b3012b8320
- ai-service: Ollama 기반 AI 서비스 (분류, 시맨틱 검색, RAG Q&A, 패턴 분석) - AI 어시스턴트 페이지: 채팅형 Q&A, 시맨틱 검색, 패턴 분석, 분류 테스트 - 권한 시스템에 ai_assistant 페이지 등록 (기본 비활성) - 기존 페이지에 AI 기능 통합 (대시보드, 수신함, 관리함) - docker-compose, gateway, nginx 설정 업데이트 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
from fastapi import APIRouter
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from pydantic import BaseModel
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from services.classification_service import (
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classify_issue,
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summarize_issue,
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classify_and_summarize,
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)
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router = APIRouter(tags=["classification"])
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class ClassifyRequest(BaseModel):
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description: str
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detail_notes: str = ""
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class SummarizeRequest(BaseModel):
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description: str
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detail_notes: str = ""
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solution: str = ""
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@router.post("/classify")
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async def classify(req: ClassifyRequest):
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try:
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result = await classify_issue(req.description, req.detail_notes)
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return {"available": True, **result}
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except Exception as e:
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return {"available": False, "error": str(e)}
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@router.post("/summarize")
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async def summarize(req: SummarizeRequest):
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try:
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result = await summarize_issue(req.description, req.detail_notes, req.solution)
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return {"available": True, **result}
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except Exception as e:
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return {"available": False, "error": str(e)}
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@router.post("/classify-and-summarize")
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async def classify_and_summarize_endpoint(req: ClassifyRequest):
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try:
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result = await classify_and_summarize(req.description, req.detail_notes)
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return {"available": True, **result}
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except Exception as e:
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return {"available": False, "error": str(e)}
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