d42380ff63
- ai-service: 챗봇 분석/요약 엔드포인트 추가 (chatbot.py, chatbot_service.py) - tkreport: 챗봇 신고 페이지 (chat-report.html/js/css), nginx ai-api 프록시 - tkreport: 이미지 업로드 서비스 개선, M-Project 연동 신고자 정보 전달 - system1: TBM 작업보고서 UI 개선 - TKQC: 관리함/수신함 기능 개선 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
from fastapi import APIRouter, HTTPException
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from pydantic import BaseModel
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from services.chatbot_service import analyze_user_input, summarize_report
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router = APIRouter(tags=["chatbot"])
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class AnalyzeRequest(BaseModel):
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user_text: str
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categories: dict = {}
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class SummarizeRequest(BaseModel):
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description: str = ""
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type: str = ""
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category: str = ""
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item: str = ""
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location: str = ""
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project: str = ""
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@router.post("/chatbot/analyze")
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async def chatbot_analyze(req: AnalyzeRequest):
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try:
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result = await analyze_user_input(req.user_text, req.categories)
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return {"success": True, **result}
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except Exception as e:
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raise HTTPException(status_code=500, detail="AI 분석 중 오류가 발생했습니다")
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@router.post("/chatbot/summarize")
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async def chatbot_summarize(req: SummarizeRequest):
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try:
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result = await summarize_report(req.model_dump())
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return {"success": True, **result}
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except Exception as e:
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raise HTTPException(status_code=500, detail="AI 요약 중 오류가 발생했습니다")
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