Files

HaHafeng 1b53ab9d52 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

67 KiB

Raw Blame History

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1.1 鏍稿績鍋囪<E98D8B>楠岃瘉

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*H4: 鎬ц兘鍙<E58598>帴鍙楋紙鍚玃ython鎵ц<E98EB5>锛?	鎬ц兘娴嬭瘯	绔<EFBFBD>埌绔?< 20绉?	浼樺寲Python鎵ц<EFBFBD>鎴栨敼鎵瑰<EFBFBD>鐞?

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1.2 MVP鍔熻兘鑼冨洿

鉁?MVP蹇呴』鏈夌殑锛圥0锛夛細

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鉁?鏁翠釜娴佺▼ < 2鍒嗛挓瀹屾垚
鉁?AI浠ｇ爜涓€娆℃€ф墽琛屾垚鍔?
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2.1 鎬讳綋鏋舵瀯锛堢畝鍖栫増锛? 鈿狅笍閲嶈<E996B2>锛氬<E9949B>鐢ㄥ钩鍙拌兘鍔?

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鈹? 鈥?DataFrame绠＄悊锛堝瓨鏁版嵁搴擄紝涓嶇敤鍐呭瓨锛?                  鈹?
鈹? 鈥?exec()浠ｇ爜鎵ц<E98EB5>                                        鈹?
鈹? 鈥?AST闈欐€佸畨鍏ㄦ<E98D8F>鏌?                                      鈹?
鈹? 鈥?JSON搴忓垪鍖栬繑鍥?                                       鈹?
鈹斺攢鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹€鈹?

鈿狅笍浜戝師鐢熸灦鏋勫己鍒惰<E98D92>姹傦細

鉁?澶嶇敤storage鏈嶅姟锛歚import { storage } from '@/common/storage'`
鉁?澶嶇敤logger鏈嶅姟锛歚import { logger } from '@/common/logging'`
鉁?澶嶇敤cache鏈嶅姟锛歚import { cache } from '@/common/cache'`
鉁?澶嶇敤LLMFactory锛歚import { LLMFactory } from '@/common/llm'`
鉁?澶嶇敤prisma瀹炰緥锛歚import { prisma } from '@/config/database'`
鉁?Session瀛樻暟鎹<EFBFBD>簱锛氫笉鐢ㄥ唴瀛楳ap锛堣繚鍙嶈<EFBFBD>鑼冿級
鉂?绂佹<EFBFBD>鏈<EFBFBD>湴鏂囦欢瀛樺偍锛欵xcel鐩存帴浠庡唴瀛樿В鏋?
鉂?绂佹<EFBFBD>鏂板缓Prisma瀹炰緥锛氫娇鐢ㄥ叏灞€瀹炰緥

*鍏抽敭鍐崇瓥锛?

鉁?涓嶇敤Apache Arrow锛欽SON澶熷揩锛?00琛?鈮?20KB锛?
鉁?Session瀛樻暟鎹<EFBFBD>簱锛氱<EFBFBD>鍚堜簯鍘熺敓瑙勮寖锛屾敮鎸佸<EFBFBD>瀹炰緥
鉁?涓嶅仛鎾ら攢锛氳妭鐪佸紑鍙戞椂闂达紝鐢ㄦ埛閲嶆柊涓婁紶鍗冲彲
鉁?**涓嶄繚鐣欐牱寮?*锛氱洿鎺ョ敓鎴愭柊Excel

2.2 鎶€鏈<E282AC>爤閫夊瀷锛堚渽澶嶇敤鐜版湁鎶€鏈<E282AC>爤锛?

鍓嶇<EFBFBD>锛坒rontend-v2锛?

{
  "framework": "React 19 + TypeScript 5 (宸叉湁)",
  "table": "AG Grid Community (鍏嶈垂鐗?",
  "ui": "Ant Design 5 (宸叉湁)",
  "state": "React Query v5 (宸叉湁)",
  "http": "axios (宸叉湁)",
  "routing": "React Router DOM v6 (宸叉湁)"
}

Node.js鍚庣<E98D9A>锛坆ackend锛?

{
  "framework": "Fastify v4 (宸叉湁)",
  "llm": "鉁?澶嶇敤 LLMFactory (骞冲彴閫氱敤鑳藉姏灞?",
  "storage": "鉁?澶嶇敤 storage鏈嶅姟 (骞冲彴鍩虹<E98DA9>灞?",
  "logging": "鉁?澶嶇敤 logger鏈嶅姟 (骞冲彴鍩虹<E98DA9>灞?",
  "cache": "鉁?澶嶇敤 cache鏈嶅姟 (骞冲彴鍩虹<E98DA9>灞?",
  "database": "鉁?澶嶇敤 prisma鍏ㄥ眬瀹炰緥 (骞冲彴鍩虹<E98DA9>灞?",
  "session": "鉁?PostgreSQL (dc_tool_c_sessions琛?",
  "excel": "xlsx 搴擄紙鍐呭瓨瑙ｆ瀽锛?,
  "validation": "Joi"
}

Python寰<EFBFBD>湇鍔★紙鈿狅笍鏍稿績鍔熻兘锛屾墿灞曠幇鏈夋湇鍔★級猸愨瓙猸愨瓙猸?

鍐崇瓥锛氣渽 绯荤粺宸叉湁Python寰<EFBFBD>湇鍔★紙FastAPI锛夛紝闇€鎵╁睍浠ｇ爜鎵ц<EFBFBD>鍔熻兘

馃摝鐜版湁Python鏈嶅姟锛堝凡瀹屾垚锛夛細

鉁?extraction_service锛欶astAPI + PyMuPDF + Pandas + openpyxl
鉁?绔<EFBFBD>彛锛?000锛堝凡杩愯<E69DA9>锛?
鉁?鍔熻兘锛歅DF/Docx/Txt鏂囨。鎻愬彇銆佽<E98A86>瑷€妫€娴?
鉁?闆嗘垚锛歂ode.js閫氳繃ExtractionClient璋冪敤
鉁?渚濊禆锛歅andas銆乷penpyxl銆乧hardet銆乴angdetect锛堝凡瀹夎<EFBFBD>锛?

馃敡宸ュ叿C闇€瑕佺殑鏂板姛鑳斤細

鍔熻兘	鐜版湁鏈嶅姟	闇€姹?	鏂规<EFBFBD>
Pandas浠ｇ爜鎵ц<EFBFBD>	鉂?涓嶆敮鎸?	鉁?鏍稿績	鏂板<EFBFBD>API绔<EFBFBD>偣 `/api/dc/execute`
Excel涓婁紶	鉂?涓嶆敮鎸?	鉁?闇€瑕?	澶嶇敤MultiPart涓婁紶
DataFrame绠＄悊	鉂?涓嶆敮鎸?	鉁?浼氳瘽	鏂板<EFBFBD>Session绠＄悊
*AST浠ｇ爜妫€鏌?	鉂?涓嶆敮鎸?	鉁?蹇呴』	鏂板<EFBFBD>AST妯″潡
Excel瀵煎嚭	鉂?涓嶆敮鎸?	鉁?闇€瑕?	浣跨敤openpyxl锛堝凡瀹夎<EFBFBD>锛?

鈿狅笍涓嶉渶瑕侀噸澶嶅紑鍙戯細

鉂?涓嶉渶瑕佹柊寤篜ython椤圭洰
鉂?涓嶉渶瑕侀噸鏂板畨瑁匬andas/openpyxl锛堝凡瀹夎<E780B9>锛?
鉂?涓嶉渶瑕侀噸鏂伴厤缃瓼astAPI锛堝凡杩愯<E69DA9>锛?
鉂?涓嶉渶瑕侀噸鏂板啓Node.js璋冪敤閫昏緫锛圗xtractionClient宸插瓨鍦<E793A8>級

*鉁?MVP鎵╁睍鏂规<E98F82>锛?

# extraction_service/services/dc_executor.py锛堟柊澧烇級
import pandas as pd
import ast
from typing import Dict, Any

def validate_code(code: str) -> Dict[str, Any]:
    """AST闈欐€佹<E282AC>鏌ワ紙瀹夊叏楠岃瘉锛?""
    try:
        tree = ast.parse(code)
        # 绂佹<E7BB82>import os銆乻ys銆乻ubprocess绛?
        for node in ast.walk(tree):
            if isinstance(node, ast.Import):
                for alias in node.names:
                    if alias.name in ['os', 'sys', 'subprocess', 'socket']:
                        return {'valid': False, 'error': f'绂佹<E7BB82>瀵煎叆{alias.name}'}
        return {'valid': True}
    except Exception as e:
        return {'valid': False, 'error': str(e)}

def execute_pandas_code(data: list, code: str) -> Dict[str, Any]:
    """鎵ц<EFBFBD>Pandas浠ｇ爜锛堚瓙鏍稿績鍔熻兘锛?""
    try:
        # 1. 瀹夊叏妫€鏌?
        validation = validate_code(code)
        if not validation['valid']:
            return {'success': False, 'error': validation['error']}
        
        # 2. 鍔犺浇鏁版嵁
        df = pd.DataFrame(data)
        
        # 3. 鎵ц<E98EB5>浠ｇ爜锛堟敞鍏<E6959E>f鍜宲d锛?
        exec(code, {'df': df, 'pd': pd})
        
        # 4. 杩斿洖缁撴灉锛堝墠100琛岋級
        return {
            'success': True,
            'data': df.head(100).to_dict('records'),
            'totalRows': len(df),
            'totalCols': len(df.columns),
            'columns': df.columns.tolist()
        }
    except Exception as e:
        return {'success': False, 'error': str(e)}

# extraction_service/main.py锛堟墿灞曪級
from services.dc_executor import execute_pandas_code, validate_code

@app.post("/api/dc/execute")
async def execute_code(
    data: List[Dict],
    code: str
):
    """宸ュ叿C锛氭墽琛孭andas浠ｇ爜"""
    result = execute_pandas_code(data, code)
    return JSONResponse(result)

@app.post("/api/dc/validate")
async def validate_code_endpoint(code: str):
    """宸ュ叿C锛欰ST浠ｇ爜妫€鏌?""
    result = validate_code(code)
    return JSONResponse(result)

鉁?Node.js璋冪敤锛堝<E9949B>鐢‥xtractionClient妯″紡锛夛細

// backend/src/modules/dc/tool-c/services/PythonExecutorService.ts
import axios from 'axios';

const EXTRACTION_SERVICE_URL = process.env.EXTRACTION_SERVICE_URL || 'http://localhost:8000';

export class PythonExecutorService {
  async executeCode(data: any[], code: string) {
    const response = await axios.post(`${EXTRACTION_SERVICE_URL}/api/dc/execute`, {
      data,
      code
    });
    return response.data;
  }
}

2.3 鏁版嵁娴佽<E5A8B4>璁?

*浼氳瘽鐢熷懡鍛ㄦ湡锛?

# 1. 鐢ㄦ埛涓婁紶鏂囦欢
POST /api/tool-c/session/init
{
  file: File,
  userId: string
}

# Node.js: 杞<>彂鍒癙ython
# Python: 
#   - 璇诲彇Excel 鈫?DataFrame
#   - 瀛樺叆鍐呭瓨锛歴essions[sessionId] = df
#   - 杩斿洖锛歴essionId + 鏁版嵁姒傝<E5A792>

# 2. 鐢ㄦ埛鍙戦€丄I鎸囦护
POST /api/tool-c/ai/execute
{
  sessionId: string,
  prompt: string
}

# Node.js:
#   - 鏋勫缓System Prompt锛堝寘鍚<E5AF98>暟鎹<E69A9F>笂涓嬫枃锛?
#   - 璋冪敤LLM鐢熸垚浠ｇ爜
#   - 杞<>彂浠ｇ爜鍒癙ython

# Python:
#   - AST妫€鏌?
#   - exec(code)淇<>敼df
#   - 杩斿洖鍓?00琛孞SON

# 3. 鐢ㄦ埛瀵煎嚭
GET /api/tool-c/session/export/{sessionId}

# Python:
#   - df.to_excel(buffer)
#   - 杩斿洖浜岃繘鍒舵祦

涓夈€佸姛鑳戒紭鍏堢骇鐭╅樀

3.1 P0绾э細蹇呴』寮€鍙戯紙鏍稿績闂<E7B8BE>幆锛夆瓙猸愨瓙猸愨瓙

ID	鍔熻兘	鎻忚堪	楠岃瘉鐩<EFBFBD>爣	宸ユ椂	璐熻矗浜?
P0-001	鏂囦欢涓婁紶	鍓嶇<EFBFBD>Upload缁勪欢 + 10MB闄愬埗	鑳藉惁瑙ｆ瀽Excel	0.5澶?	鍓嶇<EFBFBD>
P0-002	Session鍒濆<EFBFBD>鍖?	鍚庣<EFBFBD>鎺ユ敹鏂囦欢锛孭ython鍔犺浇DataFrame	涓<EFBFBD>枃鍒楀悕銆丟BK缂栫爜	1澶?	鍚庣<EFBFBD>
P0-003	琛ㄦ牸灞曠ず	AG Grid灞曠ず100琛屾暟鎹?	鍒楃被鍨嬭瘑鍒<EFBFBD>€佺┖鍊奸珮浜?	1澶?	鍓嶇<EFBFBD>
P0-004	AI瀵硅瘽UI	鍙充晶渚ц竟鏍忥紝娑堟伅鍒楄〃	鑱婂ぉ浜や簰娴佺晠	0.5澶?	鍓嶇<EFBFBD>
P0-005	System Prompt鏋勫缓	鍖呭惈鏁版嵁涓婁笅鏂囩殑Prompt	AI鑳界悊瑙ｆ暟鎹<EFBFBD>粨鏋?	1澶?	鍚庣<EFBFBD>
P0-006	AI浠ｇ爜鐢熸垚	璋冪敤DeepSeek-V3鐢熸垚Pandas浠ｇ爜	鎴愬姛鐜?80%	2澶?	鍚庣<EFBFBD>
P0-007	AST瀹夊叏妫€鏌?	鎷︽埅鍗遍櫓浠ｇ爜	`import os`琚<EFBFBD>嫤鎴?	1澶?	Python
P0-008	浠ｇ爜鎵ц<EFBFBD>	exec()鍦ㄦ矙绠变腑杩愯<E69DA9>浠ｇ爜	淇<EFBFBD>敼DataFrame鎴愬姛	1澶?	Python
P0-009	棰勬搷浣滃崱鐗?	灞曠ず浠ｇ爜锛岀敤鎴风‘璁ゅ悗鎵ц<EFBFBD>	鐢ㄦ埛鑳界湅鎳備唬鐮佹剰鍥?	0.5澶?	鍓嶇<EFBFBD>
P0-010	琛ㄦ牸鍒锋柊	鎵ц<EFBFBD>鍚庤嚜鍔ㄦ媺鍙栨柊鏁版嵁	鍓嶇<EFBFBD>瀹炴椂鏇存柊	0.5澶?	鍓嶇<EFBFBD>
P0-011	UI閿佸畾鏈哄埗	AI澶勭悊鏃惰〃鏍煎彉鐏?閬<>僵	鐗╃悊绂佹<EFBFBD>骞跺彂鎿嶄綔	0.5澶?	鍓嶇<EFBFBD>
P0-012	瀵煎嚭Excel	涓嬭浇澶勭悊鍚庣殑鏂囦欢	鏂囦欢瀹屾暣鎬?	1澶?	Python

*P0灏忚<EFBFBD>锛?1.5澶?

3.2 P1绾э細蹇呴』楠岃瘉锛屽彲绠€鍖栧疄鐜?猸愨瓙猸愨瓙

ID	鍔熻兘	MVP绠€鍖栨柟妗?	瀹屾暣鐗?	宸ユ椂
P1-001	浼氳瘽绠＄悊	杩涚▼鍐呭瓨Map锛堝崟瀹炰緥锛?	Redis鍒嗗竷寮?	0.5澶?
P1-002	蹇冭烦淇濇椿	鍥哄畾10鍒嗛挓杩囨湡锛屼笉缁<EFBFBD>湡	鍓嶇<EFBFBD>蹇冭烦缁<EFBFBD>湡	0.5澶?
P1-003	缂栫爜妫€娴?	chardet鑷<EFBFBD>姩妫€娴?鍙嬪ソ鎶ラ敊	鑷<EFBFBD>姩杞<EFBFBD>崲	1澶?
P1-004	AI鑷<EFBFBD>垜淇<EFBFBD><EFBFBD>	澶辫触鍚庨噸璇?娆?	澶氭<EFBFBD>閲嶈瘯+瀛︿範	1澶?
P1-005	蹇<EFBFBD>嵎妯℃澘	3涓<EFBFBD>父鐢ㄦā鏉匡紙骞撮緞鍒嗙粍绛夛級	10+妯℃澘搴?	0.5澶?

*P1灏忚<EFBFBD>锛?.5澶?

3.3 P2绾э細寤跺悗鎴栦笉鍋?猸愨瓙

鍔熻兘	寤跺悗鍘熷洜	浣曟椂鍋?
鎵嬪姩缂栬緫鍗曞厓鏍?	MVP涓撴敞AI	P2闃舵<EFBFBD>
鎾ら攢/鍥炴粴	鑺傜渷鍐呭瓨	P2闃舵<EFBFBD>
Apache Arrow	JSON澶熺敤	鎬ц兘涓嶈揪鏍囨椂
Redis鍒嗗竷寮?	鍗曞疄渚嬪<EFBFBD>鐢?	妯<EFBFBD>悜鎵╁睍鏃?
鏍峰紡淇濈暀	澶嶆潅搴﹂珮	P3闃舵<EFBFBD>
鎿嶄綔瀹¤<EFBFBD>	闈炴牳蹇?	P3闃舵<EFBFBD>
澶歋heet鏀<EFBFBD>寔	绠€鍖栭€昏緫	P3闃舵<EFBFBD>

鍥涖€?鍛ㄨ<E98D9B>缁嗗紑鍙戣<E98D99>鍒?

Week 1锛氬熀纭€鏋舵瀯鎼<E780AF>缓锛?澶╋級

Day 1锛氱幆澧冩惌寤?+ 浠ｇ爜缁撴瀯锛堚殸锔?鍙傝€僼ool-b缁撴瀯 + Python鐜<6E><E9909C>锛?

*浠诲姟娓呭崟锛?

鍒涘缓椤圭洰鐩<EFBFBD>綍缁撴瀯锛?*鍙傝€僼ool-b**锛?

backend/src/modules/dc/tool-c/           鈫?涓荤洰褰?
鈹溾攢鈹€ services/                             鈫?涓氬姟閫昏緫灞?
鈹?  鈹溾攢鈹€ SessionService.ts                 鈫?Session绠＄悊锛堝瓨鏁版嵁搴擄級
鈹?  鈹溾攢鈹€ AICodeService.ts                  鈫?AI浠ｇ爜鐢熸垚
鈹?  鈹溾攢鈹€ PythonExecutorService.ts          鈫?猸?Python浠ｇ爜鎵ц<E98EB5>锛堟牳蹇冿級
鈹?  鈹斺攢鈹€ DataProcessService.ts             鈫?鏁版嵁澶勭悊閫昏緫
鈹溾攢鈹€ controllers/                          鈫?鎺у埗鍣ㄥ眰
鈹?  鈹斺攢鈹€ ToolCController.ts                鈫?HTTP璇锋眰澶勭悊
鈹溾攢鈹€ routes/                               鈫?璺<>敱灞?
鈹?  鈹斺攢鈹€ index.ts                          鈫?璺<>敱瀹氫箟
鈹斺攢鈹€ utils/                                鈫?宸ュ叿鍑芥暟
    鈹溾攢鈹€ codeValidator.ts                  鈫?AST浠ｇ爜妫€鏌?
    鈹斺攢鈹€ pythonScripts/                    鈫?猸?Python鎵ц<E98EB5>鑴氭湰
        鈹斺攢鈹€ executor.py                   鈫?Pandas浠ｇ爜鎵ц<E98EB5>鍣?

frontend-v2/src/modules/dc/pages/tool-c/  鈫?鍓嶇<E98D93>锛堝凡瀛樺湪锛?

猸?鎵╁睍鐜版湁Python鏈嶅姟锛堟牳蹇冨姛鑳斤級

# 绯荤粺宸叉湁Python寰<6E>湇鍔★紙extraction_service锛夛紝鍙<E7B49D>渶鎵╁睍鍔熻兘
cd extraction_service

# 1. 鍒涘缓DC鎵ц<E98EB5>鍣ㄦā鍧?
cat > services/dc_executor.py << 'EOF'
import pandas as pd
import ast
from typing import Dict, Any, List

def validate_code(code: str) -> Dict[str, Any]:
    """AST闈欐€佹<E282AC>鏌ワ紙瀹夊叏楠岃瘉锛?""
    try:
        tree = ast.parse(code)
        # 绂佹<E7BB82>鍗遍櫓瀵煎叆
        forbidden_modules = ['os', 'sys', 'subprocess', 'socket', 'shutil', 'requests']
        for node in ast.walk(tree):
            if isinstance(node, ast.Import):
                for alias in node.names:
                    if alias.name in forbidden_modules:
                        return {'valid': False, 'error': f'绂佹<E7BB82>瀵煎叆{alias.name}妯″潡'}
            elif isinstance(node, ast.ImportFrom):
                if node.module in forbidden_modules:
                    return {'valid': False, 'error': f'绂佹<E7BB82>瀵煎叆{node.module}妯″潡'}
        return {'valid': True}
    except Exception as e:
        return {'valid': False, 'error': f'浠ｇ爜璇<E7889C>硶閿欒<E996BF>: {str(e)}'}

def execute_pandas_code(data: List[Dict], code: str) -> Dict[str, Any]:
    """鎵ц<E98EB5>Pandas浠ｇ爜锛堚瓙鏍稿績鍔熻兘锛?""
    try:
        # 1. 瀹夊叏妫€鏌?
        validation = validate_code(code)
        if not validation['valid']:
            return {'success': False, 'error': validation['error']}

        # 2. 鍔犺浇鏁版嵁鍒癉ataFrame
        df = pd.DataFrame(data)

        # 3. 鎵ц<E98EB5>浠ｇ爜锛堟敞鍏<E6959E>f鍜宲d锛岄殧绂荤幆澧冿級
        local_env = {'df': df, 'pd': pd}
        exec(code, {'__builtins__': {}}, local_env)

        # 4. 鑾峰彇鎵ц<E98EB5>鍚庣殑df
        df_result = local_env.get('df', df)

        # 5. 杩斿洖缁撴灉锛堝墠100琛岋紝閬垮厤鏁版嵁閲忚繃澶э級
        return {
            'success': True,
            'data': df_result.head(100).to_dict('records'),
            'totalRows': len(df_result),
            'totalCols': len(df_result.columns),
            'columns': df_result.columns.tolist()
        }
    except Exception as e:
        return {
            'success': False,
            'error': f'浠ｇ爜鎵ц<E98EB5>澶辫触: {str(e)}'
        }
EOF

# 2. 鎵╁睍main.py锛屾坊鍔燚C绔<43>偣
# 鍦╩ain.py鏈<79>熬娣诲姞锛?
cat >> main.py << 'EOF'

# ==================== DC宸ュ叿C绔<43>偣 ====================
from services.dc_executor import execute_pandas_code, validate_code
from pydantic import BaseModel

class ExecuteRequest(BaseModel):
    data: List[Dict]
    code: str

class ValidateRequest(BaseModel):
    code: str

@app.post("/api/dc/execute")
async def dc_execute_code(request: ExecuteRequest):
    """宸ュ叿C锛氭墽琛孭andas浠ｇ爜"""
    logger.info(f"DC Execute: code length={len(request.code)}, data rows={len(request.data)}")
    result = execute_pandas_code(request.data, request.code)
    return JSONResponse(result)

@app.post("/api/dc/validate")
async def dc_validate_code(request: ValidateRequest):
    """宸ュ叿C锛欰ST浠ｇ爜妫€鏌?""
    logger.info(f"DC Validate: code length={len(request.code)}")
    result = validate_code(request.code)
    return JSONResponse(result)
EOF

*Node.js璋冪敤Python鏈嶅姟锛圥ythonExecutorService锛?

// backend/src/modules/dc/tool-c/services/PythonExecutorService.ts
import axios from 'axios';
import { logger } from '@/common/logging';

const EXTRACTION_SERVICE_URL = process.env.EXTRACTION_SERVICE_URL || 'http://localhost:8000';

export interface ExecuteResult {
  success: boolean;
  data?: any[];
  totalRows?: number;
  totalCols?: number;
  columns?: string[];
  error?: string;
}

export class PythonExecutorService {
  private baseUrl: string;

  constructor() {
    this.baseUrl = EXTRACTION_SERVICE_URL;
  }

  /**
   * 鎵ц<E98EB5>Pandas浠ｇ爜锛堚瓙 鏍稿績鍔熻兘锛?
   * 澶嶇敤鐜版湁Python寰<6E>湇鍔★紝娣诲姞鏂扮<E98F82>鐐?
   */
  async executeCode(data: any[], code: string): Promise<ExecuteResult> {
    try {
      logger.info('Calling Python executor', { 
        dataRows: data.length, 
        codeLength: code.length 
      });

      const response = await axios.post<ExecuteResult>(
        `${this.baseUrl}/api/dc/execute`,
        { data, code },
        { timeout: 30000 } // 30绉掕秴鏃?
      );

      logger.info('Python execution success', { 
        totalRows: response.data.totalRows 
      });

      return response.data;
    } catch (error) {
      logger.error('Python execution failed', { error });

      if (axios.isAxiosError(error) && error.response) {
        throw new Error(error.response.data.error || 'Python execution failed');
      }

      throw new Error('鏃犳硶杩炴帴鍒癙ython鎵ц<E98EB5>鏈嶅姟');
    }
  }

  /**
   * AST浠ｇ爜妫€鏌ワ紙鎵ц<E98EB5>鍓嶉獙璇侊級
   */
  async validateCode(code: string): Promise<{ valid: boolean; error?: string }> {
    try {
      const response = await axios.post(
        `${this.baseUrl}/api/dc/validate`,
        { code },
        { timeout: 5000 }
      );

      return response.data;
    } catch (error) {
      logger.error('Code validation failed', { error });
      throw new Error('浠ｇ爜楠岃瘉澶辫触');
    }
  }
}

export const pythonExecutorService = new PythonExecutorService();

**寮哄埗妫€鏌?*锛氱‘淇濆<E6B787>鐢ㄥ钩鍙版湇鍔?

// backend/src/modules/dc/tool-c/services/SessionService.ts

// 鉁?蹇呴』瀵煎叆杩欎簺骞冲彴鏈嶅姟
import { storage } from '@/common/storage';
import { logger } from '@/common/logging';
import { cache } from '@/common/cache';
import { prisma } from '@/config/database';

// 鉂?绂佹<E7BB82>鑷<EFBFBD>繁瀹炵幇
// const sessions = new Map()  鈫?杩濆弽瑙勮寖锛?

鏁版嵁搴揝chema璁捐<EFBFBD>锛坉c_schema锛?

// prisma/schema.prisma锛堟坊鍔犲埌dc_schema锛?
model DcToolCSession {
  id            String   @id @default(uuid())
  userId        String
  sessionId     String   @unique
  fileName      String
  dataSnapshot  Json     // 瀛樺偍100琛岄<E7909B>瑙堟暟鎹?
  totalRows     Int
  totalCols     Int
  columns       Json     // 鍒椾俊鎭?
  expiresAt     DateTime // 10鍒嗛挓杩囨湡
  createdAt     DateTime @default(now())

  @@schema("dc_schema")
  @@map("dc_tool_c_sessions")
}

*楠屾敹鏍囧噯锛?

鉁?鏂囦欢澶圭粨鏋勪笌tool-b涓€鑷?
鉁?瀵煎叆浜嗘墍鏈夊繀椤荤殑骞冲彴鏈嶅姟
鉁?娌℃湁鍐呭瓨Map銆佹病鏈夋湰鍦版枃浠跺瓨鍌?

璐熻矗浜猴細 鍚庣<E98D9A>寮€鍙?

Day 2锛歋ession绠＄悊 + 鏁版嵁鍔犺浇锛堚殸锔?瀛樻暟鎹<E69A9F>簱锛屼笉鐢ㄥ唴瀛橈級

*浠诲姟娓呭崟锛?

瀹炵幇SessionService锛?*瀛樻暟鎹<E69A9F>簱锛岀<E9949B>鍚堜簯鍘熺敓瑙勮寖**锛?

// backend/src/modules/dc/tool-c/services/SessionService.ts
import { storage } from '@/common/storage';
import { logger } from '@/common/logging';
import { prisma } from '@/config/database';
import * as xlsx from 'xlsx';
import chardet from 'chardet';

export class SessionService {
  /**
   * 鍒涘缓Session锛堚渽 瀛樻暟鎹<E69A9F>簱锛屼笉鐢ㄥ唴瀛楳ap锛?
   */
  async createSession(userId: string, fileBuffer: Buffer, fileName: string): Promise<string> {
    // 1. 妫€娴嬬紪鐮?
    const detected = chardet.detect(fileBuffer);
    if (detected.encoding.toLowerCase() !== 'utf-8') {
      throw new Error(`鏂囦欢缂栫爜涓?{detected.encoding}锛岃<E9949B>杞<EFBFBD>崲涓篣TF-8`);
    }

    // 2. 鍐呭瓨瑙ｆ瀽Excel锛堚渽 浜戝師鐢燂細涓嶈惤鐩橈級
    const workbook = xlsx.read(fileBuffer, { type: 'buffer' });
    const sheet = workbook.Sheets[workbook.SheetNames[0]];
    const data = xlsx.utils.sheet_to_json(sheet);

    // 3. 鎻愬彇鍒椾俊鎭?
    const columns = Object.keys(data[0] || {}).map(col => ({
      name: col,
      type: typeof data[0][col]
    }));

    // 4. Session瀛樻暟鎹<E69A9F>簱锛堚渽 绗﹀悎浜戝師鐢熻<E990A2>鑼冿級
    const sessionId = `session_${Date.now()}_${Math.random().toString(36)}`;
    await prisma.dcToolCSession.create({
      data: {
        sessionId,
        userId,
        fileName,
        dataSnapshot: data.slice(0, 100),  // 鍙<>瓨鍓?00琛岄<E7909B>瑙?
        totalRows: data.length,
        totalCols: columns.length,
        columns,
        expiresAt: new Date(Date.now() + 10 * 60 * 1000)  // 10鍒嗛挓杩囨湡
      }
    });

    // 5. 瀹屾暣鏁版嵁涓婁紶鍒癘SS锛堚渽 浜戝師鐢燂細鎸佷箙鍖栧瓨鍌<E793A8>級
    const dataKey = `dc/tool-c/${sessionId}/full-data.json`;
    await storage.uploadBuffer(dataKey, Buffer.from(JSON.stringify(data)));

    logger.info('Session created', { sessionId, totalRows: data.length });

    return sessionId;
  }

  /**
   * 鑾峰彇Session锛堜粠鏁版嵁搴撹<E690B4>鍙栵級
   */
  async getSession(sessionId: string) {
    const session = await prisma.dcToolCSession.findUnique({
      where: { sessionId }
    });

    if (!session || new Date() > session.expiresAt) {
      throw new Error('Session宸茶繃鏈?);
    }

    return session;
  }
}

*娴嬭瘯鐢ㄤ緥锛?

涓婁紶UTF-8缂栫爜鐨凟xcel锛屾<E9949B>甯歌В鏋?
涓婁紶GBK缂栫爜鐨凟xcel锛岃<EFBFBD>鎷︽埅骞舵彁绀?
涓婁紶涓<EFBFBD>枃鍒楀悕鐨凟xcel锛屾棤涔辩爜
Session瀛樺叆鏁版嵁搴擄紝鍙<EFBFBD>煡璇?
10鍒嗛挓鍚嶴ession鑷<EFBFBD>姩杩囨湡

*楠屾敹鏍囧噯锛?

鉁?Session瀛樺偍鍦ㄦ暟鎹<E69A9F>簱锛堜笉鏄<E7AC89>唴瀛楳ap锛?
鉁?瀹屾暣鏁版嵁瀛樺偍鍦∣SS
鉁?绗﹀悎浜戝師鐢熷紑鍙戣<E98D99>鑼?

璐熻矗浜猴細 Node.js鍚庣<E98D9A>

Day 3锛歂ode.js BFF + 鏂囦欢涓婁紶

*浠诲姟娓呭崟锛?

鍒涘缓Fastify璺<EFBFBD>敱

// backend/src/modules/dc/tool-c/routes/index.ts
import { FastifyInstance } from 'fastify';

export async function registerToolCRoutes(fastify: FastifyInstance) {
  // 鏂囦欢涓婁紶
  fastify.post('/api/v1/dc/tool-c/session/init', async (req, reply) => {
    const file = await req.file();

    // 1. 鏂囦欢澶у皬妫€鏌?
    if (file.file.bytesRead > 10 * 1024 * 1024) {
      return reply.code(413).send({
        success: false,
        error: '鏂囦欢杩囧ぇ锛岃<E9949B>鍘嬬缉鍚庨噸璇曪紙闄?0MB锛?
      });
    }

    // 2. 杞<>彂鍒癙ython鏈嶅姟
    const formData = new FormData();
    formData.append('file', file.file, file.filename);

    const response = await axios.post('http://localhost:8001/api/python/init', formData);

    return {
      success: true,
      sessionId: response.data.sessionId,
      data: response.data
    };
  });
}

闆嗘垚鍒颁富搴旂敤

// backend/src/modules/dc/index.ts
import { registerToolCRoutes } from './tool-c/routes';

export async function registerDCRoutes(fastify: FastifyInstance) {
  await registerToolBRoutes(fastify);
  await registerToolCRoutes(fastify);  // 鏂板<E98F82>
}

*娴嬭瘯鐢ㄤ緥锛?

涓婁紶9MB鏂囦欢锛屾垚鍔?
涓婁紶11MB鏂囦欢锛岃<EFBFBD>鎷︽埅
骞跺彂涓婁紶2涓<EFBFBD>枃浠讹紝sessionId涓嶅啿绐?

*楠屾敹鏍囧噯锛?

鉁?Node.js鑳芥<E991B3>纭<EFBFBD>浆鍙戞枃浠跺埌Python
鉁?鏂囦欢澶у皬闄愬埗鐢熸晥

璐熻矗浜猴細 Node.js鍚庣<E98D9A>

Day 4锛氬墠绔<E5A2A0><E7BB94>鏋舵惌寤?

*浠诲姟娓呭崟锛?

鍒涘缓Tool C椤甸潰

// frontend-v2/src/modules/dc/pages/tool-c/index.tsx
import { AgGridReact } from 'ag-grid-react';
import { Upload, Spin } from 'antd';

export default function ToolCEditor() {
  const [sessionId, setSessionId] = useState<string>();
  const [data, setData] = useState<any[]>([]);
  const [columns, setColumns] = useState<any[]>([]);
  const [isLoading, setIsLoading] = useState(false);

  const handleUpload = async (file: File) => {
    setIsLoading(true);
    const formData = new FormData();
    formData.append('file', file);

    const response = await api.post('/api/v1/dc/tool-c/session/init', formData);

    setSessionId(response.data.sessionId);
    setData(response.data.data.preview);
    setColumns(response.data.data.columns);
    setIsLoading(false);
  };

  return (
    <div className="h-screen flex">
      {/* 宸︿晶锛氳〃鏍煎尯鍩?*/}
      <div className="flex-1">
        {!sessionId ? (
          <Upload beforeUpload={handleUpload}>
            <Button>涓婁紶Excel鏂囦欢锛堥檺10MB锛?/Button>
          </Upload>
        ) : (
          <AgGridReact
            rowData={data}
            columnDefs={columns.map(col => ({
              field: col.name,
              headerName: col.name
            }))}
          />
        )}
      </div>

      {/* 鍙充晶锛欰I渚ц竟鏍忥紙鍗犱綅锛?*/}
      <div className="w-96 border-l bg-white">
        <h3>AI鍔╂墜</h3>
      </div>
    </div>
  );
}

闆嗘垚AG Grid

cd frontend-v2
npm install ag-grid-react ag-grid-community

璺<EFBFBD>敱閰嶇疆

// frontend-v2/src/modules/dc/routes.tsx
{
  path: 'tool-c',
  element: <ToolCEditor />
}

*娴嬭瘯鐢ㄤ緥锛?

涓婁紶鏂囦欢锛岃〃鏍兼<EFBFBD>纭<EFBFBD>樉绀?
涓<EFBFBD>枃鍒楀悕鏄剧ず姝ｅ父
绌哄€煎崟鍏冩牸鏈夎<EFBFBD>瑙夋彁绀?

*楠屾敹鏍囧噯锛?

鉁?鐢ㄦ埛鑳界湅鍒板乏鍙冲垎鏍忕晫闈?
鉁?琛ㄦ牸鑳藉睍绀?00琛屾暟鎹?

璐熻矗浜猴細 鍓嶇<E98D93>寮€鍙?

Day 5锛歋ystem Prompt鏋勫缓

*浠诲姟娓呭崟锛?

鍒涘缓Prompt妯℃澘

// backend/src/modules/dc/tool-c/prompts/system-prompt.ts
export function buildSystemPrompt(dataContext: DataContext): string {
  return `# AI鍖荤枟鏁版嵁娓呮礂鍔╂墜 - 绯荤粺瑙掕壊

褰撳墠鏁版嵁缁撴瀯

鎬昏<EFBFBD>鏁帮細${dataContext.totalRows} 琛?
鎬诲垪鏁帮細${dataContext.totalCols} 鍒?
鍒楀悕锛?{dataContext.columns.map(c => c.name).join(', ')}

鍓?琛屾暟鎹<E69A9F>ず渚?

${JSON.stringify(dataContext.headData, null, 2)}

涓ユ牸瑙勫垯

鍙<EFBFBD>兘浣跨敤pandas鎿嶄綔锛堝凡棰勫<EFBFBD>鍏ヤ负pd锛?
鍙橀噺鍚嶅繀椤绘槸df锛堜笉瑕佺敤鍏朵粬鍚嶅瓧锛?
灏卞湴淇<EFBFBD>敼锛歞f['new'] = ... 鎴?df.drop(...)
涓嶈<EFBFBD>print()銆乨isplay()绛夎緭鍑?
绂佹<EFBFBD>import os銆乻ys銆乺equests绛?

Few-shot绀轰緥锛堝垎灞傞毦搴︼細鍩虹<E98DA9>鈫掍腑绛夆啋楂樼骇锛?

馃煝鍩虹<E98DA9>鍦烘櫙锛堝崟姝ラ<E5A79D>鎿嶄綔锛?

鍦烘櫙1锛氬勾榫勫垎缁?

鐢ㄦ埛锛?鎶婂勾榫勫ぇ浜?0鐨勬爣璁颁负鑰佸勾缁? 浠ｇ爜锛? df['age_group'] = df['age'].apply(lambda x: '鑰佸勾缁? if pd.notna(x) and x > 60 else '闈炶€佸勾缁?)

鍦烘櫙2锛氬垹闄ょ己澶?

鐢ㄦ埛锛?鍒犻櫎娌℃湁鎮ｈ€匢D鐨勮<E990A8>" 浠ｇ爜锛? df.dropna(subset=['patient_id'], inplace=True)

鍦烘櫙3锛氭€у埆缂栫爜

鐢ㄦ埛锛?鎶婃€у埆杞<E59F86>负鏁板瓧" 浠ｇ爜锛? df['gender_code'] = df['gender'].map({'鐢?: 1, '濂?: 0})

馃煛涓<>瓑鍦烘櫙锛堝<E9949B>姝ラ<E5A79D>鎴栬法鍒楅€昏緫锛?

鍦烘櫙4锛氳<EFBFBD>绠桸LR骞跺垎缁?

鐢ㄦ埛锛?璁＄畻涓<E795BB>€х矑缁嗚優娣嬪反缁嗚優姣斿€糔LR锛屽苟鎸?.5鍒嗕负楂樹綆涓ょ粍" 浠ｇ爜锛? df['NLR'] = df.apply(lambda row: row['neutrophil'] / row['lymphocyte'] if pd.notna(row['neutrophil']) and pd.notna(row['lymphocyte']) and row['lymphocyte'] > 0 else None, axis=1) df['NLR_group'] = df['NLR'].apply(lambda x: 'High' if pd.notna(x) and x > 2.5 else 'Low')

鍦烘櫙5锛氬瓧绗︿覆鎷嗗垎锛堣<EFBFBD>鍘嬶級

鐢ㄦ埛锛?鎶婅<E98EB6>鍘嬪垪鐨?120/80'鏍煎紡鎷嗗垎鎴愭敹缂╁帇鍜岃垝寮犲帇锛屽苟鍒ゆ柇鏄<E69F87>惁楂樿<E6A582>鍘? 浠ｇ爜锛? df'systolic_bp', 'diastolic_bp' = df['blood_pressure'].str.split('/', expand=True) df['systolic_bp'] = pd.to_numeric(df['systolic_bp'], errors='coerce') df['diastolic_bp'] = pd.to_numeric(df['diastolic_bp'], errors='coerce') df['is_hypertension'] = ((df['systolic_bp'] > 140) | (df['diastolic_bp'] > 90)).astype(int)

鍦烘櫙6锛氭椂闂村樊璁＄畻锛堥€昏緫楠岃瘉锛?

鐢ㄦ埛锛?璁＄畻浣忛櫌澶╂暟锛屽<E9949B>鏋滃嚭闄㈡棩鏈熸棭浜庡叆闄㈡棩鏈熷垯鏍囪<E98F8D>涓哄紓甯? 浠ｇ爜锛? df['admission_date'] = pd.to_datetime(df['admission_date'], errors='coerce') df['discharge_date'] = pd.to_datetime(df['discharge_date'], errors='coerce') df['hospital_days'] = (df['discharge_date'] - df['admission_date']).dt.days df['date_error'] = df['hospital_days'] < 0 df.loc[df['date_error'], 'hospital_days'] = None

馃敶楂樼骇鍦烘櫙锛堝垎缁勮仛鍚堛€佹椂闂村簭鍒椼€佸尰瀛﹁<E7809B>鍒欙級

鍦烘櫙7锛氱敓瀛樻椂闂磋<EFBFBD>绠楋紙澶嶆潅鏉′欢閫昏緫锛?

鐢ㄦ埛锛?鐢熸垚鐢熷瓨鐘舵€佸拰鐢熷瓨鏃堕棿锛屽<E9949B>鏋滄<E98F8B>浜℃棩鏈熷瓨鍦ㄥ垯鐘舵€佷负1锛屾椂闂翠负姝讳骸鏃ユ湡鍑忚瘖鏂<E79896>棩鏈燂紝鍚﹀垯鐘舵€佷负0锛屾椂闂翠负闅忚<E99785>鎴<EFBFBD><E98EB4>鏃ユ湡鍑忚瘖鏂<E79896>棩鏈? 浠ｇ爜锛? df['diagnosis_date'] = pd.to_datetime(df['diagnosis_date'], errors='coerce') df['death_date'] = pd.to_datetime(df['death_date'], errors='coerce') df['followup_end_date'] = pd.to_datetime(df['followup_end_date'], errors='coerce') df['vital_status'] = df['death_date'].notna().astype(int) df['survival_days'] = df.apply(lambda row: (row['death_date'] - row['diagnosis_date']).days if pd.notna(row['death_date']) else (row['followup_end_date'] - row['diagnosis_date']).days, axis=1) df['survival_months'] = (df['survival_days'] / 30.44).round(1)

鍦烘櫙8锛氬垎缁勮仛鍚堬紙棣栨湯璁板綍锛?

鐢ㄦ埛锛?瀵规瘡涓<E798A1>偅鑰呮壘鍑虹<E98D91>涓€娆″寲鐤楁棩鏈熷拰鏈€鍚庝竴娆″寲鐤楁棩鏈燂紝璁＄畻鎸佺画鏃堕棿" 浠ｇ爜锛? df['chemo_date'] = pd.to_datetime(df['chemo_date'], errors='coerce') patient_chemo = df.groupby('patient_id')['chemo_date'].agg(['min', 'max']).reset_index() patient_chemo.columns = ['patient_id', 'first_chemo', 'last_chemo'] patient_chemo['chemo_duration_days'] = (patient_chemo['last_chemo'] - patient_chemo['first_chemo']).dt.days df = df.merge(patient_chemo'patient_id', 'first_chemo', 'last_chemo', 'chemo_duration_days', on='patient_id', how='left')

鍦烘櫙9锛氭椂闂村簭鍒楀彉鍖栫巼

鐢ㄦ埛锛?鎸夋偅鑰匢D鍒嗙粍锛岃<E9949B>绠楁瘡娆￠殢璁跨浉姣斾笂娆＄殑鑲跨槫澶у皬鍙樺寲鐜? 浠ｇ爜锛? df = df.sort_values(['patient_id', 'followup_date']) df['prev_tumor_size'] = df.groupby('patient_id')['tumor_size'].shift(1) df['tumor_change_rate'] = ((df['tumor_size'] - df['prev_tumor_size']) / df['prev_tumor_size'] * 100).round(2) df['tumor_change_rate'] = df['tumor_change_rate'].fillna(0)

鍦烘櫙10锛氬尰瀛﹁<EFBFBD>鍒欏紩鎿庯紙鑲濆姛鑳藉垎绾э級

鐢ㄦ埛锛?鏍规嵁ALT銆丄ST銆丄LP銆乀BIL鍒ゆ柇鑲濆姛鑳藉垎绾? 浠ｇ爜锛? def classify_liver_function(row): abnormal_count = 0 if pd.notna(row.get('ALT')) and row['ALT'] > 40: abnormal_count += 1 if pd.notna(row.get('AST')) and row['AST'] > 40: abnormal_count += 1 if pd.notna(row.get('ALP')) and row['ALP'] > 125: abnormal_count += 1 if pd.notna(row.get('TBIL')) and row['TBIL'] > 20: abnormal_count += 1 if abnormal_count == 0: return '姝ｅ父' elif abnormal_count == 1: return '杞诲害寮傚父' elif abnormal_count == 2: return '涓<>害寮傚父' else: return '閲嶅害寮傚父' df['liver_function_grade'] = df.apply(classify_liver_function, axis=1)

鐜板湪锛岃<EFBFBD>鍑嗗<EFBFBD>濂芥帴鏀剁敤鎴风殑鎸囦护銆傝<EFBFBD>浣忥細浠ｇ爜瑕佸畨鍏ㄣ€佸彲闈犮€佹槗鎳傦紝鑳藉<EFBFBD>鐞嗕粠鍩虹<EFBFBD>鍒伴珮绾х殑澶嶆潅鍖荤枟鍦烘櫙銆? `; }

- [ ] 闆嗘垚LLMFactory锛堚渽 澶嶇敤骞冲彴閫氱敤鑳藉姏灞傦級
```typescript
// backend/src/modules/dc/tool-c/services/AICodeService.ts
import { LLMFactory } from '@/common/llm';  // 鉁?澶嶇敤骞冲彴LLM鑳藉姏
import { logger } from '@/common/logging';  // 鉁?澶嶇敤鏃ュ織

export class AICodeService {
  /**
   * 鐢熸垚Pandas浠ｇ爜锛堚渽 澶嶇敤LLMFactory锛?
   */
  async generateCode(prompt: string, dataContext: DataContext): Promise<string> {
    logger.info('Generating Pandas code', { prompt, dataContext });
    
    // 鉁?澶嶇敤骞冲彴LLM鏈嶅姟
    const llm = LLMFactory.getLLM('deepseek-v3');
    
    const systemPrompt = buildSystemPrompt(dataContext);
    
    const response = await llm.chat([
      { role: 'system', content: systemPrompt },
      { role: 'user', content: prompt }
    ]);
    
    // 鎻愬彇绾<E5BD87>唬鐮侊紙鍘婚櫎Markdown鏍煎紡锛?
    const code = this.extractCode(response.content);
    
    logger.info('Code generated successfully', { codeLength: code.length });
    
    return code;
  }
  
  /**
   * AI鑷<49>垜淇<E59E9C><E6B787>锛堝け璐ュ悗閲嶈瘯1娆★級
   */
  async fixCode(originalCode: string, errorMsg: string, dataContext: DataContext): Promise<string> {
    logger.warn('Code execution failed, attempting self-repair', { errorMsg });
    
    const llm = LLMFactory.getLLM('deepseek-v3');
    
    const fixPrompt = `浠ヤ笅浠ｇ爜鎵ц<E98EB5>澶辫触锛岃<E9949B>淇<EFBFBD><E6B787>锛?

閿欒<E996BF>淇℃伅锛?
${errorMsg}

鍘熷<E98D98>浠ｇ爜锛?
${originalCode}

鏁版嵁缁撴瀯锛?
${JSON.stringify(dataContext)}

璇风敓鎴愪慨澶嶅悗鐨勪唬鐮侊紙涓嶈<E6B693>鏈塎arkdown鏍煎紡锛夛細`;
    
    const response = await llm.chat([{ role: 'user', content: fixPrompt }]);
    
    return this.extractCode(response.content);
  }
  
  private extractCode(text: string): string {
    // 鍘婚櫎```python```鎴朻``鏍囪<E98F8D>
    const match = text.match(/```(?:python)?\n([\s\S]*?)\n```/);
    return match ? match[1] : text;
  }
}

*娴嬭瘯鐢ㄤ緥锛?

杈撳叆"骞撮緞鍒嗙粍"锛岀敓鎴愭<E98EB4>纭<EFBFBD>唬鐮?
杈撳叆"鍒犻櫎绌鸿<E7BB8C>"锛岀敓鎴愭<E98EB4>纭<EFBFBD>唬鐮?
妫€鏌ヤ唬鐮佷腑鏄<EFBFBD>惁鍖呭惈鍗遍櫓璇<EFBFBD>彞

*楠屾敹鏍囧噯锛?

鉁?AI鑳界敓鎴愬彲鎵ц<E98EB5>鐨凱andas浠ｇ爜
鉁?浠ｇ爜绗﹀悎瑙勮寖锛堟棤print銆佹棤import锛?

璐熻矗浜猴細 Node.js鍚庣<E98D9A>

Week 2锛氭牳蹇冨姛鑳藉紑鍙戯紙5澶╋級

Day 6-7锛欰I浠ｇ爜鐢熸垚 + AST妫€鏌?

*Day 6浠诲姟锛?

瀹炵幇AST闈欐€佹<EFBFBD>鏌?

# python-service/code_validator.py
import ast

DANGEROUS_IMPORTS = {'os', 'sys', 'subprocess', 'requests', 'urllib'}
DANGEROUS_BUILTINS = {'eval', 'exec', 'compile', 'open', '__import__'}

def validate_code_safety(code: str) -> Tuple[bool, str]:
    try:
        tree = ast.parse(code)

        for node in ast.walk(tree):
            # 妫€鏌<E282AC>mport
            if isinstance(node, ast.Import):
                for alias in node.names:
                    if alias.name in DANGEROUS_IMPORTS:
                        return False, f"绂佹<E7BB82>瀵煎叆锛歿alias.name}"

            # 妫€鏌ュ嚱鏁拌皟鐢?
            if isinstance(node, ast.Call):
                if isinstance(node.func, ast.Name):
                    if node.func.id in DANGEROUS_BUILTINS:
                        return False, f"绂佹<E7BB82>浣跨敤锛歿node.func.id}"

        return True, "楠岃瘉閫氳繃"
    except SyntaxError as e:
        return False, f"璇<>硶閿欒<E996BF>锛歿str(e)}"

*Day 7浠诲姟锛?

瀹炵幇AI浠ｇ爜鐢熸垚API

// Node.js
fastify.post('/api/v1/dc/tool-c/ai/generate', async (req, reply) => {
  const { sessionId, prompt } = req.body;

  // 1. 鑾峰彇鏁版嵁涓婁笅鏂?
  const context = await pythonService.getDataContext(sessionId);

  // 2. 璋冪敤AI鐢熸垚浠ｇ爜
  const code = await aiService.generateCode(prompt, context);

  return {
    success: true,
    code,
    summary: `灏嗘墽琛屼互涓嬫搷浣滐細${extractSummary(code)}`
  };
});

*娴嬭瘯鍦烘櫙锛?5涓<35>湡瀹炲尰鐤楁暟鎹<E69A9F>竻娲楀満鏅<E6BA80>級锛?

馃煝鍩虹<E98DA9>鍦烘櫙锛?涓<>級- 鍗曟<E98D97>楠ゆ搷浣滐細

"鎶婂勾榫勫ぇ浜?0鐨勬爣璁颁负鑰佸勾缁? - 绠€鍗曟潯浠跺垽鏂?
"鍒犻櫎鎵€鏈夋偅鑰匢D涓虹┖鐨勮<E990A8>" - 鏁版嵁瀹屾暣鎬ф竻娲?
"鎶婃€у埆杞<E59F86>负鏁板瓧锛岀敺1濂?" - 鍒嗙被鍙橀噺缂栫爜
"璁＄畻BMI = 浣撻噸 / (韬<>珮/100)^2" - 绠€鍗曞叕寮忚<E5AFAE>绠?
"鍒犻櫎缂哄け鐜囪秴杩?0%鐨勫垪" - 鍒楃骇鏁版嵁璐ㄩ噺鎺у埗

*馃煛涓<>瓑鍦烘櫙锛?涓<>級- 澶氭<E6BEB6>楠ゆ垨璺ㄥ垪閫昏緫锛? 6. [ ] "鎶婅瘖鏂<E79896>棩鏈熷拰鍑洪櫌鏃ユ湡璁＄畻澶╂暟宸<E69A9F>紝濡傛灉鍑洪櫌鏃ユ湡鏃╀簬璇婃柇鏃ユ湡鍒欐爣璁颁负寮傚父" - 閫昏緫楠岃瘉 7. [ ] "鏍规嵁鐧界粏鑳炪€佷腑鎬х矑缁嗚優銆佹穻宸寸粏鑳炰笁涓<E7AC81>寚鏍囷紝璁＄畻NLR锛堜腑鎬х矑缁嗚優/娣嬪反缁嗚優锛夛紝骞舵寜2.5鍒嗕负楂樹綆涓ょ粍" - 澶氭<E6BEB6>楠よ<E6A5A0>绠? 8. [ ] "浠庣梾鐞嗘姤鍛婂垪涓<E59EAA>彁鍙朤NM鍒嗘湡锛岀敓鎴愭柊鍒楋紝濡傛灉娌℃湁鎻愬彇鍒板垯鏍囪<E98F8D>涓?鏈<>垎鏈?" - 鏂囨湰鎻愬彇锛堝彲鐢ㄦ<E990A2>鍒欙級 9. [ ] "鎶婅<E98EB6>鍘嬪垪涓<E59EAA>殑'120/80'鏍煎紡鎷嗗垎鎴愭敹缂╁帇鍜岃垝寮犲帇涓ゅ垪锛屽苟鍒ゆ柇鏄<E69F87>惁楂樿<E6A582>鍘嬶紙鏀剁缉鍘?140 or 鑸掑紶鍘?90锛? - 瀛楃<E7809B>涓插<E6B693>鐞?閫昏緫鍒ゆ柇 10. [ ] "鍒犻櫎閲嶅<E996B2>鐨勬偅鑰匢D锛屼繚鐣欐渶鏂扮殑涓€鏉¤<E98F89>褰曪紙鏍规嵁灏辫瘖鏃ユ湡锛? - 鍘婚噸+鎺掑簭

馃敶楂樼骇鍦烘櫙锛?涓<>級- 澶嶆潅鍒嗙粍銆佹椂闂村簭鍒椼€佸尰瀛﹁<E7809B>鍒欙細 11. [ ] "瀵逛簬姣忎釜鎮ｈ€咃紝鎵惧嚭绗<E59AAD>竴娆″寲鐤楁棩鏈熷拰鏈€鍚庝竴娆″寲鐤楁棩鏈燂紝璁＄畻鍖栫枟鎸佺画鏃堕棿" - 鍒嗙粍鑱氬悎 12. [ ] "鐢熸垚鐢熷瓨鐘舵€佸彉閲忥細濡傛灉姝讳骸鏃ユ湡瀛樺湪鍒欎负1锛屽惁鍒欎负0锛涚敓鎴愮敓瀛樻椂闂达細濡傛灉姝讳骸鍒欎负锛堟<E9949B>浜℃棩鏈?璇婃柇鏃ユ湡锛夛紝鍚﹀垯涓猴紙闅忚<E99785>鎴<EFBFBD><E98EB4>鏃ユ湡-璇婃柇鏃ユ湡锛? - 澶嶆潅鏉′欢閫昏緫 13. [ ] "鏍规嵁澶氫釜瀹為獙瀹ゆ寚鏍囷紙ALT銆丄ST銆丄LP銆乀BIL锛夊垽鏂<E59EBD>倽鍔熻兘鍒嗙骇锛堟<E9949B>甯搞€佽交搴﹀紓甯搞€佷腑搴﹀紓甯搞€侀噸搴﹀紓甯革級" - 鍖诲<E98D96>瑙勫垯寮曟搸 14. [ ] "鎸夋偅鑰匢D鍒嗙粍锛屽<E9949B>姣忎釜鎮ｈ€呯殑澶氭<E6BEB6>闅忚<E99785>璁板綍锛岃<E9949B>绠楃浉閭讳袱娆′箣闂寸殑鎸囨爣鍙樺寲鐜囷紙濡傝偪鐦ゅぇ灏忓彉鍖栫巼锛? - 鏃堕棿搴忓垪鍒嗘瀽 15. [ ] "鏍规嵁鍏ラ櫌鏃堕棿锛岃<E9949B>绠楁偅鑰呯殑瀛ｈ妭鍙橀噺锛堟槬澶忕<E6BEB6>鍐<EFBFBD>級锛岀劧鍚庣粺璁′笉鍚屽<E98D9A>鑺傜殑鍙戠梾浜烘暟" - 鏃堕棿鐗瑰緛鎻愬彇+缁熻<E7BC81>鍒嗘瀽

*楠屾敹鏍囧噯锛堝垎灞傝<EFBFBD>姹傦級锛?

鉁?**鍩虹<E98DA9>鍦烘櫙鎴愬姛鐜?> 90%**锛?/5鎴?/5鎴愬姛锛?
鉁?**涓<>瓑鍦烘櫙鎴愬姛鐜?> 80%**锛?/5鎴愬姛锛?
鉁?**楂樼骇鍦烘櫙鎴愬姛鐜?> 60%**锛?/5鎴愬姛锛?
鉁?**鎬讳綋鎴愬姛鐜?> 80%**锛?2/15鍦烘櫙鎴愬姛锛?
鉁?AST鑳芥嫤鎴猔import os`绛夊嵄闄╀唬鐮?
鉂?濡傛灉鎬讳綋鎴愬姛鐜?< 60%锛?/15澶辫触锛夛紝MVP澶辫触锛岄渶瑕丳ivot鍒版ā鏉垮簱妯″紡

璐熻矗浜猴細 Node.js鍚庣<E98D9A> + Python寮€鍙?

Day 8锛氫唬鐮佹墽琛?+ 琛ㄦ牸鍒锋柊

*浠诲姟娓呭崟锛?

瀹炵幇浠ｇ爜鎵ц<EFBFBD>API

# Python
@app.post("/api/python/execute")
async def execute_code(request: ExecuteRequest):
    # 1. 鑾峰彇Session
    df = session_manager.get(request.sessionId)

    # 2. AST妫€鏌?
    is_safe, error_msg = validate_code_safety(request.code)
    if not is_safe:
        return {"success": False, "error": error_msg}

    # 3. 鎵ц<E98EB5>浠ｇ爜
    try:
        exec(request.code, {'df': df, 'pd': pd, 'np': np})

        # 4. 杩斿洖棰勮<E6A3B0>鏁版嵁
        preview = df.head(100).to_dict('records')

        return {
            "success": True,
            "preview": preview,
            "stats": {
                "totalRows": len(df),
                "totalCols": len(df.columns)
            }
        }
    except Exception as e:
        return {
            "success": False,
            "error": str(e),
            "traceback": traceback.format_exc()
        }

鍓嶇<EFBFBD>鎵ц<EFBFBD>娴佺▼

async function executeAICode(code: string) {
  // 1. 灞曠ず棰勬搷浣滃崱鐗?
  const confirmed = await showActionCard(code);
  if (!confirmed) return;

  // 2. 閿佸畾琛ㄦ牸
  setIsLocked(true);

  try {
    // 3. 鎵ц<E98EB5>浠ｇ爜
    const response = await api.post('/api/v1/dc/tool-c/ai/execute', {
      sessionId,
      code
    });

    if (response.data.success) {
      // 4. 鍒锋柊琛ㄦ牸
      setData(response.data.preview);
      message.success('鎵ц<E98EB5>鎴愬姛锛?);
    } else {
      message.error(`鎵ц<E98EB5>澶辫触锛?{response.data.error}`);
    }
  } finally {
    // 5. 瑙ｉ攣琛ㄦ牸
    setIsLocked(false);
  }
}

*娴嬭瘯鐢ㄤ緥锛?

鎵ц<EFBFBD>鎴愬姛锛岃〃鏍兼<EFBFBD>纭<EFBFBD>埛鏂?
鎵ц<EFBFBD>澶辫触锛屾樉绀洪敊璇<EFBFBD>俊鎭?
鎵ц<EFBFBD>鏈熼棿锛岃〃鏍煎<EFBFBD>浜庨攣瀹氱姸鎬?

*楠屾敹鏍囧噯锛?

鉁?浠ｇ爜鑳芥<E991B3>纭<EFBFBD>慨鏀笵ataFrame
鉁?鍓嶇<E98D93>鑳藉疄鏃剁湅鍒板彉鍖?

璐熻矗浜猴細 Python寮€鍙?+ 鍓嶇<E98D93>

Day 9锛歎I閿佸畾 + 棰勬搷浣滃崱鐗?

*浠诲姟娓呭崟锛?

瀹炵幇AI瀵硅瘽UI

function AIChatPanel({ sessionId }: Props) {
  const [messages, setMessages] = useState<Message[]>([]);
  const [input, setInput] = useState('');
  const [isProcessing, setIsProcessing] = useState(false);

  const handleSend = async () => {
    if (!input.trim()) return;

    // 1. 娣诲姞鐢ㄦ埛娑堟伅
    setMessages(prev => [...prev, {
      role: 'user',
      content: input
    }]);

    setIsProcessing(true);

    // 2. 璋冪敤AI鐢熸垚浠ｇ爜
    const response = await api.post('/api/v1/dc/tool-c/ai/generate', {
      sessionId,
      prompt: input
    });

    // 3. 娣诲姞AI娑堟伅锛堝寘鍚<E5AF98>唬鐮侊級
    setMessages(prev => [...prev, {
      role: 'assistant',
      content: response.data.summary,
      code: response.data.code
    }]);

    setIsProcessing(false);
    setInput('');
  };

  return (
    <div className="flex flex-col h-full">
      {/* 娑堟伅鍒楄〃 */}
      <div className="flex-1 overflow-y-auto p-4">
        {messages.map((msg, idx) => (
          <MessageBubble key={idx} message={msg} />
        ))}
      </div>

      {/* 杈撳叆妗?*/}
      <div className="p-4 border-t">
        <Input.TextArea
          value={input}
          onChange={e => setInput(e.target.value)}
          placeholder="杈撳叆鎸囦护锛屼緥濡傦細鎶婂勾榫勫ぇ浜?0鐨勬爣璁颁负鑰佸勾缁?
          disabled={isProcessing}
        />
        <Button onClick={handleSend} disabled={isProcessing}>
          鍙戦€?
        </Button>
      </div>
    </div>
  );
}

瀹炵幇棰勬搷浣滃崱鐗?

function ActionCard({ code, onConfirm, onCancel }: Props) {
  return (
    <Card className="mt-2 bg-slate-900 text-white">
      <div className="mb-2 text-xs text-slate-400">
        AI鐢熸垚鐨勪唬鐮?- 璇风‘璁ゅ悗鎵ц<EFBFBD>
      </div>
      <pre className="text-sm font-mono text-blue-300">
        {code}
      </pre>
      <div className="mt-3 flex gap-2">
        <Button type="primary" onClick={onConfirm}>
          杩愯<EFBFBD>浠ｇ爜
        </Button>
        <Button onClick={onCancel}>
          鍙栨秷
        </Button>
      </div>
    </Card>
  );
}

瀹炵幇UI閿佸畾

<AgGridReact
  rowData={data}
  suppressClickEdit={isLocked}
  readOnlyEdit={isLocked}
/>

{isLocked && (
  <div className="absolute inset-0 bg-black/20 flex items-center justify-center">
    <Spin tip="AI姝ｅ湪澶勭悊涓<E6828A>紝璇风◢鍊?.." />
  </div>
)}

*楠屾敹鏍囧噯锛?

鉁?鐢ㄦ埛鑳藉彂閫佹秷鎭?
鉁?AI杩斿洖浠ｇ爜鏃跺睍绀洪<E7BB80>鎿嶄綔鍗＄墖
鉁?鎵ц<E98EB5>鏈熼棿琛ㄦ牸閿佸畾

璐熻矗浜猴細 鍓嶇<E98D93>

Day 10锛氬<E9949B>鍑?+ 绔<>埌绔<E59F8C>祴璇?

*浠诲姟娓呭崟锛?

瀹炵幇瀵煎嚭API

@app.get("/api/python/export/{session_id}")
async def export_excel(session_id: str):
    df = session_manager.get(session_id)

    # 鐢熸垚Excel
    output = io.BytesIO()
    df.to_excel(output, index=False, engine='openpyxl')
    output.seek(0)

    return StreamingResponse(
        output,
        media_type='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
        headers={
            'Content-Disposition': f'attachment; filename=cleaned_data_{session_id}.xlsx'
        }
    )

鍓嶇<EFBFBD>瀵煎嚭鎸夐挳

const handleExport = async () => {
  const response = await api.get(`/api/v1/dc/tool-c/session/export/${sessionId}`, {
    responseType: 'blob'
  });

  const url = window.URL.createObjectURL(response.data);
  const a = document.createElement('a');
  a.href = url;
  a.download = 'cleaned_data.xlsx';
  a.click();
};

*绔<EFBFBD>埌绔<EFBFBD>祴璇曪紙瀹屾暣娴佺▼锛?

1. 涓婁紶 test_data.xlsx (5000琛?脳 20鍒?
2. AI鎸囦护锛?鎶婂勾榫勫ぇ浜?0鐨勬爣璁颁负鑰佸勾缁?
3. 纭<><E7BAAD> 鈫?鎵ц<E98EB5> 鈫?琛ㄦ牸鍒锋柊锛堥獙璇佹柊澧炲垪锛?
4. AI鎸囦护锛?鍒犻櫎鎮ｈ€匢D涓虹┖鐨勮<E990A8>"
5. 纭<><E7BAAD> 鈫?鎵ц<E98EB5> 鈫?琛ㄦ牸鍒锋柊锛堥獙璇佽<E79287>鏁板噺灏戯級
6. 鐐瑰嚮"瀵煎嚭" 鈫?涓嬭浇鏂囦欢
7. 鎵撳紑涓嬭浇鐨勬枃浠讹紝楠岃瘉鏁版嵁姝ｇ‘

*楠屾敹鏍囧噯锛?

鉁?鏁翠釜娴佺▼ < 2鍒嗛挓
鉁?瀵煎嚭鐨凟xcel鏁版嵁姝ｇ‘
鉁?AI浠ｇ爜鎵ц<E98EB5>鎴愬姛

璐熻矗浜猴細 鍏ㄥ憳

Week 3锛氫紭鍖栦笌娴嬭瘯锛?澶╋級

Day 11-12锛氶敊璇<E6958A><E79287>鐞?+ AI鑷<49>垜淇<E59E9C><E6B787>

*浠诲姟娓呭崟锛?

瀹炵幇AI鑷<EFBFBD>垜淇<EFBFBD><EFBFBD>

async function executeWithRetry(code: string): Promise<ExecuteResult> {
  // 绗<>竴娆℃墽琛?
  let result = await pythonService.execute(sessionId, code);

  if (!result.success) {
    // 澶辫触锛岃<E9949B>AI淇<49><E6B787>
    const fixedCode = await aiService.fixCode(code, result.error);

    // 閲嶈瘯1娆?
    result = await pythonService.execute(sessionId, fixedCode);

    if (!result.success) {
      // 褰诲簳澶辫触
      return {
        success: false,
        error: '浠ｇ爜鎵ц<E98EB5>澶辫触锛岃<E9949B>灏濊瘯鏇磋<E98F87>缁嗗湴鎻忚堪鎮ㄧ殑闇€姹?,
        originalError: result.error
      };
    }
  }

  return result;
}

浼樺寲閿欒<EFBFBD>鎻愮ず

function showErrorDetail(error: string) {
  const errorMap = {
    "KeyError: 'age'": "鍒楀悕'age'涓嶅瓨鍦<E793A8>紝璇锋<E79287>鏌ュ垪鍚嶆槸鍚︽<E98D9A>纭?,
    "ValueError": "鏁版嵁绫诲瀷涓嶅尮閰嶏紝璇锋<EFBFBD>鏌ユ暟鎹<EFBFBD>牸寮?,
    "MemoryError": "鏁版嵁閲忚繃澶э紝璇峰噺灏戞暟鎹<E69A9F><E98EB9>鏁?
  };

  const friendlyMsg = errorMap[error] || error;

  Modal.error({
    title: '鎵ц<E98EB5>澶辫触',
    content: friendlyMsg
  });
}

*娴嬭瘯鍦烘櫙锛堣竟鐣屾儏鍐碉級锛?

鍒楀悕涓嶅瓨鍦<EFBFBD>細df['nonexistent']
璇<EFBFBD>硶閿欒<EFBFBD>锛歚df[df['age'] > 60 and df['age'] < 80]`
鏁版嵁绫诲瀷閿欒<EFBFBD>锛歚df['age'] + '瀛楃<E7809B>涓?`
鍐呭瓨婧㈠嚭锛氬<EFBFBD>鐞嗚秴澶ф暟鎹?

*楠屾敹鏍囧噯锛?

鉁?甯歌<E794AF>閿欒<E996BF>鑳借嚜鎴戜慨澶?
鉁?鏃犳硶淇<E7A1B6><E6B787>鏃舵湁鍙嬪ソ鎻愮ず

璐熻矗浜猴細 Node.js鍚庣<E98D9A>

Day 13锛氬揩鎹锋ā鏉?+ 缂栫爜妫€娴?

*浠诲姟娓呭崟锛?

瀹炵幇蹇<EFBFBD>嵎妯℃澘

const QUICK_TEMPLATES = {
  '骞撮緞鍒嗙粍': {
    label: '骞撮緞鍒嗙粍锛?0宀佸垎鐣岋級',
    code: `df['age_group'] = pd.cut(df['age'], bins=[0,60,150], labels=['闈炶€佸勾','鑰佸勾'])`
  },
  '鍒犻櫎绌鸿<E7BB8C>': {
    label: '鍒犻櫎绌鸿<E7BB8C>',
    code: `df.dropna(how='all', inplace=True)`
  },
  '鎬у埆缂栫爜': {
    label: '鎬у埆缂栫爜锛堢敺1濂?锛?,
    code: `df['gender_code'] = df['gender'].map({'鐢?:1, '濂?:0})`
  }
};

function QuickActions() {
  return (
    <div className="p-4 border-t">
      <div className="text-xs text-slate-500 mb-2">蹇<>嵎鎿嶄綔</div>
      {Object.entries(QUICK_TEMPLATES).map(([key, template]) => (
        <Button
          key={key}
          size="small"
          onClick={() => executeTemplate(template.code)}
        >
          {template.label}
        </Button>
      ))}
    </div>
  );
}

瀹炵幇缂栫爜妫€娴?

import chardet

def detect_encoding(file_bytes: bytes) -> str:
    result = chardet.detect(file_bytes)
    encoding = result['encoding']
    confidence = result['confidence']

    if confidence < 0.8:
        raise ValueError(f"鏃犳硶纭<E7A1B6>畾鏂囦欢缂栫爜锛堢疆淇″害{confidence:.0%}锛?)

    return encoding

@app.post("/api/python/init")
async def init_session(file: UploadFile):
    content = await file.read()

    # 妫€娴嬬紪鐮?
    encoding = detect_encoding(content)

    if encoding.lower() not in ['utf-8', 'utf-8-sig']:
        return {
            "success": False,
            "error": f"鏂囦欢缂栫爜涓簕encoding}锛岃<EFBFBD>杞<EFBFBD>崲涓篣TF-8鍚庨噸鏂颁笂浼?,
            "suggestion": "鍦‥xcel涓<6C>彟瀛樹负CSV UTF-8鏍煎紡"
        }

    # 姝ｅ父鍔犺浇
    # ...

*楠屾敹鏍囧噯锛?

鉁?蹇<>嵎妯℃澘涓€閿<E282AC>墽琛?
鉁?GBK鏂囦欢琚<E6ACA2>弸濂芥嫤鎴?

璐熻矗浜猴細 鍓嶇<E98D93> + Python寮€鍙?

Day 14锛氭€ц兘娴嬭瘯 + 鍘嬪姏娴嬭瘯

*娴嬭瘯鍦烘櫙锛?

鎬ц兘娴嬭瘯

娴嬭瘯鏁版嵁锛?000琛?脳 20鍒楋紙绾?MB锛?

鍦烘櫙1锛氫笂浼犳枃浠?
- 鐩<>爣锛? 5绉?
- 瀹炴祴锛歘___绉?

鍦烘櫙2锛欰I鐢熸垚浠ｇ爜
- 鐩<>爣锛? 5绉?
- 瀹炴祴锛歘___绉?

鍦烘櫙3锛氫唬鐮佹墽琛?鍒锋柊
- 鐩<>爣锛? 3绉?
- 瀹炴祴锛歘___绉?

鍦烘櫙4锛氬<E9949B>鍑篍xcel
- 鐩<>爣锛? 3绉?
- 瀹炴祴锛歘___绉?

鎬昏<E98EAC>锛? 16绉?

鍘嬪姏娴嬭瘯

鍦烘櫙1锛氬苟鍙戠敤鎴?
- 5涓<35>敤鎴峰悓鏃朵笂浼犳枃浠?
- 楠岃瘉锛歋ession闅旂<E99785>锛屼簰涓嶅奖鍝?

鍦烘櫙2锛氬ぇ鏁版嵁閲?
- 涓婁紶50000琛?脳 50鍒楋紙绾?0MB锛?
- 楠岃瘉锛氫笉宕╂簝锛屽搷搴旀椂闂村彲鎺ュ彈

鍦烘櫙3锛氳繛缁<E7B99B>搷浣?
- 杩炵画鎵ц<E98EB5>10娆<30>I鎸囦护
- 楠岃瘉锛氬唴瀛樹笉娉勬紡

鎬ц兘浼樺寲锛堝<EFBFBD>鏋滀笉杈炬爣锛夛細

鍓嶇<EFBFBD>锛欰G Grid铏氭嫙婊氬姩閰嶇疆
鍚庣<EFBFBD>锛欴ataFrame鎿嶄綔鏀逛负鎯版€ц<EFBFBD>绠?
Python锛氫娇鐢≒olars鏇夸唬Pandas锛堝<EFBFBD>鏋滈渶瑕侊級

*楠屾敹鏍囧噯锛?

鉁?鍗曟<E98D97>鎿嶄綔 < 16绉?
鉁?5涓<35>苟鍙戠敤鎴锋<E98EB4>甯稿伐浣?
鉁?鏃犲唴瀛樻硠婕?

璐熻矗浜猴細 鍏ㄥ憳

Day 15锛氭枃妗?+ 婕旂ず鍑嗗<E98D91>

*浠诲姟娓呭崟锛?

缂栧啓鐢ㄦ埛鏂囨。

# 宸ュ叿C浣跨敤鎸囧崡

## 蹇<>€熷紑濮?
1. 鐐瑰嚮"涓婁紶鏂囦欢"锛岄€夋嫨Excel锛堥檺10MB锛?
2. 绛夊緟3-5绉掞紝琛ㄦ牸鍔犺浇瀹屾垚
3. 鍦ㄥ彸渚<E5BDB8>I鍔╂墜杈撳叆鎸囦护锛屼緥濡傦細"鎶婂勾榫勫ぇ浜?0鐨勬爣璁颁负鑰佸勾缁?
4. 鐐瑰嚮"杩愯<E69DA9>浠ｇ爜"纭<><E7BAAD>
5. 鏌ョ湅琛ㄦ牸鑷<E789B8>姩鍒锋柊
6. 瀹屾垚鎵€鏈夋搷浣滃悗锛岀偣鍑?瀵煎嚭"涓嬭浇缁撴灉

## 甯歌<E794AF>闂<EFBFBD><E99782>
Q: 鏂囦欢涓婁紶澶辫触锛屾彁绀烘枃浠惰繃澶э紵
A: 璇峰皢Excel鏂囦欢鍘嬬缉鍒?0MB浠ュ唴锛屾垨鍒犻櫎涓嶉渶瑕佺殑鍒椼€?

Q: 鍒楀悕鏄剧ず涔辩爜锛?
A: 璇峰湪Excel涓<6C>彟瀛樹负"CSV UTF-8"鏍煎紡鍚庨噸鏂颁笂浼犮€?

鍑嗗<EFBFBD>婕旂ず鏁版嵁

鍒涘缓 demo_data.xlsx锛?
- 100琛屾偅鑰呮暟鎹?
- 鍖呭惈锛歱atient_id, name, age, gender, admission_date, bmi
- 鏁呮剰鍒堕€犱竴浜涢棶棰橈細绌哄€笺€佸紓甯稿€笺€侀渶瑕佹竻娲楃殑鏁版嵁

鍑嗗<EFBFBD>婕旂ず鑴氭湰

婕旂ず娴佺▼锛?鍒嗛挓锛夛細
1. 涓婁紶demo_data.xlsx
2. AI鎸囦护锛?鎶婂勾榫勫ぇ浜?0鐨勬爣璁颁负鑰佸勾缁?
3. AI鎸囦护锛?鍒犻櫎鎮ｈ€匢D涓虹┖鐨勮<E990A8>"
4. AI鎸囦护锛?鎶婃€у埆杞<E59F86>负鏁板瓧锛岀敺1濂?"
5. 瀵煎嚭缁撴灉
6. 灞曠ず瀵煎嚭鐨凟xcel鏂囦欢

*楠屾敹鏍囧噯锛?

鉁?鏂囨。娓呮櫚鏄撴噦
鉁?婕旂ず娴佺晠鏃犲崱椤?
鉁?婕旂ず鏁版嵁鑳戒綋鐜版牳蹇冨姛鑳?

璐熻矗浜猴細 鍏ㄥ憳

浜斻€侀<EFBFBD>闄╁簲瀵圭瓥鐣?

5.1 椋庨櫓娓呭崟涓庡簲瀵?

椋庨櫓	姒傜巼	褰卞搷	搴斿<EFBFBD>绛栫暐	闄嶇骇鏂规<EFBFBD>
*AI浠ｇ爜璐ㄩ噺浣庯紙鎴愬姛鐜?60%锛?	涓?	鑷村懡	1. 浼樺寲Prompt宸ョ▼ 2. 澧炲姞Few-shot绀轰緥 3. 瀹炵幇鑷<E5B987>垜淇<E59E9C><E6B787>	Pivot锛氭敼鐢ㄤ唬鐮佹ā鏉垮簱
Apache Arrow闆嗘垚鍥伴毦	楂?	楂?	1. MVP涓嶇敤Arrow 2. 鐩存帴鐢↗SON	宸查檷绾э細MVP鐢↗SON
*Redis鍐呭瓨鎴愭湰楂?	涓?	涓?	1. MVP鐢ㄨ繘绋嬪唴瀛?br>2. 婵€杩涚殑Session杩囨湡	宸查檷绾э細鐢∕ap缂撳瓨
Python鍐呭瓨娉勬紡	涓?	楂?	1. 涓嶅仛鍘嗗彶蹇<E5BDB6>収 2. 瀹氭湡閲嶅惎杩涚▼	SAE鑷<EFBFBD>姩閲嶅惎
涓<EFBFBD>枃Excel涔辩爜	楂?	涓?	1. chardet鑷<74>姩妫€娴?br>2. 鍙嬪ソ鎶ラ敊鎻愮ず	鏂囨。璇存槑杞琔TF-8
SAE鍐峰惎鍔ㄦ參	楂?	涓?	1. 鏈€灏忓疄渚嬫暟=1 2. 寮傛<E5AFAE>鍒濆<E98D92>鍖?	Loading浼樺寲
*鍓嶇<EFBFBD>AG Grid鎬ц兘宸?	浣?	涓?	1. 鍙<>睍绀?00琛?br>2. 铏氭嫙婊氬姩	*宸蹭紭鍖?

5.2 蹇<>€熷け璐ヨЕ鍙戝櫒

*绔嬪嵆鍋滄<EFBFBD>寮€鍙戠殑鏉′欢锛?

Day 7缁撴潫锛孉I浠ｇ爜鎴愬姛鐜?< 60%
- 鍐崇瓥锛氭斁寮傾I Code Interpreter璺<72>嚎
- Pivot锛氭敼涓?浠ｇ爜妯℃澘搴?+ 鍙傛暟鍖栭厤缃?
*Day 10缁撴潫锛岀<E9949B>鍒扮<E98D92>鏃堕棿 > 30绉?
- 鍐崇瓥锛氭€ц兘鏃犳硶鎺ュ彈
- Pivot锛氭敼涓烘壒澶勭悊妯″紡锛堜笂浼?鈫?鍚庡彴澶勭悊鈫?涓嬭浇锛?
*Day 14缁撴潫锛?涓<>敤鎴锋祴璇曪紝閮芥棤娉曠嫭绔嬪畬鎴愪换鍔?
- 鍐崇瓥锛氫氦浜掕<EFBFBD>璁″け璐?
- Pivot锛氶噸鏂拌<EFBFBD>璁<EFBFBD>I锛屽<EFBFBD>鍔犳柊鎵嬪紩瀵?

鍏<EFBFBD>€侀獙鏀舵爣鍑?

6.1 鍔熻兘楠屾敹娓呭崟

缂栧彿	楠屾敹椤?	楠屾敹鏍囧噯	楠屾敹鏂瑰紡
F-001	鏂囦欢涓婁紶	鑳戒笂浼?0MB浠ュ唴鐨凟xcel	鎵嬪姩娴嬭瘯
F-002	缂栫爜妫€娴?	GBK鏂囦欢琚<EFBFBD>弸濂芥嫤鎴?	鎵嬪姩娴嬭瘯
F-003	琛ㄦ牸灞曠ず	100琛屾暟鎹<EFBFBD><EFBFBD>纭<EFBFBD>樉绀猴紝涓<EFBFBD>枃鏃犱贡鐮?	鎵嬪姩娴嬭瘯
F-004	AI瀵硅瘽	鑳藉彂閫佹秷鎭<EFBFBD>紝鎺ユ敹鍥炲<EFBFBD>	鎵嬪姩娴嬭瘯
F-005	浠ｇ爜鐢熸垚	*10涓<EFBFBD>満鏅<EFBFBD>紝8涓<EFBFBD>垚鍔燂紙80%锛?	鑷<EFBFBD>姩鍖栨祴璇?
F-006	AST妫€鏌?	鎷︽埅`import os`绛夊嵄闄╀唬鐮?	鍗曞厓娴嬭瘯
F-007	浠ｇ爜鎵ц<EFBFBD>	鑳芥<EFBFBD>纭<EFBFBD>慨鏀笵ataFrame	闆嗘垚娴嬭瘯
F-008	琛ㄦ牸鍒锋柊	鎵ц<EFBFBD>鍚庤嚜鍔ㄦ洿鏂?	鎵嬪姩娴嬭瘯
F-009	UI閿佸畾	AI澶勭悊鏃惰〃鏍煎彧璇?閬<>僵	鎵嬪姩娴嬭瘯
F-010	瀵煎嚭Excel	涓嬭浇鐨勬枃浠舵暟鎹<EFBFBD><EFBFBD>纭?	鎵嬪姩娴嬭瘯

6.2 鎬ц兘楠屾敹鏍囧噯

鎸囨爣	鐩<EFBFBD>爣鍊?	楠屾敹鏂瑰紡
鏂囦欢涓婁紶鍒拌〃鏍兼樉绀?	< 5绉?	鎬ц兘娴嬭瘯
AI鐢熸垚浠ｇ爜	< 5绉?	鎬ц兘娴嬭瘯
浠ｇ爜鎵ц<EFBFBD>+鍒锋柊	< 3绉?	鎬ц兘娴嬭瘯
瀵煎嚭Excel	< 3绉?	鎬ц兘娴嬭瘯
*绔<EFBFBD>埌绔<EFBFBD>€绘椂闂?	*< 16绉?	鎬ц兘娴嬭瘯
骞跺彂鐢ㄦ埛鏁?	鈮?5浜?	鍘嬪姏娴嬭瘯
鍐呭瓨鍗犵敤	< 2GB锛?鐢ㄦ埛锛?	鍘嬪姏娴嬭瘯

6.3 瀹夊叏楠屾敹鏍囧噯

鎸囨爣	楠屾敹鏍囧噯	楠屾敹鏂瑰紡
浠ｇ爜娌欑<EFBFBD>	鎷︽埅鎵€鏈夊嵄闄╀唬鐮?	娓楅€忔祴璇?
Session闅旂<EFBFBD>	鐢ㄦ埛A鐪嬩笉鍒扮敤鎴稡鏁版嵁	骞跺彂娴嬭瘯
Session杩囨湡	10鍒嗛挓鍚庤嚜鍔ㄦ竻鐞?	鏃堕棿娴嬭瘯

涓冦€佸揩閫熷け璐ユ満鍒?

7.1 鍏抽敭妫€鏌ョ偣

Checkpoint 1 (Day 5缁撴潫)锛?
鈹溾攢 System Prompt鑳藉惁璁〢I鐞嗚В鏁版嵁锛?
鈹溾攢 AI鑳界敓鎴怭andas浠ｇ爜鍚楋紵
鈹斺攢 鍐崇瓥锛氱户缁?or 璋冩暣Prompt绛栫暐

Checkpoint 2 (Day 7缁撴潫)锛?
鈹溾攢 AI浠ｇ爜鎴愬姛鐜?鈮?80%锛?
鈹溾攢 濡傛灉 < 60%锛氱珛鍗冲仠姝<E4BBA0>紝鏀圭敤妯℃澘搴?
鈹斺攢 濡傛灉 60-80%锛氱户缁<E688B7>紭鍖朠rompt

Checkpoint 3 (Day 10缁撴潫)锛?
鈹溾攢 绔<>埌绔<E59F8C>祦绋嬭兘璺戦€氾紵
鈹溾攢 鎬ц兘 < 16绉掞紵
鈹斺攢 鍐崇瓥锛氱户缁?or 鎬ц兘浼樺寲

Checkpoint 4 (Day 14缁撴潫)锛?
鈹溾攢 鐢ㄦ埛娴嬭瘯閫氳繃锛?
鈹溾攢 鏃犻噸澶<E599B8>ug锛?
鈹斺攢 鍐崇瓥锛氬彂甯?or 淇<><E6B787>Bug

7.2 Pivot鍐崇瓥鏍?

濡傛灉 AI浠ｇ爜鎴愬姛鐜?< 60%锛?
  鈹溾攢 Pivot 1锛氭敼鐢?浠ｇ爜妯℃澘搴?+ 鍙傛暟鍖栭厤缃?
  鈹?  鈹斺攢 鐢ㄦ埛閫夋嫨妯℃澘 鈫?濉<>啓鍙傛暟 鈫?鐢熸垚浠ｇ爜
  鈹?
  鈹溾攢 Pivot 2锛欰I鍙樻垚"杈呭姪寤鸿<E5AFA4>"瑙掕壊
  鈹?  鈹斺攢 鐢ㄦ埛鎵嬪姩鍐欎唬鐮侊紝AI鎻愪緵寤鸿<E5AFA4>
  鈹?
  鈹斺攢 Pivot 3锛氱畝鍖栦负"鎵瑰<E98EB5>鐞嗘ā寮?
      鈹斺攢 涓婁紶 鈫?閫夋嫨棰勮<E6A3B0>鎿嶄綔 鈫?鍚庡彴澶勭悊 鈫?涓嬭浇

濡傛灉 鎬ц兘鏃犳硶鎺ュ彈锛? 30绉掞級锛?
  鈹溾攢 鏂规<E98F82>1锛氬紩鍏<E7B4A9>pache Arrow
  鈹溾攢 鏂规<E98F82>2锛氫娇鐢≒olars鏇夸唬Pandas
  鈹斺攢 鏂规<E98F82>3锛氭敼涓烘壒澶勭悊+寮傛<E5AFAE>閫氱煡

濡傛灉 鐢ㄦ埛鏃犳硶鐙<E7A1B6>珛瀹屾垚浠诲姟锛?
  鈹溾攢 鏂规<E98F82>1锛氬<E9949B>鍔犱氦浜掑紡鏂版墜寮曞<E5AFAE>
  鈹溾攢 鏂规<E98F82>2锛氭彁渚涚ず渚嬫暟鎹<E69A9F>泦
  鈹斺攢 鏂规<E98F82>3锛氱畝鍖朥I锛屽噺灏戦€夐」

鍏<EFBFBD>€侀檮褰?

8.1 娴嬭瘯鏁版嵁鍑嗗<E98D91>

鍒涘缓鏍囧噯娴嬭瘯鏁版嵁闆嗭細

# create_test_data.py
import pandas as pd
import numpy as np

# 鐢熸垚5000琛屾祴璇曟暟鎹?
data = {
    'patient_id': [f'P{i:04d}' for i in range(1, 5001)],
    'name': [f'鎮ｈ€厈i}' for i in range(1, 5001)],
    'age': np.random.randint(18, 90, 5000),
    'gender': np.random.choice(['鐢?, '濂?], 5000),
    'admission_date': pd.date_range('2023-01-01', periods=5000, freq='H'),
    'weight': np.random.uniform(45, 95, 5000).round(1),
    'height': np.random.uniform(150, 190, 5000).round(0),
    'diagnosis': np.random.choice(['鑲虹檶', '绯栧翱鐥?, '楂樿<EFBFBD>鍘?], 5000)
}

df = pd.DataFrame(data)

# 鏁呮剰鍒堕€犻棶棰?
df.loc[np.random.choice(5000, 100, replace=False), 'age'] = None  # 100涓<30>己澶?
df.loc[np.random.choice(5000, 10, replace=False), 'age'] = 150   # 10涓<30>紓甯稿€?
df.loc[np.random.choice(5000, 50, replace=False), 'patient_id'] = None  # 50涓<30>┖ID

df.to_excel('test_data.xlsx', index=False)

8.2 10涓<30>吀鍨嬪満鏅<E6BA80>祴璇曠敤渚?

# test_ai_scenarios.py
test_cases = [
    {
        "id": "TC-001",
        "prompt": "鎶婂勾榫勫ぇ浜?0鐨勬偅鑰呮爣璁颁负鑰佸勾缁?,
        "expected_code": "df['age_group'] = df['age'].apply(lambda x: '鑰佸勾缁? if pd.notna(x) and x > 60 else '闈炶€佸勾缁?)",
        "verify": lambda df: 'age_group' in df.columns
    },
    {
        "id": "TC-002",
        "prompt": "鍒犻櫎鎵€鏈夋偅鑰匢D涓虹┖鐨勮<E990A8>",
        "expected_code": "df.dropna(subset=['patient_id'], inplace=True)",
        "verify": lambda df: df['patient_id'].isnull().sum() == 0
    },
    # ... 鍏朵綑8涓<38>満鏅?
]

8.3 鐜<><E9909C>閰嶇疆娓呭崟

*Node.js渚濊禆锛?

{
  "dependencies": {
    "fastify": "^4.0.0",
    "axios": "^1.6.0",
    "joi": "^17.11.0",
    "@fastify/multipart": "^8.0.0"
  }
}

*Python渚濊禆锛?

fastapi==0.115.0
uvicorn==0.30.0
pandas==2.2.0
openpyxl==3.1.0
chardet==5.2.0
python-multipart==0.0.9

涔濄€侀」鐩<EFBFBD><EFBFBD>鐞?

9.1 鍥㈤槦閰嶇疆

瑙掕壊	浜烘暟	鑱岃矗
鍓嶇<EFBFBD>寮€鍙?	1浜?	React + AG Grid + UI
Node.js鍚庣<E98D9A>	1浜?	BFF + LLM闆嗘垚 + Prompt宸ョ▼
Python寮€鍙?	1浜?	FastAPI + DataFrame + AST妫€鏌?
鎬昏<EFBFBD>	*3浜?	3鍛<EFBFBD>紙15澶╋級

9.2 娌熼€氭満鍒?

姣忔棩绔欎細锛?5鍒嗛挓锛屽悓姝ヨ繘搴﹀拰闂<E68BB0><E99782>
鍏抽敭妫€鏌ョ偣锛欴ay 5銆?銆?0銆?4
闂<EFBFBD><EFBFBD>鍗囩骇锛氶樆濉為棶棰?灏忔椂鍐呭崌绾?
鏂囨。鏇存柊锛氭瘡鏃ユ洿鏂板紑鍙戣<EFBFBD>褰?

9.3 浠ｇ爜绠＄悊

*鍒嗘敮绛栫暐锛?

main (绋冲畾鐗?
  鈹斺攢鈹€ develop (寮€鍙戠増)
      鈹溾攢鈹€ feature/tool-c-frontend
      鈹溾攢鈹€ feature/tool-c-backend
      鈹斺攢鈹€ feature/tool-c-python

*鎻愪氦瑙勮寖锛?

feat: 鏂板<E98F82>AI浠ｇ爜鐢熸垚鍔熻兘
fix: 淇<><E6B787>琛ㄦ牸鍒锋柊Bug
test: 澧炲姞AST妫€鏌ユ祴璇曠敤渚?
docs: 鏇存柊寮€鍙戞枃妗?

鍗併€佹€荤粨

鏍稿績鎴愬姛瑕佺礌

鉁?AI浠ｇ爜璐ㄩ噺锛氭垚鍔熺巼 > 80%锛堟牳蹇冨亣璁撅級
鉁?**鎬ц兘鍙<E58598>帴鍙?*锛氱<E9949B>鍒扮<E98D92> < 16绉?
鉁?**浜や簰绠€鍗?*锛氱敤鎴锋棤闇€鏂囨。灏辫兘鐢?

椋庨櫓鎺у埗

鉁?**蹇<>€熷け璐?*锛?澶╅獙璇丄I鑳藉姏锛屼笉琛岀珛鍗砅ivot
鉁?**鍔″疄鎶€鏈?*锛欽SON涓嶇敤Arrow锛屽唴瀛樹笉鐢≧edis
鉁?**闄嶇骇鏂规<E98F82>**锛氬噯澶囧ソ妯℃澘搴撱€佹壒澶勭悊绛塒lan B

鏃堕棿鑺傜偣

Week 1锛氬熀纭€鏋舵瀯锛?澶╋級
Week 2锛氭牳蹇冨姛鑳斤紙5澶╋級
Week 3锛氫紭鍖栨祴璇曪紙5澶╋級
**鎬昏<E98EAC>**锛?5涓<35>伐浣滄棩

馃摑鏂囨。淇<E38082><E6B787>璁板綍

V1.3锛?025-12-06锛? 鍙戠幇鐜版湁Python鏈嶅姟猸?閲嶅ぇ鍙戠幇

**淇<><E6B787>鍐呭<E98D90>**锛氭<E9949B>鏌ョ郴缁熷彂鐜板凡鏈塒ython寰<6E>湇鍔★紝涓嶉渶瑕侀噸澶嶅紑鍙戯細

淇<EFBFBD><EFBFBD>1锛氬<EFBFBD>鐢ㄧ幇鏈塒ython鏈嶅姟锛屼笉閲嶅<EFBFBD>閫犺疆猸愨瓙猸愨瓙猸?

閲嶅ぇ鍙戠幇锛氱郴缁熷凡鏈?extraction_service/锛團astAPI + Pandas + openpyxl锛?
鐜版湁鍔熻兘锛?
- 鉁?PDF/Docx/Txt鏂囨。鎻愬彇锛圥yMuPDF + Mammoth锛?
- 鉁?Pandas銆乷penpyxl銆乧hardet銆乴angdetect宸插畨瑁?
- 鉁?FastAPI妗嗘灦宸茶繍琛岋紙绔<E7B499>彛8000锛?
- 鉁?Node.js宸叉湁ExtractionClient闆嗘垚
**鏂板<E98F82>鏂规<E98F82>**锛?
- 鉁?鎵╁睍鐜版湁鏈嶅姟锛屾坊鍔?/api/dc/execute 绔<>偣
- 鉁?鏂板<E98F82> dc_executor.py 妯″潡锛圓ST妫€鏌?+ 浠ｇ爜鎵ц<E98EB5>锛?
- 鉁?澶嶇敤ExtractionClient妯″紡璋冪敤
**閬垮厤閲嶅<E996B2>**锛?
- 鉂?涓嶉渶瑕佹柊寤篜ython椤圭洰
- 鉂?涓嶉渶瑕侀噸鏂板畨瑁呬緷璧?
- 鉂?涓嶉渶瑕侀噸鏂板啓HTTP璋冪敤閫昏緫

V1.2锛?025-12-06锛? Python鎵ц<E98EB5>鐜<EFBFBD><E9909C> + 澶嶆潅鍦烘櫙鈿狅笍鏍稿績鍔熻兘

**淇<><E6B787>鍐呭<E98D90>**锛氭牴鎹<E789B4>敤鎴峰弽棣堬紝鏄庣‘Python浠ｇ爜鎵ц<E98EB5>鏄<EFBFBD>牳蹇冨姛鑳斤細

淇<EFBFBD><EFBFBD>1锛歅ython鎵ц<EFBFBD>鏄<EFBFBD>牳蹇冿紝涓嶆槸鍙<EFBFBD>€?猸愨瓙猸愨瓙猸?

**鍘熼敊璇?*锛氳<E9949B>"MVP闃舵<E99783>鍙<EFBFBD>兘涓嶉渶瑕丳ython寰<6E>湇鍔?
**宸蹭慨姝?锛?Python浠ｇ爜鎵ц<EFBFBD>鏄<EFBFBD>伐鍏稢鐨勬牳蹇冧环鍊硷紝蹇呴』瀹炵幇
**鏂板<E98F82>鍐呭<E98D90>**锛?
- Day 1澧炲姞Python鐜<6E><E9909C>鎼<EFBFBD>缓
- 鏂板<EFBFBD>PythonExecutorService锛圢ode.js 鈫?Python閫氫俊锛?
- 鏂板<EFBFBD>executor.py锛圥andas浠ｇ爜鎵ц<E98EB5>鍣<EFBFBD>級
- 鎶€鏈<EFBFBD>柟妗堬細Node.js child_process璋冪敤Python鑴氭湰

淇<EFBFBD><EFBFBD>2锛氭祴璇曞満鏅<EFBFBD>粠绠€鍗曞埌澶嶆潅鉁?

**鍘熼棶棰?*锛?0涓<30>祴璇曞満鏅<E6BA80>繃浜庣畝鍗?
**宸蹭慨姝?*锛?5涓<35>湡瀹炲尰鐤楁暟鎹<E69A9F>竻娲楀満鏅?
- 馃煝鍩虹<E98DA9>鍦烘櫙5涓<35>細鍗曟<E98D97>楠ゆ搷浣?
- 馃煛涓<>瓑鍦烘櫙5涓<35>細澶氭<E6BEB6>楠ゃ€佽法鍒楅€昏緫
- 馃敶楂樼骇鍦烘櫙5涓<35>細鍒嗙粍鑱氬悎銆佹椂闂村簭鍒椼€佸尰瀛﹁<E7809B>鍒?
鏂板<EFBFBD>鍦烘櫙锛?
- 澶嶆潅鏉′欢閫昏緫锛堢敓瀛樻椂闂磋<EFBFBD>绠楋級
- 鍖诲<EFBFBD>瑙勫垯寮曟搸锛堣倽鍔熻兘鍒嗙骇锛?
- 鏃堕棿搴忓垪鍒嗘瀽锛堟寚鏍囧彉鍖栫巼锛?
- 鏂囨湰鎻愬彇锛圱NM鍒嗘湡锛?
- 瀛楃<EFBFBD>涓插<EFBFBD>鐞嗭紙琛€鍘嬫媶鍒嗭級

淇<EFBFBD><EFBFBD>3锛氶獙鏀舵爣鍑嗗垎灞?鉁?

**鍘熸爣鍑?*锛氭€讳綋鎴愬姛鐜?> 80%
**鏂版爣鍑?*锛?
- 鍩虹<EFBFBD>鍦烘櫙鎴愬姛鐜?> 90%
- 涓<EFBFBD>瓑鍦烘櫙鎴愬姛鐜?> 80%
- 楂樼骇鍦烘櫙鎴愬姛鐜?> 60%
- 鎬讳綋鎴愬姛鐜?> 80%锛?2/15鍦烘櫙锛?

淇<EFBFBD><EFBFBD>4锛氭牳蹇冨亣璁鹃獙璇?鉁?

鏂板<EFBFBD>H2锛歅ython浠ｇ爜鎵ц<EFBFBD>鐜<EFBFBD><EFBFBD>绋冲畾鍙<EFBFBD>潬
淇<EFBFBD>敼H1锛氫粠"鐢熸垚浠ｇ爜"鏀逛负"鐢熸垚浠ｇ爜骞舵垚鍔熸墽琛?
寮鸿皟锛欰I鐢熸垚浠ｇ爜 + 鐪熷疄鎵ц<E98EB5> + 琛ㄦ牸鍒锋柊鏄<E69F8A>樊寮傚寲浠峰€?

V1.1锛?025-12-06锛? 鏋舵瀯鍚堣<E98D9A>鎬т慨姝?鈿狅笍閲嶈<E996B2>

**淇<><E6B787>鍐呭<E98D90>**锛氭牴鎹<E789B4>敤鎴蜂弗鑲冩彁閱掞紝淇<E7B49D><E6B787>浠ヤ笅杩濆弽瑙勮寖鐨勯棶棰橈細

淇<EFBFBD><EFBFBD>1锛氬己鍒跺<EFBFBD>鐢ㄥ钩鍙拌兘鍔?鉁?

**鍘熼敊璇?*锛氬缓璁<E7BC93>嚜宸卞疄鐜癝ession绠＄悊銆佸瓨鍌ㄣ€佹棩蹇?
**宸蹭慨姝?*锛氬己鍒朵娇鐢╜storage, logger, cache, prisma, LLMFactory`
褰卞搷绔犺妭锛氭墍鏈塂ay 1-15鐨勪唬鐮佺ず渚?

淇<EFBFBD><EFBFBD>2锛歋ession瀛樺偍鏂瑰紡鉁?

**鍘熼敊璇?*锛氬缓璁<E7BC93>敤Map<sessionId, data>鍐呭瓨缂撳瓨
**宸蹭慨姝?*锛歋ession瀛樻暟鎹<E69A9F>簱锛坄dc_tool_c_sessions`琛<>級
鍘熷洜锛氳繚鍙嶄簯鍘熺敓瑙勮寖绗?鏉★紙绂佹<E7BB82>鍐呭瓨缂撳瓨锛?

淇<EFBFBD><EFBFBD>3锛氭枃浠跺す缁撴瀯鉁?

**鍘熼敊璇?*锛氬缓璁<E7BC93>垱寤篳python-service/銆乣node-service/瀛愭枃浠跺す
**宸蹭慨姝?*锛氶伒寰猼ool-b缁撴瀯锛坄services/, controllers/, routes/`锛?
**鍙傝€?*锛歚backend/src/modules/dc/tool-b/`

淇<EFBFBD><EFBFBD>4锛氭妧鏈<EFBFBD>爤璇存槑鉁?

**鍘熼敊璇?*锛氭湭寮鸿皟澶嶇敤鐜版湁鑳藉姏
**宸蹭慨姝?*锛氭槑纭<E6A791>爣娉?宸叉湁"銆?澶嶇敤骞冲彴鑳藉姏"
**鏂板<E98F82>**锛氫簯鍘熺敓寮€鍙戣<E98D99>鑼冩<E991BC>鏌ユ竻鍗?

淇<EFBFBD><EFBFBD>5锛氫唬鐮佺ず渚?鉁?

**鍘熼敊璇?*锛欴ay 1-5鐨勪唬鐮佺ず渚嬫湭浣撶幇骞冲彴鏈嶅姟
**宸蹭慨姝?*锛氭墍鏈変唬鐮佺ず渚嬮兘浣跨敤import { storage } from '@/common/storage'绛?
**鏂板<E98F82>**锛氬父瑙侀敊璇<E6958A>ず渚嬶紙鉂?涓ョ<E6B693>锛?

鏂板<EFBFBD>绔犺妭鉁?

**寮€鍙戝墠蹇呰<E8B987>**锛氬己璋冧笉瑕侀噸澶嶉€犺疆瀛?
**浜戝師鐢熻<E990A2>鑼冨己鍒惰<E98D92>姹?*锛氬垪鍑?鏉℃牳蹇冭<E8B987>鑼?
甯歌<EFBFBD>閿欒<EFBFBD>绀轰緥锛氬睍绀?涓<>弗绂佺殑閿欒<E996BF>鍐欐硶

鏂囨。鐘舵€侊細 鉁?宸插畬鎴愶紙V1.1 鏋舵瀯鍚堣<E98D9A>鎬т慨姝ｇ増锛? 涓嬩竴姝ワ細 鍥㈤槦Review 鈫?涓ユ牸鎸夎<E98EB8>鑼冨紑鍙? 璐熻矗浜猴細 椤圭洰缁忕悊
*鍒涘缓鏃ユ湡锛? 2025-12-06
*淇<EFBFBD><EFBFBD>鏃ユ湡锛? 2025-12-06锛堟灦鏋勫悎瑙勬€т慨姝ｏ級

鈿狅笍閲嶈<E996B2>鎻愰啋锛?

寮€鍙戝墠蹇呴』闃呰<EFBFBD>锛歚docs/04-寮€鍙戣<E98D99>鑼?08-浜戝師鐢熷紑鍙戣<E98D99>鑼?md`
鍙傝€冪幇鏈夊疄鐜帮細backend/src/modules/dc/tool-b/
绂佹<EFBFBD>杩濆弽瑙勮寖锛氬唴瀛樼紦瀛樸€佹湰鍦版枃浠跺瓨鍌ㄣ€侀噸澶嶅疄鐜板钩鍙拌兘鍔?

67 KiB Raw Blame History Unescape Escape

宸ュ叿C - 绉戠爺鏁版嵁缂栬緫鍣?MVP寮€鍙戣<E98D99>鍒?

鈿狅笍 寮€鍙戝墠蹇呰<E8B987>锛氫弗鏍奸伒瀹堢幇鏈夋灦鏋勪笌瑙勮寖

馃敶 涓嶈<E6B693>閲嶅<E996B2>閫犺疆瀛愶紒澶嶇敤骞冲彴鑳藉姏

骞冲彴鍩虹<EFBFBD>灞傦紙鉁?宸插畬鎴愶紝鐩存帴浣跨敤锛?

浜戝師鐢熷紑鍙戣<EFBFBD>鑼冿紙鉁?寮哄埗鎵ц<E98EB5>锛?

浠ｇ爜鏂囦欢澶圭粨鏋勶紙鉁?鍙傝€僼ool-b锛?

甯歌<EFBFBD>閿欒<EFBFBD>绀轰緥锛堚潓 涓ョ<E6B693>锛?

馃搵 鐩<>綍

涓€銆丮VP鏍稿績鐩<EFBFBD>爣

1.1 鏍稿績鍋囪<E98D8B>楠岃瘉

1.2 MVP鍔熻兘鑼冨洿

1.3 MVP浜や粯鐗?

浜屻€佹妧鏈<EFBFBD>灦鏋勬柟妗堬紙鍔″疄鐗堬級

2.1 鎬讳綋鏋舵瀯锛堢畝鍖栫増锛? 鈿狅笍 閲嶈<E996B2>锛氬<E9949B>鐢ㄥ钩鍙拌兘鍔?

2.2 鎶€鏈<E282AC>爤閫夊瀷锛堚渽 澶嶇敤鐜版湁鎶€鏈<E282AC>爤锛?

鍓嶇<EFBFBD>锛坒rontend-v2锛?

Node.js鍚庣<E98D9A>锛坆ackend锛?

Python寰<EFBFBD>湇鍔★紙鈿狅笍 鏍稿績鍔熻兘锛屾墿灞曠幇鏈夋湇鍔★級猸愨瓙猸愨瓙猸?

2.3 鏁版嵁娴佽<E5A8B4>璁?

涓夈€佸姛鑳戒紭鍏堢骇鐭╅樀

3.1 P0绾э細蹇呴』寮€鍙戯紙鏍稿績闂<E7B8BE>幆锛夆瓙猸愨瓙猸愨瓙

3.2 P1绾э細蹇呴』楠岃瘉锛屽彲绠€鍖栧疄鐜?猸愨瓙猸愨瓙

3.3 P2绾э細寤跺悗鎴栦笉鍋?猸愨瓙

鍥涖€?鍛ㄨ<E98D9B>缁嗗紑鍙戣<E98D99>鍒?

Week 1锛氬熀纭€鏋舵瀯鎼<E780AF>缓锛?澶╋級

Day 1锛氱幆澧冩惌寤?+ 浠ｇ爜缁撴瀯锛堚殸锔?鍙傝€僼ool-b缁撴瀯 + Python鐜<6E><E9909C>锛?

Day 2锛歋ession绠＄悊 + 鏁版嵁鍔犺浇锛堚殸锔?瀛樻暟鎹<E69A9F>簱锛屼笉鐢ㄥ唴瀛橈級

Day 3锛歂ode.js BFF + 鏂囦欢涓婁紶

Day 4锛氬墠绔<E5A2A0><E7BB94>鏋舵惌寤?

Day 5锛歋ystem Prompt鏋勫缓

褰撳墠鏁版嵁缁撴瀯

鍓?琛屾暟鎹<E69A9F>ず渚?

涓ユ牸瑙勫垯

Few-shot绀轰緥锛堝垎灞傞毦搴︼細鍩虹<E98DA9>鈫掍腑绛夆啋楂樼骇锛?

馃煝 鍩虹<E98DA9>鍦烘櫙锛堝崟姝ラ<E5A79D>鎿嶄綔锛?

鍦烘櫙1锛氬勾榫勫垎缁?

鍦烘櫙2锛氬垹闄ょ己澶?

鍦烘櫙3锛氭€у埆缂栫爜

馃煛 涓<>瓑鍦烘櫙锛堝<E9949B>姝ラ<E5A79D>鎴栬法鍒楅€昏緫锛?

鍦烘櫙4锛氳<EFBFBD>绠桸LR骞跺垎缁?

鍦烘櫙5锛氬瓧绗︿覆鎷嗗垎锛堣<EFBFBD>鍘嬶級

鍦烘櫙6锛氭椂闂村樊璁＄畻锛堥€昏緫楠岃瘉锛?

馃敶 楂樼骇鍦烘櫙锛堝垎缁勮仛鍚堛€佹椂闂村簭鍒椼€佸尰瀛﹁<E7809B>鍒欙級

鍦烘櫙7锛氱敓瀛樻椂闂磋<EFBFBD>绠楋紙澶嶆潅鏉′欢閫昏緫锛?

鍦烘櫙8锛氬垎缁勮仛鍚堬紙棣栨湯璁板綍锛?

鍦烘櫙9锛氭椂闂村簭鍒楀彉鍖栫巼

鍦烘櫙10锛氬尰瀛﹁<EFBFBD>鍒欏紩鎿庯紙鑲濆姛鑳藉垎绾э級

Week 2锛氭牳蹇冨姛鑳藉紑鍙戯紙5澶╋級

Day 6-7锛欰I浠ｇ爜鐢熸垚 + AST妫€鏌?

Day 8锛氫唬鐮佹墽琛?+ 琛ㄦ牸鍒锋柊

Day 9锛歎I閿佸畾 + 棰勬搷浣滃崱鐗?

Day 10锛氬<E9949B>鍑?+ 绔<>埌绔<E59F8C>祴璇?

Week 3锛氫紭鍖栦笌娴嬭瘯锛?澶╋級

Day 11-12锛氶敊璇<E6958A><E79287>鐞?+ AI鑷<49>垜淇<E59E9C><E6B787>

Day 13锛氬揩鎹锋ā鏉?+ 缂栫爜妫€娴?

Day 14锛氭€ц兘娴嬭瘯 + 鍘嬪姏娴嬭瘯

Day 15锛氭枃妗?+ 婕旂ず鍑嗗<E98D91>

浜斻€侀<EFBFBD>闄╁簲瀵圭瓥鐣?

5.1 椋庨櫓娓呭崟涓庡簲瀵?

5.2 蹇<>€熷け璐ヨЕ鍙戝櫒

鍏<EFBFBD>€侀獙鏀舵爣鍑?

6.1 鍔熻兘楠屾敹娓呭崟

6.2 鎬ц兘楠屾敹鏍囧噯

6.3 瀹夊叏楠屾敹鏍囧噯

涓冦€佸揩閫熷け璐ユ満鍒?

7.1 鍏抽敭妫€鏌ョ偣

7.2 Pivot鍐崇瓥鏍?

鍏<EFBFBD>€侀檮褰?

8.1 娴嬭瘯鏁版嵁鍑嗗<E98D91>

8.2 10涓<30>吀鍨嬪満鏅<E6BA80>祴璇曠敤渚?

8.3 鐜<><E9909C>閰嶇疆娓呭崟

涔濄€侀」鐩<EFBFBD><EFBFBD>鐞?

9.1 鍥㈤槦閰嶇疆

9.2 娌熼€氭満鍒?

9.3 浠ｇ爜绠＄悊

鍗併€佹€荤粨

鏍稿績鎴愬姛瑕佺礌

椋庨櫓鎺у埗

鏃堕棿鑺傜偣

67 KiB

Raw Blame History

鈿狅笍寮€鍙戝墠蹇呰<E8B987>锛氫弗鏍奸伒瀹堢幇鏈夋灦鏋勪笌瑙勮寖

馃敶涓嶈<E6B693>閲嶅<E996B2>閫犺疆瀛愶紒澶嶇敤骞冲彴鑳藉姏

甯歌<EFBFBD>閿欒<EFBFBD>绀轰緥锛堚潓涓ョ<E6B693>锛?

馃搵鐩<>綍

2.1 鎬讳綋鏋舵瀯锛堢畝鍖栫増锛? 鈿狅笍閲嶈<E996B2>锛氬<E9949B>鐢ㄥ钩鍙拌兘鍔?

2.2 鎶€鏈<E282AC>爤閫夊瀷锛堚渽澶嶇敤鐜版湁鎶€鏈<E282AC>爤锛?

Python寰<EFBFBD>湇鍔★紙鈿狅笍鏍稿績鍔熻兘锛屾墿灞曠幇鏈夋湇鍔★級猸愨瓙猸愨瓙猸?

馃煝鍩虹<E98DA9>鍦烘櫙锛堝崟姝ラ<E5A79D>鎿嶄綔锛?

馃煛涓<>瓑鍦烘櫙锛堝<E9949B>姝ラ<E5A79D>鎴栬法鍒楅€昏緫锛?

馃敶楂樼骇鍦烘櫙锛堝垎缁勮仛鍚堛€佹椂闂村簭鍒椼€佸尰瀛﹁<E7809B>鍒欙級

馃摑鏂囨。淇<E38082><E6B787>璁板綍

V1.3锛?025-12-06锛? 鍙戠幇鐜版湁Python鏈嶅姟猸?閲嶅ぇ鍙戠幇

淇<EFBFBD><EFBFBD>1锛氬<EFBFBD>鐢ㄧ幇鏈塒ython鏈嶅姟锛屼笉閲嶅<EFBFBD>閫犺疆猸愨瓙猸愨瓙猸?

V1.2锛?025-12-06锛? Python鎵ц<E98EB5>鐜<EFBFBD><E9909C> + 澶嶆潅鍦烘櫙鈿狅笍鏍稿績鍔熻兘

淇<EFBFBD><EFBFBD>2锛氭祴璇曞満鏅<EFBFBD>粠绠€鍗曞埌澶嶆潅鉁?

V1.1锛?025-12-06锛? 鏋舵瀯鍚堣<E98D9A>鎬т慨姝?鈿狅笍閲嶈<E996B2>

淇<EFBFBD><EFBFBD>2锛歋ession瀛樺偍鏂瑰紡鉁?

淇<EFBFBD><EFBFBD>3锛氭枃浠跺す缁撴瀯鉁?

淇<EFBFBD><EFBFBD>4锛氭妧鏈<EFBFBD>爤璇存槑鉁?

鏂板<EFBFBD>绔犺妭鉁?