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）
50 lines
2.3 KiB
Python
50 lines
2.3 KiB
Python
"""干预事件与结果模型。
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投后管理 Alpha 归因 — 干预事件 → 指标变化 → 估值影响 → 回报贡献。
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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, 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 InterventionEvent(Base):
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"""干预事件。"""
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__tablename__ = "intervention_events"
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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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intervention_type: Mapped[str] = mapped_column(String(50), nullable=False, comment="recruitment/customer_intro/strategy/governance/crisis/funding")
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title: Mapped[str] = mapped_column(String(200), nullable=False)
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description: Mapped[str | None] = mapped_column(Text, nullable=True)
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executed_by: Mapped[str | None] = mapped_column(String(36), ForeignKey("users.id"), nullable=True)
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executed_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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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 InterventionResult(Base):
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"""干预结果。"""
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__tablename__ = "intervention_results"
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id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
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intervention_id: Mapped[str] = mapped_column(String(36), ForeignKey("intervention_events.id"), nullable=False, index=True)
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metric_changes: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="指标变化")
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valuation_impact: Mapped[float | None] = mapped_column(Float, nullable=True, comment="估值影响")
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return_contribution: Mapped[float | None] = mapped_column(Float, nullable=True, comment="回报贡献")
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alpha_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="Alpha 归因评分")
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evidence: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="证据链")
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measured_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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