90 lines
2.7 KiB
Python
90 lines
2.7 KiB
Python
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# =============================================================================
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# 角色映射规则模型 — role_mapping_rules 表
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# =============================================================================
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# 说明：定义角色自动映射规则，支持企微标签和eHR字段两种来源
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# =============================================================================
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import uuid
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from datetime import datetime
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from sqlalchemy import String, Boolean, DateTime, Integer, ForeignKey, Index
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from sqlalchemy.orm import Mapped, mapped_column
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from app.database import Base
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class RoleMappingRule(Base):
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"""角色映射规则模型 — 对应 role_mapping_rules 表。
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定义自动映射规则，当用户满足条件时自动获得对应角色：
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- wecom_tag: 企微标签匹配（如标签包含"IT坐席"）
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- ehr_position: eHR岗位关键词匹配（如岗位包含"IT支持"）
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"""
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__tablename__ = "role_mapping_rules"
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__table_args__ = (
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# 按 role_id 查询优化
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Index("idx_role_mapping_rules_role_id", "role_id"),
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# 按 source_type 查询优化
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Index("idx_role_mapping_rules_source_type", "source_type"),
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)
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# 主键：UUID
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id: Mapped[str] = mapped_column(
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String(36),
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primary_key=True,
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default=lambda: str(uuid.uuid4()),
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)
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# 角色 ID（外键）
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role_id: Mapped[str] = mapped_column(
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String(36),
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ForeignKey("roles.id", ondelete="CASCADE"),
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nullable=False,
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comment="目标角色 ID",
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)
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# 来源类型：wecom_tag/ehr_position
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source_type: Mapped[str] = mapped_column(
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String(50),
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nullable=False,
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comment="来源类型：wecom_tag/ehr_position",
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)
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# 来源值：标签名/岗位关键词
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source_value: Mapped[str] = mapped_column(
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String(200),
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nullable=False,
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comment="来源值：标签名/岗位关键词",
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)
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# 优先级（数值越大优先级越高）
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priority: Mapped[int] = mapped_column(
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Integer,
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nullable=False,
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default=0,
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comment="优先级（数值越大优先级越高）",
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)
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# 是否启用
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is_active: Mapped[bool] = mapped_column(
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Boolean,
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nullable=False,
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default=True,
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comment="是否启用",
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)
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# 创建时间
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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nullable=False,
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default=datetime.now,
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comment="创建时间",
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)
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def __repr__(self) -> str:
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return (
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f"<RoleMappingRule(id={self.id}, role_id={self.role_id}, "
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f"source_type={self.source_type}, source_value={self.source_value})>"
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)
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