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/schemas/weather.py

@@ -0,0 +1,38 @@
+import uuid
+from datetime import date, datetime
+from pydantic import BaseModel
+from app.models.weather import ForecastType, AlertSeverity
+
+
+class WeatherDataResponse(BaseModel):
+    id: uuid.UUID
+    project_id: uuid.UUID
+    forecast_date: date
+    forecast_type: ForecastType
+    temperature_high: float | None
+    temperature_low: float | None
+    precipitation_mm: float | None
+    wind_speed_ms: float | None
+    weather_code: str | None
+    fetched_at: datetime
+
+    model_config = {"from_attributes": True}
+
+
+class WeatherAlertResponse(BaseModel):
+    id: uuid.UUID
+    project_id: uuid.UUID
+    task_id: uuid.UUID | None
+    alert_date: date
+    alert_type: str
+    severity: AlertSeverity
+    message: str
+    is_acknowledged: bool
+    created_at: datetime
+
+    model_config = {"from_attributes": True}
+
+
+class WeatherForecastSummary(BaseModel):
+    forecast: list[WeatherDataResponse]
+    active_alerts: list[WeatherAlertResponse]