2a4950d8a0
소형 건설업체(100억 미만)를 위한 AI 기반 토목공사 통합관리 플랫폼 Backend (FastAPI): - SQLAlchemy 모델 13개 (users, projects, wbs, tasks, daily_reports, reports, inspections, quality, weather, permits, rag, settings) - API 라우터 11개 (auth, projects, tasks, daily_reports, reports, inspections, weather, rag, kakao, permits, settings) - Services: Claude AI 래퍼, CPM Gantt 계산, 기상청 API, RAG(pgvector), 카카오 Skill API - Alembic 마이그레이션 (pgvector 포함) - pytest 테스트 (CPM, 날씨 경보) Frontend (Next.js 15): - 11개 페이지 (대시보드, 프로젝트, Gantt, 일보, 검측, 품질, 날씨, 인허가, RAG, 설정) - TanStack Query + Zustand + Tailwind CSS 인프라: - Docker Compose (PostgreSQL pgvector + backend + frontend) - 한국어 README 및 설치 가이드 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
74 lines
2.6 KiB
Python
74 lines
2.6 KiB
Python
import uuid
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from fastapi import APIRouter, HTTPException, status, UploadFile, File
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from sqlalchemy import select, func
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from app.deps import CurrentUser, DB
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from app.models.rag import RagSource, RagChunk
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from app.schemas.rag import RagAskRequest, RagAskResponse, RagSourceCreate, RagSourceResponse, RagSource as RagSourceSchema
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from app.services.rag_service import ask
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router = APIRouter(prefix="/rag", tags=["법규/시방서 Q&A (RAG)"])
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@router.post("/ask", response_model=RagAskResponse)
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async def ask_question(data: RagAskRequest, db: DB, current_user: CurrentUser):
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"""Ask a question about construction laws and specifications."""
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source_types = [st.value for st in data.source_types] if data.source_types else None
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result = await ask(db, data.question, data.top_k, source_types)
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sources = [
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RagSourceSchema(
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id=uuid.UUID(s["id"]),
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title=s["title"],
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source_type=s["source_type"],
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chunk_content=s["content"][:500], # Truncate for response
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relevance_score=s["relevance_score"],
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)
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for s in result.get("sources", [])
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]
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return RagAskResponse(
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question=result["question"],
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answer=result["answer"],
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sources=sources,
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)
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@router.get("/sources", response_model=list[RagSourceResponse])
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async def list_sources(db: DB, current_user: CurrentUser):
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"""List all indexed RAG sources with chunk counts."""
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result = await db.execute(
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select(RagSource, func.count(RagChunk.id).label("chunk_count"))
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.outerjoin(RagChunk, RagChunk.source_id == RagSource.id)
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.group_by(RagSource.id)
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.order_by(RagSource.created_at.desc())
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)
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rows = result.fetchall()
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return [
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RagSourceResponse(
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id=row.RagSource.id,
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title=row.RagSource.title,
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source_type=row.RagSource.source_type,
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source_url=row.RagSource.source_url,
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chunk_count=row.chunk_count,
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created_at=row.RagSource.created_at,
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)
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for row in rows
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]
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@router.post("/sources", response_model=RagSourceResponse, status_code=status.HTTP_201_CREATED)
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async def create_source(data: RagSourceCreate, db: DB, current_user: CurrentUser):
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"""Register a new RAG source (metadata only; content indexed separately)."""
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source = RagSource(**data.model_dump())
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db.add(source)
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await db.commit()
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await db.refresh(source)
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return RagSourceResponse(
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id=source.id,
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title=source.title,
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source_type=source.source_type,
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source_url=source.source_url,
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chunk_count=0,
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created_at=source.created_at,
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)
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