""" 企业规则模型 用于存储企业自定义的映射规则,实现规则复用 """ from datetime import datetime from enum import Enum from typing import Optional from sqlalchemy import ForeignKey, Integer, String, Boolean, DateTime, JSON from sqlalchemy.orm import Mapped, mapped_column, relationship from app.models.base import BaseModel class RuleType(str, Enum): """规则类型""" FIELD_MAPPING = "FIELD_MAPPING" # 字段映射规则 ACCOUNT_MAPPING = "ACCOUNT_MAPPING" # 科目映射规则 DEPARTMENT_MAPPING = "DEPARTMENT_MAPPING" # 部门映射规则 class RuleStatus(str, Enum): """规则状态""" ACTIVE = "ACTIVE" # 启用 INACTIVE = "INACTIVE" # 停用 class CompanyRule(BaseModel): """ 企业规则模型 存储企业自定义的业务规则,用于自动应用 """ __tablename__ = "company_rules" company_id: Mapped[int] = mapped_column(Integer, ForeignKey("companies.id"), nullable=False, index=True) rule_type: Mapped[str] = mapped_column(String(50), nullable=False, index=True, comment="规则类型") match_condition: Mapped[dict] = mapped_column(JSON, nullable=False, comment="匹配条件") target_value: Mapped[str] = mapped_column(String(100), nullable=False, comment="目标值") priority: Mapped[int] = mapped_column(Integer, nullable=False, default=0, comment="优先级,数字越大优先级越高") status: Mapped[str] = mapped_column(String(20), nullable=False, default=RuleStatus.ACTIVE.value, comment="状态") description: Mapped[Optional[str]] = mapped_column(String(500), nullable=True, comment="规则描述") match_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0, comment="匹配次数") last_used_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True) created_by: Mapped[Optional[int]] = mapped_column(Integer, ForeignKey("users.id"), nullable=True) updated_by: Mapped[Optional[int]] = mapped_column(Integer, ForeignKey("users.id"), nullable=True) # 关系 company = relationship("Company", back_populates="rules") creator = relationship("User", foreign_keys=[created_by]) updater = relationship("User", foreign_keys=[updated_by]) def __repr__(self) -> str: return f""