背景
+
+`BioyondElectrolyteDeck`（原 `BIOYOND_YB_Deck`）迁移后，前端物料未能正常上传/同步。
+
+---
+
+## 修复内容
+
+### 1. `unilabos/resources/bioyond/decks.py`
+
+- 补回 `setup: bool = False` 参数及 `if setup: self.setup()` 逻辑，与旧版 `BIOYOND_YB_Deck` 保持一致
+- 工厂函数 `bioyond_electrolyte_deck` 保留显式调用 `deck.setup()`，避免重复初始化
+
+```python
+# 修复前（缺少 setup 参数，无法通过 setup=True 触发初始化）
+def __init__(self, name, size_x, size_y, size_z, category):
+    super().__init__(...)
+
+# 修复后
+def __init__(self, name, size_x, size_y, size_z, category, setup: bool = False):
+    super().__init__(...)
+    if setup:
+        self.setup()
+```
+
+---
+
+### 2. `unilabos/resources/graphio.py`
+
+- 修复 `resource_bioyond_to_plr` 中两处 `bottle.tracker.liquids` 直接赋值导致的崩溃
+- `ResourceHolder`（如枪头盒的 TipSpot 槽位）没有 `tracker` 属性，直接访问会抛出 `AttributeError`，阻断整个 Bioyond 同步流程
+
+```python
+# 修复前
+bottle.tracker.liquids = [...]
+
+# 修复后
+if hasattr(bottle, 'tracker') and bottle.tracker is not None:
+    bottle.tracker.liquids = [...]
+```
+
+---
+
+### 3. `unilabos/app/main.py`
+
+- 保留 `file_path is not None` 条件不变（已还原），并补充注释说明原因
+- 该逻辑只在**本地文件模式**下有意义：本地 graph 文件只含设备结构，远端有已保存物料，merge 才能将两者合并
+- 远端模式（`file_path=None`）下，`resource_tree_set` 和 `request_startup_json` 来自同一份数据，merge 为空操作，条件是否加 `file_path is not None` 对结果没有影响
+
+---
+
+### 4. `unilabos/devices/workstation/bioyond_studio/station.py` ⭐ 核心修复
+
+- 当 deck 通过反序列化创建时，不会自动调用 `setup()`，导致 `deck.children` 为空，`warehouses` 始终是 `{}`
+- 增加兜底逻辑：仓库扫描后仍为空，则主动调用 `deck.setup()` 初始化仓库
+- 这是导致所有物料放置失败（`warehouse '...' 在deck中不存在。可用warehouses: []`）的根本原因
+
+```python
+# 新增兜底
+if not self.deck.warehouses and hasattr(self.deck, "setup") and callable(self.deck.setup):
+    logger.info("Deck 无仓库子节点，调用 setup() 初始化仓库")
+    self.deck.setup()
+```
+
+---
+
+---
+
+## 补充修复 2026-03-25：依华扣电组装工站子物料未上传
+
+### 问题
+
+`CoinCellAssemblyWorkstation.post_init` 直接上传空 deck，未调用 `deck.setup()`，导致：
+- 前端子物料（成品弹夹、料盘、瓶架等）不显示
+- 运行时 `self.deck.get_resource("成品弹夹")` 抛出 `ResourceNotFoundError`
+
+### 修复文件
+
+**`unilabos/devices/workstation/coin_cell_assembly/YB_YH_materials.py`**
+- `YihuaCoinCellDeck.__init__` 补回 `setup: bool = False` 参数及 `if setup: self.setup()` 逻辑
+
+**`unilabos/devices/workstation/coin_cell_assembly/coin_cell_assembly.py`**
+- `post_init` 中增加与 Bioyond 工站相同的兜底逻辑：deck 无子节点时调用 `deck.setup()` 初始化
+
+```python
+# post_init 中新增
+if self.deck and not self.deck.children and hasattr(self.deck, "setup") and callable(self.deck.setup):
+    logger.info("YihuaCoinCellDeck 无子节点，调用 setup() 初始化")
+    self.deck.setup()
+```
+
+### 联动 Bug：`MaterialPlate.create_with_holes` 构造顺序错误
+
+**现象**：`deck.setup()` 被调用后，启动时抛出：
+```
+设备后初始化失败: Must specify either `ordered_items` or `ordering`.
+```
+
+**根因**：`create_with_holes` 原来的逻辑是先构造空的 `MaterialPlate` 实例，再 assign 洞位：
+```python
+# 旧（错误）：cls(...) 时 ordered_items=None → ItemizedResource.__init__ 立即报错
+plate = cls(name=name, ...)          # ← 这里就崩了
+holes = create_ordered_items_2d(...) # ← 根本没走到这里
+for hole_name, hole in holes.items():
+    plate.assign_child_resource(...)
+```
+pylabrobot 的 `ItemizedResource.__init__` 强制要求 `ordered_items` 和 `ordering` 必须有一个不为 `None`，空构造直接失败。
+
+**修复**：先建洞位，再作为 `ordered_items` 传给构造函数：
+```python
+# 新（正确）：先建洞位，再一次性传入构造函数
+holes = create_ordered_items_2d(klass=MaterialHole, num_items_x=4, ...)
+return cls(name=name, ..., ordered_items=holes)
+```
+
+> 此 bug 此前未被触发，是因为 `deck.setup()` 从未被调用到——正是上面 `post_init` 兜底修复引出的联动问题。
+
+---
+
+## 补充修复 2026-03-25：3→2→1 转运资源同步失败
+
+### 问题
+
+配液工站（Bioyond）完成分液后，调用 `transfer_3_to_2_to_1_auto` 将分液瓶板转运到扣电工站（BatteryStation）。物理 LIMS 转运成功，但数字孪生资源树同步始终失败：
+```
+[资源同步] ❌ 失败: 目标设备 'BatteryStation' 中未找到资源 'bottle_rack_6x2'
+```
+
+### 根因
+
+`_get_resource_from_device` 方法负责跨设备查找资源对象，有两个问题：
+
+1. **原始路径完全失效**：尝试 `from unilabos.app.ros2_app import get_device_plr_resource_by_name`，但该模块不存在，`ImportError` 被 `except Exception: pass` 静默吞掉
+2. **降级路径搜错地方**：遍历 `self._plr_resources`（Bioyond 自己的资源），不可能找到 BatteryStation 的 `bottle_rack_6x2`
+
+### 修复文件
+
+**`unilabos/devices/workstation/bioyond_studio/bioyond_cell/bioyond_cell_workstation.py`**
+
+改用全局设备注册表 `registered_devices` 跨设备访问目标 deck：
+
+```python
+# 修复前（失效）
+from unilabos.app.ros2_app import get_device_plr_resource_by_name  # 模块不存在
+return get_device_plr_resource_by_name(device_id, resource_name)
+
+# 修复后
+from unilabos.ros.nodes.base_device_node import registered_devices
+device_info = registered_devices.get(device_id)
+if device_info is not None:
+    driver = device_info.get("driver_instance")  # TypedDict 是 dict，必须用 .get()
+    if driver is not None:
+        deck = getattr(driver, "deck", None)
+        if deck is not None:
+            res = deck.get_resource(resource_name)
+```
+
+关键细节：`DeviceInfoType` 是 `TypedDict`（即普通 `dict`），必须用 `device_info.get("driver_instance")` 而非 `getattr(device_info, "driver_instance", None)`——后者对字典永远返回 `None`。
+
+---
+
+## 根本原因分析
+
+旧版以**本地文件模式**启动（有 `graph` 文件），deck 在启动前已通过 `merge_remote_resources` 获得仓库子节点，反序列化时能正确恢复 warehouses。
+
+新版以**远端模式**启动（`file_path=None`），deck 反序列化时没有仓库子节点，`station.py` 扫描为空，所有物料的 warehouse 匹配失败，Bioyond 同步的 16 个资源全部无法放置到对应仓库位，前端不显示。

docs/advanced_usage/configuration.md

@@ -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` 和 `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` 和 `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）：**

docs/developer_guide/networking_overview.md

@@ -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

docs/user_guide/best_practice.md

@@ -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)
 
 ---
 

docs/user_guide/graph_files.md

@@ -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

docs/user_guide/launch.md

@@ -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` 和 `--sk` 参数
 - 配置文件中包含正确的认证信息
 

recipes/conda_build_config.yaml

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

recipes/msgs/recipe.yaml

@@ -1,6 +1,6 @@
 package:
   name: ros-humble-unilabos-msgs
-  version: 0.10.19
+  version: 0.11.2
 source:
   path: ../../unilabos_msgs
   target_directory: src

recipes/unilabos/recipe.yaml

@@ -1,6 +1,6 @@
 package:
   name: unilabos
-  version: "0.10.19"
+  version: "0.11.2"
 
 source:
   path: ../..

setup.py

@@ -4,7 +4,7 @@ package_name = 'unilabos'
 
 setup(
     name=package_name,
-    version='0.10.19',
+    version='0.11.2',
     packages=find_packages(),
     include_package_data=True,
     install_requires=['setuptools'],

tests/compile/test_batch_transfer_protocol.py

@@ -1,296 +0,0 @@
-"""
-批量转运编译器测试
-
-覆盖：单物料退化、刚好一批、多批次、空操作、AGV 配置发现、children dict 状态。
-"""
-
-import pytest
-import networkx as nx
-
-from unilabos.compile.batch_transfer_protocol import generate_batch_transfer_protocol
-from unilabos.compile.agv_transfer_protocol import generate_agv_transfer_protocol
-from unilabos.compile._agv_utils import find_agv_config, get_agv_capacity, split_batches
-
-
-# ============ 构建测试用设备图 ============
-
-def _make_graph(capacity_x=2, capacity_y=1, capacity_z=1):
-    """构建包含 AGV 节点的测试设备图"""
-    G = nx.DiGraph()
-
-    # AGV 节点
-    G.add_node("AGV", **{
-        "type": "device",
-        "class_": "agv_transport_station",
-        "config": {
-            "protocol_type": ["AGVTransferProtocol", "BatchTransferProtocol"],
-            "device_roles": {
-                "navigator": "zhixing_agv",
-                "arm": "zhixing_ur_arm"
-            },
-            "route_table": {
-                "StationA->StationB": {
-                    "nav_command": '{"target": "LM1"}',
-                    "arm_pick": '{"task_name": "pick.urp"}',
-                    "arm_place": '{"task_name": "place.urp"}'
-                },
-                "AGV->StationA": {
-                    "nav_command": '{"target": "LM1"}',
-                    "arm_pick": '{"task_name": "pick.urp"}',
-                    "arm_place": '{"task_name": "place.urp"}'
-                },
-                "StationA->StationA": {
-                    "nav_command": '{"target": "LM1"}',
-                    "arm_pick": '{"task_name": "pick.urp"}',
-                    "arm_place": '{"task_name": "place.urp"}'
-                },
-            }
-        }
-    })
-
-    # AGV 子设备
-    G.add_node("zhixing_agv", type="device", class_="zhixing_agv")
-    G.add_node("zhixing_ur_arm", type="device", class_="zhixing_ur_arm")
-    G.add_edge("AGV", "zhixing_agv")
-    G.add_edge("AGV", "zhixing_ur_arm")
-
-    # AGV Warehouse 子资源
-    G.add_node("agv_platform", **{
-        "type": "warehouse",
-        "config": {
-            "name": "agv_platform",
-            "num_items_x": capacity_x,
-            "num_items_y": capacity_y,
-            "num_items_z": capacity_z,
-        }
-    })
-    G.add_edge("AGV", "agv_platform")
-
-    # 来源/目标工站
-    G.add_node("StationA", type="device", class_="workstation")
-    G.add_node("StationB", type="device", class_="workstation")
-
-    return G
-
-
-def _make_repos(items_count=2):
-    """构建测试用的 from_repo 和 to_repo dict"""
-    children = {}
-    for i in range(items_count):
-        pos = f"A{i + 1:02d}"
-        children[pos] = {
-            "id": f"resource_{i + 1}",
-            "name": f"R{i + 1}",
-            "parent": "StationA",
-            "type": "resource",
-        }
-
-    from_repo = {
-        "StationA": {
-            "id": "StationA",
-            "name": "StationA",
-            "children": children,
-        }
-    }
-    to_repo = {
-        "StationB": {
-            "id": "StationB",
-            "name": "StationB",
-            "children": {},
-        }
-    }
-    return from_repo, to_repo
-
-
-def _make_items(count=2):
-    """构建 transfer_resources / from_positions / to_positions"""
-    resources = [
-        {
-            "id": f"resource_{i + 1}",
-            "name": f"R{i + 1}",
-            "sample_id": f"uuid-{i + 1}",
-            "parent": "StationA",
-            "type": "resource",
-        }
-        for i in range(count)
-    ]
-    from_positions = [f"A{i + 1:02d}" for i in range(count)]
-    to_positions = [f"A{i + 1:02d}" for i in range(count)]
-    return resources, from_positions, to_positions
-
-
-# ============ _agv_utils 测试 ============
-
-class TestAGVUtils:
-    def test_find_agv_config(self):
-        G = _make_graph()
-        cfg = find_agv_config(G)
-        assert cfg["agv_id"] == "AGV"
-        assert cfg["device_roles"]["navigator"] == "zhixing_agv"
-        assert cfg["device_roles"]["arm"] == "zhixing_ur_arm"
-        assert "StationA->StationB" in cfg["route_table"]
-
-    def test_find_agv_config_by_id(self):
-        G = _make_graph()
-        cfg = find_agv_config(G, agv_id="AGV")
-        assert cfg["agv_id"] == "AGV"
-
-    def test_find_agv_config_not_found(self):
-        G = nx.DiGraph()
-        G.add_node("SomeDevice", type="device", class_="pump")
-        with pytest.raises(ValueError, match="未找到 AGV"):
-            find_agv_config(G)
-
-    def test_get_agv_capacity(self):
-        G = _make_graph(capacity_x=2, capacity_y=1, capacity_z=1)
-        assert get_agv_capacity(G, "AGV") == 2
-
-    def test_get_agv_capacity_multi_layer(self):
-        G = _make_graph(capacity_x=1, capacity_y=2, capacity_z=3)
-        assert get_agv_capacity(G, "AGV") == 6
-
-    def test_split_batches_exact(self):
-        assert split_batches([1, 2], 2) == [[1, 2]]
-
-    def test_split_batches_overflow(self):
-        assert split_batches([1, 2, 3], 2) == [[1, 2], [3]]
-
-    def test_split_batches_single(self):
-        assert split_batches([1], 4) == [[1]]
-
-    def test_split_batches_zero_capacity(self):
-        with pytest.raises(ValueError):
-            split_batches([1], 0)
-
-
-# ============ 批量转运编译器测试 ============
-
-class TestBatchTransferProtocol:
-    def test_empty_items(self):
-        """空物料列表返回空 steps"""
-        G = _make_graph()
-        from_repo, to_repo = _make_repos(0)
-        steps = generate_batch_transfer_protocol(G, from_repo, to_repo, [], [], [])
-        assert steps == []
-
-    def test_single_item(self):
-        """单物料转运（BatchTransfer 退化为单物料）"""
-        G = _make_graph(capacity_x=2)
-        from_repo, to_repo = _make_repos(1)
-        resources, from_pos, to_pos = _make_items(1)
-        steps = generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
-
-        # 应该有: nav到来源 + 1个pick + nav到目标 + 1个place = 4 steps
-        assert len(steps) == 4
-        assert steps[0]["action_name"] == "send_nav_task"
-        assert steps[1]["action_name"] == "move_pos_task"
-        assert steps[1]["_transfer_meta"]["phase"] == "pick"
-        assert steps[2]["action_name"] == "send_nav_task"
-        assert steps[3]["action_name"] == "move_pos_task"
-        assert steps[3]["_transfer_meta"]["phase"] == "place"
-
-    def test_exact_capacity(self):
-        """物料数 = AGV 容量，刚好一批"""
-        G = _make_graph(capacity_x=2)
-        from_repo, to_repo = _make_repos(2)
-        resources, from_pos, to_pos = _make_items(2)
-        steps = generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
-
-        # nav + 2 pick + nav + 2 place = 6 steps
-        assert len(steps) == 6
-        pick_steps = [s for s in steps if s.get("_transfer_meta", {}).get("phase") == "pick"]
-        place_steps = [s for s in steps if s.get("_transfer_meta", {}).get("phase") == "place"]
-        assert len(pick_steps) == 2
-        assert len(place_steps) == 2
-
-    def test_multi_batch(self):
-        """物料数 > AGV 容量，自动分批"""
-        G = _make_graph(capacity_x=2)
-        from_repo, to_repo = _make_repos(3)
-        resources, from_pos, to_pos = _make_items(3)
-        steps = generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
-
-        # 批次1: nav + 2 pick + nav + 2 place + nav(返回) = 7
-        # 批次2: nav + 1 pick + nav + 1 place = 4
-        # 总计 11 steps
-        assert len(steps) == 11
-
-        nav_steps = [s for s in steps if s["action_name"] == "send_nav_task"]
-        # 批次1: 2 nav(去来源+去目标) + 1 nav(返回) + 批次2: 2 nav = 5 nav
-        assert len(nav_steps) == 5
-
-    def test_children_dict_updated(self):
-        """compile 阶段三方 children dict 状态正确"""
-        G = _make_graph(capacity_x=2)
-        from_repo, to_repo = _make_repos(2)
-        resources, from_pos, to_pos = _make_items(2)
-
-        assert "A01" in from_repo["StationA"]["children"]
-        assert "A02" in from_repo["StationA"]["children"]
-        assert len(to_repo["StationB"]["children"]) == 0
-
-        generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
-
-        # compile 后 from_repo 的 children 应该被 pop 掉
-        assert "A01" not in from_repo["StationA"]["children"]
-        assert "A02" not in from_repo["StationA"]["children"]
-        # to_repo 应该有新物料
-        assert "A01" in to_repo["StationB"]["children"]
-        assert "A02" in to_repo["StationB"]["children"]
-        assert to_repo["StationB"]["children"]["A01"]["id"] == "resource_1"
-
-    def test_device_ids_from_config(self):
-        """设备 ID 全部从配置读取，不硬编码"""
-        G = _make_graph()
-        from_repo, to_repo = _make_repos(1)
-        resources, from_pos, to_pos = _make_items(1)
-        steps = generate_batch_transfer_protocol(G, from_repo, to_repo, resources, from_pos, to_pos)
-
-        device_ids = {s["device_id"] for s in steps}
-        assert "zhixing_agv" in device_ids
-        assert "zhixing_ur_arm" in device_ids
-
-    def test_route_not_found(self):
-        """路由表中无对应路线时报错"""
-        G = _make_graph()
-        from_repo = {"Unknown": {"id": "Unknown", "children": {"A01": {"id": "R1", "parent": "Unknown"}}}}
-        to_repo = {"Other": {"id": "Other", "children": {}}}
-        resources = [{"id": "R1", "name": "R1"}]
-        with pytest.raises(KeyError, match="路由表"):
-            generate_batch_transfer_protocol(G, from_repo, to_repo, resources, ["A01"], ["B01"])
-
-    def test_length_mismatch(self):
-        """三个数组长度不一致时报错"""
-        G = _make_graph()
-        from_repo, to_repo = _make_repos(2)
-        resources = [{"id": "R1"}]
-        with pytest.raises(ValueError, match="长度不一致"):
-            generate_batch_transfer_protocol(G, from_repo, to_repo, resources, ["A01", "A02"], ["B01"])
-
-
-# ============ 改造后的 AGV 单物料编译器测试 ============
-
-class TestAGVTransferProtocol:
-    def test_single_transfer_from_config(self):
-        """改造后的单物料编译器从 G 读取配置"""
-        G = _make_graph()
-        from_repo = {"StationA": {"id": "StationA", "children": {"A01": {"id": "R1", "parent": "StationA"}}}}
-        to_repo = {"StationB": {"id": "StationB", "children": {}}}
-        steps = generate_agv_transfer_protocol(G, from_repo, "A01", to_repo, "B01")
-
-        assert len(steps) == 2
-        assert steps[0]["device_id"] == "zhixing_agv"
-        assert steps[0]["action_name"] == "send_nav_task"
-        assert steps[1]["device_id"] == "zhixing_ur_arm"
-        assert steps[1]["action_name"] == "move_pos_task"
-
-    def test_children_updated(self):
-        """单物料编译后 children dict 正确更新"""
-        G = _make_graph()
-        from_repo = {"StationA": {"id": "StationA", "children": {"A01": {"id": "R1", "parent": "StationA"}}}}
-        to_repo = {"StationB": {"id": "StationB", "children": {}}}
-        generate_agv_transfer_protocol(G, from_repo, "A01", to_repo, "B01")
-
-        assert "A01" not in from_repo["StationA"]["children"]
-        assert "B01" in to_repo["StationB"]["children"]
-        assert to_repo["StationB"]["children"]["B01"]["parent"] == "StationB"

tests/compile/test_full_chain_conversion_to_compile.py

@@ -1,706 +0,0 @@
-"""
-全链路集成测试：ROS Goal 转换 → ResourceTreeSet → get_plr_nested_dict → 编译器 → 动作列表
-
-模拟 workstation.py 中的完整路径：
-1. host 返回 raw_data（模拟 resource_get 响应）
-2. ResourceTreeSet.from_raw_dict_list(raw_data) 构建资源树
-3. tree.root_node.get_plr_nested_dict() 生成嵌套 dict
-4. protocol_kwargs 传给编译器
-5. 编译器返回 action_list，验证结构和关键字段
-"""
-
-import copy
-import json
-import pytest
-import networkx as nx
-
-from unilabos.resources.resource_tracker import (
-    ResourceDictInstance,
-    ResourceTreeSet,
-)
-from unilabos.compile.utils.resource_helper import (
-    ensure_resource_instance,
-    resource_to_dict,
-    get_resource_id,
-    get_resource_data,
-)
-from unilabos.compile.utils.vessel_parser import get_vessel
-
-# ============ 构建模拟设备图 ============
-
-def _build_test_graph():
-    """构建一个包含常用设备节点的测试图"""
-    G = nx.DiGraph()
-
-    # 容器
-    G.add_node("reactor_01", **{
-        "id": "reactor_01",
-        "name": "reactor_01",
-        "type": "device",
-        "class": "virtual_stirrer",
-        "data": {},
-        "config": {},
-    })
-
-    # 搅拌设备
-    G.add_node("stirrer_1", **{
-        "id": "stirrer_1",
-        "name": "stirrer_1",
-        "type": "device",
-        "class": "virtual_stirrer",
-        "data": {},
-        "config": {},
-    })
-    G.add_edge("stirrer_1", "reactor_01")
-
-    # 加热设备
-    G.add_node("heatchill_1", **{
-        "id": "heatchill_1",
-        "name": "heatchill_1",
-        "type": "device",
-        "class": "virtual_heatchill",
-        "data": {},
-        "config": {},
-    })
-    G.add_edge("heatchill_1", "reactor_01")
-
-    # 试剂容器（液体）
-    G.add_node("flask_water", **{
-        "id": "flask_water",
-        "name": "flask_water",
-        "type": "container",
-        "class": "",
-        "data": {"reagent_name": "water", "liquid": [{"liquid_type": "water", "volume": 500.0}]},
-        "config": {"reagent": "water"},
-    })
-
-    # 固体加样器
-    G.add_node("solid_dispenser_1", **{
-        "id": "solid_dispenser_1",
-        "name": "solid_dispenser_1",
-        "type": "device",
-        "class": "solid_dispenser",
-        "data": {},
-        "config": {},
-    })
-
-    # 泵
-    G.add_node("pump_1", **{
-        "id": "pump_1",
-        "name": "pump_1",
-        "type": "device",
-        "class": "virtual_pump",
-        "data": {},
-        "config": {},
-    })
-    G.add_edge("flask_water", "pump_1")
-    G.add_edge("pump_1", "reactor_01")
-
-    return G
-
-
-# ============ 构建模拟 host 返回数据 ============
-
-def _make_raw_resource(
-    id="reactor_01",
-    uuid="uuid-reactor-01",
-    name="reactor_01",
-    klass="virtual_stirrer",
-    type_="device",
-    parent=None,
-    parent_uuid=None,
-    data=None,
-    config=None,
-    extra=None,
-):
-    """模拟 host 返回的单个资源 dict（与 resource_get 服务响应一致）"""
-    return {
-        "id": id,
-        "uuid": uuid,
-        "name": name,
-        "class": klass,
-        "type": type_,
-        "parent": parent,
-        "parent_uuid": parent_uuid or "",
-        "description": "",
-        "config": config or {},
-        "data": data or {},
-        "extra": extra or {},
-        "position": {"x": 0.0, "y": 0.0, "z": 0.0},
-    }
-
-
-def _simulate_workstation_resource_enrichment(raw_data_list, field_type="unilabos_msgs/Resource"):
-    """
-    模拟 workstation.py 中 resource enrichment 的核心逻辑：
-    raw_data → ResourceTreeSet.from_raw_dict_list → get_plr_nested_dict → protocol_kwargs[k]
-    """
-    tree_set = ResourceTreeSet.from_raw_dict_list(raw_data_list)
-
-    if field_type == "unilabos_msgs/Resource":
-        # 单个 Resource：取第一棵树的根节点
-        root_instance = tree_set.trees[0].root_node if tree_set.trees else None
-        return root_instance.get_plr_nested_dict() if root_instance else {}
-    else:
-        # sequence<Resource>：返回列表
-        return [tree.root_node.get_plr_nested_dict() for tree in tree_set.trees]
-
-
-# ============ 全链路测试：Stir 协议 ============
-
-class TestStirProtocolFullChain:
-    """Stir 协议全链路：host raw_data → enriched dict → compiler → action_list"""
-
-    def test_stir_with_enriched_resource_dict(self):
-        """单个 Resource 经过 enrichment 后传给 stir compiler"""
-        from unilabos.compile.stir_protocol import generate_stir_protocol
-
-        raw_data = [_make_raw_resource(
-            id="reactor_01", uuid="uuid-reactor-01",
-            klass="virtual_stirrer", type_="device",
-        )]
-
-        # 模拟 workstation enrichment
-        enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
-
-        assert enriched_vessel["id"] == "reactor_01"
-        assert enriched_vessel["uuid"] == "uuid-reactor-01"
-        assert enriched_vessel["class"] == "virtual_stirrer"
-
-        # 传给编译器
-        G = _build_test_graph()
-        actions = generate_stir_protocol(
-            G=G,
-            vessel=enriched_vessel,
-            time="60",
-            stir_speed=300.0,
-        )
-
-        assert isinstance(actions, list)
-        assert len(actions) >= 1
-        action = actions[0]
-        assert action["device_id"] == "stirrer_1"
-        assert action["action_name"] == "stir"
-        assert "vessel" in action["action_kwargs"]
-        assert action["action_kwargs"]["vessel"]["id"] == "reactor_01"
-
-    def test_stir_with_resource_dict_instance(self):
-        """直接用 ResourceDictInstance 传给 stir compiler（通过 get_plr_nested_dict 转换）"""
-        from unilabos.compile.stir_protocol import generate_stir_protocol
-
-        raw_data = [_make_raw_resource(id="reactor_01")]
-        tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
-        inst = tree_set.trees[0].root_node
-
-        # 通过 resource_to_dict 转换（resource_helper 兼容层）
-        vessel_dict = resource_to_dict(inst)
-        assert isinstance(vessel_dict, dict)
-        assert vessel_dict["id"] == "reactor_01"
-
-        G = _build_test_graph()
-        actions = generate_stir_protocol(G=G, vessel=vessel_dict, time="30")
-
-        assert len(actions) >= 1
-        assert actions[0]["action_name"] == "stir"
-
-    def test_stir_with_string_vessel(self):
-        """兼容旧模式：直接传 vessel 字符串"""
-        from unilabos.compile.stir_protocol import generate_stir_protocol
-
-        G = _build_test_graph()
-        actions = generate_stir_protocol(G=G, vessel="reactor_01", time="30")
-
-        assert len(actions) >= 1
-        assert actions[0]["device_id"] == "stirrer_1"
-        assert actions[0]["action_kwargs"]["vessel"]["id"] == "reactor_01"
-
-
-# ============ 全链路测试：HeatChill 协议 ============
-
-class TestHeatChillProtocolFullChain:
-    """HeatChill 协议全链路"""
-
-    def test_heatchill_with_enriched_resource(self):
-        from unilabos.compile.heatchill_protocol import generate_heat_chill_protocol
-
-        raw_data = [_make_raw_resource(id="reactor_01", klass="virtual_stirrer")]
-        enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
-
-        G = _build_test_graph()
-        actions = generate_heat_chill_protocol(
-            G=G,
-            vessel=enriched_vessel,
-            temp=80.0,
-            time="300",
-        )
-
-        assert isinstance(actions, list)
-        assert len(actions) >= 1
-        action = actions[0]
-        assert action["device_id"] == "heatchill_1"
-        assert action["action_name"] == "heat_chill"
-        assert action["action_kwargs"]["temp"] == 80.0
-
-    def test_heatchill_start_with_enriched_resource(self):
-        from unilabos.compile.heatchill_protocol import generate_heat_chill_start_protocol
-
-        raw_data = [_make_raw_resource(id="reactor_01")]
-        enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
-
-        G = _build_test_graph()
-        actions = generate_heat_chill_start_protocol(
-            G=G,
-            vessel=enriched_vessel,
-            temp=60.0,
-        )
-
-        assert len(actions) >= 1
-        assert actions[0]["action_name"] == "heat_chill_start"
-        assert actions[0]["action_kwargs"]["temp"] == 60.0
-
-    def test_heatchill_stop_with_enriched_resource(self):
-        from unilabos.compile.heatchill_protocol import generate_heat_chill_stop_protocol
-
-        raw_data = [_make_raw_resource(id="reactor_01")]
-        enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
-
-        G = _build_test_graph()
-        actions = generate_heat_chill_stop_protocol(G=G, vessel=enriched_vessel)
-
-        assert len(actions) >= 1
-        assert actions[0]["action_name"] == "heat_chill_stop"
-
-
-# ============ 全链路测试：Add 协议 ============
-
-class TestAddProtocolFullChain:
-    """Add 协议全链路：vessel enrichment + reagent 查找 + 泵传输"""
-
-    def test_add_solid_with_enriched_resource(self):
-        from unilabos.compile.add_protocol import generate_add_protocol
-
-        raw_data = [_make_raw_resource(id="reactor_01")]
-        enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
-
-        G = _build_test_graph()
-        actions = generate_add_protocol(
-            G=G,
-            vessel=enriched_vessel,
-            reagent="NaCl",
-            mass="5 g",
-        )
-
-        assert isinstance(actions, list)
-        assert len(actions) >= 1
-        # 应该包含至少一个 add_solid 或 log_message 动作
-        action_names = [a.get("action_name", "") for a in actions]
-        assert any(name in ["add_solid", "log_message"] for name in action_names)
-
-    def test_add_liquid_with_enriched_resource(self):
-        from unilabos.compile.add_protocol import generate_add_protocol
-
-        raw_data = [_make_raw_resource(id="reactor_01")]
-        enriched_vessel = _simulate_workstation_resource_enrichment(raw_data)
-
-        G = _build_test_graph()
-        actions = generate_add_protocol(
-            G=G,
-            vessel=enriched_vessel,
-            reagent="water",
-            volume="10 mL",
-        )
-
-        assert isinstance(actions, list)
-        assert len(actions) >= 1
-
-
-# ============ 全链路测试：ResourceDictInstance 兼容层 ============
-
-class TestResourceDictInstanceCompatibility:
-    """验证编译器兼容层对 ResourceDictInstance 的处理"""
-
-    def test_get_vessel_from_enriched_dict(self):
-        """get_vessel 对 enriched dict 的处理"""
-        raw_data = [_make_raw_resource(
-            id="reactor_01",
-            data={"temperature": 25.0, "liquid": [{"liquid_type": "water", "volume": 10.0}]},
-        )]
-        enriched = _simulate_workstation_resource_enrichment(raw_data)
-
-        vessel_id, vessel_data = get_vessel(enriched)
-        assert vessel_id == "reactor_01"
-        assert vessel_data["temperature"] == 25.0
-        assert len(vessel_data["liquid"]) == 1
-
-    def test_get_vessel_from_resource_instance(self):
-        """get_vessel 直接对 ResourceDictInstance 的处理"""
-        raw_data = [_make_raw_resource(
-            id="reactor_01",
-            data={"temperature": 25.0},
-        )]
-        tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
-        inst = tree_set.trees[0].root_node
-
-        vessel_id, vessel_data = get_vessel(inst)
-        assert vessel_id == "reactor_01"
-        assert vessel_data["temperature"] == 25.0
-
-    def test_ensure_resource_instance_round_trip(self):
-        """ensure_resource_instance → resource_to_dict 无损往返"""
-        raw_data = [_make_raw_resource(
-            id="reactor_01", uuid="uuid-r01", klass="virtual_stirrer",
-            data={"temp": 25.0},
-        )]
-        enriched = _simulate_workstation_resource_enrichment(raw_data)
-
-        # dict → ResourceDictInstance
-        inst = ensure_resource_instance(enriched)
-        assert isinstance(inst, ResourceDictInstance)
-        assert inst.res_content.id == "reactor_01"
-        assert inst.res_content.uuid == "uuid-r01"
-
-        # ResourceDictInstance → dict
-        d = resource_to_dict(inst)
-        assert isinstance(d, dict)
-        assert d["id"] == "reactor_01"
-        assert d["uuid"] == "uuid-r01"
-        assert d["class"] == "virtual_stirrer"
-
-
-# ============ 全链路测试：带 children 的资源树 ============
-
-class TestResourceTreeWithChildren:
-    """测试带 children 结构的资源树通过编译器的路径"""
-
-    def _make_tree_with_children(self):
-        """构建 StationA -> [Flask1, Flask2] 的资源树"""
-        return [
-            _make_raw_resource(
-                id="StationA", uuid="uuid-station-a",
-                name="StationA", klass="workstation", type_="device",
-            ),
-            _make_raw_resource(
-                id="Flask1", uuid="uuid-flask-1",
-                name="Flask1", klass="", type_="resource",
-                parent="StationA", parent_uuid="uuid-station-a",
-                data={"liquid": [{"liquid_type": "water", "volume": 10.0}]},
-            ),
-            _make_raw_resource(
-                id="Flask2", uuid="uuid-flask-2",
-                name="Flask2", klass="", type_="resource",
-                parent="StationA", parent_uuid="uuid-station-a",
-                data={"liquid": [{"liquid_type": "ethanol", "volume": 5.0}]},
-            ),
-        ]
-
-    def test_enrichment_preserves_children_structure(self):
-        """验证 enrichment 后 children 为嵌套 dict"""
-        raw_data = self._make_tree_with_children()
-        enriched = _simulate_workstation_resource_enrichment(raw_data)
-
-        assert enriched["id"] == "StationA"
-        assert "children" in enriched
-        assert isinstance(enriched["children"], dict)
-        assert "Flask1" in enriched["children"]
-        assert "Flask2" in enriched["children"]
-
-    def test_children_preserve_uuid_and_data(self):
-        """验证 children 中的 uuid 和 data 被正确保留"""
-        raw_data = self._make_tree_with_children()
-        enriched = _simulate_workstation_resource_enrichment(raw_data)
-
-        flask1 = enriched["children"]["Flask1"]
-        assert flask1["uuid"] == "uuid-flask-1"
-        assert flask1["data"]["liquid"][0]["liquid_type"] == "water"
-        assert flask1["data"]["liquid"][0]["volume"] == 10.0
-
-        flask2 = enriched["children"]["Flask2"]
-        assert flask2["uuid"] == "uuid-flask-2"
-        assert flask2["data"]["liquid"][0]["liquid_type"] == "ethanol"
-
-    def test_children_dict_can_be_popped(self):
-        """模拟 batch_transfer_protocol 中 pop children 的操作"""
-        raw_data = self._make_tree_with_children()
-        enriched = _simulate_workstation_resource_enrichment(raw_data)
-
-        # batch_transfer_protocol 中会 pop children
-        children = enriched["children"]
-        popped = children.pop("Flask1")
-        assert popped["id"] == "Flask1"
-        assert "Flask1" not in enriched["children"]
-        assert "Flask2" in enriched["children"]
-
-    def test_children_dict_usable_as_from_repo(self):
-        """模拟 batch_transfer_protocol 中 from_repo 参数"""
-        raw_data = self._make_tree_with_children()
-        enriched = _simulate_workstation_resource_enrichment(raw_data)
-
-        # 模拟编译器接收的 from_repo 格式
-        from_repo = {"StationA": enriched}
-        from_repo_ = list(from_repo.values())[0]
-
-        assert from_repo_["id"] == "StationA"
-        assert "Flask1" in from_repo_["children"]
-        assert from_repo_["children"]["Flask1"]["uuid"] == "uuid-flask-1"
-
-    def test_sequence_resource_enrichment(self):
-        """sequence<Resource> 情况：多个独立资源树"""
-        raw_data1 = [_make_raw_resource(id="R1", uuid="uuid-r1")]
-        raw_data2 = [_make_raw_resource(id="R2", uuid="uuid-r2")]
-
-        tree_set1 = ResourceTreeSet.from_raw_dict_list(raw_data1)
-        tree_set2 = ResourceTreeSet.from_raw_dict_list(raw_data2)
-
-        results = [
-            tree.root_node.get_plr_nested_dict()
-            for ts in [tree_set1, tree_set2]
-            for tree in ts.trees
-        ]
-
-        assert len(results) == 2
-        assert results[0]["id"] == "R1"
-        assert results[1]["id"] == "R2"
-
-
-# ============ 全链路测试：动作列表结构验证 ============
-
-class TestActionListStructure:
-    """验证编译器返回的 action_list 结构符合 workstation 预期"""
-
-    def _validate_action(self, action):
-        """验证单个 action dict 的结构"""
-        if action.get("action_name") == "wait":
-            # wait 伪动作不需要 device_id
-            assert "action_kwargs" in action
-            assert "time" in action["action_kwargs"]
-            return
-
-        if action.get("action_name") == "log_message":
-            # log 伪动作
-            assert "action_kwargs" in action
-            return
-
-        # 正常设备动作
-        assert "device_id" in action, f"action 缺少 device_id: {action}"
-        assert "action_name" in action, f"action 缺少 action_name: {action}"
-        assert "action_kwargs" in action, f"action 缺少 action_kwargs: {action}"
-        assert isinstance(action["action_kwargs"], dict)
-
-    def test_stir_action_list_structure(self):
-        from unilabos.compile.stir_protocol import generate_stir_protocol
-
-        raw_data = [_make_raw_resource(id="reactor_01")]
-        enriched = _simulate_workstation_resource_enrichment(raw_data)
-
-        G = _build_test_graph()
-        actions = generate_stir_protocol(G=G, vessel=enriched, time="60")
-
-        for action in actions:
-            if isinstance(action, list):
-                # 并行动作
-                for sub_action in action:
-                    self._validate_action(sub_action)
-            else:
-                self._validate_action(action)
-
-    def test_heatchill_action_list_structure(self):
-        from unilabos.compile.heatchill_protocol import generate_heat_chill_protocol
-
-        raw_data = [_make_raw_resource(id="reactor_01")]
-        enriched = _simulate_workstation_resource_enrichment(raw_data)
-
-        G = _build_test_graph()
-        actions = generate_heat_chill_protocol(G=G, vessel=enriched, temp=80.0, time="60")
-
-        for action in actions:
-            if isinstance(action, list):
-                for sub_action in action:
-                    self._validate_action(sub_action)
-            else:
-                self._validate_action(action)
-
-    def test_add_action_list_structure(self):
-        from unilabos.compile.add_protocol import generate_add_protocol
-
-        raw_data = [_make_raw_resource(id="reactor_01")]
-        enriched = _simulate_workstation_resource_enrichment(raw_data)
-
-        G = _build_test_graph()
-        actions = generate_add_protocol(G=G, vessel=enriched, reagent="NaCl", mass="5 g")
-
-        for action in actions:
-            if isinstance(action, list):
-                for sub_action in action:
-                    self._validate_action(sub_action)
-            else:
-                self._validate_action(action)
-
-
-# ============ 全链路测试：message_converter 到 enrichment ============
-
-class TestMessageConverterToEnrichment:
-    """模拟从 ROS 消息转换后的 dict 到 enrichment 的完整链路"""
-
-    def test_ros_goal_conversion_simulation(self):
-        """
-        模拟 workstation.py 中的完整流程：
-        1. ROS goal 中的 vessel 字段被 convert_from_ros_msg 转换为浅层 dict
-        2. workstation 用 resource_id 请求 host 获取完整资源数据
-        3. ResourceTreeSet.from_raw_dict_list 构建资源树
-        4. get_plr_nested_dict 生成嵌套 dict 替换 protocol_kwargs[k]
-        """
-        # 步骤1: 模拟 convert_from_ros_msg 的输出（浅层 dict，只有 id 等基本字段）
-        shallow_vessel = {
-            "id": "reactor_01",
-            "uuid": "uuid-reactor-01",
-            "name": "reactor_01",
-            "type": "device",
-            "category": "virtual_stirrer",
-            "children": [],
-            "parent": "",
-            "parent_uuid": "",
-            "config": {},
-            "data": {},
-            "extra": {},
-            "position": {"x": 0.0, "y": 0.0, "z": 0.0},
-        }
-
-        protocol_kwargs = {
-            "vessel": shallow_vessel,
-            "time": "300",
-            "stir_speed": 300.0,
-        }
-
-        # 步骤2: 提取 resource_id
-        resource_id = protocol_kwargs["vessel"]["id"]
-        assert resource_id == "reactor_01"
-
-        # 步骤3: 模拟 host 返回完整数据（带 children）
-        host_response = [
-            _make_raw_resource(
-                id="reactor_01", uuid="uuid-reactor-01",
-                klass="virtual_stirrer", type_="device",
-                data={"temperature": 25.0, "pressure": 1.0},
-                config={"max_temp": 300.0},
-            ),
-        ]
-
-        # 步骤4: enrichment
-        enriched = _simulate_workstation_resource_enrichment(host_response)
-        protocol_kwargs["vessel"] = enriched
-
-        # 验证 enrichment 后的 protocol_kwargs
-        assert protocol_kwargs["vessel"]["id"] == "reactor_01"
-        assert protocol_kwargs["vessel"]["uuid"] == "uuid-reactor-01"
-        assert protocol_kwargs["vessel"]["class"] == "virtual_stirrer"
-        assert protocol_kwargs["vessel"]["data"]["temperature"] == 25.0
-        assert protocol_kwargs["vessel"]["config"]["max_temp"] == 300.0
-
-        # 步骤5: 传给编译器
-        from unilabos.compile.stir_protocol import generate_stir_protocol
-        G = _build_test_graph()
-        actions = generate_stir_protocol(G=G, **protocol_kwargs)
-
-        assert len(actions) >= 1
-        assert actions[0]["device_id"] == "stirrer_1"
-        assert actions[0]["action_name"] == "stir"
-
-    def test_ros_goal_with_children_enrichment(self):
-        """ROS goal → enrichment 带 children 的场景（batch transfer）"""
-        # 模拟 host 返回带 children 的数据
-        host_response = [
-            _make_raw_resource(
-                id="StationA", uuid="uuid-sa", klass="workstation", type_="device",
-                config={"num_items_x": 4, "num_items_y": 2},
-            ),
-            _make_raw_resource(
-                id="Plate1", uuid="uuid-p1", type_="resource",
-                parent="StationA", parent_uuid="uuid-sa",
-                data={"sample": "sample_A"},
-            ),
-            _make_raw_resource(
-                id="Plate2", uuid="uuid-p2", type_="resource",
-                parent="StationA", parent_uuid="uuid-sa",
-                data={"sample": "sample_B"},
-            ),
-        ]
-
-        enriched = _simulate_workstation_resource_enrichment(host_response)
-
-        assert enriched["id"] == "StationA"
-        assert enriched["class"] == "workstation"
-        assert len(enriched["children"]) == 2
-        assert enriched["children"]["Plate1"]["data"]["sample"] == "sample_A"
-        assert enriched["children"]["Plate2"]["uuid"] == "uuid-p2"
-
-        # 模拟 batch_transfer 的 from_repo 格式
-        from_repo = {"StationA": enriched}
-        from_repo_ = list(from_repo.values())[0]
-        assert "Plate1" in from_repo_["children"]
-        assert from_repo_["children"]["Plate1"]["uuid"] == "uuid-p1"
-
-
-# ============ 全链路测试：多协议连续调用 ============
-
-class TestMultiProtocolChain:
-    """模拟连续执行多个协议（如 add → stir → heatchill）"""
-
-    def test_sequential_protocol_execution(self):
-        """模拟典型合成路径：add → stir → heatchill"""
-        from unilabos.compile.stir_protocol import generate_stir_protocol
-        from unilabos.compile.heatchill_protocol import generate_heat_chill_protocol
-        from unilabos.compile.add_protocol import generate_add_protocol
-
-        raw_data = [_make_raw_resource(
-            id="reactor_01", uuid="uuid-reactor-01",
-            klass="virtual_stirrer", type_="device",
-        )]
-        enriched = _simulate_workstation_resource_enrichment(raw_data)
-        G = _build_test_graph()
-
-        # 每次调用用 enriched 的副本，避免编译器修改原数据
-        all_actions = []
-
-        # 步骤1: 添加试剂
-        add_actions = generate_add_protocol(
-            G=G, vessel=copy.deepcopy(enriched),
-            reagent="NaCl", mass="5 g",
-        )
-        all_actions.extend(add_actions)
-
-        # 步骤2: 搅拌
-        stir_actions = generate_stir_protocol(
-            G=G, vessel=copy.deepcopy(enriched),
-            time="60", stir_speed=300.0,
-        )
-        all_actions.extend(stir_actions)
-
-        # 步骤3: 加热
-        heat_actions = generate_heat_chill_protocol(
-            G=G, vessel=copy.deepcopy(enriched),
-            temp=80.0, time="300",
-        )
-        all_actions.extend(heat_actions)
-
-        # 验证总动作列表
-        assert len(all_actions) >= 3
-        # 每个协议至少产生一个核心动作
-        action_names = [a.get("action_name", "") for a in all_actions if isinstance(a, dict)]
-        assert "stir" in action_names
-        assert "heat_chill" in action_names
-
-    def test_enriched_resource_not_mutated(self):
-        """验证编译器不应修改传入的 enriched dict（如果需要修改应 deepcopy）"""
-        from unilabos.compile.stir_protocol import generate_stir_protocol
-
-        raw_data = [_make_raw_resource(id="reactor_01")]
-        enriched = _simulate_workstation_resource_enrichment(raw_data)
-        original_id = enriched["id"]
-        original_uuid = enriched["uuid"]
-
-        G = _build_test_graph()
-        generate_stir_protocol(G=G, vessel=enriched, time="60")
-
-        # 验证 enriched dict 核心字段未被修改
-        assert enriched["id"] == original_id
-        assert enriched["uuid"] == original_uuid

tests/compile/test_pump_separate_full_chain.py

@@ -1,538 +0,0 @@
-"""
-PumpTransfer 和 Separate 全链路测试
-
-构建包含泵/阀门/分液漏斗的完整设备图，
-输出完整的中间数据（最短路径、泵骨架、动作列表等）。
-"""
-
-import copy
-import json
-import pprint
-import pytest
-import networkx as nx
-
-from unilabos.resources.resource_tracker import ResourceTreeSet
-from unilabos.compile.utils.resource_helper import get_resource_id, get_resource_data
-from unilabos.compile.utils.vessel_parser import get_vessel
-
-
-def _make_raw_resource(id, uuid=None, name=None, klass="", type_="device",
-                       parent=None, parent_uuid=None, data=None, config=None, extra=None):
-    return {
-        "id": id,
-        "uuid": uuid or f"uuid-{id}",
-        "name": name or id,
-        "class": klass,
-        "type": type_,
-        "parent": parent,
-        "parent_uuid": parent_uuid or "",
-        "description": "",
-        "config": config or {},
-        "data": data or {},
-        "extra": extra or {},
-        "position": {"x": 0.0, "y": 0.0, "z": 0.0},
-    }
-
-
-def _simulate_enrichment(raw_data_list):
-    tree_set = ResourceTreeSet.from_raw_dict_list(raw_data_list)
-    root = tree_set.trees[0].root_node if tree_set.trees else None
-    return root.get_plr_nested_dict() if root else {}
-
-
-def _build_pump_transfer_graph():
-    """
-    构建带泵/阀门的设备图，用于测试 PumpTransfer:
-
-    flask_water (container)
-        ↓
-    valve_1 (multiway_valve, pump_1 连接)
-        ↓
-    reactor_01 (device)
-
-    同时有: stirrer_1, heatchill_1, separator_1
-    """
-    G = nx.DiGraph()
-
-    # 源容器
-    G.add_node("flask_water", **{
-        "id": "flask_water", "name": "flask_water",
-        "type": "container", "class": "",
-        "data": {"reagent_name": "water", "liquid": [{"liquid_type": "water", "volume": 200.0}]},
-        "config": {"reagent": "water"},
-    })
-
-    # 多通阀
-    G.add_node("valve_1", **{
-        "id": "valve_1", "name": "valve_1",
-        "type": "device", "class": "multiway_valve",
-        "data": {}, "config": {},
-    })
-
-    # 注射泵（连接到阀门）
-    G.add_node("pump_1", **{
-        "id": "pump_1", "name": "pump_1",
-        "type": "device", "class": "virtual_pump",
-        "data": {}, "config": {"max_volume": 25.0},
-    })
-
-    # 目标容器
-    G.add_node("reactor_01", **{
-        "id": "reactor_01", "name": "reactor_01",
-        "type": "device", "class": "virtual_stirrer",
-        "data": {"liquid": [{"liquid_type": "water", "volume": 50.0}]},
-        "config": {},
-    })
-
-    # 搅拌器
-    G.add_node("stirrer_1", **{
-        "id": "stirrer_1", "name": "stirrer_1",
-        "type": "device", "class": "virtual_stirrer",
-        "data": {}, "config": {},
-    })
-
-    # 加热器
-    G.add_node("heatchill_1", **{
-        "id": "heatchill_1", "name": "heatchill_1",
-        "type": "device", "class": "virtual_heatchill",
-        "data": {}, "config": {},
-    })
-
-    # 分离器
-    G.add_node("separator_1", **{
-        "id": "separator_1", "name": "separator_1",
-        "type": "device", "class": "separator_controller",
-        "data": {}, "config": {},
-    })
-
-    # 废液容器
-    G.add_node("waste_workup", **{
-        "id": "waste_workup", "name": "waste_workup",
-        "type": "container", "class": "",
-        "data": {}, "config": {},
-    })
-
-    # 产物收集瓶
-    G.add_node("product_flask", **{
-        "id": "product_flask", "name": "product_flask",
-        "type": "container", "class": "",
-        "data": {}, "config": {},
-    })
-
-    # DCM溶剂瓶
-    G.add_node("flask_dcm", **{
-        "id": "flask_dcm", "name": "flask_dcm",
-        "type": "container", "class": "",
-        "data": {"reagent_name": "dcm", "liquid": [{"liquid_type": "dcm", "volume": 500.0}]},
-        "config": {"reagent": "dcm"},
-    })
-
-    # 边连接 —— flask_water → valve_1 → reactor_01
-    G.add_edge("flask_water", "valve_1", port={"valve_1": "port_1"})
-    G.add_edge("valve_1", "reactor_01", port={"valve_1": "port_2"})
-    # 阀门 → 泵
-    G.add_edge("valve_1", "pump_1")
-    G.add_edge("pump_1", "valve_1")
-    # 搅拌器 ↔ reactor
-    G.add_edge("stirrer_1", "reactor_01")
-    # 加热器 ↔ reactor
-    G.add_edge("heatchill_1", "reactor_01")
-    # 分离器 ↔ reactor
-    G.add_edge("separator_1", "reactor_01")
-    G.add_edge("reactor_01", "separator_1")
-    # DCM → valve → reactor (同一泵路)
-    G.add_edge("flask_dcm", "valve_1", port={"valve_1": "port_3"})
-    # reactor → valve → product/waste
-    G.add_edge("valve_1", "product_flask", port={"valve_1": "port_4"})
-    G.add_edge("valve_1", "waste_workup", port={"valve_1": "port_5"})
-
-    return G
-
-
-def _format_action(action, indent=0):
-    """格式化单个 action 为可读字符串"""
-    prefix = "  " * indent
-    if isinstance(action, list):
-        # 并行动作
-        lines = [f"{prefix}[PARALLEL]"]
-        for sub in action:
-            lines.append(_format_action(sub, indent + 1))
-        return "\n".join(lines)
-
-    name = action.get("action_name", "?")
-    device = action.get("device_id", "")
-    kwargs = action.get("action_kwargs", {})
-    comment = action.get("_comment", "")
-    meta = action.get("_transfer_meta", "")
-
-    parts = [f"{prefix}→ {device}::{name}"]
-    if kwargs:
-        # 精简输出
-        kw_str = ", ".join(f"{k}={v}" for k, v in kwargs.items()
-                           if k not in ("progress_message",))
-        if kw_str:
-            parts.append(f"  kwargs: {{{kw_str}}}")
-    if comment:
-        parts.append(f"  # {comment}")
-    if meta:
-        parts.append(f"  meta: {meta}")
-    return "\n".join(f"{prefix}{p}" if i > 0 else p for i, p in enumerate(parts))
-
-
-def _dump_actions(actions, title=""):
-    """打印完整动作列表"""
-    print(f"\n{'='*70}")
-    print(f"  {title}")
-    print(f"  总动作数: {len(actions)}")
-    print(f"{'='*70}")
-    for i, action in enumerate(actions):
-        print(f"\n  [{i:02d}] {_format_action(action, indent=2)}")
-    print(f"\n{'='*70}\n")
-
-
-# ==================== PumpTransfer 全链路 ====================
-
-class TestPumpTransferFullChain:
-    """PumpTransfer: 包含图路径查找、泵骨架构建、动作序列生成"""
-
-    def test_pump_transfer_basic(self):
-        """基础泵转移：flask_water → valve_1 → reactor_01"""
-        from unilabos.compile.pump_protocol import generate_pump_protocol
-
-        G = _build_pump_transfer_graph()
-
-        # 检查最短路径
-        path = nx.shortest_path(G, "flask_water", "reactor_01")
-        print(f"\n最短路径: {path}")
-        assert "valve_1" in path
-
-        # 调用编译器
-        actions = generate_pump_protocol(
-            G=G,
-            from_vessel_id="flask_water",
-            to_vessel_id="reactor_01",
-            volume=10.0,
-            flowrate=2.5,
-            transfer_flowrate=0.5,
-        )
-
-        _dump_actions(actions, "PumpTransfer: flask_water → reactor_01, 10mL")
-
-        # 验证
-        assert isinstance(actions, list)
-        assert len(actions) > 0
-        # 应该有 set_valve_position 和 set_position 动作
-        flat = [a for a in actions if isinstance(a, dict)]
-        action_names = [a.get("action_name") for a in flat]
-        print(f"动作名称列表: {action_names}")
-        assert "set_valve_position" in action_names
-        assert "set_position" in action_names
-
-    def test_pump_transfer_with_rinsing_enriched_vessel(self):
-        """pump_with_rinsing 接收 enriched vessel dict"""
-        from unilabos.compile.pump_protocol import generate_pump_protocol_with_rinsing
-
-        G = _build_pump_transfer_graph()
-
-        # 模拟 enrichment
-        from_raw = [_make_raw_resource(
-            id="flask_water", klass="", type_="container",
-            data={"reagent_name": "water", "liquid": [{"liquid_type": "water", "volume": 200.0}]},
-        )]
-        to_raw = [_make_raw_resource(
-            id="reactor_01", klass="virtual_stirrer", type_="device",
-        )]
-
-        from_enriched = _simulate_enrichment(from_raw)
-        to_enriched = _simulate_enrichment(to_raw)
-
-        print(f"\nfrom_vessel enriched: {json.dumps(from_enriched, indent=2, ensure_ascii=False)[:300]}...")
-        print(f"to_vessel enriched: {json.dumps(to_enriched, indent=2, ensure_ascii=False)[:300]}...")
-
-        # get_vessel 兼容
-        fid, fdata = get_vessel(from_enriched)
-        tid, tdata = get_vessel(to_enriched)
-        print(f"from_vessel_id={fid}, to_vessel_id={tid}")
-        assert fid == "flask_water"
-        assert tid == "reactor_01"
-
-        actions = generate_pump_protocol_with_rinsing(
-            G=G,
-            from_vessel=from_enriched,
-            to_vessel=to_enriched,
-            volume=15.0,
-            flowrate=2.5,
-            transfer_flowrate=0.5,
-        )
-
-        _dump_actions(actions, "PumpTransferWithRinsing: flask_water → reactor_01, 15mL (enriched)")
-
-        assert isinstance(actions, list)
-        assert len(actions) > 0
-
-    def test_pump_transfer_multi_batch(self):
-        """体积 > max_volume 时自动分批"""
-        from unilabos.compile.pump_protocol import generate_pump_protocol
-
-        G = _build_pump_transfer_graph()
-
-        # pump_1 的 max_volume = 25mL，转 60mL 应该分 3 批
-        actions = generate_pump_protocol(
-            G=G,
-            from_vessel_id="flask_water",
-            to_vessel_id="reactor_01",
-            volume=60.0,
-            flowrate=2.5,
-            transfer_flowrate=0.5,
-        )
-
-        _dump_actions(actions, "PumpTransfer 分批: 60mL (max_volume=25mL, 预期 3 批)")
-
-        assert len(actions) > 0
-        # 应该有多轮 set_position
-        flat = [a for a in actions if isinstance(a, dict)]
-        set_position_count = sum(1 for a in flat if a.get("action_name") == "set_position")
-        print(f"set_position 动作数: {set_position_count}")
-        # 3批 × 2次 (吸液 + 排液) = 6 次 set_position
-        assert set_position_count >= 6
-
-    def test_pump_transfer_no_path(self):
-        """无路径时返回空"""
-        from unilabos.compile.pump_protocol import generate_pump_protocol
-
-        G = _build_pump_transfer_graph()
-        G.add_node("isolated_flask", type="container")
-
-        actions = generate_pump_protocol(
-            G=G,
-            from_vessel_id="isolated_flask",
-            to_vessel_id="reactor_01",
-            volume=10.0,
-        )
-
-        print(f"\n无路径时的动作列表: {actions}")
-        assert actions == []
-
-    def test_pump_backbone_filtering(self):
-        """验证泵骨架过滤逻辑（电磁阀被跳过）"""
-        from unilabos.compile.pump_protocol import generate_pump_protocol
-
-        G = _build_pump_transfer_graph()
-        # 添加电磁阀到路径中
-        G.add_node("solenoid_valve_1", **{
-            "type": "device", "class": "solenoid_valve",
-            "data": {}, "config": {},
-        })
-        # flask_water → solenoid_valve_1 → valve_1 → reactor_01
-        G.remove_edge("flask_water", "valve_1")
-        G.add_edge("flask_water", "solenoid_valve_1")
-        G.add_edge("solenoid_valve_1", "valve_1")
-
-        path = nx.shortest_path(G, "flask_water", "reactor_01")
-        print(f"\n含电磁阀的路径: {path}")
-        assert "solenoid_valve_1" in path
-
-        actions = generate_pump_protocol(
-            G=G,
-            from_vessel_id="flask_water",
-            to_vessel_id="reactor_01",
-            volume=10.0,
-        )
-
-        _dump_actions(actions, "PumpTransfer 含电磁阀: flask_water → solenoid → valve_1 → reactor_01")
-        # 电磁阀应被跳过，泵骨架只有 valve_1
-        assert len(actions) > 0
-
-
-# ==================== Separate 全链路 ====================
-
-class TestSeparateProtocolFullChain:
-    """Separate: 包含 bug 确认和正常路径测试"""
-
-    def test_separate_bug_line_128_fixed(self):
-        """验证 separate_protocol.py:128 的 bug 已修复（不再 crash）"""
-        from unilabos.compile.separate_protocol import generate_separate_protocol
-
-        G = _build_pump_transfer_graph()
-
-        raw_data = [_make_raw_resource(
-            id="reactor_01", klass="virtual_stirrer",
-            data={"liquid": [{"liquid_type": "water", "volume": 100.0}]},
-        )]
-        enriched = _simulate_enrichment(raw_data)
-
-        # 修复前：final_vessel_id, _ = vessel_id 会 crash（字符串解包）
-        # 修复后：final_vessel_id = vessel_id，正常返回 action 列表
-        result = generate_separate_protocol(
-            G=G,
-            vessel=enriched,
-            purpose="extract",
-            product_phase="top",
-            product_vessel="product_flask",
-            waste_vessel="waste_workup",
-            solvent="dcm",
-            volume="100 mL",
-        )
-        assert isinstance(result, list)
-        assert len(result) > 0
-
-    def test_separate_manual_workaround(self):
-        """
-        绕过 line 128 bug，手动测试分离编译器中可以工作的子函数
-        """
-        from unilabos.compile.separate_protocol import (
-            find_separator_device,
-            find_separation_vessel_bottom,
-        )
-        from unilabos.compile.utils.vessel_parser import (
-            find_connected_stirrer,
-            find_solvent_vessel,
-        )
-        from unilabos.compile.utils.unit_parser import parse_volume_input
-        from unilabos.compile.utils.resource_helper import get_resource_liquid_volume as get_vessel_liquid_volume
-
-        G = _build_pump_transfer_graph()
-
-        # 1. get_vessel 解析 enriched dict
-        raw_data = [_make_raw_resource(
-            id="reactor_01", klass="virtual_stirrer",
-            data={"liquid": [{"liquid_type": "water", "volume": 100.0}]},
-        )]
-        enriched = _simulate_enrichment(raw_data)
-        vessel_id, vessel_data = get_vessel(enriched)
-        print(f"\nvessel_id: {vessel_id}")
-        print(f"vessel_data: {vessel_data}")
-        assert vessel_id == "reactor_01"
-        assert vessel_data["liquid"][0]["volume"] == 100.0
-
-        # 2. find_separator_device
-        sep = find_separator_device(G, vessel_id)
-        print(f"分离器设备: {sep}")
-        assert sep == "separator_1"
-
-        # 3. find_connected_stirrer
-        stirrer = find_connected_stirrer(G, vessel_id)
-        print(f"搅拌器设备: {stirrer}")
-        assert stirrer == "stirrer_1"
-
-        # 4. find_solvent_vessel
-        solvent_v = find_solvent_vessel(G, "dcm")
-        print(f"DCM溶剂容器: {solvent_v}")
-        assert solvent_v == "flask_dcm"
-
-        # 5. parse_volume_input
-        vol = parse_volume_input("200 mL")
-        print(f"体积解析: '200 mL' → {vol}")
-        assert vol == 200.0
-
-        vol2 = parse_volume_input("1.5 L")
-        print(f"体积解析: '1.5 L' → {vol2}")
-        assert vol2 == 1500.0
-
-        # 6. get_vessel_liquid_volume
-        liq_vol = get_vessel_liquid_volume(enriched)
-        print(f"液体体积 (enriched dict): {liq_vol}")
-        assert liq_vol == 100.0
-
-        # 7. find_separation_vessel_bottom
-        bottom = find_separation_vessel_bottom(G, vessel_id)
-        print(f"分离容器底部: {bottom}")
-        # 当前图中没有命名匹配的底部容器
-
-    def test_pump_transfer_for_separate_subflow(self):
-        """测试 separate 中调用的 pump 子流程（溶剂添加 → 分液漏斗）"""
-        from unilabos.compile.pump_protocol import generate_pump_protocol_with_rinsing
-
-        G = _build_pump_transfer_graph()
-
-        # 模拟分离前的溶剂添加步骤
-        actions = generate_pump_protocol_with_rinsing(
-            G=G,
-            from_vessel="flask_dcm",
-            to_vessel="reactor_01",
-            volume=100.0,
-            flowrate=2.5,
-            transfer_flowrate=0.5,
-        )
-
-        _dump_actions(actions, "Separate 子流程: flask_dcm → reactor_01, 100mL DCM")
-
-        assert isinstance(actions, list)
-        assert len(actions) > 0
-
-        # 模拟分离后产物转移
-        actions2 = generate_pump_protocol_with_rinsing(
-            G=G,
-            from_vessel="reactor_01",
-            to_vessel="product_flask",
-            volume=50.0,
-            flowrate=2.5,
-            transfer_flowrate=0.5,
-        )
-
-        _dump_actions(actions2, "Separate 子流程: reactor_01 → product_flask, 50mL 产物")
-
-        assert len(actions2) > 0
-
-        # 废液转移
-        actions3 = generate_pump_protocol_with_rinsing(
-            G=G,
-            from_vessel="reactor_01",
-            to_vessel="waste_workup",
-            volume=50.0,
-            flowrate=2.5,
-            transfer_flowrate=0.5,
-        )
-
-        _dump_actions(actions3, "Separate 子流程: reactor_01 → waste_workup, 50mL 废液")
-
-        assert len(actions3) > 0
-
-
-# ==================== 图路径可视化 ====================
-
-class TestGraphPathVisualization:
-    """输出图中关键路径信息"""
-
-    def test_all_shortest_paths(self):
-        """输出所有容器之间的最短路径"""
-        G = _build_pump_transfer_graph()
-
-        containers = [n for n in G.nodes() if G.nodes[n].get("type") == "container"]
-        devices = [n for n in G.nodes() if G.nodes[n].get("type") == "device"]
-
-        print(f"\n{'='*70}")
-        print(f"  设备图概览")
-        print(f"{'='*70}")
-        print(f"  容器节点 ({len(containers)}): {containers}")
-        print(f"  设备节点 ({len(devices)}): {devices}")
-        print(f"  边数: {G.number_of_edges()}")
-        print(f"  边列表:")
-        for u, v, data in G.edges(data=True):
-            port_info = data.get("port", "")
-            print(f"    {u} → {v}  {port_info if port_info else ''}")
-
-        print(f"\n  关键路径:")
-        pairs = [
-            ("flask_water", "reactor_01"),
-            ("flask_dcm", "reactor_01"),
-            ("reactor_01", "product_flask"),
-            ("reactor_01", "waste_workup"),
-            ("flask_water", "product_flask"),
-        ]
-        for src, dst in pairs:
-            try:
-                path = nx.shortest_path(G, src, dst)
-                length = len(path) - 1
-                # 标注路径上的节点类型
-                annotated = []
-                for n in path:
-                    ntype = G.nodes[n].get("type", "?")
-                    nclass = G.nodes[n].get("class", "")
-                    annotated.append(f"{n}({ntype}{'/' + nclass if nclass else ''})")
-                print(f"    {src} → {dst}: 距离={length}")
-                print(f"      路径: {' → '.join(annotated)}")
-            except nx.NetworkXNoPath:
-                print(f"    {src} → {dst}: 无路径!")
-
-        print(f"{'='*70}\n")

tests/compile/test_resource_conversion_path.py

@@ -1,324 +0,0 @@
-"""
-ROS Goal → Resource 转换 → 编译器路径的集成测试
-
-覆盖：
-1. Resource.msg 新字段(uuid, klass, extra)的往返转换
-2. dict → ROS Resource → dict 往返无损
-3. ResourceTreeSet → get_plr_nested_dict 保留 children 结构
-4. resource_helper 兼容 dict / ResourceDictInstance
-5. vessel_parser.get_vessel 兼容 ResourceDictInstance
-"""
-
-import json
-import pytest
-
-# 不依赖 ROS 的测试 —— 直接测试 resource 处理路径
-from unilabos.resources.resource_tracker import (
-    ResourceDict,
-    ResourceDictInstance,
-    ResourceTreeInstance,
-    ResourceTreeSet,
-)
-from unilabos.compile.utils.resource_helper import (
-    ensure_resource_instance,
-    resource_to_dict,
-    get_resource_id,
-    get_resource_data,
-    get_resource_display_info,
-    get_resource_liquid_volume,
-)
-from unilabos.compile.utils.vessel_parser import get_vessel
-
-
-# ============ 构建测试数据 ============
-
-
-def _make_resource_dict(
-    id="reactor_01",
-    uuid="uuid-reactor-01",
-    name="reactor_01",
-    klass="virtual_stirrer",
-    type_="device",
-    parent=None,
-    parent_uuid=None,
-    data=None,
-    config=None,
-    extra=None,
-):
-    return {
-        "id": id,
-        "uuid": uuid,
-        "name": name,
-        "class": klass,
-        "type": type_,
-        "parent": parent,
-        "parent_uuid": parent_uuid or "",
-        "description": "",
-        "config": config or {},
-        "data": data or {},
-        "extra": extra or {},
-        "position": {"x": 1.0, "y": 2.0, "z": 3.0},
-    }
-
-
-def _make_resource_instance(id="reactor_01", **kwargs):
-    d = _make_resource_dict(id=id, **kwargs)
-    return ResourceDictInstance.get_resource_instance_from_dict(d)
-
-
-def _make_tree_with_children():
-    """构建 StationA -> [R1, R2] 的资源树"""
-    raw_data = [
-        _make_resource_dict(
-            id="StationA",
-            uuid="uuid-station-a",
-            name="StationA",
-            klass="workstation",
-            type_="device",
-        ),
-        _make_resource_dict(
-            id="R1",
-            uuid="uuid-r1",
-            name="R1",
-            klass="",
-            type_="resource",
-            parent="StationA",
-            parent_uuid="uuid-station-a",
-            data={"liquid": [{"liquid_type": "water", "volume": 10.0}]},
-        ),
-        _make_resource_dict(
-            id="R2",
-            uuid="uuid-r2",
-            name="R2",
-            klass="",
-            type_="resource",
-            parent="StationA",
-            parent_uuid="uuid-station-a",
-            data={"liquid": [{"liquid_type": "ethanol", "volume": 5.0}]},
-        ),
-    ]
-    tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
-    return tree_set
-
-
-# ============ resource_helper 测试 ============
-
-
-class TestResourceHelper:
-    """测试 resource_helper 对 dict / ResourceDictInstance 的兼容性"""
-
-    def test_ensure_resource_instance_from_dict(self):
-        d = _make_resource_dict()
-        inst = ensure_resource_instance(d)
-        assert isinstance(inst, ResourceDictInstance)
-        assert inst.res_content.id == "reactor_01"
-        assert inst.res_content.uuid == "uuid-reactor-01"
-
-    def test_ensure_resource_instance_passthrough(self):
-        inst = _make_resource_instance()
-        result = ensure_resource_instance(inst)
-        assert result is inst  # 同一个对象，不复制
-
-    def test_ensure_resource_instance_none(self):
-        assert ensure_resource_instance(None) is None
-
-    def test_get_resource_id_from_dict(self):
-        d = _make_resource_dict(id="my_device")
-        assert get_resource_id(d) == "my_device"
-
-    def test_get_resource_id_from_instance(self):
-        inst = _make_resource_instance(id="my_device")
-        assert get_resource_id(inst) == "my_device"
-
-    def test_get_resource_id_from_string(self):
-        assert get_resource_id("my_device") == "my_device"
-
-    def test_get_resource_id_from_wrapped_dict(self):
-        """兼容 {station_id: {...}} 格式"""
-        d = {"StationA": {"id": "StationA", "name": "StationA"}}
-        assert get_resource_id(d) == "StationA"
-
-    def test_get_resource_data_from_dict(self):
-        d = _make_resource_dict(data={"temperature": 25.0})
-        assert get_resource_data(d) == {"temperature": 25.0}
-
-    def test_get_resource_data_from_instance(self):
-        inst = _make_resource_instance(data={"temperature": 25.0})
-        data = get_resource_data(inst)
-        assert data["temperature"] == 25.0
-
-    def test_get_resource_display_info_from_dict(self):
-        d = _make_resource_dict(id="reactor_01", name="Reactor #1")
-        info = get_resource_display_info(d)
-        assert "reactor_01" in info
-        assert "Reactor #1" in info
-
-    def test_get_resource_display_info_from_instance(self):
-        inst = _make_resource_instance(id="reactor_01", name="Reactor #1")
-        info = get_resource_display_info(inst)
-        assert "reactor_01" in info
-
-    def test_get_resource_display_info_from_string(self):
-        assert get_resource_display_info("reactor_01") == "reactor_01"
-
-    def test_get_resource_liquid_volume(self):
-        d = _make_resource_dict(data={"liquid": [{"liquid_type": "water", "volume": 15.5}]})
-        assert get_resource_liquid_volume(d) == pytest.approx(15.5)
-
-    def test_resource_to_dict_from_instance(self):
-        inst = _make_resource_instance(id="reactor_01", klass="virtual_stirrer")
-        d = resource_to_dict(inst)
-        assert isinstance(d, dict)
-        assert d["id"] == "reactor_01"
-        assert d["class"] == "virtual_stirrer"
-
-    def test_resource_to_dict_passthrough(self):
-        d = _make_resource_dict()
-        result = resource_to_dict(d)
-        assert result is d  # 同一个 dict
-
-
-# ============ vessel_parser 兼容性测试 ============
-
-
-class TestVesselParser:
-    """测试 vessel_parser.get_vessel 对 ResourceDictInstance 的兼容"""
-
-    def test_get_vessel_from_dict(self):
-        d = _make_resource_dict(id="reactor_01", data={"temperature": 25.0})
-        vessel_id, vessel_data = get_vessel(d)
-        assert vessel_id == "reactor_01"
-        assert vessel_data["temperature"] == 25.0
-
-    def test_get_vessel_from_string(self):
-        vessel_id, vessel_data = get_vessel("reactor_01")
-        assert vessel_id == "reactor_01"
-        assert vessel_data == {}
-
-    def test_get_vessel_from_resource_instance(self):
-        inst = _make_resource_instance(id="reactor_01", data={"temperature": 25.0})
-        vessel_id, vessel_data = get_vessel(inst)
-        assert vessel_id == "reactor_01"
-        assert vessel_data["temperature"] == 25.0
-
-    def test_get_vessel_from_wrapped_dict(self):
-        """兼容 {station_id: {id: ..., data: {...}}} 格式"""
-        d = {"StationA": {"id": "StationA", "data": {"vol": 100}}}
-        vessel_id, vessel_data = get_vessel(d)
-        assert vessel_id == "StationA"
-
-
-# ============ ResourceTreeSet → get_plr_nested_dict 测试 ============
-
-
-class TestResourceTreeRoundTrip:
-    """测试 ResourceTreeSet → get_plr_nested_dict 保留树结构和关键字段"""
-
-    def test_tree_preserves_children(self):
-        tree_set = _make_tree_with_children()
-        assert len(tree_set.trees) == 1
-        root = tree_set.trees[0].root_node
-        assert root.res_content.id == "StationA"
-        assert len(root.children) == 2
-
-    def test_plr_nested_dict_has_children(self):
-        tree_set = _make_tree_with_children()
-        root = tree_set.trees[0].root_node
-        nested = root.get_plr_nested_dict()
-        assert isinstance(nested, dict)
-        assert "children" in nested
-        assert isinstance(nested["children"], dict)
-        assert "R1" in nested["children"]
-        assert "R2" in nested["children"]
-
-    def test_plr_nested_dict_preserves_uuid(self):
-        tree_set = _make_tree_with_children()
-        root = tree_set.trees[0].root_node
-        nested = root.get_plr_nested_dict()
-        assert nested["uuid"] == "uuid-station-a"
-        assert nested["children"]["R1"]["uuid"] == "uuid-r1"
-
-    def test_plr_nested_dict_preserves_klass(self):
-        tree_set = _make_tree_with_children()
-        root = tree_set.trees[0].root_node
-        nested = root.get_plr_nested_dict()
-        assert nested["class"] == "workstation"
-
-    def test_plr_nested_dict_preserves_data(self):
-        tree_set = _make_tree_with_children()
-        root = tree_set.trees[0].root_node
-        nested = root.get_plr_nested_dict()
-        r1_data = nested["children"]["R1"]["data"]
-        assert "liquid" in r1_data
-        assert r1_data["liquid"][0]["volume"] == 10.0
-
-    def test_plr_nested_dict_usable_by_get_vessel(self):
-        """get_plr_nested_dict 的结果可以直接传给 get_vessel"""
-        tree_set = _make_tree_with_children()
-        root = tree_set.trees[0].root_node
-        nested = root.get_plr_nested_dict()
-        vessel_id, vessel_data = get_vessel(nested)
-        assert vessel_id == "StationA"
-
-    def test_dump_vs_plr_nested_dict(self):
-        """dump() 是扁平化的，get_plr_nested_dict 保留树结构"""
-        tree_set = _make_tree_with_children()
-        # dump 返回扁平列表
-        dumped = tree_set.dump()
-        assert isinstance(dumped[0], list)
-        assert len(dumped[0]) == 3  # StationA + R1 + R2，全部扁平
-
-        # get_plr_nested_dict 保留嵌套
-        root = tree_set.trees[0].root_node
-        nested = root.get_plr_nested_dict()
-        assert isinstance(nested["children"], dict)
-        assert len(nested["children"]) == 2  # 嵌套的 children
-
-
-# ============ 模拟 workstation 路径测试 ============
-
-
-class TestWorkstationPath:
-    """模拟 workstation.py 中的关键路径:
-    raw_data → ResourceTreeSet.from_raw_dict_list → get_plr_nested_dict → compiler
-    """
-
-    def test_single_resource_path(self):
-        """单个 Resource: 取第一棵树的根节点"""
-        raw_data = [
-            _make_resource_dict(id="reactor_01", uuid="uuid-r01", klass="virtual_stirrer"),
-        ]
-        tree_set = ResourceTreeSet.from_raw_dict_list(raw_data)
-        root = tree_set.trees[0].root_node
-        result = root.get_plr_nested_dict()
-        assert result["id"] == "reactor_01"
-        assert result["uuid"] == "uuid-r01"
-        assert result["class"] == "virtual_stirrer"
-
-    def test_resource_with_children_path(self):
-        """Resource 带 children: AGV/batch transfer 场景"""
-        tree_set = _make_tree_with_children()
-        root = tree_set.trees[0].root_node
-        nested = root.get_plr_nested_dict()
-
-        # 模拟编译器接收到的参数
-        from_repo = {"StationA": nested}
-        assert "A01" not in from_repo["StationA"]["children"]  # children 按 id 索引
-        assert "R1" in from_repo["StationA"]["children"]
-        assert from_repo["StationA"]["children"]["R1"]["uuid"] == "uuid-r1"
-
-    def test_multiple_resource_path(self):
-        """多个 Resource: 每棵树取根节点"""
-        raw_data1 = [_make_resource_dict(id="R1", uuid="uuid-r1")]
-        raw_data2 = [_make_resource_dict(id="R2", uuid="uuid-r2")]
-        # 模拟 host 返回多棵树
-        tree_set1 = ResourceTreeSet.from_raw_dict_list(raw_data1)
-        tree_set2 = ResourceTreeSet.from_raw_dict_list(raw_data2)
-        results = [
-            tree.root_node.get_plr_nested_dict()
-            for ts in [tree_set1, tree_set2]
-            for tree in ts.trees
-        ]
-        assert len(results) == 2
-        assert results[0]["id"] == "R1"
-        assert results[1]["id"] == "R2"

tests/devices/test_agv_transport_station.py

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

unilabos/__init__.py

@@ -1 +1 @@
-__version__ = "0.10.19"
+__version__ = "0.11.2"

unilabos/app/main.py

@@ -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"
@@ -553,13 +562,8 @@ def main():
         os._exit(0)
 
     if not BasicConfig.ak or not BasicConfig.sk:
-        if BasicConfig.test_mode:
-            print_status("测试模式：跳过 ak/sk 检查，使用占位凭据", "warning")
-            BasicConfig.ak = BasicConfig.ak or "test_ak"
-            BasicConfig.sk = BasicConfig.sk or "test_sk"
-        else:
-            print_status("后续运行必须拥有一个实验室，请前往 https://uni-lab.bohrium.com 注册实验室！", "warning")
-            os._exit(1)
+        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
     resource_links: List[Dict[str, Any]]
@@ -626,6 +630,8 @@ def main():
             continue
 
     # 如果从远端获取了物料信息，则与本地物料进行同步
+    # 仅在本地文件模式下有意义：本地文件只含设备结构，远端有已保存的物料，需要 merge
+    # 远端模式下 resource_tree_set 与 request_startup_json 来自同一份数据，merge 为空操作
     if file_path is not None and request_startup_json and "nodes" in request_startup_json:
         print_status("开始同步远端物料到本地...", "info")
         remote_tree_set = ResourceTreeSet.from_raw_dict_list(request_startup_json["nodes"])

unilabos/app/model.py

@@ -59,6 +59,7 @@ class JobAddReq(BaseModel):
     task_id: str = Field(examples=["task_id"], description="task uuid (auto-generated if empty)", default="")
     job_id: str = Field(examples=["job_id"], description="goal uuid (auto-generated if empty)", default="")
     node_id: str = Field(examples=["node_id"], description="node uuid", default="")
+    notebook_id: str = Field(examples=["notebook_id"], description="notebook uuid", default="")
     server_info: dict = Field(
         examples=[{"send_timestamp": 1717000000.0}],
         description="server info (auto-generated if empty)",

unilabos/app/utils.py

@@ -10,29 +10,170 @@ import shutil
 import sys
 
 
+_PATCH_MARKER = "# UniLabOS DLL Patch"
+_PATCH_END_MARKER = "# End UniLabOS DLL Patch"
+
+# 75 = EX_TEMPFAIL: 临时失败、重试即可，避免与业务退出码冲突
+_RESTART_EXIT_CODE = 75
+
+
+def _build_dll_patch(lib_bin: str, preload_pyd: str = "") -> str:
+    """生成一段加在目标文件顶部的 DLL 加载补丁源码。
+
+    - 始终把 ``lib_bin`` 加入 DLL 搜索路径，并把 handle 挂在模块属性上，
+      防止 GC 清掉搜索路径（``os.add_dll_directory`` 的句柄被回收时
+      目录会被移除）。
+    - 可选地用 ``ctypes.CDLL`` 预加载一个 .pyd，把它的依赖 DLL 提前装入
+      进程内存，作为 ``rclpy._rclpy_pybind11`` 这类首次加载点的兜底。
+    """
+    # 用 repr() 序列化路径：Python 解析 repr 的结果会还原成原始字符串，
+    # 不需要也不能再叠加 raw-string 前缀（叠了反而会让 \\ 变成两个反斜杠）。
+    lines = [
+        _PATCH_MARKER,
+        "import os as _ulab_os",
+        f"_ulab_p = {lib_bin!r}",
+        'if hasattr(_ulab_os, "add_dll_directory") and _ulab_os.path.isdir(_ulab_p):',
+        "    try: _UNILAB_DLL_HANDLE = _ulab_os.add_dll_directory(_ulab_p)",
+        "    except Exception: _UNILAB_DLL_HANDLE = None",
+    ]
+    if preload_pyd:
+        lines.extend(
+            [
+                "import ctypes as _ulab_ctypes",
+                f"try: _ulab_ctypes.CDLL({preload_pyd!r})",
+                "except Exception: pass",
+            ]
+        )
+    lines.append(_PATCH_END_MARKER)
+    return "\n".join(lines) + "\n"
+
+
+def _apply_dll_patch(file_path: str, lib_bin: str, preload_pyd: str = "") -> bool:
+    """把 DLL 补丁前置到 ``file_path``。文件不存在或已打过补丁则返回 False。"""
+    if not os.path.isfile(file_path):
+        return False
+    with open(file_path, "r", encoding="utf-8") as f:
+        content = f.read()
+    if _PATCH_MARKER in content:
+        return False
+    shutil.copy2(file_path, file_path + ".bak")
+    with open(file_path, "w", encoding="utf-8") as f:
+        f.write(_build_dll_patch(lib_bin, preload_pyd) + content)
+    return True
+
+
+def _print_restart_banner(patched_files):
+    """打印重启提示并以 EX_TEMPFAIL 退出。
+
+    - 不使用 ANSI 颜色码：Windows 旧版 cmd / PowerShell 5 默认不开 VT 处理，
+      会把 ``\\033[1;33m`` 当做字面字符显示，反而让用户看不到正文。
+    - 同时写入 stderr 与 stdout：某些上层 launcher / supervisor 只重定向
+      其中一路，写两遍能保证用户至少看到一份。
+    - 写入前防御性把流切到 UTF-8 with replace：``main.py`` 里已经做过一次，
+      但本模块也可能被绕过 ``main.py`` 的代码路径直接 import；reconfigure
+      失败也只是退回 errors=replace，不影响整体流程。
+    """
+    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
+
+    bar = "#" * 78
+    files_lines = [f"[UniLabOS]   - {p}" for p in patched_files]
+    body = "\n".join(
+        [
+            "",
+            bar,
+            bar,
+            "##",
+            "##  [UniLabOS] Windows + conda 下检测到 DLL 加载失败，已自动打补丁。",
+            "##  [UniLabOS] DLL load failure detected on Windows + conda;",
+            "##  [UniLabOS] the following files have been auto-patched:",
+            "##",
+            *[f"##  {line}" for line in files_lines],
+            "##",
+            "##  [UniLabOS] 当前进程的 rclpy 状态已损坏，补丁需要在新进程才生效。",
+            "##  [UniLabOS] The current process is unusable; the patch only takes",
+            "##  [UniLabOS] effect on a fresh process.",
+            "##",
+            "##  >>> 请重新运行刚才的命令 / Please re-run the same command. <<<",
+            "##",
+            bar,
+            bar,
+            "",
+        ]
+    )
+
+    for stream in (sys.stderr, sys.stdout):
+        try:
+            stream.write(body)
+            stream.flush()
+        except Exception:
+            try:
+                print(body, file=stream)
+            except Exception:
+                pass
+
+    sys.exit(_RESTART_EXIT_CODE)
+
+
 def patch_rclpy_dll_windows():
-    """在 Windows + conda 环境下为 rclpy 打 DLL 加载补丁"""
+    """在 Windows + conda 环境下修复 rclpy / rosidl typesupport 的 DLL 加载。
+
+    背景：conda 安装的 ros 系列包，其原生扩展依赖 ``$CONDA_PREFIX/Library/bin``
+    下的 DLL；只有 conda 环境被正确激活、且 PATH 中含 ``Library/bin`` 时，
+    ``os.add_dll_directory`` 才能找到它们。当从快捷方式 / IDE / 子进程 /
+    没激活的 shell 启动 ``unilab`` 时，会出现 ``DLL load failed``。
+
+    本函数会:
+        1) 修补 ``rclpy/impl/implementation_singleton.py`` —— rclpy 自身的 C 扩展入口；
+        2) 修补 ``rpyutils/add_dll_directories.py`` —— 所有 ``*_s__rosidl_typesupport_c.pyd``
+           （``geometry_msgs`` / ``std_msgs`` / ``sensor_msgs`` 等）的统一加载入口。
+
+    打完补丁后**必须重启进程**才能生效（当前进程的 rclpy 已经发生过
+    ``ImportError``，子模块仍处于损坏状态）。因此函数会主动退出，并在
+    stdout/stderr 同时打印明显的重启提示，避免用户被后续报错淹没。
+    """
     if sys.platform != "win32" or not os.environ.get("CONDA_PREFIX"):
         return
+
     try:
-        import rclpy
+        import rclpy  # noqa: F401
 
         return
     except ImportError as e:
         if not str(e).startswith("DLL load failed"):
             return
+
     cp = os.environ["CONDA_PREFIX"]
-    impl = os.path.join(cp, "Lib", "site-packages", "rclpy", "impl", "implementation_singleton.py")
-    pyd = glob.glob(os.path.join(cp, "Lib", "site-packages", "rclpy", "_rclpy_pybind11*.pyd"))
-    if not os.path.exists(impl) or not pyd:
+    lib_bin = os.path.join(cp, "Library", "bin")
+    site_packages = os.path.join(cp, "Lib", "site-packages")
+    if not os.path.isdir(lib_bin):
         return
-    with open(impl, "r", encoding="utf-8") as f:
-        content = f.read()
-    lib_bin = os.path.join(cp, "Library", "bin").replace("\\", "/")
-    patch = f'# UniLabOS DLL Patch\nimport os,ctypes\nos.add_dll_directory("{lib_bin}") if hasattr(os,"add_dll_directory") else None\ntry: ctypes.CDLL("{pyd[0].replace(chr(92),"/")}")\nexcept: pass\n# End Patch\n'
-    shutil.copy2(impl, impl + ".bak")
-    with open(impl, "w", encoding="utf-8") as f:
-        f.write(patch + content)
+
+    patched = []
+
+    # 1) rclpy 自身的入口
+    rclpy_impl = os.path.join(site_packages, "rclpy", "impl", "implementation_singleton.py")
+    rclpy_pyd_matches = glob.glob(os.path.join(site_packages, "rclpy", "_rclpy_pybind11*.pyd"))
+    rclpy_pyd = rclpy_pyd_matches[0] if rclpy_pyd_matches else ""
+    if rclpy_pyd and _apply_dll_patch(rclpy_impl, lib_bin, preload_pyd=rclpy_pyd):
+        patched.append(rclpy_impl)
+
+    # 2) rpyutils —— 所有 rosidl typesupport pyd 的加载点；放在 rclpy 之后
+    #    例：geometry_msgs/geometry_msgs_s__rosidl_typesupport_c.pyd
+    rpyutils_dll = os.path.join(site_packages, "rpyutils", "add_dll_directories.py")
+    if _apply_dll_patch(rpyutils_dll, lib_bin):
+        patched.append(rpyutils_dll)
+
+    if not patched:
+        # 已经打过补丁但 rclpy 仍然加载失败：原因不是缺 DLL 搜索路径，
+        # 不要再次打补丁污染文件，让上层看到真实的 ImportError。
+        return
+
+    _print_restart_banner(patched)
 
 
 patch_rclpy_dll_windows()

unilabos/app/web/client.py

@@ -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} 到 {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}"},

unilabos/app/web/controller.py

@@ -320,6 +320,7 @@ def job_add(req: JobAddReq) -> JobData:
             action_name=action_name,
             task_id=task_id,
             job_id=job_id,
+            notebook_id=req.notebook_id,
             device_action_key=device_action_key,
         )
 

unilabos/app/ws_client.py

@@ -59,6 +59,7 @@ class QueueItem:
     action_name: str
     task_id: str
     job_id: str
+    notebook_id: str
     device_action_key: str
     next_run_time: float = 0  # 下次执行时间戳
     retry_count: int = 0  # 重试次数
@@ -71,6 +72,7 @@ class JobInfo:
     job_id: str
     task_id: str
     device_id: str
+    notebook_id: str
     action_name: str
     device_action_key: str
     status: JobStatus
@@ -539,7 +541,10 @@ class MessageProcessor:
                 self.reconnect_count += 1
                 backoff = WSConfig.reconnect_interval
                 logger.info(
-                    f"[MessageProcessor] 即将在 {backoff} 秒后重连 (已尝试 {self.reconnect_count}/{WSConfig.max_reconnect_attempts})"
+                    "[MessageProcessor] 即将在 %s 秒后重连 (已尝试 %s/%s)",
+                    backoff,
+                    self.reconnect_count,
+                    WSConfig.max_reconnect_attempts,
                 )
                 await asyncio.sleep(backoff)
             else:
@@ -703,6 +708,7 @@ class MessageProcessor:
         action_name = data.get("action_name", "")
         task_id = data.get("task_id", "")
         job_id = data.get("job_id", "")
+        notebook_id = data.get("notebook_id", "")
 
         if not all([device_id, action_name, task_id, job_id]):
             logger.error("[MessageProcessor] Missing required fields in query_action_state")
@@ -718,6 +724,7 @@ class MessageProcessor:
             job_id=job_id,
             task_id=task_id,
             device_id=device_id,
+            notebook_id=notebook_id,
             action_name=action_name,
             device_action_key=device_action_key,
             status=JobStatus.QUEUE,
@@ -732,13 +739,27 @@ class MessageProcessor:
         if can_start_immediately:
             # 可以立即开始
             await self._send_action_state_response(
-                device_id, action_name, task_id, job_id, "query_action_status", True, 0
+                device_id,
+                action_name,
+                task_id,
+                job_id,
+                "query_action_status",
+                True,
+                0,
+                notebook_id=notebook_id,
             )
             logger.trace(f"[MessageProcessor] Job {job_log} can start immediately")
         else:
             # 需要排队
             await self._send_action_state_response(
-                device_id, action_name, task_id, job_id, "query_action_status", False, 10
+                device_id,
+                action_name,
+                task_id,
+                job_id,
+                "query_action_status",
+                False,
+                10,
+                notebook_id=notebook_id,
             )
             logger.trace(f"[MessageProcessor] Job {job_log} queued")
 
@@ -768,6 +789,7 @@ class MessageProcessor:
                         job_id=req.job_id,
                         task_id=req.task_id,
                         device_id=req.device_id,
+                        notebook_id=req.notebook_id,
                         action_name=action_name,
                         device_action_key=device_action_key,
                         status=JobStatus.QUEUE,
@@ -775,11 +797,16 @@ class MessageProcessor:
                         always_free=True,
                     )
                     self.device_manager.add_queue_request(job_info)
+                    existing_job = job_info
                     logger.info(f"[MessageProcessor] Job {job_log} always_free, auto-registered from direct job_start")
                 else:
                     logger.error(f"[MessageProcessor] Job {job_log} not registered (missing query_action_state)")
                     return
 
+            if existing_job and req.notebook_id and not existing_job.notebook_id:
+                existing_job.notebook_id = req.notebook_id
+            notebook_id = req.notebook_id or (existing_job.notebook_id if existing_job else "")
+
             success = self.device_manager.start_job(req.job_id)
             if not success:
                 logger.error(f"[MessageProcessor] Failed to start job {job_log}")
@@ -795,6 +822,7 @@ class MessageProcessor:
                 action_name=req.action,
                 task_id=req.task_id,
                 job_id=req.job_id,
+                notebook_id=notebook_id,
                 device_action_key=device_action_key,
             )
 
@@ -834,6 +862,7 @@ class MessageProcessor:
                             "job_id": req.job_id,
                             "task_id": req.task_id,
                             "device_id": req.device_id,
+                            "notebook_id": queue_item.notebook_id,
                             "action_name": req.action,
                             "status": "failed",
                             "feedback_data": {},
@@ -855,6 +884,7 @@ class MessageProcessor:
                             "query_action_status",
                             True,
                             0,
+                            notebook_id=next_job.notebook_id,
                         )
                         next_job_log = format_job_log(
                             next_job.job_id, next_job.task_id, next_job.device_id, next_job.action_name
@@ -1101,7 +1131,15 @@ class MessageProcessor:
         logger.info(f"[MessageProcessor] Restart cleanup scheduled")
 
     async def _send_action_state_response(
-        self, device_id: str, action_name: str, task_id: str, job_id: str, typ: str, free: bool, need_more: int
+        self,
+        device_id: str,
+        action_name: str,
+        task_id: str,
+        job_id: str,
+        typ: str,
+        free: bool,
+        need_more: int,
+        notebook_id: str = "",
     ):
         """发送动作状态响应"""
         message = {
@@ -1112,8 +1150,9 @@ class MessageProcessor:
                 "action_name": action_name,
                 "task_id": task_id,
                 "job_id": job_id,
+                "notebook_id": notebook_id,
                 "free": free,
-                "need_more": need_more,
+                "need_more": need_more + 1,
             },
         }
 
@@ -1194,6 +1233,7 @@ class QueueProcessor:
                             action_name=timeout_job.action_name,
                             task_id=timeout_job.task_id,
                             job_id=timeout_job.job_id,
+                            notebook_id=timeout_job.notebook_id,
                             device_action_key=timeout_job.device_action_key,
                         )
                         # 发布超时失败状态，这会触发正常的job完成流程
@@ -1252,8 +1292,9 @@ class QueueProcessor:
                     "action_name": job_info.action_name,
                     "task_id": job_info.task_id,
                     "job_id": job_info.job_id,
+                    "notebook_id": job_info.notebook_id,
                     "free": False,
-                    "need_more": 10,
+                    "need_more": 10 + 1,
                 },
             }
             self.message_processor.send_message(message)
@@ -1269,7 +1310,13 @@ 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，
@@ -1285,8 +1332,9 @@ class QueueProcessor:
                     "action_name": job_info.action_name,
                     "task_id": job_info.task_id,
                     "job_id": job_info.job_id,
+                    "notebook_id": job_info.notebook_id,
                     "free": False,
-                    "need_more": 10,
+                    "need_more": 10 + 1,
                 },
             }
             success = self.message_processor.send_message(message)
@@ -1330,12 +1378,15 @@ class QueueProcessor:
                     "action_name": next_job.action_name,
                     "task_id": next_job.task_id,
                     "job_id": next_job.job_id,
+                    "notebook_id": next_job.notebook_id,
                     "free": True,
                     "need_more": 0,
                 },
             }
             self.message_processor.send_message(message)
-            # next_job_log = format_job_log(next_job.job_id, next_job.task_id, next_job.device_id, next_job.action_name)
+            # next_job_log = format_job_log(
+            #     next_job.job_id, next_job.task_id, next_job.device_id, next_job.action_name
+            # )
             # logger.debug(f"[QueueProcessor] Notified next job {next_job_log} can start")
 
             # 立即触发下一轮状态检查
@@ -1369,6 +1420,10 @@ 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)
@@ -1468,28 +1523,39 @@ 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": {
                 "job_id": item.job_id,
                 "task_id": item.task_id,
                 "device_id": item.device_id,
+                "notebook_id": item.notebook_id,
                 "action_name": item.action_name,
                 "status": status,
                 "feedback_data": feedback_data,
@@ -1499,7 +1565,6 @@ 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:

unilabos/compile/__init__.py

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

unilabos/compile/_agv_utils.py

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

unilabos/compile/add_protocol.py

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

unilabos/compile/adjustph_protocol.py

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

unilabos/compile/agv_transfer_protocol.py

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

unilabos/compile/batch_transfer_protocol.py

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

unilabos/compile/clean_vessel_protocol.py

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

unilabos/compile/dissolve_protocol.py

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

unilabos/compile/dry_protocol.py

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

unilabos/compile/evacuateandrefill_protocol.py

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

unilabos/compile/evacuateandrefill_protocol_old.py

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

unilabos/compile/evaporate_protocol.py

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

unilabos/compile/filter_protocol.py

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

unilabos/compile/heatchill_protocol.py

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

unilabos/compile/hydrogenate_protocol.py

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

unilabos/compile/pump_protocol.py

@@ -2,18 +2,99 @@ import traceback
 import numpy as np
 import networkx as nx
 import asyncio
-import time as time_module  # 重命名time模块
+import time as time_module  # 🔧 重命名time模块
 from typing import List, Dict, Any
 import logging
 import sys
 
-from .utils.logger_util import debug_print
-from .utils.vessel_parser import get_vessel
-from .utils.resource_helper import get_resource_liquid_volume
+from unilabos.compile.utils.vessel_parser import get_vessel
 
 logger = logging.getLogger(__name__)
 
 
+def debug_print(message):
+    """强制输出调试信息"""
+    output = f"[TRANSFER] {message}"
+    logger.info(output)
+
+
+def get_vessel_liquid_volume(G: nx.DiGraph, vessel: str) -> float:
+    """
+    从容器节点的数据中获取液体体积
+    """
+    debug_print(f"🔍 开始读取容器 '{vessel}' 的液体体积...")
+
+    if vessel not in G.nodes():
+        logger.error(f"❌ 容器 '{vessel}' 不存在于系统图中")
+        debug_print(f"  - 系统中的容器: {list(G.nodes())}")
+        return 0.0
+
+    vessel_data = G.nodes[vessel].get('data', {})
+    debug_print(f"📋 容器 '{vessel}' 的数据结构: {vessel_data}")
+
+    total_volume = 0.0
+
+    # 方法1：检查 'liquid' 字段（列表格式）
+    debug_print("🔍 方法1: 检查 'liquid' 字段...")
+    if 'liquid' in vessel_data:
+        liquids = vessel_data['liquid']
+        debug_print(f"  - liquid 字段类型: {type(liquids)}")
+        debug_print(f"  - liquid 字段内容: {liquids}")
+
+        if isinstance(liquids, list):
+            debug_print(f"  - liquid 是列表，包含 {len(liquids)} 个元素")
+            for i, liquid in enumerate(liquids):
+                debug_print(f"    液体 {i + 1}: {liquid}")
+                if isinstance(liquid, dict):
+                    volume_keys = ['liquid_volume', 'volume', 'amount', 'quantity']
+                    for key in volume_keys:
+                        if key in liquid:
+                            try:
+                                vol = float(liquid[key])
+                                total_volume += vol
+                                debug_print(f"    ✅ 从 '{key}' 读取体积: {vol}mL")
+                                break
+                            except (ValueError, TypeError) as e:
+                                logger.warning(f"    ⚠️ 无法转换 '{key}': {liquid[key]} -> {str(e)}")
+                                continue
+        else:
+            debug_print(f"  - liquid 不是列表: {type(liquids)}")
+    else:
+        debug_print("  - 没有 'liquid' 字段")
+
+    # 方法2：检查直接的体积字段
+    debug_print("🔍 方法2: 检查直接体积字段...")
+    volume_keys = ['total_volume', 'volume', 'liquid_volume', 'amount', 'current_volume']
+    for key in volume_keys:
+        if key in vessel_data:
+            try:
+                vol = float(vessel_data[key])
+                total_volume = max(total_volume, vol)  # 取最大值
+                debug_print(f"  ✅ 从容器数据 '{key}' 读取体积: {vol}mL")
+                break
+            except (ValueError, TypeError) as e:
+                logger.warning(f"  ⚠️ 无法转换 '{key}': {vessel_data[key]} -> {str(e)}")
+                continue
+
+    # 方法3：检查 'state' 或 'status' 字段
+    debug_print("🔍 方法3: 检查 'state' 字段...")
+    if 'state' in vessel_data and isinstance(vessel_data['state'], dict):
+        state = vessel_data['state']
+        debug_print(f"  - state 字段内容: {state}")
+        if 'volume' in state:
+            try:
+                vol = float(state['volume'])
+                total_volume = max(total_volume, vol)
+                debug_print(f"  ✅ 从容器状态读取体积: {vol}mL")
+            except (ValueError, TypeError) as e:
+                logger.warning(f"  ⚠️ 无法转换 state.volume: {state['volume']} -> {str(e)}")
+    else:
+        debug_print("  - 没有 'state' 字段或不是字典")
+
+    debug_print(f"📊 容器 '{vessel}' 最终检测体积: {total_volume}mL")
+    return total_volume
+
+
 def is_integrated_pump(node_class: str, node_name: str = "") -> bool:
     """
     判断是否为泵阀一体设备
@@ -41,77 +122,108 @@ def is_integrated_pump(node_class: str, node_name: str = "") -> bool:
 
 def find_connected_pump(G, valve_node):
     """
-    查找与阀门相连的泵节点
-    区分电磁阀和多通阀，电磁阀不参与泵查找
+    查找与阀门相连的泵节点 - 修复版本
+    🔧 修复：区分电磁阀和多通阀，电磁阀不参与泵查找
     """
-    # 检查节点类型，电磁阀不应该查找泵
+    debug_print(f"🔍 查找与阀门 {valve_node} 相连的泵...")
+
+    # 🔧 关键修复：检查节点类型，电磁阀不应该查找泵
     node_data = G.nodes.get(valve_node, {})
     node_class = node_data.get("class", "") or ""
 
+    debug_print(f"  - 阀门类型: {node_class}")
+
     # 如果是电磁阀，不应该查找泵（电磁阀只是开关）
     if ("solenoid" in node_class.lower() or "solenoid_valve" in valve_node.lower()):
+        debug_print(f"  ⚠️ {valve_node} 是电磁阀，不应该查找泵节点")
         raise ValueError(f"电磁阀 {valve_node} 不应该参与泵查找逻辑")
 
     # 只有多通阀等复杂阀门才需要查找连接的泵
     if ("multiway" in node_class.lower() or "valve" in node_class.lower()):
+        debug_print(f"  - {valve_node} 是多通阀，查找连接的泵...")
         # 方法1：直接相邻的泵
         for neighbor in G.neighbors(valve_node):
             neighbor_class = G.nodes[neighbor].get("class", "") or ""
+            # 排除非 电磁阀 和 泵 的邻居
+            debug_print(f"    - 检查邻居 {neighbor}, class: {neighbor_class}")
             if "pump" in neighbor_class.lower():
+                debug_print(f"    ✅ 找到直接相连的泵: {neighbor}")
                 return neighbor
 
         # 方法2：通过路径查找泵（最多2跳）
-        pump_nodes = [
-            node_id for node_id in G.nodes()
-            if "pump" in (G.nodes[node_id].get("class", "") or "").lower()
-        ]
+        debug_print(f"    - 未找到直接相连的泵，尝试路径查找...")
 
+        # 获取所有泵节点
+        pump_nodes = []
+        for node_id in G.nodes():
+            node_class = G.nodes[node_id].get("class", "") or ""
+            if "pump" in node_class.lower():
+                pump_nodes.append(node_id)
+
+        debug_print(f"    - 系统中的泵节点: {pump_nodes}")
+
+        # 查找到泵的最短路径
         for pump_node in pump_nodes:
             try:
                 if nx.has_path(G, valve_node, pump_node):
                     path = nx.shortest_path(G, valve_node, pump_node)
-                    if len(path) - 1 <= 2:  # 最多允许2跳
+                    path_length = len(path) - 1
+                    debug_print(f"    - 到泵 {pump_node} 的路径: {path}, 距离: {path_length}")
+
+                    if path_length <= 2:  # 最多允许2跳
+                        debug_print(f"    ✅ 通过路径找到泵: {pump_node}")
                         return pump_node
             except nx.NetworkXNoPath:
                 continue
 
+    # 最终失败
+    debug_print(f"  ❌ 完全找不到泵节点")
     raise ValueError(f"未找到与阀 {valve_node} 相连的泵节点")
 
 
 def build_pump_valve_maps(G, pump_backbone):
     """
-    构建泵-阀门映射
-    过滤掉电磁阀，只处理需要泵的多通阀
+    构建泵-阀门映射 - 修复版本
+    🔧 修复：过滤掉电磁阀，只处理需要泵的多通阀
     """
     pumps_from_node = {}
     valve_from_node = {}
 
-    # 过滤掉电磁阀
+    debug_print(f"🔧 构建泵-阀门映射，原始骨架: {pump_backbone}")
+
+    # 🔧 关键修复：过滤掉电磁阀
     filtered_backbone = []
     for node in pump_backbone:
         node_data = G.nodes.get(node, {})
         node_class = node_data.get("class", "") or ""
 
+        # 跳过电磁阀
         if ("solenoid" in node_class.lower() or "solenoid_valve" in node.lower()):
+            debug_print(f"  - 跳过电磁阀: {node}")
             continue
 
         filtered_backbone.append(node)
 
+    debug_print(f"🔧 过滤后的骨架: {filtered_backbone}")
+
     for node in filtered_backbone:
         node_data = G.nodes.get(node, {})
         node_class = node_data.get("class", "") or ""
         if is_integrated_pump(node_class, node):
             pumps_from_node[node] = node
             valve_from_node[node] = node
+            debug_print(f"  - 集成泵-阀: {node}")
         else:
             try:
                 pump_node = find_connected_pump(G, node)
                 pumps_from_node[node] = pump_node
                 valve_from_node[node] = node
-            except ValueError:
+                debug_print(f"  - 阀门 {node} -> 泵 {pump_node}")
+            except ValueError as e:
+                debug_print(f"  - 跳过节点 {node}: {str(e)}")
                 continue
 
-    debug_print(f"泵-阀映射: pumps={pumps_from_node}, valves={valve_from_node}")
+    debug_print(f"🔧 最终映射: pumps={pumps_from_node}, valves={valve_from_node}")
     return pumps_from_node, valve_from_node
 
 
@@ -124,8 +236,8 @@ def generate_pump_protocol(
         transfer_flowrate: float = 0.5,
 ) -> List[Dict[str, Any]]:
     """
-    生成泵操作的动作序列
-    正确处理包含电磁阀的路径
+    生成泵操作的动作序列 - 修复版本
+    🔧 修复：正确处理包含电磁阀的路径
     """
     pump_action_sequence = []
     nodes = G.nodes(data=True)
@@ -144,6 +256,7 @@ def generate_pump_protocol(
         logger.warning(f"transfer_flowrate <= 0，使用默认值 {transfer_flowrate}mL/s")
 
     # 验证容器存在
+    debug_print(f"🔍 验证源容器 '{from_vessel_id}' 和目标容器 '{to_vessel_id}' 是否存在...")
     if from_vessel_id not in G.nodes():
         logger.error(f"源容器 '{from_vessel_id}' 不存在")
         return pump_action_sequence
@@ -159,24 +272,28 @@ def generate_pump_protocol(
         logger.error(f"无法找到从 '{from_vessel_id}' 到 '{to_vessel_id}' 的路径")
         return pump_action_sequence
 
-    # 正确构建泵骨架，排除容器和电磁阀
+    # 🔧 关键修复：正确构建泵骨架，排除容器和电磁阀
     pump_backbone = []
     for node in shortest_path:
+        # 跳过起始和结束容器
         if node == from_vessel_id or node == to_vessel_id:
             continue
 
+        # 跳过电磁阀（电磁阀不参与泵操作）
         node_data = G.nodes.get(node, {})
         node_class = node_data.get("class", "") or ""
         if ("solenoid" in node_class.lower() or "solenoid_valve" in node.lower()):
+            debug_print(f"PUMP_TRANSFER: 跳过电磁阀 {node}")
             continue
 
+        # 只包含多通阀和泵
         if ("multiway" in node_class.lower() or "valve" in node_class.lower() or "pump" in node_class.lower()):
             pump_backbone.append(node)
 
-    debug_print(f"PUMP_TRANSFER: 泵骨架: {pump_backbone}")
+    debug_print(f"PUMP_TRANSFER: 过滤后的泵骨架: {pump_backbone}")
 
     if not pump_backbone:
-        debug_print("PUMP_TRANSFER: 没有泵骨架节点")
+        debug_print("PUMP_TRANSFER: 没有泵骨架节点，可能是直接容器连接或只有电磁阀")
         return pump_action_sequence
 
     if transfer_flowrate == 0:
@@ -192,7 +309,7 @@ def generate_pump_protocol(
         debug_print("PUMP_TRANSFER: 没有可用的泵映射")
         return pump_action_sequence
 
-    # 安全地获取最小转移体积
+    # 🔧 修复：安全地获取最小转移体积
     try:
         min_transfer_volumes = []
         for node in pump_backbone:
@@ -222,19 +339,19 @@ def generate_pump_protocol(
     volume_left = volume
     debug_print(f"PUMP_TRANSFER: 需要 {repeats} 次转移，单次最大体积 {min_transfer_volume} mL")
 
-    # 只在开头打印总体概览
+    # 🆕 只在开头打印总体概览
     if repeats > 1:
-        debug_print(f"分批转移: 总体积 {volume:.2f}mL, {repeats} 次, 单次最大 {min_transfer_volume} mL")
-        logger.info(f"分批转移: 总体积 {volume:.2f}mL, {repeats} 次转移")
+        debug_print(f"🔄 分批转移概览: 总体积 {volume:.2f}mL，需要 {repeats} 次转移")
+        logger.info(f"🔄 分批转移概览: 总体积 {volume:.2f}mL，需要 {repeats} 次转移")
 
-    # 创建一个自定义的wait动作，用于在执行时打印日志
+    # 🔧 创建一个自定义的wait动作，用于在执行时打印日志
     def create_progress_log_action(message: str) -> Dict[str, Any]:
         """创建一个特殊的等待动作，在执行时打印进度日志"""
         return {
             "action_name": "wait",
             "action_kwargs": {
-                "time": 0.1,
-                "progress_message": message
+                "time": 0.1,  # 很短的等待时间
+                "progress_message": message  # 自定义字段，用于进度日志
             }
         }
 
@@ -242,12 +359,12 @@ def generate_pump_protocol(
     for i in range(repeats):
         current_volume = min(volume_left, min_transfer_volume)
 
+        # 🆕 在每次循环开始时添加进度日志
         if repeats > 1:
-            pump_action_sequence.append(create_progress_log_action(
-                f"第 {i + 1}/{repeats} 次转移: {current_volume:.2f}mL ({from_vessel_id} -> {to_vessel_id})"
-            ))
+            start_message = f"🚀 准备开始第 {i + 1}/{repeats} 次转移: {current_volume:.2f}mL ({from_vessel_id} → {to_vessel_id}) 🚰"
+            pump_action_sequence.append(create_progress_log_action(start_message))
 
-        # 安全地获取边数据
+        # 🔧 修复：安全地获取边数据
         def get_safe_edge_data(node_a, node_b, key):
             try:
                 edge_data = G.get_edge_data(node_a, node_b)
@@ -350,13 +467,13 @@ def generate_pump_protocol(
                 ])
                 pump_action_sequence.append({"action_name": "wait", "action_kwargs": {"time": 3}})
 
-        # 在每次循环结束时添加完成日志
+        # 🆕 在每次循环结束时添加完成日志
         if repeats > 1:
             remaining_volume = volume_left - current_volume
             if remaining_volume > 0:
-                end_message = f"第 {i + 1}/{repeats} 次完成, 剩余 {remaining_volume:.2f}mL"
+                end_message = f"✅ 第 {i + 1}/{repeats} 次转移完成! 剩余 {remaining_volume:.2f}mL 待转移 ⏳"
             else:
-                end_message = f"第 {i + 1}/{repeats} 次完成, 全部 {volume:.2f}mL 转移完毕"
+                end_message = f"🎉 第 {i + 1}/{repeats} 次转移完成! 全部 {volume:.2f}mL 转移完毕 ✨"
 
             pump_action_sequence.append(create_progress_log_action(end_message))
 
@@ -398,205 +515,300 @@ def generate_pump_protocol_with_rinsing(
     to_vessel_id, _ = get_vessel(to_vessel)
 
     with generate_pump_protocol_with_rinsing._lock:
-        debug_print(f"PUMP_TRANSFER: {from_vessel_id} -> {to_vessel_id}, volume={volume}, flowrate={flowrate}")
+        debug_print("=" * 60)
+        debug_print(f"PUMP_TRANSFER: 🚀 开始生成协议 (同步版本)")
+        debug_print(f"  📍 路径: {from_vessel_id} -> {to_vessel_id}")
+        debug_print(f"  🕐 时间戳: {time_module.time()}")
+        debug_print(f"  🔒 获得执行锁")
+        debug_print("=" * 60)
 
         # 短暂延迟，避免快速重复调用
         time_module.sleep(0.01)
 
+        debug_print("🔍 步骤1: 开始体积处理...")
+
         # 1. 处理体积参数
         final_volume = volume
+        debug_print(f"📋 初始设置: final_volume = {final_volume}")
 
-        # 如果volume为0，从容器读取实际体积
+        # 🔧 修复：如果volume为0（ROS2传入的空值），从容器读取实际体积
         if volume == 0.0:
+            debug_print("🎯 检测到 volume=0.0，开始自动体积检测...")
 
-            actual_volume = get_resource_liquid_volume(G.nodes.get(from_vessel_id, {}))
+            # 直接从源容器读取实际体积
+            actual_volume = get_vessel_liquid_volume(G, from_vessel_id)
+            debug_print(f"📖 从容器 '{from_vessel_id}' 读取到体积: {actual_volume}mL")
 
             if actual_volume > 0:
                 final_volume = actual_volume
+                debug_print(f"✅ 成功设置体积为: {final_volume}mL")
             else:
-                final_volume = 10.0
-                logger.warning(f"无法从容器读取体积，使用默认值: {final_volume}mL")
+                final_volume = 10.0  # 如果读取失败，使用默认值
+                logger.warning(f"⚠️ 无法从容器读取体积，使用默认值: {final_volume}mL")
+        else:
+            debug_print(f"📌 体积非零，直接使用: {final_volume}mL")
+
         # 处理 amount 参数
         if amount and amount.strip():
+            debug_print(f"🔍 检测到 amount 参数: '{amount}'，开始解析...")
             parsed_volume = _parse_amount_to_volume(amount)
+            debug_print(f"📖 从 amount 解析得到体积: {parsed_volume}mL")
 
             if parsed_volume > 0:
                 final_volume = parsed_volume
+                debug_print(f"✅ 使用从 amount 解析的体积: {final_volume}mL")
             elif parsed_volume == 0.0 and amount.lower().strip() == "all":
-                actual_volume = get_resource_liquid_volume(G.nodes.get(from_vessel_id, {}))
+                debug_print("🎯 检测到 amount='all'，从容器读取全部体积...")
+                actual_volume = get_vessel_liquid_volume(G, from_vessel_id)
                 if actual_volume > 0:
                     final_volume = actual_volume
+                    debug_print(f"✅ amount='all'，设置体积为: {final_volume}mL")
 
         # 最终体积验证
+        debug_print(f"🔍 步骤2: 最终体积验证...")
         if final_volume <= 0:
-            logger.error(f"体积无效: {final_volume}mL")
+            logger.error(f"❌ 体积无效: {final_volume}mL")
             final_volume = 10.0
-            logger.warning(f"强制设置为默认值: {final_volume}mL")
+            logger.warning(f"⚠️ 强制设置为默认值: {final_volume}mL")
 
-        debug_print(f"最终体积: {final_volume}mL")
+        debug_print(f"✅ 最终确定体积: {final_volume}mL")
 
         # 2. 处理流速参数
+        debug_print(f"🔍 步骤3: 处理流速参数...")
+        debug_print(f"  - 原始 flowrate: {flowrate}")
+        debug_print(f"  - 原始 transfer_flowrate: {transfer_flowrate}")
+
         final_flowrate = flowrate if flowrate > 0 else 2.5
         final_transfer_flowrate = transfer_flowrate if transfer_flowrate > 0 else 0.5
 
         if flowrate <= 0:
-            logger.warning(f"flowrate <= 0，修正为: {final_flowrate}mL/s")
+            logger.warning(f"⚠️ flowrate <= 0，修正为: {final_flowrate}mL/s")
         if transfer_flowrate <= 0:
-            logger.warning(f"transfer_flowrate <= 0，修正为: {final_transfer_flowrate}mL/s")
+            logger.warning(f"⚠️ transfer_flowrate <= 0，修正为: {final_transfer_flowrate}mL/s")
+
+        debug_print(f"✅ 修正后流速: flowrate={final_flowrate}mL/s, transfer_flowrate={final_transfer_flowrate}mL/s")
 
         # 3. 根据时间计算流速
         if time > 0 and final_volume > 0:
+            debug_print(f"🔍 步骤4: 根据时间计算流速...")
             calculated_flowrate = final_volume / time
+            debug_print(f"  - 计算得到流速: {calculated_flowrate}mL/s")
 
             if flowrate <= 0 or flowrate == 2.5:
                 final_flowrate = min(calculated_flowrate, 10.0)
+                debug_print(f"  - 调整 flowrate 为: {final_flowrate}mL/s")
             if transfer_flowrate <= 0 or transfer_flowrate == 0.5:
                 final_transfer_flowrate = min(calculated_flowrate, 5.0)
+                debug_print(f"  - 调整 transfer_flowrate 为: {final_transfer_flowrate}mL/s")
 
         # 4. 根据速度规格调整
         if rate_spec:
+            debug_print(f"🔍 步骤5: 根据速度规格调整...")
+            debug_print(f"  - 速度规格: '{rate_spec}'")
+
             if rate_spec == "dropwise":
                 final_flowrate = min(final_flowrate, 0.1)
                 final_transfer_flowrate = min(final_transfer_flowrate, 0.1)
+                debug_print(f"  - dropwise模式，流速调整为: {final_flowrate}mL/s")
             elif rate_spec == "slowly":
                 final_flowrate = min(final_flowrate, 0.5)
                 final_transfer_flowrate = min(final_transfer_flowrate, 0.3)
+                debug_print(f"  - slowly模式，流速调整为: {final_flowrate}mL/s")
             elif rate_spec == "quickly":
                 final_flowrate = max(final_flowrate, 5.0)
                 final_transfer_flowrate = max(final_transfer_flowrate, 2.0)
-            debug_print(f"速度规格 '{rate_spec}': flowrate={final_flowrate}, transfer={final_transfer_flowrate}")
+                debug_print(f"  - quickly模式，流速调整为: {final_flowrate}mL/s")
 
     # 5. 处理冲洗参数
+    debug_print(f"🔍 步骤6: 处理冲洗参数...")
     final_rinsing_solvent = rinsing_solvent
     final_rinsing_volume = rinsing_volume if rinsing_volume > 0 else 5.0
     final_rinsing_repeats = rinsing_repeats if rinsing_repeats > 0 else 2
 
     if rinsing_volume <= 0:
-        logger.warning(f"rinsing_volume <= 0，修正为: {final_rinsing_volume}mL")
+        logger.warning(f"⚠️ rinsing_volume <= 0，修正为: {final_rinsing_volume}mL")
     if rinsing_repeats <= 0:
-        logger.warning(f"rinsing_repeats <= 0，修正为: {final_rinsing_repeats}次")
+        logger.warning(f"⚠️ rinsing_repeats <= 0，修正为: {final_rinsing_repeats}次")
 
     # 根据物理属性调整冲洗参数
     if viscous or solid:
         final_rinsing_repeats = max(final_rinsing_repeats, 3)
         final_rinsing_volume = max(final_rinsing_volume, 10.0)
+        debug_print(f"🧪 粘稠/固体物质，调整冲洗参数：{final_rinsing_repeats}次，{final_rinsing_volume}mL")
 
     # 参数总结
-    debug_print(f"最终参数: volume={final_volume}mL, flowrate={final_flowrate}mL/s, "
-                f"transfer_flowrate={final_transfer_flowrate}mL/s, "
-                f"rinsing={final_rinsing_solvent}/{final_rinsing_volume}mL/{final_rinsing_repeats}次")
+    debug_print("📊 最终参数总结:")
+    debug_print(f"  - 体积: {final_volume}mL")
+    debug_print(f"  - 流速: {final_flowrate}mL/s")
+    debug_print(f"  - 转移流速: {final_transfer_flowrate}mL/s")
+    debug_print(f"  - 冲洗溶剂: '{final_rinsing_solvent}'")
+    debug_print(f"  - 冲洗体积: {final_rinsing_volume}mL")
+    debug_print(f"  - 冲洗次数: {final_rinsing_repeats}次")
+
+    # ========== 执行基础转移 ==========
+
+    debug_print("🔧 步骤7: 开始执行基础转移...")
 
-    # 执行基础转移
     try:
+        debug_print(f"  - 调用 generate_pump_protocol...")
+        debug_print(
+            f"  - 参数: G, '{from_vessel_id}', '{to_vessel_id}', {final_volume}, {final_flowrate}, {final_transfer_flowrate}")
 
         pump_action_sequence = generate_pump_protocol(
             G, from_vessel_id, to_vessel_id, final_volume,
             final_flowrate, final_transfer_flowrate
         )
 
-        debug_print(f"基础转移生成了 {len(pump_action_sequence)} 个动作")
+        debug_print(f"  - generate_pump_protocol 返回结果:")
+        debug_print(f"    - 动作序列长度: {len(pump_action_sequence)}")
+        debug_print(f"    - 动作序列是否为空: {len(pump_action_sequence) == 0}")
 
         if not pump_action_sequence:
-            debug_print("基础转移协议为空")
+            debug_print("❌ 基础转移协议生成为空，可能是路径问题")
+            debug_print(f"  - 源容器存在: {from_vessel_id in G.nodes()}")
+            debug_print(f"  - 目标容器存在: {to_vessel_id in G.nodes()}")
 
             if from_vessel_id in G.nodes() and to_vessel_id in G.nodes():
                 try:
                     path = nx.shortest_path(G, source=from_vessel_id, target=to_vessel_id)
-                    debug_print(f"路径存在: {path}")
-                except Exception:
-                    pass
+                    debug_print(f"  - 路径存在: {path}")
+                except Exception as path_error:
+                    debug_print(f"  - 无法找到路径: {str(path_error)}")
 
             return [
                 {
                     "device_id": "system",
                     "action_name": "log_message",
                     "action_kwargs": {
-                        "message": f"路径问题，无法转移: {final_volume}mL 从 {from_vessel_id} 到 {to_vessel_id}"
+                        "message": f"⚠️ 路径问题，无法转移: {final_volume}mL 从 {from_vessel_id} 到 {to_vessel_id}"
                     }
                 }
             ]
 
+        debug_print(f"✅ 基础转移生成了 {len(pump_action_sequence)} 个动作")
+
+        # 打印前几个动作用于调试
+        if len(pump_action_sequence) > 0:
+            debug_print("🔍 前几个动作预览:")
+            for i, action in enumerate(pump_action_sequence[:3]):
+                debug_print(f"  动作 {i + 1}: {action}")
+            if len(pump_action_sequence) > 3:
+                debug_print(f"  ... 还有 {len(pump_action_sequence) - 3} 个动作")
+
     except Exception as e:
-        debug_print(f"基础转移失败: {str(e)}\n{traceback.format_exc()}")
+        debug_print(f"❌ 基础转移失败: {str(e)}")
+        import traceback
+        debug_print(f"详细错误: {traceback.format_exc()}")
         return [
             {
                 "device_id": "system",
                 "action_name": "log_message",
                 "action_kwargs": {
-                    "message": f"转移失败: {final_volume}mL 从 {from_vessel_id} 到 {to_vessel_id}, 错误: {str(e)}"
+                    "message": f"❌ 转移失败: {final_volume}mL 从 {from_vessel_id} 到 {to_vessel_id}, 错误: {str(e)}"
                 }
             }
         ]
 
-    # 执行冲洗操作
+    # ========== 执行冲洗操作 ==========
+
+    debug_print("🔧 步骤8: 检查冲洗操作...")
+
     if final_rinsing_solvent and final_rinsing_solvent.strip() and final_rinsing_repeats > 0:
+        debug_print(f"🧽 开始冲洗操作，溶剂: '{final_rinsing_solvent}'")
 
         try:
             if final_rinsing_solvent.strip() != "air":
+                debug_print("  - 执行液体冲洗...")
                 rinsing_actions = _generate_rinsing_sequence(
                     G, from_vessel_id, to_vessel_id, final_rinsing_solvent,
                     final_rinsing_volume, final_rinsing_repeats,
                     final_flowrate, final_transfer_flowrate
                 )
                 pump_action_sequence.extend(rinsing_actions)
+                debug_print(f"  - 添加了 {len(rinsing_actions)} 个冲洗动作")
             else:
+                debug_print("  - 执行空气冲洗...")
                 air_rinsing_actions = _generate_air_rinsing_sequence(
                     G, from_vessel_id, to_vessel_id, final_rinsing_volume, final_rinsing_repeats,
                     final_flowrate, final_transfer_flowrate
                 )
                 pump_action_sequence.extend(air_rinsing_actions)
+                debug_print(f"  - 添加了 {len(air_rinsing_actions)} 个空气冲洗动作")
         except Exception as e:
-            debug_print(f"冲洗操作失败: {str(e)}")
+            debug_print(f"⚠️ 冲洗操作失败: {str(e)}，跳过冲洗")
     else:
-        debug_print(f"跳过冲洗 (solvent='{final_rinsing_solvent}', repeats={final_rinsing_repeats})")
+        debug_print(f"⏭️ 跳过冲洗操作")
+        debug_print(f"  - 溶剂: '{final_rinsing_solvent}'")
+        debug_print(f"  - 次数: {final_rinsing_repeats}")
+        debug_print(f"  - 条件满足: {bool(final_rinsing_solvent and final_rinsing_solvent.strip() and final_rinsing_repeats > 0)}")
 
-    # 最终结果
-    debug_print(f"PUMP_TRANSFER 完成: {from_vessel_id} -> {to_vessel_id}, "
-                f"volume={final_volume}mL, 动作数={len(pump_action_sequence)}")
+    # ========== 最终结果 ==========
+
+    debug_print("=" * 60)
+    debug_print(f"🎉 PUMP_TRANSFER: 协议生成完成")
+    debug_print(f"  📊 总动作数: {len(pump_action_sequence)}")
+    debug_print(f"  📋 最终体积: {final_volume}mL")
+    debug_print(f"  🚀 执行路径: {from_vessel_id} -> {to_vessel_id}")
 
     # 最终验证
     if len(pump_action_sequence) == 0:
+        debug_print("🚨 协议生成结果为空！这是异常情况")
         return [
             {
                 "device_id": "system",
                 "action_name": "log_message",
                 "action_kwargs": {
-                    "message": "协议生成失败: 无法生成任何动作序列"
+                    "message": f"🚨 协议生成失败: 无法生成任何动作序列"
                 }
             }
         ]
 
+    debug_print("=" * 60)
     return pump_action_sequence
 
 
 def _parse_amount_to_volume(amount: str) -> float:
     """解析 amount 字符串为体积"""
+    debug_print(f"🔍 解析 amount: '{amount}'")
+
     if not amount:
+        debug_print("  - amount 为空，返回 0.0")
         return 0.0
 
     amount = amount.lower().strip()
+    debug_print(f"  - 处理后的 amount: '{amount}'")
 
     # 处理特殊关键词
     if amount == "all":
+        debug_print("  - 检测到 'all'，返回 0.0（需要后续处理）")
         return 0.0  # 返回0.0，让调用者处理
 
     # 提取数字
     import re
     numbers = re.findall(r'[\d.]+', amount)
+    debug_print(f"  - 提取到的数字: {numbers}")
 
     if numbers:
         volume = float(numbers[0])
+        debug_print(f"  - 基础体积: {volume}")
 
         # 单位转换
         if 'ml' in amount or 'milliliter' in amount:
+            debug_print(f"  - 单位: mL，最终体积: {volume}")
             return volume
         elif 'l' in amount and 'ml' not in amount:
-            return volume * 1000
+            final_volume = volume * 1000
+            debug_print(f"  - 单位: L，最终体积: {final_volume}mL")
+            return final_volume
         elif 'μl' in amount or 'microliter' in amount:
-            return volume / 1000
+            final_volume = volume / 1000
+            debug_print(f"  - 单位: μL，最终体积: {final_volume}mL")
+            return final_volume
         else:
-            return volume  # 默认mL
+            debug_print(f"  - 无单位，假设为 mL: {volume}")
+            return volume
 
+    debug_print("  - 无法解析，返回 0.0")
     return 0.0
 
 

unilabos/compile/recrystallize_protocol.py

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

unilabos/compile/reset_handling_protocol.py

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

unilabos/compile/run_column_protocol.py

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

unilabos/compile/separate_protocol.py

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

unilabos/compile/stir_protocol.py

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

unilabos/compile/utils/logger_util.py

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

unilabos/compile/utils/resource_helper.py

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

unilabos/compile/utils/unit_parser.py

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

unilabos/compile/utils/vessel_parser.py

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

unilabos/compile/wash_solid_protocol.py

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

unilabos/config/config.py

@@ -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

unilabos/devices/donghua_ec/Donghua_EC_User_Guide.md

@@ -0,0 +1,78 @@
+# Donghua EC 用户指南（UniLab 接入版）
+
+## 概述
+
+- 提供两套使用方式：
+  - 测试封装动作：一条指令完成“启动实验 → 实时采样写文件 → 导出数据”，可选自动停止。
+  - 基础启动动作：按需组合“启动实验、实时输出、停止、导出”，更灵活可编排。
+
+## 设备配置
+
+- `interface_dir`：DHInterface 目录（包含 `ECCore.dll` 与配置文件），示例：`d:\Uni-Lab-OS\Uni-Lab-OS\unilabos\devices\donghua_ec\x64release\DHInterface`（注册见 `unilabos/registry/devices/donghua_ec.yaml:1940`）。
+- `dll_path`（可选）：若与 `interface_dir` 不一致，可直接指定 `ECCore.dll` 完整路径（`donghua_ec.yaml:1936`）。
+- 默认通道：`machine_id`（`donghua_ec.yaml:1944`）。
+
+## 初始化
+
+- 后端自动：设备注册后会自动调用 `auto-initialize`（加载 DLL）与 `auto-post_init`（注入），无需前端干预（`donghua_ec.yaml:27`、`donghua_ec.yaml:48`）。
+- 手动（可选）：
+  - 调用 `auto-initialize`：`{"device_id":"<设备ID>","action":"auto-initialize"}`
+  - 调用 `auto-post_init`：`{"device_id":"<设备ID>","action":"auto-post_init"}`
+
+## 动作总览
+
+- 测试封装动作（均要求传入 `output_dir`）：
+  - `test_open_circuit_energy`（默认 `stop_after=true`，使用轮询检测实验结束后再停止与导出，不再使用 `wait_seconds`）
+  - `test_eis`（默认 `stop_after=false`，避免提前结束，`donghua_ec.yaml:1480`）
+  - `test_gitt`（默认 `stop_after=false`，`donghua_ec.yaml:1627`）
+  - `test_linear_scan_voltammetry`（默认 `stop_after=false`，必填 `output_dir`，参考 `donghua_ec.yaml:1750` 及后续）
+- 基础启动与组合：
+  - `start_open_circuit_energy`、`start_eis`、`start_gitt`、`start_linear_scan_voltammetry`
+  - 实时输出：`start_realtime_output` / `stop_realtime_output`（`donghua_ec.yaml:1068`、`donghua_ec.yaml:1155`）
+  - 停止实验：`stop_experiment`（`donghua_ec.yaml:1118`）
+  - 导出数据：`export_*_data`（如 `export_eis_data`、`export_gitt_data` 等，均要求 `output_dir/dest_dir`）
+
+## 快速测试流程（推荐）
+
+- 开路电位：
+  - 请求：
+    ```json
+    {"device_id":"<设备ID>","action":"test_open_circuit_energy","action_args":{"output_dir":"d:/data/oc","interval":0.5,"stop_after":true}}
+    ```
+  - 返回包含：`success`、`realtime_file`、`export_files`、`export_dest`。
+- 阻抗（EIS）：
+  - 请求（只需给导出目录，其他用默认即可）：
+    ```json
+    {"device_id":"<设备ID>","action":"test_eis","action_args":{"output_dir":"d:/data/eis","start_freq":10000,"end_freq":0.1,"amplitude":0.01,"point_count":10,"interval":0.5}}
+    ```
+  - 默认不自动停止（`stop_after=false`），可在完成采样后继续扫频；若需自动停，传 `stop_after=true`。
+- GITT：
+  - 请求：
+    ```json
+    {"device_id":"<设备ID>","action":"test_gitt","action_args":{"output_dir":"d:/data/gitt","current":1.0,"time_per_point_cc":0.1,"continue_time_cc":60,"time_per_point_oc":0.1,"continue_time_oc":60,"is_voltage_trig":true,"voltage_or_current_trig_direction":0,"voltage_or_current_trig_value":0,"interval":0.5}}
+    ```
+
+## 基础启动与组合（灵活编排）
+
+- 启动 EIS：
+  - `{"device_id":"<设备ID>","action":"start_eis","action_args":{"start_freq":10000,"end_freq":0.1,"amplitude":0.01,"point_count":10}}`
+- 开启实时输出：
+  - `{"device_id":"<设备ID>","action":"start_realtime_output","action_args":{"interval":0.5}}`
+- 关闭实时输出并获取文件：
+  - `{"device_id":"<设备ID>","action":"stop_realtime_output"}`
+- 导出数据到目录：
+  - `{"device_id":"<设备ID>","action":"export_eis_data","action_args":{"output_dir":"d:/data/eis"}}`
+- 停止实验（可选）：
+  - `{"device_id":"<设备ID>","action":"stop_experiment"}`
+
+## 重要说明
+
+- 必填导出目录：所有 `test_*` 和 `export_*` 动作需要提供 `output_dir`（或 `dest_dir`），否则不会复制数据到目标位置（`donghua_ec.yaml:1545`、`donghua_ec.yaml:1710`）。
+- 关于提前结束：非开路的测试封装动作默认 `stop_after=false`，避免在实时采样后调用 `stop_experiment`，从而导致频率扫描未达到 `end_freq` 就停止（修复见 `donghua_ec.yaml:1480`、`donghua_ec.yaml:1627`）。
+- 实时文件位置：若未指定 `dest_dir`，实时输出会写入 `interface_dir/SourceData/<日期>/<实验子目录>`（实现参考 `unilabos/devices/donghua_ec/donghua_ec.py:1042`）。
+
+## 数据字段（参考）
+
+- EIS 拆分：`time/zre/zim/z/freq/phase/edc`（实现参考 `unilabos/devices/donghua_ec/donghua_ec.py:1109`）。
+- 线性扫描与循环伏安：`time/potential/current` 等（实现参考 `donghua_ec.py:1111`、`donghua_ec.py:1114`）。
+- 开路电位：写入时间序列与电位（`donghua_ec.py:1045`）。

unilabos/devices/donghua_ec/__init__.py

@@ -0,0 +1,3 @@
+from .donghua_ec import DonghuaEC
+
+__all__ = ["DonghuaEC"]

unilabos/devices/donghua_ec/donghua_ec.json

@@ -0,0 +1,24 @@
+{
+  "nodes": [
+    {
+      "id": "donghua_ec_device",
+      "name": "Donghua_EC",
+      "parent": null,
+      "type": "device",
+      "class": "donghua_ec",
+      "position": {
+        "x": 620.6111111111111,
+        "y": 171,
+        "z": 0
+      },
+      "config": {
+        "interface_dir": "D:/Uni-Lab-OS/Uni-Lab-OS/unilabos/devices/donghua_ec/x64release/DHInterface",
+        "dll_path": "",
+        "machine_id": 0
+      },
+      "data": {},
+      "children": []
+    }
+  ],
+  "links": []
+}

unilabos/devices/donghua_ec/exports/1号机().txt

@@ -0,0 +1,358 @@
+                       Time(s)                         E(mV)                         I(mA)                         Q(mC)                 Capacity(mAh)                    Energy(Wh)                          P(W)
+                      0.100000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
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+                      0.700000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
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+                      0.900000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
+                      1.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
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+                      1.300000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
+                      1.400000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
+                      1.500000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
+                      1.600000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
+                      1.700000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
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+                      2.100000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
+                      2.200000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
+                      2.300000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
+                      2.400000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
+                      2.500000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
+                      2.600000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
+                      2.700000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
+                      2.800000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
+                      2.900000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
+                      3.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
+                      3.100000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
+                      3.200000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
+                      3.300000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
+                      3.400000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
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+                       Time(s)                         E(mV)                         I(mA)                         Q(mC)                 Capacity(mAh)                    Energy(Wh)                          P(W)
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unilabos/devices/donghua_ec/exports/2号机().txt

@@ -0,0 +1,398 @@
+                       Time(s)                         E(mV)                         I(mA)                         Q(mC)                 Capacity(mAh)                    Energy(Wh)                          P(W)
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+                     19.799999                   1995.007568                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
+                       Time(s)                         E(mV)                         I(mA)                         Q(mC)                 Capacity(mAh)                    Energy(Wh)                          P(W)
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+                      0.900000                   2059.362793                      0.000000                      0.000000                      0.000000                      0.000000                      0.000000
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unilabos/devices/donghua_ec/exports/3号机().txt

@@ -0,0 +1,597 @@
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unilabos/devices/donghua_ec/exports/开路电位/0号机(开路电位).txt

@@ -0,0 +1,101 @@
+                       Time(s)                         E(mV)                         I(mA)                         Q(mC)                 Capacity(mAh)                    Energy(Wh)                          P(W)
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unilabos/devices/donghua_ec/exports/循环伏安/2号机(循环伏安(多循环)).txt

@@ -0,0 +1,981 @@
+                       Time(s)                         E(mV)                         I(mA)
+                      0.010000                   -997.723450                     -5.245421
+                      0.020000                   -996.045349                     -5.010738
+                      0.030000                   -993.947693                     -4.961776
+                      0.040000                   -991.682251                     -4.928009
+                      0.050000                   -989.752441                     -4.899306
+                      0.060000                   -987.990417                     -5.074349
+                      0.070000                   -985.641052                     -4.800336
+                      0.080000                   -983.879028                     -4.896254
+                      0.090000                   -981.697510                     -4.842570
+                      0.100000                   -979.935486                     -4.868352
+                      0.110000                   -978.005676                     -4.946120
+                      0.120000                   -975.656372                     -4.801778
+                      0.130000                   -973.978271                     -4.739869
+                      0.140000                   -971.880615                     -4.706879
+                      0.150000                   -969.866882                     -4.946629
+                      0.160000                   -967.769287                     -4.942389
+                      0.170000                   -966.007263                     -4.839263
+                      0.180000                   -963.657898                     -4.812040
+                      0.190000                   -961.811951                     -4.663457
+                      0.200000                   -959.798279                     -4.709678
+                      0.210000                   -957.784485                     -4.658539
+                      0.220000                   -955.938599                     -4.624955
+                      0.230000                   -953.757080                     -4.610198
+                      0.240000                   -951.995056                     -4.587724
+                      0.250000                   -949.897400                     -4.594509
+                      0.260000                   -947.883728                     -4.307436
+                      0.270000                   -946.037842                     -4.310320
+                      0.280000                   -943.940186                     -4.356200
+                      0.290000                   -941.926453                     -4.364511
+                      0.300000                   -939.661011                     -4.595781
+                      0.310000                   -937.731201                     -4.543455
+                      0.320000                   -935.717407                     -4.559314
+                      0.330000                   -933.871521                     -4.562452
+                      0.340000                   -931.606079                     -4.427014
+                      0.350000                   -929.844116                     -4.489263
+                      0.360000                   -927.662537                     -4.452202
+                      0.370000                   -925.732788                     -4.399452
+                      0.380000                   -923.886780                     -4.405304
+                      0.390000                   -921.873108                     -4.408611
+                      0.400000                   -919.691589                     -4.333557
+                      0.410000                   -917.593933                     -4.334066
+                      0.420000                   -915.831909                     -4.386562
+                      0.430000                   -913.482544                     -4.543200
+                      0.440000                   -913.146973                     -4.722992
+                      0.450000                   -909.622925                     -4.428881
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+                      0.480000                   -903.581787                     -4.374688
+                      0.490000                   -901.735840                     -4.188112
+                      0.500000                   -899.973816                     -3.465724
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+                      0.610000                   -877.738953                     -2.964597
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+                      0.630000                   -873.543701                     -3.789857
+                      0.640000                   -871.781738                     -2.904723
+                      0.650000                   -869.767944                     -3.019892
+                      0.660000                   -867.838196                     -2.876482
+                      0.670000                   -865.572754                     -2.871055
+                      0.680000                   -863.894653                     -2.873005
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+                      0.710000                   -857.685669                     -3.277282
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+                      0.780000                   -843.673462                     -2.989106
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+                      0.800000                   -839.981567                     -3.497866
+                      0.810000                   -837.212769                     -3.823356
+                      0.820000                   -835.534668                     -3.269310
+                      0.830000                   -833.437012                     -3.710393
+                      0.840000                   -831.842834                     -2.778360
+                      0.850000                   -829.829041                     -2.802276
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+                      0.870000                   -825.717712                     -2.751392
+                      0.880000                   -823.787903                     -2.733328
+                      0.890000                   -821.942017                     -2.720352
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+                      0.910000                   -817.830627                     -2.919310
+                      0.920000                   -815.733032                     -2.894377
+                      0.930000                   -813.803162                     -2.898023
+                      0.940000                   -811.789490                     -2.866390
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+                      1.100000                   -779.653748                     -2.651997
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+                      1.140000                   -771.682800                     -2.617651
+                      1.150000                   -769.501221                     -2.629269
+                      1.160000                   -767.907043                     -2.609424
+                      1.170000                   -765.809387                     -2.601622
+                      1.180000                   -763.879578                     -2.593480
+                      1.190000                   -761.698059                     -2.583049
+                      1.200000                   -759.600464                     -2.560490
+                      1.210000                   -757.586731                     -2.555995
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+                      1.270000                   -745.672180                     -2.536320
+                      1.280000                   -743.658386                     -2.561847
+                      1.290000                   -741.728638                     -2.517239
+                      1.300000                   -739.798828                     -2.482468
+                      1.310000                   -737.868958                     -2.469068
+                      1.320000                   -736.023071                     -2.464319
+                      1.330000                   -733.925415                     -2.457025
+                      1.340000                   -731.659973                     -2.449054
+                      1.350000                   -729.981873                     -2.444898
+                      1.360000                   -727.800293                     -2.441421
+                      1.370000                   -725.618835                     -2.437435
+                      1.380000                   -723.688965                     -2.433025
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+                      1.400000                   -719.661560                     -2.424205
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unilabos/devices/donghua_ec/exports/线性扫描/2号机(线性扫描(LSV)).txt

@@ -0,0 +1,199 @@
+                       Time(s)                         E(mV)                         I(mA)
+                      0.100000                      1.763577                     -0.029101
+                      0.200000                      2.762724                     -0.028610
+                      0.300000                      3.770268                     -0.028559
+                      0.400000                      4.786208                     -0.028826
+                      0.500000                      5.768563                     -0.028349
+                      0.600000                      6.792899                     -0.028234
+                      0.700000                      7.775254                     -0.028022
+                      0.800000                      8.782798                     -0.028118
+                      0.900000                      9.765153                     -0.028299
+                      1.000000                     10.789489                     -0.028453
+                      1.100000                     11.780240                     -0.028453
+                      1.200000                     12.821369                     -0.028657
+                      1.300000                     13.770139                     -0.028915
+                      1.400000                     14.777682                     -0.028546
+                      1.500000                     15.776831                     -0.029188
+                      1.600000                     16.767582                     -0.028683
+                      1.700000                     17.783520                     -0.028601
+                      1.800000                     18.782669                     -0.028970
+                      1.900000                     19.807005                     -0.028870
+                      2.000000                     20.797756                     -0.028791
+                      2.100000                     21.805300                     -0.028462
+                      2.200000                     22.737278                     -0.028364
+                      2.300000                     23.778406                     -0.028617
+                      2.400000                     24.752365                     -0.028738
+                      2.500000                     25.793493                     -0.029199
+                      2.600000                     26.767452                     -0.028708
+                      2.700000                     27.783392                     -0.028065
+                      2.800000                     28.799332                     -0.027991
+                      2.900000                     29.806875                     -0.028424
+                      3.000000                     30.780836                     -0.028417
+                      3.100000                     31.796772                     -0.028475
+                      3.200000                     32.787525                     -0.028331
+                      3.300000                     33.778278                     -0.028108
+                      3.400000                     34.769028                     -0.028230
+                      3.500000                     35.784969                     -0.027984
+                      3.600000                     36.784115                     -0.027942
+                      3.700000                     37.766468                     -0.028032
+                      3.800000                     38.790806                     -0.028286
+                      3.900000                     39.789955                     -0.028354
+                      4.000000                     40.763912                     -0.028207
+                      4.100000                     41.754665                     -0.028099
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+                      4.300000                     43.786545                     -0.028176
+                      4.400000                     44.777294                     -0.028192
+                      4.500000                     45.784836                     -0.028307
+                      4.600000                     46.775589                     -0.028396
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+                      4.800000                     48.773884                     -0.028376
+                      4.900000                     49.781429                     -0.028730
+                      5.000000                     50.780575                     -0.029071
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+                      5.200000                     52.770473                     -0.028525
+                      5.300000                     53.752831                     -0.028479
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+                      5.500000                     55.793106                     -0.029103
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+                      6.000000                     60.797237                     -0.029143
+                      6.100000                     61.787991                     -0.028959
+                      6.200000                     62.803932                     -0.028818
+                      6.300000                     63.769493                     -0.029102
+                      6.400000                     64.768639                     -0.029005
+                      6.500000                     65.759392                     -0.028507
+                      6.600000                     66.783730                     -0.029151
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+                      6.800000                     68.790421                     -0.028720
+                      6.900000                     69.789566                     -0.028786
+                      7.000000                     70.797112                     -0.028745
+                      7.100000                     71.813049                     -0.028627
+                      7.200000                     72.795403                     -0.028186
+                      7.300000                     73.802956                     -0.028823
+                      7.400000                     74.793701                     -0.028599
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+                      7.600000                     76.800392                     -0.029110
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+                      8.000000                     80.796974                     -0.029733
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+                     10.000000                    100.796722                     -0.029081
+                     10.100000                    101.804268                     -0.029024
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+                     12.600000                    126.799744                     -0.029054
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+                     12.800000                    128.823242                     -0.029264
+                     12.900000                    129.813980                     -0.029597
+                     13.000000                    130.813126                     -0.029762
+                     13.100000                    131.803879                     -0.029987
+                     13.200000                    132.803024                     -0.029859
+                     13.300000                    133.793777                     -0.029861
+                     13.400000                    134.792923                     -0.029838
+                     13.500000                    135.808868                     -0.029612
+                     13.600000                    136.791214                     -0.029442
+                     13.700000                    137.790359                     -0.029729
+                     13.800000                    138.806320                     -0.029585
+                     13.900000                    139.805466                     -0.029730
+                     14.000000                    140.829788                     -0.029783
+                     14.100000                    141.812134                     -0.029521
+                     14.200000                    142.802902                     -0.029773
+                     14.300000                    143.802048                     -0.029522
+                     14.400000                    144.801193                     -0.029461
+                     14.500000                    145.775146                     -0.029776
+                     14.600000                    146.816284                     -0.029446
+                     14.700000                    147.807022                     -0.029666
+                     14.800000                    148.822968                     -0.029733
+                     14.900000                    149.805328                     -0.029659
+                     15.000000                    150.796066                     -0.029416
+                     15.100000                    151.812012                     -0.029498
+                     15.200000                    152.819565                     -0.029405
+                     15.300000                    153.801910                     -0.029533
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+                     15.500000                    155.817001                     -0.029578
+                     15.600000                    156.790955                     -0.029868
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+                     15.800000                    158.814453                     -0.029587
+                     15.900000                    159.821991                     -0.029697
+                     16.000000                    160.795944                     -0.029583
+                     16.100000                    161.795090                     -0.029541
+                     16.200001                    162.794235                     -0.029603
+                     16.299999                    163.826965                     -0.029526
+                     16.400000                    164.800934                     -0.029500
+                     16.500000                    165.833664                     -0.029578
+                     16.600000                    166.824417                     -0.029656
+                     16.700001                    167.798370                     -0.029669
+                     16.799999                    168.814316                     -0.029662
+                     16.900000                    169.805069                     -0.029525
+                     17.000000                    170.812607                     -0.029632
+                     17.100000                    171.803375                     -0.029763
+                     17.200001                    172.827698                     -0.029450
+                     17.299999                    173.818451                     -0.029243
+                     17.400000                    174.809189                     -0.029499
+                     17.500000                    175.799957                     -0.029474
+                     17.600000                    176.799103                     -0.029973
+                     17.700001                    177.823441                     -0.029679
+                     17.799999                    178.805786                     -0.029621
+                     17.900000                    179.813339                     -0.029742
+                     18.000000                    180.829285                     -0.029791
+                     18.100000                    181.786438                     -0.029615
+                     18.200001                    182.810776                     -0.029776
+                     18.299999                    183.826721                     -0.029699
+                     18.400000                    184.809067                     -0.029858
+                     18.500000                    185.799820                     -0.029694
+                     18.600000                    186.782181                     -0.029660
+                     18.700001                    187.814911                     -0.029505
+                     18.799999                    188.822464                     -0.029578
+                     18.900000                    189.813202                     -0.029569
+                     19.000000                    190.812363                     -0.029655
+                     19.100000                    191.811508                     -0.029725
+                     19.200001                    192.810654                     -0.029956
+                     19.299999                    193.809799                     -0.029307
+                     19.400000                    194.808945                     -0.029470
+                     19.500000                    195.799698                     -0.029415
+                     19.600000                    196.807236                     -0.029424
+                     19.700001                    197.856766                     -0.029606
+                     19.799999                    198.813934                     -0.029029

unilabos/devices/donghua_ec/exports/计时电位法/2号机(计时电位法).txt

@@ -0,0 +1,89 @@
+                       Time(s)                         E(mV)                         I(mA)
+                      0.100000                   1100.313599                      0.099854
+                      0.200000                   1100.313599                      0.099846
+                      0.300000                   1100.313599                      0.099829
+                      0.400000                   1100.313599                      0.099829
+                      0.500000                   1100.313599                      0.099821
+                      0.600000                   1100.313599                      0.099829
+                      0.700000                   1100.313599                      0.099846
+                      0.800000                   1100.313599                      0.099812
+                      0.900000                   1100.313599                      0.099812
+                      1.000000                   1100.313599                      0.099829
+                      1.100000                   1100.313599                      0.099812
+                      1.200000                   1100.313599                      0.099804
+                      1.300000                   1100.313599                      0.099796
+                      1.400000                   1100.313599                      0.099804
+                      1.500000                   1100.313599                      0.099804
+                      1.600000                   1100.313599                      0.099787
+                      1.700000                   1100.313599                      0.099796
+                      1.800000                   1100.313599                      0.099796
+                      1.900000                   1100.313599                      0.099787
+                      2.000000                   1100.313599                      0.099821
+                      2.100000                   1100.313599                      0.099821
+                      2.200000                   1100.313599                      0.099812
+                      2.300000                   1100.313599                      0.099829
+                      2.400000                   1100.313599                      0.099829
+                      2.500000                   1100.313599                      0.099838
+                      2.600000                   1100.313599                      0.099854
+                      2.700000                   1100.313599                      0.099863
+                      2.800000                   1100.313599                      0.099854
+                      2.900000                   1100.313599                      0.099846
+                      3.000000                   1100.313599                      0.099863
+                      3.100000                   1100.313599                      0.099871
+                      3.200000                   1100.313599                      0.099879
+                      3.300000                   1100.313599                      0.099888
+                      3.400000                   1100.313599                      0.099896
+                      3.500000                   1100.313599                      0.099913
+                      3.600000                   1100.313599                      0.099930
+                      3.700000                   1100.313599                      0.099938
+                      3.800000                   1100.313599                      0.099930
+                      3.900000                   1100.313599                      0.099947
+                      4.000000                   1100.313599                      0.099963
+                      4.100000                   1100.313599                      0.099947
+                      4.200000                   1100.313599                      0.099980
+                      4.300000                   1100.313599                      0.099997
+                      4.400000                   1100.313599                      0.099972
+                      4.500000                   1100.313599                      0.099947
+                      4.600000                   1100.313599                      0.099947
+                      4.700000                   1100.313599                      0.099955
+                      4.800000                   1100.313599                      0.099955
+                      4.900000                   1100.313599                      0.099989
+                      5.000000                   1100.313599                      0.099997
+                      5.100000                   1100.313599                      0.099980
+                      5.200000                   1100.313599                      0.099989
+                      5.300000                   1100.313599                      0.099963
+                      5.400000                   1100.313599                      0.099980
+                      5.500000                   1100.313599                      0.099989
+                      5.600000                   1100.313599                      0.100005
+                      5.700000                   1100.313599                      0.099963
+                      5.800000                   1100.313599                      0.099980
+                      5.900000                   1100.313599                      0.099980
+                      6.000000                   1100.313599                      0.099980
+                      6.100000                   1100.313599                      0.099972
+                      6.200000                   1100.313599                      0.099997
+                      6.300000                   1100.313599                      0.099972
+                      6.400000                   1100.313599                      0.099955
+                      6.500000                   1100.313599                      0.099972
+                      6.600000                   1100.313599                      0.099963
+                      6.700000                   1100.313599                      0.099980
+                      6.800000                   1100.313599                      0.099963
+                      6.900000                   1100.313599                      0.099955
+                      7.000000                   1100.313599                      0.099989
+                      7.100000                   1100.313599                      0.099989
+                      7.200000                   1100.313599                      0.099980
+                      7.300000                   1100.313599                      0.099980
+                      7.400000                   1100.313599                      0.099980
+                      7.500000                   1100.313599                      0.099963
+                      7.600000                   1100.313599                      0.099980
+                      7.700000                   1100.313599                      0.099955
+                      7.800000                   1100.313599                      0.099980
+                      7.900000                   1100.313599                      0.099963
+                      8.000000                   1100.313599                      0.099989
+                      8.100000                   1100.313599                      0.099980
+                      8.200000                   1100.313599                      0.099989
+                      8.300000                   1100.313599                      0.099989
+                      8.400000                   1100.313599                      0.099972
+                      8.500000                   1100.313599                      0.100005
+                      8.600000                   1100.313599                      0.099980
+                      8.700000                   1100.313599                      0.100005
+                      8.800000                   1100.313599                      0.099997

unilabos/devices/donghua_ec/exports/阻抗/2号机().txt

@@ -0,0 +1,49 @@
+                       Time(s)                      Zre(Ohm)                      Zim(Ohm)                        Z(Ohm)                      Freq(Hz)                    Phase(deg)                       EDC(mV)
+                      0.128000                   6755.462891                   3996.161133                   7848.922363                  10000.000000                    -30.606230                      0.000000
+                      0.272000                   6824.638672                   3994.455811                   7907.677734                   8888.900391                    -30.340406                      0.000000
+                      0.436571                   7059.030762                   4099.418457                   8163.035156                   7777.799805                    -30.145187                      0.000000
+                      0.628570                   7516.110840                   4371.320312                   8694.846680                   6666.700195                    -30.181999                      0.000000
+                       Time(s)                      Zre(Ohm)                      Zim(Ohm)                        Z(Ohm)                      Freq(Hz)                    Phase(deg)                       EDC(mV)
+                      0.128000                   4004.078857                   1725.499268                   4360.045410                  10000.000000                    -23.312920                      0.000000
+                      0.272000                   3751.894043                   1407.421021                   4007.186523                   8888.900391                    -20.562214                      0.000000
+                      0.436571                   3795.918457                   1347.885742                   4028.125244                   7777.799805                    -19.549349                      0.000000
+                      0.628570                   3988.254883                   1406.353516                   4228.948730                   6666.700195                    -19.423862                      0.000000
+                      0.858968                   4340.244629                   1560.648071                   4612.303711                   5555.600098                    -19.777370                      0.000000
+                      1.146964                   4953.287598                   1795.551514                   5268.687012                   4444.500000                    -19.925425                      0.000000
+                      1.530957                   5583.770020                   2229.389648                   6012.375977                   3333.399902                    -21.764971                      0.000000
+                      2.106936                   6545.107422                   2367.948486                   6960.288086                   2222.300049                    -19.889572                      0.000000
+                      3.258844                   7567.829590                   1800.241089                   7779.004395                   1111.199951                    -13.380868                      0.000000
+                     23.258844                   7841.500488                    363.667908                   7849.928711                      0.100000                     -2.655323                      0.000000
+                       Time(s)                      Zre(Ohm)                      Zim(Ohm)                        Z(Ohm)                      Freq(Hz)                    Phase(deg)                       EDC(mV)
+                      0.128000                   4585.909668                   1983.974854                   4996.671387                  10000.000000                    -23.394470                      0.000000
+                      0.272000                   4468.743652                   1882.592163                   4849.105469                   8888.900391                    -22.844717                      0.000000
+                      0.436571                   4585.427246                   1862.162964                   4949.120605                   7777.799805                    -22.102295                      0.000000
+                      0.628570                   4762.757812                   1835.767822                   5104.302734                   6666.700195                    -21.078768                      0.000000
+                      0.858968                   5040.085449                   1868.267578                   5375.210449                   5555.600098                    -20.338821                      0.000000
+                      1.146964                   5369.222168                   2009.491211                   5732.939941                   4444.500000                    -20.518923                      0.000000
+                      1.530957                   5790.665039                   2128.829590                   6169.580078                   3333.399902                    -20.185007                      0.000000
+                      2.106936                   6104.018066                   1879.055054                   6386.695801                   2222.300049                    -17.110409                      0.000000
+                      3.258844                   6228.028809                   1268.160278                   6355.830078                   1111.199951                    -11.509306                      0.000000
+                     23.258844                   6003.355957                    413.043579                   6017.548340                      0.100000                     -3.935868                      0.000000
+                       Time(s)                      Zre(Ohm)                      Zim(Ohm)                        Z(Ohm)                      Freq(Hz)                    Phase(deg)                       EDC(mV)
+                      0.128000                   3572.804688                   1110.373413                   3741.371826                  10000.000000                    -17.264450                      0.000000
+                      0.272000                   3733.689209                   1029.676392                   3873.069580                   8888.900391                    -15.417786                      0.000000
+                      0.436571                   3814.144043                   1035.226807                   3952.137207                   7777.799805                    -15.185266                      0.000000
+                      0.628570                   3763.235596                    993.421204                   3892.149414                   6666.700195                    -14.787639                      0.000000
+                      0.858968                   3746.752197                    922.539612                   3858.656738                   5555.600098                    -13.832431                      0.000000
+                      1.146964                   3835.638184                    876.370972                   3934.481689                   4444.500000                    -12.870085                      0.000000
+                      1.530957                   3879.458496                    808.279602                   3962.765869                   3333.399902                    -11.769126                      0.000000
+                      2.106936                   4037.450439                    756.480225                   4107.708496                   2222.300049                    -10.612228                      0.000000
+                      3.258844                   4497.190430                    741.943848                   4557.982422                   1111.199951                     -9.368237                      0.000000
+                     23.258844                   5525.440430                    743.580078                   5575.249023                      0.100000                     -7.664470                      0.000000
+                       Time(s)                      Zre(Ohm)                      Zim(Ohm)                        Z(Ohm)                      Freq(Hz)                    Phase(deg)                       EDC(mV)
+                      0.128000                   4508.749023                   1480.736694                   4745.671387                  10000.000000                    -18.180910                      0.000000
+                      0.272000                   4432.497070                   1333.723267                   4628.806152                   8888.900391                    -16.746363                      0.000000
+                      0.436571                   4782.034668                   1541.624512                   5024.386719                   7777.799805                    -17.868198                      0.000000
+                      0.628570                   5205.424805                   1835.522095                   5519.563965                   6666.700195                    -19.423525                      0.000000
+                      0.858968                   5297.061035                   1830.112549                   5604.298828                   5555.600098                    -19.059818                      0.000000
+                      1.146964                   5442.899414                   1763.836304                   5721.562012                   4444.500000                    -17.955534                      0.000000
+                      1.530957                   5554.852051                   1871.875732                   5861.766113                   3333.399902                    -18.622803                      0.000000
+                      2.106936                   5667.162598                   1750.656982                   5931.402344                   2222.300049                    -17.166569                      0.000000
+                      3.258844                   5834.244629                   1325.616577                   5982.948242                   1111.199951                    -12.801015                      0.000000
+                     23.258844                   5939.145508                    584.428345                   5967.831055                      0.100000                     -5.619970                      0.000000

unilabos/devices/donghua_ec/exports/阻抗/2号机(控制电位EIS)_demo_sample.txt

@@ -0,0 +1,55 @@
+                       Time(s)                        Zre(Ω)                        Zim(Ω)                          Z(Ω)                      Freq(Hz)                      Phase(°)                        EDC(V)
+                      0.128000                   8836.014648                   4088.676270                   9736.140625                  10000.000000                    -24.831327                      0.000000
+                      0.289142                   8947.045898                   3906.468262                   9762.690430                   7943.282227                    -23.587093                      0.000000
+                      0.492009                   9445.424805                   4166.807129                  10323.678711                   6309.573242                    -23.804461                      0.000000
+                      0.747402                  10144.289062                   4494.853516                  11095.508789                   5011.872070                    -23.897749                      0.000000
+                      1.068924                  10604.609375                   4514.041992                  11525.376953                   3981.071533                    -23.057899                      0.000000
+                      1.473696                  11142.434570                   4558.653809                  12038.902344                   3162.277588                    -22.250721                      0.000000
+                      1.983273                  11883.416016                   4958.137695                  12876.284180                   2511.886230                    -22.647444                      0.000000
+                      2.624793                  12497.970703                   5309.595215                  13579.067383                   1995.262329                    -23.017561                      0.000000
+                      3.432418                  13203.150391                   5649.524414                  14361.069336                   1584.893188                    -23.165701                      0.000000
+                      4.449158                  14128.726562                   6126.426270                  15399.805664                   1258.925293                    -23.442274                      0.000000
+                      4.481158                  14911.369141                   6479.161133                  16258.181641                   1000.000000                    -23.485498                      0.000000
+                      4.521444                  15656.686523                   6829.202637                  17081.271484                    794.328247                    -23.566080                      0.000000
+                      4.572160                  16835.632812                   7643.918945                  18489.673828                    630.957336                    -24.419577                      0.000000
+                      4.636009                  18222.216797                   8657.716797                  20174.371094                    501.187225                    -25.413269                      0.000000
+                      4.716389                  22157.533203                  11829.420898                  25117.552734                    398.107178                    -28.096781                      0.000000
+                      4.817582                  23357.978516                  11746.929688                  26145.468750                    316.227753                    -26.698219                      0.000000
+                      4.944976                  24984.910156                  12806.191406                  28075.687500                    251.188629                    -27.137728                      0.000000
+                      4.716389                  20656.267578                  10043.393555                  22968.482422                    398.107178                    -25.929729                      0.000000
+                      4.817582                  23355.941406                  11758.861328                  26149.011719                    316.227753                    -26.723581                      0.000000
+                      4.944976                  24946.281250                  12709.506836                  27997.294922                    251.188629                    -26.997705                      0.000000
+                      5.105356                  25699.732422                  12844.353516                  28730.708984                    199.526230                    -26.555218                      0.000000
+                      5.307262                  28007.763672                  13781.557617                  31214.837891                    158.489319                    -26.200048                      0.000000
+                      5.561448                  32278.408203                  15294.345703                  35718.519531                    125.892532                    -25.352806                      0.000000
+                      5.601448                  36631.953125                  16377.120117                  40126.175781                    100.000000                    -24.088081                      0.000000
+                      5.651804                  36212.464844                  14175.981445                  38888.316406                     79.432823                    -21.378698                      0.000000
+                      5.715200                  31005.900391                  10025.936523                  32586.580078                     63.095734                    -17.918913                      0.000000
+                      5.795011                  27789.210938                   7751.479004                  28850.054688                     50.118721                    -15.585830                      0.000000
+                      5.895486                  35634.070312                   9420.209961                  36858.207031                     39.810719                    -14.807939                      0.000000
+                      6.021977                  42739.617188                  10889.406250                  44105.035156                     31.622778                    -14.293976                      0.000000
+                      6.181220                  41334.429688                  12303.883789                  43126.796875                     25.118862                    -16.576517                      0.000000
+                      6.381695                  44635.375000                  13761.085938                  46708.503906                     19.952623                    -17.134529                      0.000000
+                      6.634078                  47430.500000                   9581.280273                  48388.566406                     15.848931                    -11.420444                      0.000000
+                      6.951809                  47006.734375                   6501.482910                  47454.214844                     12.589253                     -7.874598                      0.000000
+                      7.351809                  47260.820312                   5934.597168                  47631.968750                     10.000000                     -7.157238                      0.000000
+                      7.855379                  51975.855469                    140.047073                  51976.042969                      7.943282                     -0.154381                      0.000000
+                      8.489336                  58372.769531                   2538.466309                  58427.937500                      6.309573                     -2.490062                      0.000000
+                      9.287441                  59285.113281                   8795.745117                  59934.046875                      5.011872                     -8.439040                      0.000000
+                     10.292196                  55917.351562                   9934.631836                  56793.019531                      3.981072                    -10.074409                      0.000000
+                     11.557107                  51669.527344                   1365.285522                  51687.562500                      3.162278                     -1.513598                      0.000000
+                     13.149536                           nan                           nan                           nan                      2.511886                      2.248806                      0.000000
+                     15.154285                           nan                           nan                           nan                      1.995262                      4.537589                      0.000000
+                     17.678116                           nan                           nan                           nan                      1.584893                      1.901186                      0.000000
+                     20.855431                           nan                           nan                           nan                      1.258925                    -14.520571                      0.000000
+                     22.855431                           nan                           nan                           nan                      1.000000                    -21.347967                      0.000000
+                     25.373281                           nan                           nan                           nan                      0.794328                    -16.286789                      0.000000
+                     28.543070                  43693.843750                   2706.736816                  43777.601562                      0.630957                     -3.544817                      0.000000
+                     32.533596                  34982.421875                  -4359.896973                  35253.062500                      0.501187                      7.104203                      0.000000
+                     37.557373                  30128.955078                   -116.846642                  30129.181641                      0.398107                      0.222204                      0.000000
+                     43.881924                  32771.234375                   6115.649902                  33336.992188                      0.316228                    -10.570740                      0.000000
+                     51.844055                  18206.365234                  -7035.584961                  19518.482422                      0.251189                     21.128300                      0.000000
+                     61.867813                  -1157.350342                  -5457.016602                   5578.395020                      0.199526                    101.974136                      0.000000
+                     74.486984                  -7572.944336                  -5757.060547                   9512.792969                      0.158489                    142.757385                      0.000000
+                     90.373489                  -6719.222656                 -12092.010742                  13833.461914                      0.125893                    119.059814                      0.000000
+                    110.373489                   2759.366699                  -3812.787109                   4706.532715                      0.100000                     54.106220                      0.000000

unilabos/devices/donghua_ec/exports/阻抗/2号机(控制电流EIS)_demo_sample.txt

@@ -0,0 +1,5 @@
+                       Time(s)                      Zre(Ohm)                      Zim(Ohm)                        Z(Ohm)                      Freq(Hz)                    Phase(deg)                       EDC(mV)
+                      0.128000                   5301.714355                   1606.345947                   5539.722168                  10000.000000                    -16.856081                      0.000000
+                      0.272000                   5303.290527                   1594.772095                   5537.886719                   8888.900391                    -16.736752                      0.000000
+                      0.436571                   5347.800781                   1595.693970                   5580.789551                   7777.799805                    -16.614220                      0.000000
+                      0.628570                   5478.396973                   1635.483032                   5717.310547                   6666.700195                    -16.622107                      0.000000

unilabos/devices/donghua_ec/init_output.txt

@@ -0,0 +1,70 @@
+initialize: True
+get_machine_ids: {'success': True, 'machine_ids': [1, 3, 2]}
+version: reflect_linear_scan_signature
+linear_scan_related_methods:
+Add_ConstantPotential:['System.String', 'System.Single', 'System.Int32', 'System.Boolean', 'System.Boolean', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Single', 'System.Boolean', 'System.Single', 'System.Boolean', 'System.Single', 'System.Boolean', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['parentTag', 'Voltage', 'VoltageVSType', 'IsAccrueQ', 'isVoltageTrig', 'VoltageOrCurrentTrigDirection', 'VoltageOrCurrentTrigValue', 'capacityTrigDirection', 'capacityTrigValue', 'timePerPoint', 'continueTime', 'IsUseResolution', 'Resolution', 'isUseDeltaI', 'deltaI', 'isUseDeltaQ', 'deltaQ', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'machineId']
+Start_Circle_Voltammetry_Multi:['System.Boolean', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Boolean', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.Single'] | names=['IsUseInitialPotential', 'InitialPotential', 'InitialPotentialVSType', 'TopPotential1', 'TopPotential1VSType', 'TopPotential2', 'TopPotential2VSType', 'IsUseFinallyPotential', 'FinallyPotential', 'FinallyPotentialVSType', 'ScanRate', 'cycleCount', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId', 'delayTime']
+Start_Staircase_Cyclic_Voltammetry_MultipleCycles:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['InitialPotential', 'InitialPotentialVSType', 'TopPotential1', 'TopPotential1VSType', 'TopPotential2', 'TopPotential2VSType', 'FinallyPotential', 'FinallyPotentialVSType', 'StepHeight', 'StepTime', 'cycleCount', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_Linear_Scan_Voltammetry:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.Single'] | names=['InitialPotential', 'InitialPotentialVSType', 'FinallyPotential', 'FinallyPotentialVSType', 'ScanRate', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId', 'delayTime']
+Start_Linear_Scan_Voltammetry_New:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.Single'] | names=['InitialPotential', 'InitialPotentialVSType', 'FinallyPotential', 'FinallyPotentialVSType', 'ScanRate', 'voltageInterval', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId', 'delayTime']
+Start_Circle_Voltammetry_Single:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.Single'] | names=['InitialPotential', 'InitialPotentialVSType', 'TopPotential', 'TopPotentialVSType', 'FinallyPotential', 'FinallyPotentialVSType', 'ScanRate', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId', 'delayTime']
+Start_Staircase_Linear_Scan:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['InitialPotential', 'InitialPotentialVSType', 'FinallyPotential', 'FinallyPotentialVSType', 'StepHeight', 'StepTime', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_Potentiodynamic:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['InitialPotential', 'InitialPotentialVSType', 'FinallyPotential', 'FinallyPotentialVSType', 'StepHeight', 'StepTime', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_Staircase_Cyclic_Voltammetry_Single:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['InitialPotential', 'InitialPotentialVSType', 'TopPotential', 'TopPotentialVSType', 'FinallyPotential', 'FinallyPotentialVSType', 'StepHeight', 'StepTime', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_ChronoamperonetryParam:['System.Single', 'System.Single', 'System.Single', 'System.Int32', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['timePerPoint', 'continueTime', 'InitialPotential', 'InitialPotentialVSType', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_ChronopotentiometryParam:['System.Single', 'System.Single', 'System.Single', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['timePerPoint', 'continueTime', 'current', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_ChronocoulometryParam:['System.Single', 'System.Single', 'System.Single', 'System.Int32', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['timePerPoint', 'continueTime', 'potential', 'potentialotentialVSType', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_ConstantPotential:['System.Single', 'System.Int32', 'System.Boolean', 'System.Boolean', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Single', 'System.Boolean', 'System.Single', 'System.Boolean', 'System.Single', 'System.Boolean', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['Voltage', 'VoltageVSType', 'IsAccrueQ', 'isVoltageTrig', 'VoltageOrCurrentTrigDirection', 'VoltageOrCurrentTrigValue', 'capacityTrigDirection', 'capacityTrigValue', 'timePerPoint', 'continueTime', 'IsUseResolution', 'Resolution', 'isUseDeltaI', 'deltaI', 'isUseDeltaQ', 'deltaQ', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'machineId']
+Start_Potentiostatic_Staircase:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['OutputValue1', 'vsType1', 'OutputValue2', 'vsType2', 'OutputValue3', 'vsType3', 'timePerPoint', 'stepCount', 'measureDelay', 'plusTime', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_Fast_Potential_Pulses:['System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['plusCount', 'OutputValue1', 'ContinueTime1', 'vsType1', 'OutputValue2', 'ContinueTime2', 'vsType2', 'OutputValue3', 'ContinueTime3', 'vsType3', 'OutputValue4', 'ContinueTime4', 'vsType4', 'OutputValue5', 'ContinueTime5', 'vsType5', 'timePerPoint', 'cycleCount', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+StartConstantPotential_LineScan:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['InitialPotential', 'InitialPotentialVSType', 'FinallyPotential', 'FinallyPotentialVSType', 'StaticTime', 'CycleCount', 'TimePerPoint', 'ContinueTime', 'StepHeight', 'SweptRate', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_Circle_Voltammetry_Multi_New:['System.Single', 'System.Boolean', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Boolean', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.Single'] | names=['voltageInterval', 'IsUseInitialPotential', 'InitialPotential', 'InitialPotentialVSType', 'TopPotential1', 'TopPotential1VSType', 'TopPotential2', 'TopPotential2VSType', 'IsUseFinallyPotential', 'FinallyPotential', 'FinallyPotentialVSType', 'ScanRate', 'cycleCount', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId', 'delayTime']
+Start_Staircase_Cyclic_Voltammetry_MultipleCycles_New:['System.Boolean', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Boolean', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.Single'] | names=['IsUseInitialPotential', 'InitialPotential', 'InitialPotentialVSType', 'TopPotential1', 'TopPotential1VSType', 'TopPotential2', 'TopPotential2VSType', 'IsUseFinallyPotential', 'FinallyPotential', 'FinallyPotentialVSType', 'stepHeight', 'stepTime', 'cycleCount', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId', 'delayTime']
+all_start_methods:
+Start_Circle_Voltammetry_Multi:['System.Boolean', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Boolean', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.Single'] | names=['IsUseInitialPotential', 'InitialPotential', 'InitialPotentialVSType', 'TopPotential1', 'TopPotential1VSType', 'TopPotential2', 'TopPotential2VSType', 'IsUseFinallyPotential', 'FinallyPotential', 'FinallyPotentialVSType', 'ScanRate', 'cycleCount', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId', 'delayTime']
+Start_Staircase_Cyclic_Voltammetry_MultipleCycles:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['InitialPotential', 'InitialPotentialVSType', 'TopPotential1', 'TopPotential1VSType', 'TopPotential2', 'TopPotential2VSType', 'FinallyPotential', 'FinallyPotentialVSType', 'StepHeight', 'StepTime', 'cycleCount', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_SplitLPR:['System.Single', 'System.Single', 'ECCore.VSType', 'System.Single', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['aNodeVoltage', 'cathodeVoltage', 'aNodeVSTye', 'stepHeight', 'stepTime', 'continueTime', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_OpenCircuit:['System.Single', 'System.Single', 'System.Int32'] | names=['timePerPoint', 'continueTime', 'machineId']
+Start_Galvanic_Corrosion:['System.Single', 'System.Single', 'System.Int32'] | names=['timePerPoint', 'continueTime', 'machineId']
+Start_Electrochemical_Noise_En:['System.Single', 'System.Single', 'System.Int32', 'System.Int32'] | names=['timePerPoint', 'timePerSegment', 'segmentCount', 'machineId']
+Start_Linear_Scan_Voltammetry:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.Single'] | names=['InitialPotential', 'InitialPotentialVSType', 'FinallyPotential', 'FinallyPotentialVSType', 'ScanRate', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId', 'delayTime']
+Start_Linear_Scan_Voltammetry_New:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.Single'] | names=['InitialPotential', 'InitialPotentialVSType', 'FinallyPotential', 'FinallyPotentialVSType', 'ScanRate', 'voltageInterval', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId', 'delayTime']
+Start_Circle_Voltammetry_Single:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.Single'] | names=['InitialPotential', 'InitialPotentialVSType', 'TopPotential', 'TopPotentialVSType', 'FinallyPotential', 'FinallyPotentialVSType', 'ScanRate', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId', 'delayTime']
+Start_Staircase_Linear_Scan:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['InitialPotential', 'InitialPotentialVSType', 'FinallyPotential', 'FinallyPotentialVSType', 'StepHeight', 'StepTime', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_Potentiodynamic:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['InitialPotential', 'InitialPotentialVSType', 'FinallyPotential', 'FinallyPotentialVSType', 'StepHeight', 'StepTime', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_Galvanodynamic:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['InitialPotential', 'InitialPotentialVSType', 'FinallyPotential', 'FinallyPotentialVSType', 'StepHeight', 'StepTime', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_Staircase_Cyclic_Voltammetry_Single:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['InitialPotential', 'InitialPotentialVSType', 'TopPotential', 'TopPotentialVSType', 'FinallyPotential', 'FinallyPotentialVSType', 'StepHeight', 'StepTime', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_Cyclic_Polarization:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.String', 'System.String', 'System.Int32'] | names=['InitialPotential', 'InitialPotentialVSType', 'TopPotential', 'TopPotentialVSType', 'FinallyPotential', 'FinallyPotentialVSType', 'StepHeight', 'StepTime', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'voltageTrigValue', 'currentTrigValue', 'machineId']
+Start_ChronoamperonetryParam:['System.Single', 'System.Single', 'System.Single', 'System.Int32', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['timePerPoint', 'continueTime', 'InitialPotential', 'InitialPotentialVSType', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_ChronopotentiometryParam:['System.Single', 'System.Single', 'System.Single', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['timePerPoint', 'continueTime', 'current', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_ChronocoulometryParam:['System.Single', 'System.Single', 'System.Single', 'System.Int32', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['timePerPoint', 'continueTime', 'potential', 'potentialotentialVSType', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_SquareWare:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['initialPotential', 'initialPotentialVSType', 'finallyPotential', 'finallyPotentialVSType', 'stepHeight', 'pluseHeight', 'startFreq', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_DifferentialPulse:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['initialPotential', 'initialPotentialVSType', 'finallyPotential', 'finallyPotentialVSType', 'stepHeight', 'pluseHeight', 'pluseWidth', 'stepTime', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_NormalPulse:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['initialPotential', 'initialPotentialVSType', 'finallyPotential', 'finallyPotentialVSType', 'stepHeight', 'pluseWidth', 'stepTime', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_EIS:['System.Boolean', 'System.Double', 'System.Double', 'System.Single', 'System.Int32', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.Single', 'System.Int32'] | names=['isVolEIS', 'StartFreq', 'EndFreq', 'Amplitude', 'IntervalType', 'PointCount', 'Voltage', 'VoltageVSType', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId', 'delayTime', 'dataQuality']
+Start_EnergyOpenCircuit:['System.Boolean', 'System.Single', 'System.Boolean', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Single', 'System.Boolean', 'System.Single', 'System.Boolean', 'System.Single', 'System.Boolean', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['isUseExcursionRate', 'excursionRate', 'isVoltageTrig', 'VoltageOrCurrentTrigDirection', 'VoltageOrCurrentTrigValue', 'capacityTrigDirection', 'capacityTrigValue', 'timePerPoint', 'continueTime', 'IsUseResolution', 'Resolution', 'isUseDeltaI', 'deltaI', 'isUseDeltaQ', 'deltaQ', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'machineId']
+Start_ConstantPotential:['System.Single', 'System.Int32', 'System.Boolean', 'System.Boolean', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Single', 'System.Boolean', 'System.Single', 'System.Boolean', 'System.Single', 'System.Boolean', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['Voltage', 'VoltageVSType', 'IsAccrueQ', 'isVoltageTrig', 'VoltageOrCurrentTrigDirection', 'VoltageOrCurrentTrigValue', 'capacityTrigDirection', 'capacityTrigValue', 'timePerPoint', 'continueTime', 'IsUseResolution', 'Resolution', 'isUseDeltaI', 'deltaI', 'isUseDeltaQ', 'deltaQ', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'machineId']
+Start_ConstantContent:['System.Single', 'System.Boolean', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Single', 'System.Boolean', 'System.Single', 'System.Boolean', 'System.Single', 'System.Boolean', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['current', 'isVoltageTrig', 'VoltageOrCurrentTrigDirection', 'VoltageOrCurrentTrigValue', 'capacityTrigDirection', 'capacityTrigValue', 'timePerPoint', 'continueTime', 'IsUseResolution', 'Resolution', 'isUseDeltaI', 'deltaI', 'isUseDeltaQ', 'deltaQ', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'machineId']
+Start_CurrentChargeDisCharge:['System.Single', 'System.Single', 'System.Single', 'System.Single', 'System.Single', 'System.Single', 'System.Single', 'System.Int32', 'ECCore.SwithPriority', 'ECCore.TimeType', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['CurrentValue1', 'TimeLimitValue1', 'Vol1LimitValue1', 'CurrentValue2', 'TimeLimitValue2', 'Vol1LimitValue2', 'timePerPoint', 'CycleCount', 'CurrentSwithPriority', 'timeType', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'machineId']
+Start_ConstantPower:['System.Single', 'System.Boolean', 'System.Single', 'System.Boolean', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Single', 'System.Boolean', 'System.Single', 'System.Boolean', 'System.Single', 'System.Boolean', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['power', 'isCharge', 'currentUpLimit', 'isVoltageTrig', 'VoltageOrCurrentTrigDirection', 'VoltageOrCurrentTrigValue', 'capacityTrigDirection', 'capacityTrigValue', 'timePerPoint', 'continueTime', 'IsUseResolution', 'Resolution', 'isUseDeltaI', 'deltaI', 'isUseDeltaQ', 'deltaQ', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'machineId']
+Start_ConstantResistance:['System.Single', 'System.Boolean', 'System.Single', 'System.Boolean', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Single', 'System.Boolean', 'System.Single', 'System.Boolean', 'System.Single', 'System.Boolean', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['resistance', 'isCharge', 'currentUpLimit', 'isVoltageTrig', 'VoltageOrCurrentTrigDirection', 'VoltageOrCurrentTrigValue', 'capacityTrigDirection', 'capacityTrigValue', 'timePerPoint', 'continueTime', 'IsUseResolution', 'Resolution', 'isUseDeltaI', 'deltaI', 'isUseDeltaQ', 'deltaQ', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'machineId']
+Start_Tafel:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['InitialPotential', 'InitialPotentialVSType', 'FinallyPotential', 'FinallyPotentialVSType', 'StepHeight', 'StepTime', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_LPR:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['InitialPotential', 'InitialPotentialVSType', 'FinallyPotential', 'FinallyPotentialVSType', 'StepHeight', 'StepTime', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_Zra:['System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['timePerPoint', 'continueTime', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_Potentiostatic_Staircase:['System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['OutputValue1', 'vsType1', 'OutputValue2', 'vsType2', 'OutputValue3', 'vsType3', 'timePerPoint', 'stepCount', 'measureDelay', 'plusTime', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_Fast_Potential_Pulses:['System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['plusCount', 'OutputValue1', 'ContinueTime1', 'vsType1', 'OutputValue2', 'ContinueTime2', 'vsType2', 'OutputValue3', 'ContinueTime3', 'vsType3', 'OutputValue4', 'ContinueTime4', 'vsType4', 'OutputValue5', 'ContinueTime5', 'vsType5', 'timePerPoint', 'cycleCount', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_Fast_Galvanic_Pulses:['System.Int32', 'System.Single', 'System.Single', 'System.Single', 'System.Single', 'System.Single', 'System.Single', 'System.Single', 'System.Single', 'System.Single', 'System.Single', 'System.Single', 'System.Int32', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32'] | names=['plusCount', 'OutputValue1', 'ContinueTime1', 'OutputValue2', 'ContinueTime2', 'OutputValue3', 'ContinueTime3', 'OutputValue4', 'ContinueTime4', 'OutputValue5', 'ContinueTime5', 'timePerPoint', 'cycleCount', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId']
+Start_Circle_Voltammetry_Multi_New:['System.Single', 'System.Boolean', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Boolean', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.Single'] | names=['voltageInterval', 'IsUseInitialPotential', 'InitialPotential', 'InitialPotentialVSType', 'TopPotential1', 'TopPotential1VSType', 'TopPotential2', 'TopPotential2VSType', 'IsUseFinallyPotential', 'FinallyPotential', 'FinallyPotentialVSType', 'ScanRate', 'cycleCount', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId', 'delayTime']
+Start_Staircase_Cyclic_Voltammetry_MultipleCycles_New:['System.Boolean', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Single', 'System.Int32', 'System.Boolean', 'System.Single', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.Single'] | names=['IsUseInitialPotential', 'InitialPotential', 'InitialPotentialVSType', 'TopPotential1', 'TopPotential1VSType', 'TopPotential2', 'TopPotential2VSType', 'IsUseFinallyPotential', 'FinallyPotential', 'FinallyPotentialVSType', 'stepHeight', 'stepTime', 'cycleCount', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'machineId', 'delayTime']
+Start_OpenCircuit_All:['System.Single', 'System.Single'] | names=['timePerPoint', 'continueTime']
+Start_EIS_All:['System.Boolean', 'System.Double', 'System.Double', 'System.Single', 'System.Int32', 'System.Int32', 'System.Single', 'System.Single', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Int32', 'System.String', 'System.Single', 'System.Int32'] | names=['isVolEIS', 'StartFreq', 'EndFreq', 'Amplitude', 'IntervalType', 'PointCount', 'Voltage', 'VoltageVSType', 'isVoltageRandAuto', 'VoltageRand', 'isCurrentRandAuto', 'currentRand', 'isVoltageFilterAuto', 'VoltageFilter', 'isCurrentFilterAuto', 'currentFilter', 'delayTime', 'dataQuality']
+version: lsv_v1
+version: lsv_v1
+start_cv_params: {'is_use_initial_potential': True, 'initial_potential': -1.0, 'initial_potential_vs_type': 0, 'top_potential1': 1.0, 'top_potential1_vs_type': 0, 'top_potential2': -2.0, 'top_potential2_vs_type': 0, 'is_use_finally_potential': True, 'finally_potential': -1.0, 'finally_potential_vs_type': 0, 'scan_rate': 0.2, 'cycle_count': 2, 'is_voltage_rand_auto': 1, 'voltage_rand': '1000', 'is_current_rand_auto': 1, 'current_rand': '1000', 'is_voltage_filter_auto': 1, 'voltage_filter': '10Hz', 'is_current_filter_auto': 1, 'current_filter': '10Hz', 'machine_id': 2}
+start_cv: {'success': True, 'return_info': 'ok', 'machine_id': 2}
+start_realtime_output_cv: {'success': True, 'running': True, 'machine_id': 2, 'file': 'D:\\Uni-Lab-OS\\Uni-Lab-OS\\unilabos\\devices\\donghua_ec\\x64release\\DHInterface\\SourceData\\2025-12-12\\循环伏安\\2号机(循环伏安(多循环)).txt'}
+result_types: [0]
+data_details: [{'cand': 0, 'len': 0, 'd3': (0, 0, 0), 'd4': (0, 0, 0, 0), 'd7': (0, 0, 0, 0, 0, 0, 0)}]
+stop_realtime_output_cv: {'success': True, 'machine_id': 2, 'file': 'D:\\Uni-Lab-OS\\Uni-Lab-OS\\unilabos\\devices\\donghua_ec\\x64release\\DHInterface\\SourceData\\2025-12-12\\循环伏安\\2号机(循环伏安(多循环)).txt'}
+export_cyclic_voltammetry: {'success': True, 'files': ['D:\\Uni-Lab-OS\\Uni-Lab-OS\\unilabos\\devices\\donghua_ec\\exports\\循环伏安\\2号机(循环伏安(多循环)).txt'], 'dest': 'D:\\Uni-Lab-OS\\Uni-Lab-OS\\unilabos\\devices\\donghua_ec\\exports\\循环伏安'}
+stop_experiment_cv: {'success': True, 'machine_id': 2}