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>

backend/app/models/__init__.py

@@ -0,0 +1,25 @@
+from .user import User
+from .project import Project, WBSItem
+from .task import Task, TaskDependency
+from .daily_report import DailyReport, DailyReportPhoto
+from .report import Report
+from .inspection import InspectionRequest
+from .quality import QualityTest
+from .weather import WeatherData, WeatherAlert
+from .permit import PermitItem
+from .rag import RagSource, RagChunk
+from .settings import ClientProfile, AlertRule, WorkTypeLibrary
+
+__all__ = [
+    "User",
+    "Project", "WBSItem",
+    "Task", "TaskDependency",
+    "DailyReport", "DailyReportPhoto",
+    "Report",
+    "InspectionRequest",
+    "QualityTest",
+    "WeatherData", "WeatherAlert",
+    "PermitItem",
+    "RagSource", "RagChunk",
+    "ClientProfile", "AlertRule", "WorkTypeLibrary",
+]