Files
conai/docker-compose.yml
sinmb79 2a4950d8a0 feat: CONAI Phase 1 MVP 초기 구현
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>
2026-03-24 20:06:36 +09:00

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YAML

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