selfrelease
51feae55ba
- 后端：FastAPI + SQLAlchemy + Alembic，7 张核心表迁移成功 - 前端：Next.js 16 + TailwindCSS 4 + 三端布局（投资人/创始人/Admin） - 数据库：PostgreSQL 16，7 张核心实体表（tenants/users/companies/monthly_reports/health_scores/risk_events/audit_logs） - Docker：docker-compose.yml + 前后端 Dockerfile - 测试：健康检查 4 个测试全部 GREEN - 文档：README/run.md/AGENTS.md/docs 体系完整
45 lines
2.1 KiB
Python
45 lines
2.1 KiB
Python
"""月报模型。
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被投企业按月提交的经营报告，支持 AI 解析。
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"""
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import uuid
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from datetime import datetime, timezone
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from sqlalchemy import DateTime, ForeignKey, Integer, String, Text
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from sqlalchemy.dialects.postgresql import JSONB
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from sqlalchemy.orm import Mapped, mapped_column
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from app.core.database import Base
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class MonthlyReport(Base):
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"""月报。"""
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__tablename__ = "monthly_reports"
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id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
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company_id: Mapped[str] = mapped_column(String(36), ForeignKey("companies.id"), nullable=False, index=True)
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period_year: Mapped[int] = mapped_column(Integer, nullable=False, comment="报告年份")
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period_month: Mapped[int] = mapped_column(Integer, nullable=False, comment="报告月份（1-12）")
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status: Mapped[str] = mapped_column(
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String(50), nullable=False, default="draft",
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comment="状态：draft/submitted/ai_parsed/reviewed",
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)
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raw_content: Mapped[str | None] = mapped_column(Text, nullable=True, comment="原始内容")
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structured_data: Mapped[dict | None] = mapped_column(JSONB, nullable=True, comment="结构化指标数据")
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ai_summary: Mapped[str | None] = mapped_column(Text, nullable=True, comment="AI 生成的摘要")
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ai_concerns: Mapped[dict | None] = mapped_column(JSONB, nullable=True, comment="AI 关注点列表")
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submitted_by: Mapped[str | None] = mapped_column(String(36), ForeignKey("users.id"), nullable=True)
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submitted_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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reviewed_by: Mapped[str | None] = mapped_column(String(36), ForeignKey("users.id"), nullable=True)
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reviewed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
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)
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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default=lambda: datetime.now(timezone.utc),
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onupdate=lambda: datetime.now(timezone.utc),
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)
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