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https://github.com/fastapi-practices/fastapi-best-architecture.git
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Wu Clan
e6e53296a8
* Optimize sqlalchemy types to simplify compatibility * Update TimeZone type comment
34 lines
1.3 KiB
Python
34 lines
1.3 KiB
Python
from __future__ import annotations
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from typing import TYPE_CHECKING
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import sqlalchemy as sa
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from backend.common.model import Base, UniversalText, id_key
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if TYPE_CHECKING:
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from backend.plugin.dict.model import DictType
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class DictData(Base):
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"""字典数据表"""
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__tablename__ = 'sys_dict_data'
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id: Mapped[id_key] = mapped_column(init=False)
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type_code: Mapped[str] = mapped_column(sa.String(32), comment='对应的字典类型编码')
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label: Mapped[str] = mapped_column(sa.String(32), comment='字典标签')
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value: Mapped[str] = mapped_column(sa.String(32), comment='字典值')
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color: Mapped[str | None] = mapped_column(sa.String(32), default=None, comment='标签颜色')
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sort: Mapped[int] = mapped_column(default=0, comment='排序')
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status: Mapped[int] = mapped_column(default=1, comment='状态（0停用 1正常）')
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remark: Mapped[str | None] = mapped_column(UniversalText, default=None, comment='备注')
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# 字典类型一对多
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type_id: Mapped[int] = mapped_column(
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sa.ForeignKey('sys_dict_type.id', ondelete='CASCADE'), default=0, comment='字典类型关联ID'
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)
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type: Mapped[DictType] = relationship(init=False, back_populates='datas')
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