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>
58 lines
1.4 KiB
Python
58 lines
1.4 KiB
Python
from fastapi import APIRouter
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from pydantic import BaseModel
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from services.rag_service import (
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rag_suggest_solution,
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rag_ask,
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rag_analyze_pattern,
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rag_classify_with_context,
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)
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router = APIRouter(tags=["rag"])
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class AskRequest(BaseModel):
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question: str
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project_id: int | None = None
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class PatternRequest(BaseModel):
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description: str
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n_results: int = 10
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class ClassifyRequest(BaseModel):
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description: str
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detail_notes: str = ""
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@router.post("/rag/suggest-solution/{issue_id}")
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async def suggest_solution(issue_id: int):
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try:
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return await rag_suggest_solution(issue_id)
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except Exception as e:
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return {"available": False, "error": str(e)}
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@router.post("/rag/ask")
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async def ask_question(req: AskRequest):
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try:
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return await rag_ask(req.question, req.project_id)
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except Exception as e:
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return {"available": False, "error": str(e)}
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@router.post("/rag/pattern")
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async def analyze_pattern(req: PatternRequest):
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try:
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return await rag_analyze_pattern(req.description, req.n_results)
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except Exception as e:
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return {"available": False, "error": str(e)}
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@router.post("/rag/classify")
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async def classify_with_rag(req: ClassifyRequest):
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try:
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return await rag_classify_with_context(req.description, req.detail_notes)
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except Exception as e:
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return {"available": False, "error": str(e)}
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