feat(aia): Complete AIA V2.0 with universal streaming capabilities

Major Changes: - Add StreamingService with OpenAI Compatible format - Upgrade Chat component V2 with Ant Design X integration - Implement AIA module with 12 intelligent agents - Update API routes to unified /api/v1 prefix - Update system documentation Backend (~1300 lines): - common/streaming: OpenAI Compatible adapter - modules/aia: 12 agents, conversation service, streaming integration - Update route versions (RVW, PKB to v1) Frontend (~3500 lines): - modules/aia: AgentHub + ChatWorkspace (100% prototype restoration) - shared/Chat: AIStreamChat, ThinkingBlock, useAIStream Hook - Update API endpoints to v1 Documentation: - AIA module status guide - Universal capabilities catalog - System overview updates - All module documentation sync Tested: Stream response verified, authentication working Status: AIA V2.0 core completed (85%)
2026-01-14 19:15:01 +08:00
parent 3d35e9c58b
commit 1b53ab9d52
386 changed files with 52096 additions and 65238 deletions
--- a/docs/03-业务模块/DC-数据清洗整理/04-开发计划/工具C_方案B实施总结_2025-12-09.md
+++ b/docs/03-业务模块/DC-数据清洗整理/04-开发计划/工具C_方案B实施总结_2025-12-09.md
@@ -10,7 +10,7 @@

 ### <20>笔<EFBFBD><E7AC94>桅<EFBFBD>

-用户上传的Excel文件表头包含特殊字符，导致计算列功能失败：
+<EFBFBD>冽<EFBFBD>銝𠹺<EFBFBD><EFBFBD><EFBFBD>xcel<EFBFBD><EFBFBD>辣銵典仍<EFBFBD><EFBFBD>鉄<EFBFBD>寞<EFBFBD>摮㛖泵嚗<EFBFBD>紡<EFBFBD>渲恣蝞堒<EFBFBD><EFBFBD>蠘<EFBFBD>憭梯揖嚗?

 **蝷箔<E89DB7>銵典仍**:
 - `雿㯄<E99BBF>嚗ɑg嚗头
@@ -30,84 +30,84 @@

 | <20>寞<EFBFBD> | <20>讛膩 | 隡条<E99AA1> | 蝻箇<E89DBB> | 霂<><E99C82> |
 |------|------|------|------|------|
-| **方案A** | 用户使用序号引用（col_0, col_1） | 技术最安全 | 用户体验差，不直观 | ⭐⭐ |
-| **方案B** | 用户使用原列名，Python负责替换 | 用户体验好，技术可靠 | 需实现替换逻辑 | ⭐⭐⭐⭐⭐ |
-| **方案C** | 前端替换列名 | 减少网络传输 | 边界识别困难，不可靠 | ⭐⭐⭐ |
+| **<EFBFBD>寞<EFBFBD>A** | <EFBFBD>冽<EFBFBD>雿輻鍂摨誩噡撘閧鍂嚗Ếol_0, col_1嚗?| <20><><EFBFBD>舀<EFBFBD>摰匧<E691B0> | <20>冽<EFBFBD>雿㯄<E99BBF>撌殷<E6928C>銝滨凒閫?| 潃鐥<E6BD83> |
+| **<EFBFBD>寞<EFBFBD>B** | <EFBFBD>冽<EFBFBD>雿輻鍂<EFBFBD>笔<EFBFBD><EFBFBD>㵪<EFBFBD>Python韐蠘提<EFBFBD>踵揢 | <20>冽<EFBFBD>雿㯄<E99BBF>憟踝<E6869F><E8B89D><EFBFBD><EFBFBD>臬虾<E887AC>?| <20><>摰䂿緵<E482BF>踵揢<E8B8B5>餉<EFBFBD> | 潃鐥<E6BD83>潃鐥<E6BD83>潃?|
+| **<EFBFBD>寞<EFBFBD>C** | <EFBFBD>滨垢<EFBFBD>踵揢<EFBFBD>堒<EFBFBD> | <20>誩<EFBFBD>蝵𤑳<E89DB5>隡㰘<E99AA1> | 颲寧<E9A2B2>霂<EFBFBD><E99C82><EFBFBD>圈𠗕嚗䔶<E59A97><E494B6>舫<EFBFBD> | 潃鐥<E6BD83>潃?|

-**最终选择**: **方案B** ✅
+**<EFBFBD><EFBFBD>蝏<EFBFBD><EFBFBD>㗇𥋘**: **<EFBFBD>寞<EFBFBD>B** <20>?

 ---

-## 🏗️ 架构设计
+## <EFBFBD><EFBFBD>儭?<3F>嗆<EFBFBD>霈曇恣

-### 数据流
+### <EFBFBD>唳旿瘚?

 ```
-用户输入公式（原列名）
-    ↓
-前端：体重（kg） / (身高（cm）/100)**2
-    ↓
-后端：获取 columnMapping
-    ↓
+<EFBFBD>冽<EFBFBD>颲枏<EFBFBD><EFBFBD>砍<EFBFBD>嚗<EFBFBD><EFBFBD><EFBFBD>堒<EFBFBD>嚗?
+    <EFBFBD>?
+<EFBFBD>滨垢嚗帋<EFBFBD><EFBFBD>㵪<EFBFBD>kg嚗?/ (頨恍<E9A0A8>嚗Ếm嚗?100)**2
+    <EFBFBD>?
+<EFBFBD>𡒊垢嚗朞繮<EFBFBD>?columnMapping
+    <EFBFBD>?
 隡𣳇<EFBFBD>垍<EFBFBD>Python: {
-  formula: "体重（kg） / (身高（cm）/100)**2",
+  formula: "雿㯄<EFBFBD>嚗ɑg嚗?/ (頨恍<E9A0A8>嚗Ếm嚗?100)**2",
  column_mapping: [
-    {"originalName": "体重（kg）", "safeName": "col_0"},
-    {"originalName": "身高（cm）", "safeName": "col_1"}
+    {"originalName": "雿㯄<EFBFBD>嚗ɑg嚗?, "safeName": "col_0"},
+    {"originalName": "頨恍<EFBFBD>嚗Ếm嚗?, "safeName": "col_1"}
  ]
 }
-    ↓
+    <EFBFBD>?
 Python<EFBFBD>踵揢: col_0 / (col_1/100)**2
-    ↓
-执行计算 ✅
+    <EFBFBD>?
+<EFBFBD>扯<EFBFBD>霈∠<EFBFBD> <20>?
 ```

 ### <20>諹提<E8ABB9>鍦<EFBFBD>

-| 层级 | 职责 | 关键点 |
+| 撅<EFBFBD>漣 | <20>諹提 | <20>喲睸<E596B2>?|
 |------|------|--------|
-| **前端** | UI交互、数据收集 | 用户看到和输入原列名 |
+| **<EFBFBD>滨垢** | UI鈭支<EFBFBD><EFBFBD><EFBFBD>㺭<EFBFBD>格𤣰<EFBFBD>?| <20>冽<EFBFBD><E586BD>见<EFBFBD><E8A781>諹<EFBFBD><E8ABB9>亙<EFBFBD><E4BA99>堒<EFBFBD> |
 | **<EFBFBD>𡒊垢** | <20>瑕<EFBFBD>columnMapping<6E><67><EFBFBD><EFBFBD>垍<EFBFBD>Python | 隞燑ession<6F>瑕<EFBFBD><E79195>惩<EFBFBD> |
-| **Python** | 列名替换、公式执行 | 按长度排序、精确替换 |
+| **Python** | <EFBFBD>堒<EFBFBD><EFBFBD>踵揢<EFBFBD><EFBFBD><EFBFBD>撘𤩺<EFBFBD>銵?| <20>厰鵭摨行<E691A8>摨譌<E691A8><E8AD8C>移蝖格𤜯<E6A0BC>?|

 ---

 ## <20>凃 摰墧鴌蝏<E9B48C><E89D8F>

-### 1. 前端（ComputeDialog.tsx）
+### 1. <EFBFBD>滨垢嚗㇃omputeDialog.tsx嚗?

-**保持不变** - 已经使用原列名方式
+**靽脲<EFBFBD>銝滚<EFBFBD>** - 撌脩<EFBFBD>雿輻鍂<EFBFBD>笔<EFBFBD><EFBFBD>齿䲮撘?

 ```typescript
-// 用户点击列名标签，插入到公式框
+// <EFBFBD>冽<EFBFBD><EFBFBD>孵稬<EFBFBD>堒<EFBFBD><EFBFBD><EFBFBD>倌嚗峕<EFBFBD><EFBFBD>亙<EFBFBD><EFBFBD>砍<EFBFBD>獢?
 <Tag onClick={() => setFormula(formula + col.name)}>
-  {col.name}  {/* 显示原列名：体重（kg） */}
+  {col.name}  {/* <EFBFBD>曄內<EFBFBD>笔<EFBFBD><EFBFBD>㵪<EFBFBD>雿㯄<EFBFBD>嚗ɑg嚗?*/}
 </Tag>

 // <20>𣂷漱<F0A382B7>嗥凒<E597A5>乩<EFBFBD><E4B9A9>鍦<EFBFBD><E98DA6>砍<EFBFBD>
 onApply({
  newColumnName: "BMI",
-  formula: "体重（kg） / (身高（cm）/100)**2",  // 原列名
+  formula: "雿㯄<EFBFBD>嚗ɑg嚗?/ (頨恍<E9A0A8>嚗Ếm嚗?100)**2",  // <EFBFBD>笔<EFBFBD><EFBFBD>?
 });
 ```

-### 2. 后端（QuickActionController.ts）
+### 2. <EFBFBD>𡒊垢嚗㇋uickActionController.ts嚗?

 **靽格㺿**: <20>瑕<EFBFBD>session撟嗡<E6929F><E597A1>𠸍olumnMapping

 ```typescript
-// 获取session（包含columnMapping）
+// <EFBFBD>瑕<EFBFBD>session嚗<EFBFBD><EFBFBD><EFBFBD>剃olumnMapping嚗?
 session = await sessionService.getSession(sessionId);

 // 隡𣳇<E99AA1>垍<EFBFBD>QuickActionService
 executeResult = await quickActionService.executeCompute(
  fullData, 
  params, 
-  session.columnMapping  // ✅ 传递映射
+  session.columnMapping  // <EFBFBD>?隡𣳇<E99AA1>埝<EFBFBD>撠?
 );
 ```

-### 3. 后端（QuickActionService.ts）
+### 3. <EFBFBD>𡒊垢嚗㇋uickActionService.ts嚗?

 **靽格㺿**: <20>交𤣰撟嗡<E6929F><E597A1>𠸍olumnMapping蝏筢ython

@@ -115,20 +115,20 @@ executeResult = await quickActionService.executeCompute(
 async executeCompute(
  data: any[], 
  params: ComputeParams, 
-  columnMapping?: any[]  // ✅ 新增参数
+  columnMapping?: any[]  // <EFBFBD>?<3F>啣<EFBFBD><E595A3><EFBFBD>㺭
 ): Promise<OperationResult> {
  const response = await axios.post(`${PYTHON_SERVICE_URL}/api/operations/compute`, {
    data,
    new_column_name: params.newColumnName,
    formula: params.formula,
-    column_mapping: columnMapping || [],  // ✅ 传递映射
+    column_mapping: columnMapping || [],  // <EFBFBD>?隡𣳇<E99AA1>埝<EFBFBD>撠?
  });
  
  return response.data;
 }
 ```

-### 4. Python（main.py）
+### 4. Python嚗éain.py嚗?

 **靽格㺿**: <20>湔鰵霂瑟<E99C82>璅∪<E79285>

@@ -137,7 +137,7 @@ class ComputeRequest(BaseModel):
    data: List[Dict[str, Any]]
    new_column_name: str
    formula: str
-    column_mapping: List[Dict[str, str]] = []  # ✅ 新增字段
+    column_mapping: List[Dict[str, str]] = []  # <EFBFBD>?<3F>啣<EFBFBD>摮埈挾

@app.post("/api/operations/compute")
 async def operation_compute(request: ComputeRequest):
@@ -145,11 +145,11 @@ async def operation_compute(request: ComputeRequest):
        df,
        request.new_column_name,
        request.formula,
-        request.column_mapping  # ✅ 传递映射
+        request.column_mapping  # <EFBFBD>?隡𣳇<E99AA1>埝<EFBFBD>撠?
    )
 ```

-### 5. Python（compute.py）
+### 5. Python嚗Ếompute.py嚗?

 **<EFBFBD>詨<EFBFBD>摰䂿緵**: <20>堒<EFBFBD><E5A092>踵揢<E8B8B5>餉<EFBFBD>

@@ -159,19 +159,19 @@ def replace_column_names_in_formula(
    column_mapping: List[Dict[str, str]]
 ) -> str:
    """
-    ✅ 核心算法：可靠的列名替换
+    <EFBFBD>?<3F>詨<EFBFBD>蝞埈<E89D9E>嚗𡁜虾<F0A1819C>删<EFBFBD><E588A0>堒<EFBFBD><E5A092>踵揢
    """
    safe_formula = formula
    
    # <20>喲睸1嚗𡁏<E59A97><F0A1818F>堒<EFBFBD><E5A092>踹漲<E8B8B9>鍦<EFBFBD><E98DA6>鍦<EFBFBD>
-    # 避免子串问题：先替换"高血压病史"，再替换"高血压"
+    # <EFBFBD>踹<EFBFBD>摮𣂷葡<EFBFBD>桅<EFBFBD>嚗𡁜<EFBFBD><EFBFBD>踵揢"擃䁅<E69383><E48185>讠<EFBFBD><E8AEA0>?嚗<><E59A97><EFBFBD>踵揢"擃䁅<E69383><E48185>?
    sorted_mapping = sorted(
        column_mapping,
        key=lambda x: len(x['originalName']),
        reverse=True
    )
    
-    # 关键2：逐个精确替换（不使用正则）
+    # <EFBFBD>喲睸2嚗𡁻<EFBFBD>𣂷葵蝎曄＆<EFBFBD>踵揢嚗<EFBFBD><EFBFBD>雿輻鍂甇<EFBFBD><EFBFBD>嚗?
    for item in sorted_mapping:
        original = item['originalName']
        safe = item['safeName']
@@ -188,7 +188,7 @@ def compute_column(
    column_mapping: Optional[List[Dict[str, str]]] = None
 ) -> pd.DataFrame:
    """
-    ✅ 方案B：Python负责替换
+    <EFBFBD>?<3F>寞<EFBFBD>B嚗䥪ython韐蠘提<E8A098>踵揢
    """
    # 1. <20>踵揢<E8B8B5>堒<EFBFBD>
    if column_mapping:
@@ -202,7 +202,7 @@ def compute_column(
        env[item['safeName']] = df[item['originalName']]
    env.update(ALLOWED_FUNCTIONS)
    
-    # 3. 执行（不需要字符验证！）
+    # 3. <EFBFBD>扯<EFBFBD>嚗<EFBFBD><EFBFBD><EFBFBD><EFBFBD>閬<EFBFBD><EFBFBD>蝚阡<EFBFBD>霂<EFBFBD><EFBFBD>嚗?
    result = eval(safe_formula, {"__builtins__": {}}, env)
    
    return df.assign(**{new_column_name: result})
@@ -210,64 +210,64 @@ def compute_column(

 ---

-## ✅ 解决的问题
+## <EFBFBD>?閫<><E996AB><EFBFBD><EFBFBD>䔮憸?

-### 1. 特殊字符问题 ✅
+### 1. <EFBFBD>寞<EFBFBD>摮㛖泵<EFBFBD>桅<EFBFBD> <20>?
 - **<2A>桅<EFBFBD>**: `雿㯄<E99BBF>嚗ɑg嚗头 <20><>鉄銝剜<E98A9D><E5899C>砍噡
- **解决**: Python使用安全列名 `col_0`，不受特殊字符影响
+- **閫<EFBFBD><EFBFBD>**: Python雿輻鍂摰匧<EFBFBD><EFBFBD>堒<EFBFBD> `col_0`嚗䔶<EFBFBD><EFBFBD>㛖鸌畾𠰴<EFBFBD>蝚血蔣<EFBFBD>?

-### 2. 子串包含问题 ✅
- **问题**: "高血压" 和 "高血压病史" 可能误替换
- **解决**: 按长度倒序排序，先替换长列名
+### 2. 摮𣂷葡<EFBFBD><EFBFBD>鉄<EFBFBD>桅<EFBFBD> <20>?
+- **<EFBFBD>桅<EFBFBD>**: "擃䁅<EFBFBD><EFBFBD>? <20>?"擃䁅<E69383><E48185>讠<EFBFBD><E8AEA0>? <20>航<EFBFBD>霂舀𤜯<E88880>?
+- **閫<EFBFBD><EFBFBD>**: <EFBFBD>厰鵭摨血<EFBFBD>鍦<EFBFBD><EFBFBD>鍦<EFBFBD>嚗<EFBFBD><EFBFBD><EFBFBD>踵揢<EFBFBD>踹<EFBFBD><EFBFBD>?

-### 3. 边界识别问题 ✅
+### 3. 颲寧<EFBFBD>霂<EFBFBD><EFBFBD><EFBFBD>桅<EFBFBD> <20>?
 - **<2A>桅<EFBFBD>**: 甇<><E79487>`\b`撖嫣葉<EFBFBD><EFBFBD><EFBFBD>蝚虫<EFBFBD><EFBFBD>舫<EFBFBD>
- **解决**: 使用Python字符串`replace`，简单可靠
+- **閫<EFBFBD><EFBFBD>**: 雿輻鍂Python摮㛖泵銝深replace`嚗𣬚<EFBFBD><EFBFBD>訫虾<EFBFBD>?

-### 4. 字符白名单问题 ✅
+### 4. 摮㛖泵<EFBFBD>賢<EFBFBD><EFBFBD>閖䔮憸?<3F>?
 - **<2A>桅<EFBFBD>**: <20><>閬<EFBFBD><E996AC>銝暹<E98A9D><E69AB9>匧<EFBFBD>霈貊<E99C88>摮㛖泵
- **解决**: 不需要验证！Python只处理安全列名
+- **閫<EFBFBD><EFBFBD>**: 銝漤<EFBFBD>閬<EFBFBD><EFBFBD>霂<EFBFBD><EFBFBD>Python<EFBFBD>芸<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>典<EFBFBD><EFBFBD>?

 ---

 ## <20>妒 瘚贝<E7989A><E8B49D>其<EFBFBD>

-### 测试1：基本功能
+### 瘚贝<EFBFBD>1嚗𡁜抅<EFBFBD>砍<EFBFBD><EFBFBD>?
 ```python
 column_mapping = [
-    {"originalName": "体重（kg）", "safeName": "col_0"},
-    {"originalName": "身高（cm）", "safeName": "col_1"}
+    {"originalName": "雿㯄<EFBFBD>嚗ɑg嚗?, "safeName": "col_0"},
+    {"originalName": "頨恍<EFBFBD>嚗Ếm嚗?, "safeName": "col_1"}
 ]
-formula = "体重（kg） / (身高（cm）/100)**2"
-# 预期: col_0 / (col_1/100)**2 ✅
+formula = "雿㯄<EFBFBD>嚗ɑg嚗?/ (頨恍<E9A0A8>嚗Ếm嚗?100)**2"
+# 憸<EFBFBD><EFBFBD>: col_0 / (col_1/100)**2 <EFBFBD>?
 ```

-### 测试2：子串包含
+### 瘚贝<EFBFBD>2嚗𡁜<EFBFBD>銝脣<EFBFBD><EFBFBD>?
 ```python
 column_mapping = [
-    {"originalName": "高血压", "safeName": "col_0"},
-    {"originalName": "高血压病史", "safeName": "col_1"}
+    {"originalName": "擃䁅<EFBFBD><EFBFBD>?, "safeName": "col_0"},
+    {"originalName": "擃䁅<EFBFBD><EFBFBD>讠<EFBFBD><EFBFBD>?, "safeName": "col_1"}
 ]
-formula = "高血压病史 + 高血压"
+formula = "擃䁅<EFBFBD><EFBFBD>讠<EFBFBD><EFBFBD>?+ 擃䁅<E69383><E48185>?
 # 憸<><E686B8>: col_1 + col_0 <20><><EFBFBD><EFBFBD>牐蛹<E78990>厰鵭摨行<E691A8>摨𧶏<E691A8>
 ```

-### 测试3：复杂特殊字符
+### 瘚贝<EFBFBD>3嚗𡁜<EFBFBD><EFBFBD><EFBFBD>鸌畾𠰴<EFBFBD>蝚?
 ```python
 column_mapping = [
-    {"originalName": "1.高血压病（无=0，有=1，不知道=2）", "safeName": "col_0"}
+    {"originalName": "1.擃䁅<EFBFBD><EFBFBD>讠<EFBFBD>嚗<EFBFBD><EFBFBD>=0嚗峕<E59A97>=1嚗䔶<E59A97><E494B6>仿<EFBFBD>=2嚗?, "safeName": "col_0"}
 ]
-formula = "1.高血压病（无=0，有=1，不知道=2） * 2"
-# 预期: col_0 * 2 ✅
+formula = "1.擃䁅<EFBFBD><EFBFBD>讠<EFBFBD>嚗<EFBFBD><EFBFBD>=0嚗峕<E59A97>=1嚗䔶<E59A97><E494B6>仿<EFBFBD>=2嚗?* 2"
+# 憸<EFBFBD><EFBFBD>: col_0 * 2 <EFBFBD>?
 ```

-### 测试4：嵌套括号
+### 瘚贝<EFBFBD>4嚗𡁜<EFBFBD>憟埈𡠺<EFBFBD>?
 ```python
 column_mapping = [
-    {"originalName": "FMA总分（0-100）", "safeName": "col_0"}
+    {"originalName": "FMA<EFBFBD>餃<EFBFBD>嚗?-100嚗?, "safeName": "col_0"}
 ]
-formula = "FMA总分（0-100） / 100"
-# 预期: col_0 / 100 ✅
+formula = "FMA<EFBFBD>餃<EFBFBD>嚗?-100嚗?/ 100"
+# 憸<EFBFBD><EFBFBD>: col_0 / 100 <EFBFBD>?
 ```

 ---
@@ -276,41 +276,41 @@ formula = "FMA总分（0-100） / 100"

 | <20><><EFBFBD> | 敶勗<E695B6> | 霂湔<E99C82> |
 |------|------|------|
-| **网络传输** | +5KB | columnMapping约5KB（100列） |
+| **蝵𤑳<EFBFBD>隡㰘<EFBFBD>** | +5KB | columnMapping蝥?KB嚗?00<30>梹<EFBFBD> |
 | **<EFBFBD>踵揢<EFBFBD>園𡢿** | <1ms | 摮㛖泵銝脫𤜯<E884AB>ａ<EFBFBD>撣詨翰 |
-| **总体性能** | 可忽略 | 相比数据处理时间（秒级）可忽略 |
+| **<EFBFBD>颱<EFBFBD><EFBFBD>扯<EFBFBD>** | <EFBFBD>臬蕭<EFBFBD>?| <20>豢<EFBFBD><E8B1A2>唳旿憭<E697BF><E686AD><EFBFBD>園𡢿嚗<F0A1A2BF><E59A97>蝥改<E89DA5><E694B9>臬蕭<E887AC>?|

 ---

 ## <20>㴓 隡睃飵<E79D83>餌<EFBFBD>

-### 用户体验 ⭐⭐⭐⭐⭐
- ✅ 用户看到和输入原列名
- ✅ 公式直观易懂
- ✅ 历史记录清晰
+### <EFBFBD>冽<EFBFBD>雿㯄<EFBFBD> 潃鐥<E6BD83>潃鐥<E6BD83>潃?
+- <EFBFBD>?<3F>冽<EFBFBD><E586BD>见<EFBFBD><E8A781>諹<EFBFBD><E8ABB9>亙<EFBFBD><E4BA99>堒<EFBFBD>
+- <EFBFBD>?<3F>砍<EFBFBD><E7A08D>渲<EFBFBD><E6B8B2>𤘪<EFBFBD>
+- <EFBFBD>?<3F><>蟮霈啣<E99C88>皜<EFBFBD>苊

-### 技术可靠性 ⭐⭐⭐⭐⭐
- ✅ 不依赖正则边界识别
- ✅ 按长度排序避免子串问题
- ✅ Python字符串操作简单可靠
+### <EFBFBD><EFBFBD><EFBFBD>臬虾<EFBFBD>䭾<EFBFBD>?潃鐥<E6BD83>潃鐥<E6BD83>潃?
+- <EFBFBD>?銝滢<E98A9D>韏𡝗迤<F0A19D97>躰器<E8BAB0>諹<EFBFBD><E8ABB9>?
+- <EFBFBD>?<3F>厰鵭摨行<E691A8>摨誯<E691A8><E8AAAF>滚<EFBFBD>銝脤䔮憸?
+- <EFBFBD>?Python摮㛖泵銝脫<EFBFBD>雿𦦵<EFBFBD><EFBFBD>訫虾<EFBFBD>?

-### 可维护性 ⭐⭐⭐⭐⭐
- ✅ 职责清晰（前端UI、Python逻辑）
- ✅ 易于调试（可打印替换日志）
- ✅ 未来不会再有字符问题
+### <EFBFBD>舐輕<EFBFBD>斗<EFBFBD>?潃鐥<E6BD83>潃鐥<E6BD83>潃?
+- <EFBFBD>?<3F>諹提皜<E68F90>苊嚗<E88B8A><E59A97>蝡狹I<E78BB9><49>ython<6F>餉<EFBFBD>嚗?
+- <EFBFBD>?<3F>㮖<EFBFBD>靚<EFBFBD><E99D9A>嚗<EFBFBD>虾<EFBFBD>枏㫲<E69E8F>踵揢<E8B8B5>亙<EFBFBD>嚗?
+- <EFBFBD>?<3F>芣䔉銝滢<E98A9D><E6BBA2>齿<EFBFBD>摮㛖泵<E39B96>桅<EFBFBD>

 ---

 ## <20><> <20>𡒊賒撌乩<E6928C>

-### 已完成 ✅
- [x] 前端保持使用原列名
+### 撌脣<EFBFBD><EFBFBD>?<3F>?
+- [x] <EFBFBD>滨垢靽脲<EFBFBD>雿輻鍂<EFBFBD>笔<EFBFBD><EFBFBD>?
 - [x] <20>𡒊垢隡𣳇<E99AA1>𠸍olumnMapping
 - [x] Python摰䂿緵<E482BF>踵揢<E8B8B5>餉<EFBFBD>
 - [x] 蝘駁膄摮㛖泵撉諹<E69289>
 - [x] <20>湔鰵Pivot<6F>滢<EFBFBD>

-### 待测试 ⏳
+### 敺<EFBFBD><EFBFBD>霂?<3F>?
 - [ ] <20>冽<EFBFBD>摰鮋<E691B0>瘚贝<E7989A>
 - [ ] 颲寧<E9A2B2><E5AFA7><EFBFBD><EFBFBD>撉諹<E69289>
 - [ ] <20>扯<EFBFBD>瘚贝<E7989A>
@@ -324,7 +324,7 @@ formula = "FMA总分（0-100） / 100"

 ## <20><> <20>詨<EFBFBD><E8A9A8><EFBFBD>辣

-### 修改的文件
+### 靽格㺿<EFBFBD><EFBFBD><EFBFBD>隞?
 1. `backend/src/modules/dc/tool-c/controllers/QuickActionController.ts`
 2. `backend/src/modules/dc/tool-c/services/QuickActionService.ts`
 3. `extraction_service/main.py`
@@ -337,14 +337,15 @@ formula = "FMA总分（0-100） / 100"

 ---

-## ✨ 总结
+## <EFBFBD>?<3F>餌<EFBFBD>

 <EFBFBD>寞<EFBFBD>B<EFBFBD>𣂼<EFBFBD>摰䂿緵鈭<EFBFBD><EFBFBD>
 1. **<EFBFBD>冽<EFBFBD>雿㯄<EFBFBD>隡条<EFBFBD>** - 雿輻鍂<E8BCBB>笔<EFBFBD><E7AC94>㵪<EFBFBD><E3B5AA>渲<EFBFBD><E6B8B2>𤘪<EFBFBD>
-2. **技术可靠** - Python替换，简单可控
-3. **彻底解决** - 不再有特殊字符问题
+2. **<EFBFBD><EFBFBD><EFBFBD>臬虾<EFBFBD>?* - Python<6F>踵揢嚗𣬚<E59A97><F0A3AC9A>訫虾<E8A8AB>?
+3. **敶餃<EFBFBD>閫<EFBFBD><EFBFBD>** - 銝滚<EFBFBD><EFBFBD>厩鸌畾𠰴<EFBFBD>蝚阡䔮憸?
+
+**銝衤<E98A9D>甇?*: 蝑匧<E89D91><E58CA7>冽<EFBFBD>瘚贝<E7989A>撉諹<E69289> <20>?

-**下一步**: 等待用户测试验证 ✅