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111 lines
2.2 KiB
111 lines
2.2 KiB
from pydantic import BaseModel
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from typing import Union, Optional, List
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class DictTypeModel(BaseModel):
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"""
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字典类型表对应pydantic模型
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"""
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dict_id: Optional[int]
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dict_name: Optional[str]
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dict_type: Optional[str]
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status: Optional[str]
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create_by: Optional[str]
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create_time: Optional[str]
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update_by: Optional[str]
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update_time: Optional[str]
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remark: Optional[str]
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class Config:
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orm_mode = True
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class DictDataModel(BaseModel):
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"""
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字典数据表对应pydantic模型
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"""
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dict_code: Optional[int]
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dict_sort: Optional[int]
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dict_label: Optional[str]
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dict_value: Optional[str]
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dict_type: Optional[str]
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css_class: Optional[str]
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list_class: Optional[str]
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is_default: Optional[str]
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status: Optional[str]
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create_by: Optional[str]
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create_time: Optional[str]
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update_by: Optional[str]
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update_time: Optional[str]
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remark: Optional[str]
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class Config:
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orm_mode = True
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class DictTypeQueryModel(DictTypeModel):
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"""
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字典类型管理不分页查询模型
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"""
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create_time_start: Optional[str]
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create_time_end: Optional[str]
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class DictTypePageObject(DictTypeQueryModel):
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"""
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字典类型管理分页查询模型
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"""
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page_num: int
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page_size: int
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class DictTypePageObjectResponse(BaseModel):
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"""
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字典类型管理列表分页查询返回模型
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"""
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rows: List[Union[DictTypeModel, None]] = []
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page_num: int
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page_size: int
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total: int
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has_next: bool
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class DeleteDictTypeModel(BaseModel):
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"""
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删除字典类型模型
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"""
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dict_ids: str
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class DictDataPageObject(DictDataModel):
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"""
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字典数据管理分页查询模型
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"""
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page_num: int
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page_size: int
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class DictDataPageObjectResponse(BaseModel):
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"""
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字典数据管理列表分页查询返回模型
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"""
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rows: List[Union[DictDataModel, None]] = []
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page_num: int
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page_size: int
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total: int
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has_next: bool
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class DeleteDictDataModel(BaseModel):
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"""
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删除字典数据模型
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"""
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dict_codes: str
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class CrudDictResponse(BaseModel):
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"""
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操作字典响应模型
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"""
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is_success: bool
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message: str
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