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）
39 lines
1.8 KiB
Python
39 lines
1.8 KiB
Python
"""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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