2a4950d8a0
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>
26 lines
752 B
Python
26 lines
752 B
Python
from .user import User
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from .project import Project, WBSItem
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from .task import Task, TaskDependency
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from .daily_report import DailyReport, DailyReportPhoto
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from .report import Report
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from .inspection import InspectionRequest
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from .quality import QualityTest
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from .weather import WeatherData, WeatherAlert
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from .permit import PermitItem
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from .rag import RagSource, RagChunk
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from .settings import ClientProfile, AlertRule, WorkTypeLibrary
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__all__ = [
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"User",
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"Project", "WBSItem",
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"Task", "TaskDependency",
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"DailyReport", "DailyReportPhoto",
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"Report",
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"InspectionRequest",
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"QualityTest",
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"WeatherData", "WeatherAlert",
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"PermitItem",
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"RagSource", "RagChunk",
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"ClientProfile", "AlertRule", "WorkTypeLibrary",
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]
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