docs(uiux): UIUX 设计方案大改 + 5 份作业指导书对齐 + 开发任务文档
- 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）
This commit is contained in:
selfrelease
@@ -3,20 +3,83 @@
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导入所有模型以便 Alembic 自动发现。
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"""
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from app.models.aar import AARRecord
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from app.models.agent_execution import AgentExecution
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from app.models.agreement import InvestmentAgreement
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from app.models.audit import AuditLog
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from app.models.board import BoardMeeting
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from app.models.company import Company
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from app.models.customer_plan import CustomerAcquisitionPlan
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from app.models.data_source import DataSource
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from app.models.decision_sentinel import DecisionSentinel
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from app.models.digital_twin import DigitalTwinModel
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from app.models.exit_prediction import ExitPrediction
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from app.models.financial_data import FinancialData
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from app.models.health_score import HealthScore
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from app.models.hypothesis import Hypothesis
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from app.models.inquiry import InquiryList
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from app.models.intervention import InterventionEvent, InterventionResult
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from app.models.knowledge import KnowledgeChunk
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from app.models.knowledge_graph import KnowledgeNode
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from app.models.major_event import MajorEvent
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from app.models.milestone import MilestoneTree
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from app.models.nudge import NudgeRecord
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from app.models.okr import OKR
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from app.models.peer_circle import PeerLearningCircle
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from app.models.portfolio_simulation import MonteCarloSimulation, PortfolioRebalancing
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from app.models.pre_mortem import PreMortemRecord, RedTeamRecord
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from app.models.product_diagnostic import ProductDiagnostic
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from app.models.profile import FirmProfile, FundProfile, ManagerProfile
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from app.models.report import MonthlyReport
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from app.models.risk import RiskEvent
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from app.models.synergy import SynergyOpportunity
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from app.models.talent import TalentProfile, TeamMember
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from app.models.task import Comment, Task
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from app.models.tenant import Tenant
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from app.models.user import User
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from app.models.weak_signal import WeakSignal
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__all__ = [
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"AARRecord",
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"AgentExecution",
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"AuditLog",
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"BoardMeeting",
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"Comment",
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"Company",
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"CustomerAcquisitionPlan",
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"DataSource",
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"DecisionSentinel",
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"DigitalTwinModel",
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"ExitPrediction",
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"FinancialData",
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"FirmProfile",
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"FundProfile",
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"HealthScore",
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"Hypothesis",
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"InquiryList",
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"InterventionEvent",
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"InterventionResult",
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"InvestmentAgreement",
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"KnowledgeChunk",
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"KnowledgeNode",
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"MajorEvent",
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"ManagerProfile",
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"MilestoneTree",
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"MonteCarloSimulation",
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"MonthlyReport",
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"NudgeRecord",
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"OKR",
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"PeerLearningCircle",
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"PortfolioRebalancing",
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"PreMortemRecord",
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"ProductDiagnostic",
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"RedTeamRecord",
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"RiskEvent",
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"SynergyOpportunity",
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"TalentProfile",
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"Task",
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"TeamMember",
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"Tenant",
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"User",
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"WeakSignal",
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]
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@@ -0,0 +1,29 @@
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"""AAR 系统化复盘模型。"""
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import uuid
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from datetime import datetime, timezone
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from sqlalchemy import DateTime, 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 AARRecord(Base):
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"""AAR 复盘记录。"""
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__tablename__ = "aar_records"
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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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trigger_event: Mapped[str] = mapped_column(String(200), nullable=False, comment="触发事件")
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original_plan: Mapped[str | None] = mapped_column(Text, nullable=True, comment="原计划")
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actual_result: Mapped[str | None] = mapped_column(Text, nullable=True, comment="实际结果")
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gap_analysis: Mapped[str | None] = mapped_column(Text, nullable=True, comment="差异分析")
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lessons: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="五问复盘结论")
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improvements: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="改进措施 + 执行追踪")
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knowledge_graph_ref: Mapped[str | None] = mapped_column(String(36), nullable=True, comment="知识图谱节点 ID")
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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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@@ -0,0 +1,35 @@
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"""Agent 执行记录模型。
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L1-L4 分级自治执行。
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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, 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 AgentExecution(Base):
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"""Agent 执行记录。"""
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__tablename__ = "agent_executions"
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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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agent_name: Mapped[str] = mapped_column(String(100), nullable=False, comment="Agent 名称")
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autonomy_level: Mapped[str] = mapped_column(String(10), nullable=False, comment="L1/L2/L3/L4")
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input_summary: Mapped[str | None] = mapped_column(Text, nullable=True, comment="输入摘要")
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output_summary: Mapped[str | None] = mapped_column(Text, nullable=True, comment="输出摘要")
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output_detail: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="输出详情")
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review_status: Mapped[str] = mapped_column(String(20), nullable=False, default="pending", comment="pending/approved/rejected/auto_approved")
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reviewer_id: 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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model_version: Mapped[str | None] = mapped_column(String(50), nullable=True)
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duration_ms: Mapped[int | None] = mapped_column(nullable=True, comment="执行耗时")
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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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@@ -0,0 +1,36 @@
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"""投资协议模型。
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协议条款提取与持续监控。
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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, 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 InvestmentAgreement(Base):
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"""投资协议。"""
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__tablename__ = "investment_agreements"
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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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title: Mapped[str] = mapped_column(String(200), nullable=False, comment="协议名称")
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signed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="签署日期")
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file_url: Mapped[str | None] = mapped_column(String(500), nullable=True, comment="文件 URL")
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key_clauses: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="关键条款 JSON")
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monitoring_rules: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="监控规则")
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status: Mapped[str] = mapped_column(String(20), nullable=False, default="active", comment="active/expired/terminated")
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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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@@ -0,0 +1,38 @@
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"""董事会会议模型。
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议程、纪要、决议追踪。
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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, 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 BoardMeeting(Base):
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"""董事会会议。"""
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__tablename__ = "board_meetings"
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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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title: Mapped[str] = mapped_column(String(200), nullable=False, comment="会议主题")
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meeting_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="会议时间")
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status: Mapped[str] = mapped_column(String(20), nullable=False, default="scheduled", comment="scheduled/in_progress/completed")
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agenda: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="议程列表")
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materials_summary: Mapped[str | None] = mapped_column(Text, nullable=True, comment="AI 会前材料摘要")
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minutes: Mapped[str | None] = mapped_column(Text, nullable=True, comment="会议纪要")
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resolutions: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="决议列表 — 含状态追踪")
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questions: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="AI 提问清单")
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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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@@ -0,0 +1,38 @@
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"""客户获取计划模型。
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AI 客户增长引擎 — LP 资源匹配 + 客户获取方案。
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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, 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 CustomerAcquisitionPlan(Base):
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"""客户获取计划。"""
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__tablename__ = "customer_acquisition_plans"
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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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target_customer: Mapped[str | None] = mapped_column(Text, nullable=True, comment="目标客户画像")
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entry_angle: Mapped[str | None] = mapped_column(Text, nullable=True, comment="切入角度")
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decision_chain: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="决策链分析")
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pricing_strategy: Mapped[str | None] = mapped_column(Text, nullable=True, comment="定价策略")
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competitive_analysis: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="竞争分析")
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lp_resources: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="可利用 LP 资源")
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execution_status: Mapped[str] = mapped_column(String(20), nullable=False, default="planned", comment="planned/executing/completed/failed")
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result: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="执行结果")
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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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@@ -0,0 +1,35 @@
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"""数据源模型。"""
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import uuid
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from datetime import datetime, timezone
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from sqlalchemy import DateTime, 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 DataSource(Base):
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"""外部数据源配置。"""
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__tablename__ = "data_sources"
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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 | None] = mapped_column(String(36), ForeignKey("companies.id"), nullable=True, index=True)
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tenant_id: Mapped[str] = mapped_column(String(36), ForeignKey("tenants.id"), nullable=False, index=True)
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source_type: Mapped[str] = mapped_column(String(50), nullable=False, comment="crunchbase/business_registry/github/custom")
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name: Mapped[str] = mapped_column(String(200), nullable=False)
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api_endpoint: Mapped[str | None] = mapped_column(String(500), nullable=True)
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api_key_encrypted: Mapped[str | None] = mapped_column(Text, nullable=True, comment="加密后的 API Key")
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config: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="配置参数")
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last_synced_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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status: Mapped[str] = mapped_column(String(20), nullable=False, default="inactive", comment="active/inactive/error")
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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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@@ -0,0 +1,39 @@
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"""决策前哨模型。
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识别企业关键决策岔路口，AI 提前生成场景分析。
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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, 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 DecisionSentinel(Base):
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"""决策前哨。"""
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__tablename__ = "decision_sentinels"
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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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decision_type: Mapped[str] = mapped_column(String(50), nullable=False, comment="pivot/hiring/funding/product/org")
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title: Mapped[str] = mapped_column(String(200), nullable=False, comment="决策标题")
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description: Mapped[str | None] = mapped_column(Text, nullable=True)
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signals: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="触发信号列表")
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scenarios: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="场景分析 — A 路线 vs B 路线")
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status: Mapped[str] = mapped_column(String(20), nullable=False, default="identified", comment="identified/analyzed/acted/dismissed")
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identified_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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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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@@ -0,0 +1,31 @@
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"""数字孪生模型。"""
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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 DigitalTwinModel(Base):
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"""数字孪生。"""
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__tablename__ = "digital_twins"
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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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model_params: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="模型参数")
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scenarios: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="模拟场景列表")
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accuracy_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="精度评分（0-1）")
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last_calibrated_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
updated_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True),
|
||||
default=lambda: datetime.now(timezone.utc),
|
||||
onupdate=lambda: datetime.now(timezone.utc),
|
||||
)
|
||||
@@ -0,0 +1,29 @@
|
||||
"""退出预测模型。"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import DateTime, Float, ForeignKey, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
from app.core.types import JSONBType
|
||||
|
||||
|
||||
class ExitPrediction(Base):
|
||||
"""退出时机预测。"""
|
||||
|
||||
__tablename__ = "exit_predictions"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
company_id: Mapped[str] = mapped_column(String(36), ForeignKey("companies.id"), nullable=False, index=True)
|
||||
exit_path: Mapped[str | None] = mapped_column(String(50), nullable=True, comment="ipo/acquisition/secondary/merger")
|
||||
timing_window: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="时机窗口 — 起止时间")
|
||||
expected_return: Mapped[float | None] = mapped_column(Float, nullable=True, comment="期望收益率")
|
||||
hold_return: Mapped[float | None] = mapped_column(Float, nullable=True, comment="继续持有预期收益率")
|
||||
confidence: Mapped[float | None] = mapped_column(Float, nullable=True, comment="置信度")
|
||||
signals: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="退出信号")
|
||||
recommendation: Mapped[str | None] = mapped_column(Text, nullable=True, comment="退出建议")
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
@@ -0,0 +1,37 @@
|
||||
"""财务数据模型。
|
||||
|
||||
资产负债表、利润表、现金流量表、科目余额。
|
||||
"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import DateTime, Float, ForeignKey, Integer, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
from app.core.types import JSONBType
|
||||
|
||||
|
||||
class FinancialData(Base):
|
||||
"""财务数据。"""
|
||||
|
||||
__tablename__ = "financial_data"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
company_id: Mapped[str] = mapped_column(String(36), ForeignKey("companies.id"), nullable=False, index=True)
|
||||
period_year: Mapped[int] = mapped_column(Integer, nullable=False, comment="年份")
|
||||
period_month: Mapped[int] = mapped_column(Integer, nullable=False, comment="月份")
|
||||
statement_type: Mapped[str] = mapped_column(String(50), nullable=False, comment="balance_sheet/income/cash_flow")
|
||||
data_json: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="财务数据 JSON")
|
||||
source: Mapped[str | None] = mapped_column(String(100), nullable=True, comment="数据来源")
|
||||
credibility_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="可信度评分（0-100）")
|
||||
validation_result: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="校验结果")
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
updated_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True),
|
||||
default=lambda: datetime.now(timezone.utc),
|
||||
onupdate=lambda: datetime.now(timezone.utc),
|
||||
)
|
||||
@@ -1,6 +1,8 @@
|
||||
"""健康度评分模型。
|
||||
|
||||
多维度评分：财务、经营、AI+ 商业化、AI+ 成本。
|
||||
多维度评分：财务、经营、AI+ 商业化、AI+ 成本（基础 4 维度）。
|
||||
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）。
|
||||
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）。
|
||||
"""
|
||||
|
||||
import uuid
|
||||
@@ -21,10 +23,24 @@ class HealthScore(Base):
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
company_id: Mapped[str] = mapped_column(String(36), ForeignKey("companies.id"), nullable=False, index=True)
|
||||
total_score: Mapped[float] = mapped_column(Float, nullable=False, comment="总分（0-100）")
|
||||
# 基础 4 维度
|
||||
financial_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="财务健康度")
|
||||
operational_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="经营健康度")
|
||||
ai_commercial_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="AI+ 商业化健康度")
|
||||
ai_cost_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="AI+ 成本健康度")
|
||||
# T2.9 扩展 5 维度
|
||||
org_talent_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="组织人才健康度")
|
||||
product_tech_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="产品技术健康度")
|
||||
market_compete_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="市场竞争健康度")
|
||||
governance_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="治理合规健康度")
|
||||
financing_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="融资资本健康度")
|
||||
# T3.11 扩展 5 维度
|
||||
synergy_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="协同赋能健康度")
|
||||
ai_model_product_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="AI 模型产品健康度")
|
||||
data_compliance_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="数据合规健康度")
|
||||
team_tech_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="团队技术健康度")
|
||||
customer_success_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="客户成功健康度")
|
||||
# 元数据
|
||||
trend: Mapped[str | None] = mapped_column(String(20), nullable=True, comment="趋势：up/stable/down")
|
||||
evidence_json: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="评分依据")
|
||||
recommendations_json: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="建议动作")
|
||||
|
||||
@@ -0,0 +1,35 @@
|
||||
"""BML 认知追踪模型。
|
||||
|
||||
假设/实验/数据/结论 — Build-Measure-Learn 循环。
|
||||
"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import DateTime, ForeignKey, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
from app.core.types import JSONBType
|
||||
|
||||
|
||||
class Hypothesis(Base):
|
||||
"""BML 认知追踪 — 假设记录。"""
|
||||
|
||||
__tablename__ = "hypotheses"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
company_id: Mapped[str] = mapped_column(String(36), ForeignKey("companies.id"), nullable=False, index=True)
|
||||
hypothesis: Mapped[str] = mapped_column(Text, nullable=False, comment="假设")
|
||||
experiment: Mapped[str | None] = mapped_column(Text, nullable=True, comment="验证实验")
|
||||
data: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="实验数据")
|
||||
conclusion: Mapped[str | None] = mapped_column(Text, nullable=True, comment="结论")
|
||||
status: Mapped[str] = mapped_column(String(20), nullable=False, default="building", comment="building/measuring/learning/validated/invalidated")
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
updated_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True),
|
||||
default=lambda: datetime.now(timezone.utc),
|
||||
onupdate=lambda: datetime.now(timezone.utc),
|
||||
)
|
||||
@@ -0,0 +1,37 @@
|
||||
"""追问清单模型。
|
||||
|
||||
AI 根据月报数据生成补充问题，企业可回复。
|
||||
"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import DateTime, ForeignKey, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
from app.core.types import JSONBType
|
||||
|
||||
|
||||
class InquiryList(Base):
|
||||
"""追问清单。"""
|
||||
|
||||
__tablename__ = "inquiry_lists"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
company_id: Mapped[str] = mapped_column(String(36), ForeignKey("companies.id"), nullable=False, index=True)
|
||||
report_id: Mapped[str | None] = mapped_column(String(36), ForeignKey("monthly_reports.id"), nullable=True)
|
||||
questions: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="问题列表 — 含问题和回答")
|
||||
status: Mapped[str] = mapped_column(String(20), nullable=False, default="sent", comment="sent/answered/closed")
|
||||
sent_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
answered_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
updated_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True),
|
||||
default=lambda: datetime.now(timezone.utc),
|
||||
onupdate=lambda: datetime.now(timezone.utc),
|
||||
)
|
||||
@@ -0,0 +1,49 @@
|
||||
"""干预事件与结果模型。
|
||||
|
||||
投后管理 Alpha 归因 — 干预事件 → 指标变化 → 估值影响 → 回报贡献。
|
||||
"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import DateTime, Float, ForeignKey, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
from app.core.types import JSONBType
|
||||
|
||||
|
||||
class InterventionEvent(Base):
|
||||
"""干预事件。"""
|
||||
|
||||
__tablename__ = "intervention_events"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
company_id: Mapped[str] = mapped_column(String(36), ForeignKey("companies.id"), nullable=False, index=True)
|
||||
intervention_type: Mapped[str] = mapped_column(String(50), nullable=False, comment="recruitment/customer_intro/strategy/governance/crisis/funding")
|
||||
title: Mapped[str] = mapped_column(String(200), nullable=False)
|
||||
description: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
executed_by: Mapped[str | None] = mapped_column(String(36), ForeignKey("users.id"), nullable=True)
|
||||
executed_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
|
||||
|
||||
class InterventionResult(Base):
|
||||
"""干预结果。"""
|
||||
|
||||
__tablename__ = "intervention_results"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
intervention_id: Mapped[str] = mapped_column(String(36), ForeignKey("intervention_events.id"), nullable=False, index=True)
|
||||
metric_changes: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="指标变化")
|
||||
valuation_impact: Mapped[float | None] = mapped_column(Float, nullable=True, comment="估值影响")
|
||||
return_contribution: Mapped[float | None] = mapped_column(Float, nullable=True, comment="回报贡献")
|
||||
alpha_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="Alpha 归因评分")
|
||||
evidence: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="证据链")
|
||||
measured_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
@@ -0,0 +1,27 @@
|
||||
"""RAG 知识库模型。"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import JSON, DateTime, ForeignKey, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
|
||||
|
||||
class KnowledgeChunk(Base):
|
||||
"""知识库分块 — 向量化的月报/报告片段。"""
|
||||
|
||||
__tablename__ = "knowledge_chunks"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
tenant_id: Mapped[str] = mapped_column(String(36), ForeignKey("tenants.id"), nullable=False, index=True)
|
||||
source_type: Mapped[str] = mapped_column(String(50), nullable=False, comment="report/agreement/board/aar/knowledge_graph")
|
||||
source_id: Mapped[str | None] = mapped_column(String(36), nullable=True, comment="来源记录 ID")
|
||||
company_id: Mapped[str | None] = mapped_column(String(36), ForeignKey("companies.id"), nullable=True, index=True)
|
||||
content: Mapped[str] = mapped_column(Text, nullable=False, comment="文本内容")
|
||||
embedding: Mapped[dict | None] = mapped_column(JSON, nullable=True, comment="向量嵌入")
|
||||
metadata_json: Mapped[dict | None] = mapped_column(JSON, nullable=True, comment="元数据")
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
@@ -0,0 +1,30 @@
|
||||
"""知识图谱模型。
|
||||
|
||||
企业特征 + 管理动作 + 环境上下文 → 结果 → 回报影响。
|
||||
"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import JSON, DateTime, ForeignKey, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
from app.core.types import JSONBType
|
||||
|
||||
|
||||
class KnowledgeNode(Base):
|
||||
"""知识图谱节点。"""
|
||||
|
||||
__tablename__ = "knowledge_nodes"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
tenant_id: Mapped[str] = mapped_column(String(36), ForeignKey("tenants.id"), nullable=False, index=True)
|
||||
entity_type: Mapped[str] = mapped_column(String(50), nullable=False, comment="company/action/context/result/return")
|
||||
entity_id: Mapped[str | None] = mapped_column(String(36), nullable=True, comment="关联实体 ID")
|
||||
attributes: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="实体属性")
|
||||
relations: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="关系列表 — target_id + relation_type")
|
||||
embedding: Mapped[dict | None] = mapped_column(JSON, nullable=True, comment="向量嵌入")
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
@@ -0,0 +1,34 @@
|
||||
"""重大事项模型。
|
||||
|
||||
AI 从月报/弱信号中自动识别重大事项。
|
||||
"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import DateTime, ForeignKey, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
from app.core.types import JSONBType
|
||||
|
||||
|
||||
class MajorEvent(Base):
|
||||
"""重大事项。"""
|
||||
|
||||
__tablename__ = "major_events"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
company_id: Mapped[str] = mapped_column(String(36), ForeignKey("companies.id"), nullable=False, index=True)
|
||||
event_type: Mapped[str] = mapped_column(String(50), nullable=False, comment="funding/personnel/product/legal/market/org")
|
||||
title: Mapped[str] = mapped_column(String(200), nullable=False)
|
||||
description: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
severity: Mapped[str] = mapped_column(String(20), nullable=False, default="medium", comment="low/medium/high/critical")
|
||||
source: Mapped[str | None] = mapped_column(String(100), nullable=True, comment="来源：monthly_report/weak_signal/manual")
|
||||
source_ref: Mapped[str | None] = mapped_column(String(36), nullable=True, comment="来源记录 ID")
|
||||
evidence: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="证据链")
|
||||
status: Mapped[str] = mapped_column(String(20), nullable=False, default="identified", comment="identified/confirmed/addressed")
|
||||
occurred_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
@@ -0,0 +1,38 @@
|
||||
"""里程碑树模型。
|
||||
|
||||
分支路径管理 + 环境变化时 AI 建议路径切换。
|
||||
"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import DateTime, ForeignKey, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
from app.core.types import JSONBType
|
||||
|
||||
|
||||
class MilestoneTree(Base):
|
||||
"""里程碑树。"""
|
||||
|
||||
__tablename__ = "milestone_trees"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
company_id: Mapped[str] = mapped_column(String(36), ForeignKey("companies.id"), nullable=False, index=True)
|
||||
name: Mapped[str] = mapped_column(String(200), nullable=False, comment="里程碑名称")
|
||||
parent_id: Mapped[str | None] = mapped_column(String(36), ForeignKey("milestone_trees.id"), nullable=True, comment="父节点")
|
||||
is_current: Mapped[bool] = mapped_column(default=False, comment="是否当前路径")
|
||||
status: Mapped[str] = mapped_column(String(20), nullable=False, default="planned", comment="planned/in_progress/completed/abandoned")
|
||||
target_date: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
|
||||
actual_date: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
|
||||
description: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
ai_analysis: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="AI 路径分析")
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
updated_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True),
|
||||
default=lambda: datetime.now(timezone.utc),
|
||||
onupdate=lambda: datetime.now(timezone.utc),
|
||||
)
|
||||
@@ -0,0 +1,31 @@
|
||||
"""行为助推记录模型。
|
||||
|
||||
时机判断 + 策略选择 + 效果追踪。
|
||||
"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import DateTime, ForeignKey, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
from app.core.types import JSONBType
|
||||
|
||||
|
||||
class NudgeRecord(Base):
|
||||
"""行为助推记录。"""
|
||||
|
||||
__tablename__ = "nudge_records"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
company_id: Mapped[str] = mapped_column(String(36), ForeignKey("companies.id"), nullable=False, index=True)
|
||||
nudge_type: Mapped[str] = mapped_column(String(50), nullable=False, comment="anchoring/loss_aversion/social_proof/default/timing")
|
||||
context: Mapped[str | None] = mapped_column(Text, nullable=True, comment="助推上下文")
|
||||
message: Mapped[str] = mapped_column(Text, nullable=False, comment="助推内容")
|
||||
target_user_id: Mapped[str | None] = mapped_column(String(36), ForeignKey("users.id"), nullable=True)
|
||||
accepted: Mapped[bool | None] = mapped_column(nullable=True, comment="是否接受")
|
||||
effect_result: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="效果追踪")
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
@@ -0,0 +1,37 @@
|
||||
"""OKR 模型。
|
||||
|
||||
投资人与创始人共同制定 OKR + AI 对齐度评分。
|
||||
"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import DateTime, ForeignKey, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
from app.core.types import JSONBType
|
||||
|
||||
|
||||
class OKR(Base):
|
||||
"""OKR。"""
|
||||
|
||||
__tablename__ = "okrs"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
company_id: Mapped[str] = mapped_column(String(36), ForeignKey("companies.id"), nullable=False, index=True)
|
||||
quarter: Mapped[str] = mapped_column(String(10), nullable=False, comment="如 2025-Q1")
|
||||
objective: Mapped[str] = mapped_column(Text, nullable=False, comment="目标")
|
||||
key_results: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="关键结果列表 — 含进度")
|
||||
alignment_score: Mapped[float | None] = mapped_column(nullable=True, comment="对齐度评分（0-100）")
|
||||
deviation_alerts: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="偏差预警")
|
||||
review_notes: Mapped[str | None] = mapped_column(Text, nullable=True, comment="复盘记录")
|
||||
status: Mapped[str] = mapped_column(String(20), nullable=False, default="active", comment="active/completed/archived")
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
updated_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True),
|
||||
default=lambda: datetime.now(timezone.utc),
|
||||
onupdate=lambda: datetime.now(timezone.utc),
|
||||
)
|
||||
@@ -0,0 +1,37 @@
|
||||
"""同行学习圈模型。
|
||||
|
||||
AI 匹配面临类似挑战的创始人，结构化讨论。
|
||||
"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import DateTime, ForeignKey, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
from app.core.types import JSONBType
|
||||
|
||||
|
||||
class PeerLearningCircle(Base):
|
||||
"""同行学习圈。"""
|
||||
|
||||
__tablename__ = "peer_learning_circles"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
tenant_id: Mapped[str] = mapped_column(String(36), ForeignKey("tenants.id"), nullable=False, index=True)
|
||||
topic: Mapped[str] = mapped_column(String(200), nullable=False, comment="讨论话题")
|
||||
description: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
members: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="成员列表 — 创始人 ID + 企业 ID")
|
||||
discussion_framework: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="结构化讨论框架")
|
||||
conclusions: Mapped[str | None] = mapped_column(Text, nullable=True, comment="讨论结论")
|
||||
action_commitments: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="行动承诺")
|
||||
status: Mapped[str] = mapped_column(String(20), nullable=False, default="matching", comment="matching/active/completed")
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
updated_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True),
|
||||
default=lambda: datetime.now(timezone.utc),
|
||||
onupdate=lambda: datetime.now(timezone.utc),
|
||||
)
|
||||
@@ -0,0 +1,45 @@
|
||||
"""组合再平衡 + Monte Carlo 模拟模型。"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import DateTime, Float, ForeignKey, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
from app.core.types import JSONBType
|
||||
|
||||
|
||||
class PortfolioRebalancing(Base):
|
||||
"""组合再平衡建议。"""
|
||||
|
||||
__tablename__ = "portfolio_rebalancings"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
tenant_id: Mapped[str] = mapped_column(String(36), ForeignKey("tenants.id"), nullable=False, index=True)
|
||||
marginal_returns: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="各企业边际回报率")
|
||||
reallocation_plan: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="再平衡方案")
|
||||
irr_impact: Mapped[float | None] = mapped_column(Float, nullable=True, comment="IRR 影响")
|
||||
dpi_impact: Mapped[float | None] = mapped_column(Float, nullable=True, comment="DPI 影响")
|
||||
status: Mapped[str] = mapped_column(String(20), nullable=False, default="proposed", comment="proposed/approved/executed")
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
|
||||
|
||||
class MonteCarloSimulation(Base):
|
||||
"""Monte Carlo 模拟结果。"""
|
||||
|
||||
__tablename__ = "monte_carlo_simulations"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
tenant_id: Mapped[str] = mapped_column(String(36), ForeignKey("tenants.id"), nullable=False, index=True)
|
||||
iterations: Mapped[int] = mapped_column(nullable=False, default=10000, comment="模拟次数")
|
||||
irr_distribution: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="IRR 概率分布")
|
||||
dpi_distribution: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="DPI 概率分布")
|
||||
percentile_p5: Mapped[float | None] = mapped_column(Float, nullable=True)
|
||||
percentile_p50: Mapped[float | None] = mapped_column(Float, nullable=True)
|
||||
percentile_p95: Mapped[float | None] = mapped_column(Float, nullable=True)
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
@@ -0,0 +1,42 @@
|
||||
"""Pre-mortem + Red Team 模型。"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import DateTime, ForeignKey, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
from app.core.types import JSONBType
|
||||
|
||||
|
||||
class PreMortemRecord(Base):
|
||||
"""Pre-mortem 失败推演。"""
|
||||
|
||||
__tablename__ = "pre_mortem_records"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
company_id: Mapped[str] = mapped_column(String(36), ForeignKey("companies.id"), nullable=False, index=True)
|
||||
decision_context: Mapped[str | None] = mapped_column(Text, nullable=True, comment="决策上下文")
|
||||
failure_paths: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="失败路径列表")
|
||||
risk_checklist: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="风险清单")
|
||||
mitigations: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="缓解措施")
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
|
||||
|
||||
class RedTeamRecord(Base):
|
||||
"""Red Team 对抗分析。"""
|
||||
|
||||
__tablename__ = "red_team_records"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
company_id: Mapped[str] = mapped_column(String(36), ForeignKey("companies.id"), nullable=False, index=True)
|
||||
perspective: Mapped[str] = mapped_column(String(50), nullable=False, comment="competitor/pessimistic_investor/devils_advocate")
|
||||
analysis: Mapped[str | None] = mapped_column(Text, nullable=True, comment="对抗分析内容")
|
||||
vulnerabilities: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="发现的漏洞")
|
||||
counterarguments: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="反驳论点")
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
@@ -0,0 +1,30 @@
|
||||
"""产品竞争力诊断模型。
|
||||
|
||||
AI 体验产品 + 竞品对比 + 热力图。
|
||||
"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import DateTime, ForeignKey, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
from app.core.types import JSONBType
|
||||
|
||||
|
||||
class ProductDiagnostic(Base):
|
||||
"""产品竞争力诊断。"""
|
||||
|
||||
__tablename__ = "product_diagnostics"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
company_id: Mapped[str] = mapped_column(String(36), ForeignKey("companies.id"), nullable=False, index=True)
|
||||
product_name: Mapped[str | None] = mapped_column(String(200), nullable=True)
|
||||
dimensions: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="竞争力维度评分")
|
||||
heatmap_data: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="热力图数据")
|
||||
competitors: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="竞品对比")
|
||||
roadmap_suggestions: Mapped[str | None] = mapped_column(Text, nullable=True, comment="路线图建议")
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
@@ -0,0 +1,79 @@
|
||||
"""多主体画像模型。
|
||||
|
||||
投资机构、基金、投资经理画像。
|
||||
"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import DateTime, ForeignKey, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
from app.core.types import JSONBType
|
||||
|
||||
|
||||
class FirmProfile(Base):
|
||||
"""投资机构画像。"""
|
||||
|
||||
__tablename__ = "firm_profiles"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
tenant_id: Mapped[str] = mapped_column(String(36), ForeignKey("tenants.id"), nullable=False, index=True)
|
||||
name: Mapped[str] = mapped_column(String(200), nullable=False, comment="机构名称")
|
||||
focus_areas: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="投资领域")
|
||||
stage_preference: Mapped[str | None] = mapped_column(String(200), nullable=True, comment="阶段偏好")
|
||||
description: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
extra_json: Mapped[dict | None] = mapped_column(JSONBType, nullable=True)
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
updated_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True),
|
||||
default=lambda: datetime.now(timezone.utc),
|
||||
onupdate=lambda: datetime.now(timezone.utc),
|
||||
)
|
||||
|
||||
|
||||
class FundProfile(Base):
|
||||
"""基金画像。"""
|
||||
|
||||
__tablename__ = "fund_profiles"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
firm_id: Mapped[str] = mapped_column(String(36), ForeignKey("firm_profiles.id"), nullable=False, index=True)
|
||||
name: Mapped[str] = mapped_column(String(200), nullable=False, comment="基金名称")
|
||||
fund_size: Mapped[str | None] = mapped_column(String(100), nullable=True, comment="基金规模")
|
||||
vintage_year: Mapped[int | None] = mapped_column(nullable=True, comment="成立年份")
|
||||
strategy: Mapped[str | None] = mapped_column(Text, nullable=True, comment="投资策略")
|
||||
extra_json: Mapped[dict | None] = mapped_column(JSONBType, nullable=True)
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
updated_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True),
|
||||
default=lambda: datetime.now(timezone.utc),
|
||||
onupdate=lambda: datetime.now(timezone.utc),
|
||||
)
|
||||
|
||||
|
||||
class ManagerProfile(Base):
|
||||
"""投资经理画像。"""
|
||||
|
||||
__tablename__ = "manager_profiles"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
firm_id: Mapped[str] = mapped_column(String(36), ForeignKey("firm_profiles.id"), nullable=False, index=True)
|
||||
user_id: Mapped[str | None] = mapped_column(String(36), ForeignKey("users.id"), nullable=True)
|
||||
name: Mapped[str] = mapped_column(String(100), nullable=False, comment="投资经理姓名")
|
||||
focus_areas: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="关注领域")
|
||||
portfolio_count: Mapped[int | None] = mapped_column(nullable=True, comment="在管企业数")
|
||||
extra_json: Mapped[dict | None] = mapped_column(JSONBType, nullable=True)
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
updated_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True),
|
||||
default=lambda: datetime.now(timezone.utc),
|
||||
onupdate=lambda: datetime.now(timezone.utc),
|
||||
)
|
||||
@@ -0,0 +1,39 @@
|
||||
"""协同机会模型。
|
||||
|
||||
Portfolio 内部协同匹配与效果追踪。
|
||||
"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import DateTime, ForeignKey, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
from app.core.types import JSONBType
|
||||
|
||||
|
||||
class SynergyOpportunity(Base):
|
||||
"""协同机会。"""
|
||||
|
||||
__tablename__ = "synergy_opportunities"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
tenant_id: Mapped[str] = mapped_column(String(36), ForeignKey("tenants.id"), nullable=False, index=True)
|
||||
type: Mapped[str] = mapped_column(String(50), nullable=False, comment="customer/talent/funding/supply_chain/tech")
|
||||
company_a_id: Mapped[str] = mapped_column(String(36), ForeignKey("companies.id"), nullable=False, index=True)
|
||||
company_b_id: Mapped[str | None] = mapped_column(String(36), ForeignKey("companies.id"), nullable=True)
|
||||
title: Mapped[str] = mapped_column(String(200), nullable=False)
|
||||
description: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
match_reason: Mapped[str | None] = mapped_column(Text, nullable=True, comment="AI 匹配理由")
|
||||
status: Mapped[str] = mapped_column(String(20), nullable=False, default="discovered", comment="discovered/confirmed/authorized/executing/completed/declined")
|
||||
authorized: Mapped[bool] = mapped_column(default=False, comment="双方是否授权")
|
||||
effect_result: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="效果评估")
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
updated_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True),
|
||||
default=lambda: datetime.now(timezone.utc),
|
||||
onupdate=lambda: datetime.now(timezone.utc),
|
||||
)
|
||||
@@ -0,0 +1,59 @@
|
||||
"""人才模型。
|
||||
|
||||
核心人才画像 + 团队成员 + 9-Box 矩阵 + 流动预测。
|
||||
"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import DateTime, ForeignKey, Integer, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
from app.core.types import JSONBType
|
||||
|
||||
|
||||
class TalentProfile(Base):
|
||||
"""人才画像。"""
|
||||
|
||||
__tablename__ = "talent_profiles"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
tenant_id: Mapped[str] = mapped_column(String(36), ForeignKey("tenants.id"), nullable=False, index=True)
|
||||
name: Mapped[str] = mapped_column(String(100), nullable=False)
|
||||
current_role: Mapped[str | None] = mapped_column(String(200), nullable=True, comment="当前职位")
|
||||
current_company: Mapped[str | None] = mapped_column(String(200), nullable=True)
|
||||
skills: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="技能标签")
|
||||
experience_years: Mapped[int | None] = mapped_column(Integer, nullable=True)
|
||||
performance_rating: Mapped[float | None] = mapped_column(nullable=True, comment="绩效评分（1-5）")
|
||||
potential_rating: Mapped[float | None] = mapped_column(nullable=True, comment="潜力评分（1-5）")
|
||||
nine_box: Mapped[str | None] = mapped_column(String(50), nullable=True, comment="9-Box 象限")
|
||||
flow_prediction: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="流动预测")
|
||||
status: Mapped[str] = mapped_column(String(20), nullable=False, default="active", comment="active/flowed/inactive")
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
updated_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True),
|
||||
default=lambda: datetime.now(timezone.utc),
|
||||
onupdate=lambda: datetime.now(timezone.utc),
|
||||
)
|
||||
|
||||
|
||||
class TeamMember(Base):
|
||||
"""团队成员。"""
|
||||
|
||||
__tablename__ = "team_members"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
company_id: Mapped[str] = mapped_column(String(36), ForeignKey("companies.id"), nullable=False, index=True)
|
||||
name: Mapped[str] = mapped_column(String(100), nullable=False)
|
||||
role: Mapped[str | None] = mapped_column(String(200), nullable=True, comment="职位")
|
||||
is_key_person: Mapped[bool] = mapped_column(default=False, comment="是否核心人员")
|
||||
joined_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
|
||||
left_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
|
||||
stability_score: Mapped[float | None] = mapped_column(nullable=True, comment="稳定性评分（0-1）")
|
||||
extra_json: Mapped[dict | None] = mapped_column(JSONBType, nullable=True)
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
@@ -0,0 +1,57 @@
|
||||
"""任务与评论模型。
|
||||
|
||||
投后任务管理 + 评论协作。
|
||||
"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import DateTime, ForeignKey, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
from app.core.types import JSONBType
|
||||
|
||||
|
||||
class Task(Base):
|
||||
"""投后任务。"""
|
||||
|
||||
__tablename__ = "tasks"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
tenant_id: Mapped[str] = mapped_column(String(36), ForeignKey("tenants.id"), nullable=False, index=True)
|
||||
company_id: Mapped[str | None] = mapped_column(String(36), ForeignKey("companies.id"), nullable=True, index=True)
|
||||
title: Mapped[str] = mapped_column(String(200), nullable=False)
|
||||
description: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
status: Mapped[str] = mapped_column(String(20), nullable=False, default="todo", comment="todo/in_progress/done/cancelled")
|
||||
priority: Mapped[str] = mapped_column(String(20), nullable=False, default="medium", comment="low/medium/high/urgent")
|
||||
assigned_to: Mapped[str | None] = mapped_column(String(36), ForeignKey("users.id"), nullable=True)
|
||||
source_type: Mapped[str | None] = mapped_column(String(50), nullable=True, comment="来源：risk/report/synergy/manual")
|
||||
source_ref: Mapped[str | None] = mapped_column(String(36), nullable=True, comment="来源记录 ID")
|
||||
due_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
|
||||
completed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
updated_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True),
|
||||
default=lambda: datetime.now(timezone.utc),
|
||||
onupdate=lambda: datetime.now(timezone.utc),
|
||||
)
|
||||
|
||||
|
||||
class Comment(Base):
|
||||
"""评论。"""
|
||||
|
||||
__tablename__ = "comments"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
tenant_id: Mapped[str] = mapped_column(String(36), ForeignKey("tenants.id"), nullable=False, index=True)
|
||||
target_type: Mapped[str] = mapped_column(String(50), nullable=False, comment="report/risk/company/task")
|
||||
target_id: Mapped[str] = mapped_column(String(36), nullable=False, index=True, comment="目标记录 ID")
|
||||
user_id: Mapped[str] = mapped_column(String(36), ForeignKey("users.id"), nullable=False)
|
||||
content: Mapped[str] = mapped_column(Text, nullable=False)
|
||||
parent_id: Mapped[str | None] = mapped_column(String(36), ForeignKey("comments.id"), nullable=True, comment="父评论 ID")
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
@@ -0,0 +1,36 @@
|
||||
"""弱信号模型。
|
||||
|
||||
技术/情绪/组织/市场四类弱信号采集与关联。
|
||||
"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from sqlalchemy import DateTime, Float, ForeignKey, String, Text
|
||||
from sqlalchemy.orm import Mapped, mapped_column
|
||||
|
||||
from app.core.database import Base
|
||||
from app.core.types import JSONBType
|
||||
|
||||
|
||||
class WeakSignal(Base):
|
||||
"""弱信号。"""
|
||||
|
||||
__tablename__ = "weak_signals"
|
||||
|
||||
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
|
||||
company_id: Mapped[str] = mapped_column(String(36), ForeignKey("companies.id"), nullable=False, index=True)
|
||||
signal_type: Mapped[str] = mapped_column(String(50), nullable=False, comment="technical/sentiment/org/market")
|
||||
source: Mapped[str | None] = mapped_column(String(200), nullable=True, comment="信号来源")
|
||||
content: Mapped[str] = mapped_column(Text, nullable=False, comment="信号内容")
|
||||
confidence: Mapped[float] = mapped_column(Float, nullable=False, default=0.5, comment="置信度（0-1）")
|
||||
correlation_id: Mapped[str | None] = mapped_column(String(36), nullable=True, index=True, comment="关联组 ID")
|
||||
correlation_result: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="关联分析结果")
|
||||
risk_probability: Mapped[float | None] = mapped_column(Float, nullable=True, comment="风险概率（0-1）")
|
||||
status: Mapped[str] = mapped_column(String(20), nullable=False, default="new", comment="new/correlated/alerted/dismissed")
|
||||
detected_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
created_at: Mapped[datetime] = mapped_column(
|
||||
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
|
||||
)
|
||||
Reference in New Issue
Block a user