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>

docker-compose.yml

@@ -0,0 +1,46 @@
+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: