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>
47 lines
921 B
YAML
47 lines
921 B
YAML
version: "3.8"
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services:
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# PostgreSQL with pgvector (for local development)
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db:
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image: pgvector/pgvector:pg16
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environment:
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POSTGRES_USER: postgres
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POSTGRES_PASSWORD: postgres
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POSTGRES_DB: conai
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ports:
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- "5432:5432"
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volumes:
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- postgres_data:/var/lib/postgresql/data
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# Backend
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backend:
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build:
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context: ./backend
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dockerfile: Dockerfile
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env_file: ./backend/.env
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ports:
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- "8000:8000"
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depends_on:
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- db
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volumes:
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- ./backend:/app
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command: uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload
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# Frontend
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frontend:
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build:
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context: ./frontend
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dockerfile: Dockerfile
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environment:
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NEXT_PUBLIC_API_URL: http://localhost:8000
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ports:
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- "3000:3000"
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volumes:
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- ./frontend:/app
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- /app/node_modules
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- /app/.next
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command: npm run dev
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volumes:
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postgres_data:
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