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FastapiAdmin/backend/app/api/v1/module_system/dict/model.py
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zhangtao 1d54dca76c style: 统一代码格式和字符串引号使用
refactor: 优化代码结构和可读性

feat: 添加http_limit模块实现请求限制功能

fix: 修复异步任务中使用time.sleep的问题

chore: 更新依赖项并添加pytest测试框架

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perf: 优化Redis序列化方式使用JSON替代pickle

test: 添加测试相关配置和依赖
2026-01-17 20:07:25 +08:00

67 lines
2.2 KiB
Python

from sqlalchemy import Boolean, ForeignKey, Integer, String
from sqlalchemy.orm import Mapped, mapped_column, relationship
from app.core.base_model import ModelMixin
class DictTypeModel(ModelMixin):
"""
字典类型表
"""
__tablename__: str = "sys_dict_type"
__table_args__: dict[str, str] = {"comment": "字典类型表"}
__loader_options__: list[str] = []
dict_name: Mapped[str] = mapped_column(String(64), nullable=False, comment="字典名称")
dict_type: Mapped[str] = mapped_column(
String(255), nullable=False, unique=True, comment="字典类型"
)
# 关系定义
dict_data_list: Mapped[list["DictDataModel"]] = relationship(
"DictDataModel",
back_populates="dict_type_obj",
cascade="all, delete-orphan",
)
class DictDataModel(ModelMixin):
"""
字典数据表
"""
__tablename__: str = "sys_dict_data"
__table_args__: dict[str, str] = {"comment": "字典数据表"}
__loader_options__: list[str] = []
dict_sort: Mapped[int] = mapped_column(Integer, nullable=False, default=0, comment="字典排序")
dict_label: Mapped[str] = mapped_column(String(255), nullable=False, comment="字典标签")
dict_value: Mapped[str] = mapped_column(String(255), nullable=False, comment="字典键值")
css_class: Mapped[str | None] = mapped_column(
String(255), nullable=True, comment="样式属性(其他样式扩展)"
)
list_class: Mapped[str | None] = mapped_column(
String(255), nullable=True, comment="表格回显样式"
)
is_default: Mapped[bool] = mapped_column(
Boolean,
nullable=False,
default=False,
comment="是否默认(True是 False否)",
)
dict_type: Mapped[str] = mapped_column(String(255), nullable=False, comment="字典类型")
# 添加外键关系,同时保留dict_type字段用于业务查询
dict_type_id: Mapped[int] = mapped_column(
Integer,
ForeignKey("sys_dict_type.id", ondelete="CASCADE"),
nullable=False,
comment="字典类型ID",
)
# 关系定义
dict_type_obj: Mapped[DictTypeModel] = relationship(
"DictTypeModel", back_populates="dict_data_list"
)