selfrelease
fad458b2a7
- UIUX 文档：填充 19 个缺口（多主体画像/健康度/AI+看板/增长域/洞察域/创始人端/OODA/助推/商密） - UIUX 文档：插入 6 个新章节（十四~十九），旧章节重编号为二十~三十一，更新目录和交叉引用 - 作业指导书 x5：导航改为 6 域分组，新增 Context Bar/工作模式/Insight Rail/决策线程/多工作区等 UI 概念 - 新建 docs/2-task-uiux.md：50 个代码落地开发任务，按 P0-P6 分优先级 + 8 Sprint 规划 - 后端/前端：大量新增模型、路由、组件（来自之前 Phase 开发）
46 lines
2.3 KiB
Python
46 lines
2.3 KiB
Python
"""组合再平衡 + Monte Carlo 模拟模型。"""
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import uuid
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from datetime import datetime, timezone
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from sqlalchemy import DateTime, Float, ForeignKey, String, Text
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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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from app.core.types import JSONBType
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class PortfolioRebalancing(Base):
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"""组合再平衡建议。"""
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__tablename__ = "portfolio_rebalancings"
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id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
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tenant_id: Mapped[str] = mapped_column(String(36), ForeignKey("tenants.id"), nullable=False, index=True)
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marginal_returns: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="各企业边际回报率")
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reallocation_plan: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="再平衡方案")
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irr_impact: Mapped[float | None] = mapped_column(Float, nullable=True, comment="IRR 影响")
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dpi_impact: Mapped[float | None] = mapped_column(Float, nullable=True, comment="DPI 影响")
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status: Mapped[str] = mapped_column(String(20), nullable=False, default="proposed", comment="proposed/approved/executed")
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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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class MonteCarloSimulation(Base):
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"""Monte Carlo 模拟结果。"""
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__tablename__ = "monte_carlo_simulations"
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id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
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tenant_id: Mapped[str] = mapped_column(String(36), ForeignKey("tenants.id"), nullable=False, index=True)
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iterations: Mapped[int] = mapped_column(nullable=False, default=10000, comment="模拟次数")
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irr_distribution: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="IRR 概率分布")
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dpi_distribution: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="DPI 概率分布")
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percentile_p5: Mapped[float | None] = mapped_column(Float, nullable=True)
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percentile_p50: Mapped[float | None] = mapped_column(Float, nullable=True)
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percentile_p95: Mapped[float | None] = mapped_column(Float, 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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