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
3.1 KiB
Python
50 lines
3.1 KiB
Python
"""健康度评分模型。
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多维度评分：财务、经营、AI+ 商业化、AI+ 成本（基础 4 维度）。
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T2.9 扩展：组织人才、产品技术、市场竞争、治理合规、融资资本（9 维度）。
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T3.11 扩展：协同赋能、AI 模型产品、数据合规、团队技术、客户成功（14 维度）。
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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
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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 HealthScore(Base):
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"""健康度评分。"""
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__tablename__ = "health_scores"
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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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total_score: Mapped[float] = mapped_column(Float, nullable=False, comment="总分（0-100）")
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# 基础 4 维度
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financial_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="财务健康度")
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operational_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="经营健康度")
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ai_commercial_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="AI+ 商业化健康度")
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ai_cost_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="AI+ 成本健康度")
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# T2.9 扩展 5 维度
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org_talent_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="组织人才健康度")
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product_tech_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="产品技术健康度")
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market_compete_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="市场竞争健康度")
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governance_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="治理合规健康度")
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financing_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="融资资本健康度")
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# T3.11 扩展 5 维度
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synergy_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="协同赋能健康度")
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ai_model_product_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="AI 模型产品健康度")
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data_compliance_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="数据合规健康度")
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team_tech_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="团队技术健康度")
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customer_success_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="客户成功健康度")
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# 元数据
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trend: Mapped[str | None] = mapped_column(String(20), nullable=True, comment="趋势：up/stable/down")
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evidence_json: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="评分依据")
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recommendations_json: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="建议动作")
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calculated_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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