257 lines
8.7 KiB
Python
257 lines
8.7 KiB
Python
# -*- coding: utf-8 -*-
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from typing import Sequence
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from app.core.base_crud import CRUDBase
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from app.api.v1.module_system.dict.model import DictDataModel, DictTypeModel
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from app.api.v1.module_system.dict.schema import DictDataCreateSchema, DictDataUpdateSchema, DictTypeCreateSchema, DictTypeUpdateSchema
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from app.api.v1.module_system.auth.schema import AuthSchema
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class DictTypeCRUD(CRUDBase[DictTypeModel, DictTypeCreateSchema, DictTypeUpdateSchema]):
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"""数据字典类型数据层"""
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def __init__(self, auth: AuthSchema) -> None:
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"""
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初始化数据字典类型CRUD
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参数:
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- auth (AuthSchema): 认证信息模型
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"""
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self.auth = auth
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super().__init__(model=DictTypeModel, auth=auth)
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async def get_obj_by_id_crud(self, id: int, preload: list | None = None) -> DictTypeModel | None:
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"""
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获取数据字典类型详情
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参数:
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- id (int): 数据字典类型ID
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- preload (list | None): 预加载关系,未提供时使用模型默认项
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返回:
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- DictTypeModel | None: 数据字典类型模型,如果不存在则为None
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"""
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# 添加默认预加载字典数据关系
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if preload is None:
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preload = []
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return await self.get(id=id, preload=preload)
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async def get_obj_list_crud(self, search: dict | None = None, order_by: list[dict] | None = None, preload: list | None = None) -> Sequence[DictTypeModel]:
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"""
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获取数据字典类型列表
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参数:
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- search (dict | None): 查询参数,默认值为None
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- order_by (list[dict] | None): 排序参数,默认值为None
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- preload (list | None): 预加载关系,未提供时使用模型默认项
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返回:
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- Sequence[DictTypeModel]: 数据字典类型模型序列
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"""
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# 添加默认预加载字典数据关系
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if preload is None:
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preload = []
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return await self.list(search=search, order_by=order_by, preload=preload)
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async def create_obj_crud(self, data: DictTypeCreateSchema) -> DictTypeModel | None:
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"""
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创建数据字典类型
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参数:
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- data (DictTypeCreateSchema): 数据字典类型创建模型
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返回:
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- DictTypeModel | None: 创建的数据字典类型模型,如果创建失败则为None
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"""
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return await self.create(data=data)
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async def update_obj_crud(self, id: int, data: DictTypeUpdateSchema) -> DictTypeModel | None:
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"""
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更新数据字典类型
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参数:
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- id (int): 数据字典类型ID
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- data (DictTypeUpdateSchema): 数据字典类型更新模型
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返回:
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- DictTypeModel | None: 更新的数据字典类型模型,如果更新失败则为None
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"""
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return await self.update(id=id, data=data)
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async def delete_obj_crud(self, ids: list[int]) -> None:
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"""
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删除数据字典类型
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参数:
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- ids (list[int]): 数据字典类型ID列表
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返回:
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- None
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"""
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return await self.delete(ids=ids)
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async def set_obj_available_crud(self, ids: list[int], status: str) -> None:
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"""
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设置数据字典类型的可用状态
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参数:
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- ids (list[int]): 数据字典类型ID列表
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- status (str): 可用状态,0表示正常,1表示停用
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返回:
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- None
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"""
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return await self.set(ids=ids, status=status)
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async def batch_delete_obj_crud(self, ids: list[int]) -> int:
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"""
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批量删除数据字典类型
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参数:
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- ids (List[int]): 数据字典类型ID列表
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返回:
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- int: 删除的记录数量
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"""
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await self.delete(ids=ids)
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return len(ids)
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class DictDataCRUD(CRUDBase[DictDataModel, DictDataCreateSchema, DictDataUpdateSchema]):
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"""数据字典数据层"""
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def __init__(self, auth: AuthSchema) -> None:
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"""
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初始化数据字典数据CRUD
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参数:
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- auth (AuthSchema): 认证信息模型
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"""
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self.auth = auth
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super().__init__(model=DictDataModel, auth=auth)
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async def get_obj_by_id_crud(self, id: int, preload: list | None = None) -> DictDataModel | None:
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"""
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获取数据字典数据详情
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参数:
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- id (int): 数据字典数据ID
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- preload (list | None): 预加载关系,未提供时使用模型默认项
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返回:
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- DictDataModel | None: 数据字典数据模型,如果不存在则为None
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"""
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# 添加默认预加载字典类型关系
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if preload is None:
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preload = []
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return await self.get(id=id, preload=preload)
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async def get_obj_list_crud(self, search: dict | None = None, order_by: list[dict] | None = None, preload: list | None = None) -> Sequence[DictDataModel]:
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"""
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获取数据字典数据列表
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参数:
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- search (dict | None): 查询参数,默认值为None
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- order_by (list[dict] | None): 排序参数,默认值为None
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- preload (list | None): 预加载关系,未提供时使用模型默认项
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返回:
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- Sequence[DictDataModel]: 数据字典数据模型序列
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"""
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# 添加默认预加载字典类型关系
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if preload is None:
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preload = []
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return await self.list(search=search, order_by=order_by, preload=preload)
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async def create_obj_crud(self, data: DictDataCreateSchema) -> DictDataModel | None:
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"""
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创建数据字典数据
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参数:
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- data (DictDataCreateSchema): 数据字典数据创建模型
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返回:
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- DictDataModel | None: 创建的数据字典数据模型,如果创建失败则为None
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"""
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return await self.create(data=data)
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async def update_obj_crud(self, id: int, data: DictDataUpdateSchema) -> DictDataModel | None:
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"""
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更新数据字典数据
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参数:
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- id (int): 数据字典数据ID
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- data (DictDataUpdateSchema): 数据字典数据更新模型
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返回:
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- DictDataModel | None: 更新的数据字典数据模型,如果更新失败则为None
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"""
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return await self.update(id=id, data=data)
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async def delete_obj_crud(self, ids: list[int]) -> None:
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"""
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删除数据字典数据
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参数:
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- ids (list[int]): 数据字典数据ID列表
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返回:
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- None
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"""
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return await self.delete(ids=ids)
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async def set_obj_available_crud(self, ids: list[int], status: str) -> None:
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"""
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设置数据字典数据的可用状态
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参数:
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- ids (list[int]): 数据字典数据ID列表
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- status (str): 可用状态,0表示正常,1表示停用
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返回:
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- None
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"""
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return await self.set(ids=ids, status=status)
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async def batch_delete_obj_crud(self, ids: list[int], exclude_system: bool = True) -> int:
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"""
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批量删除数据字典数据
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参数:
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- ids (List[int]): 数据字典数据ID列表
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- exclude_system (bool): 是否排除系统默认数据,默认为True
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返回:
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- int: 删除的记录数量
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"""
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# 如果需要排除系统默认数据,可以在这里添加过滤逻辑
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# 假设系统默认数据在remark字段中包含"系统默认"字符串
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if exclude_system:
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# 获取非系统默认数据的ID
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system_data_filter = {"id__in": ids, "remark__contains": "系统默认"}
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system_data = await self.list(search=system_data_filter)
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system_ids = [item.id for item in system_data]
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# 从待删除ID列表中排除系统默认数据
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ids = [id for id in ids if id not in system_ids]
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if ids:
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await self.delete(ids=ids)
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return len(ids)
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async def get_obj_list_by_dict_type_crud(self, dict_type: str, status: str | None = "0") -> Sequence[DictDataModel]:
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"""
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根据字典类型获取字典数据列表
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参数:
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- dict_type (str): 字典类型
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- status (str | None): 状态过滤,None表示不过滤
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返回:
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- Sequence[DictDataModel]: 数据字典数据模型序列
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"""
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search = {"dict_type": dict_type}
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if status is not None:
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search["status"] = status
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order_by = [{"id": "asc"}]
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return await self.list(search=search, order_by=order_by) |