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113 lines
2.4 KiB
113 lines
2.4 KiB
from pydantic import BaseModel
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from typing import Union, Optional, List
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from module_admin.entity.vo.fddict_vo import FddictModel
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class NdstandModel(BaseModel):
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"""
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数据标准表对应pydantic模型
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"""
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onum: Optional[int]
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data_std_no: Optional[str]
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data_std_cn_name: Optional[str]
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data_std_eng_name: Optional[str]
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belt_scop: Optional[str]
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busi_defn: Optional[str]
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data_std_schm: Optional[str]
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std_pri_clas: Optional[str]
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std_scd_clas: Optional[str]
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std_thre_clas: Optional[str]
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data_sec_fifd: Optional[str]
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data_clas: Optional[str]
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val_scop: Optional[str]
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fddict_col_no: 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 NdstandPageObject(NdstandModel):
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"""
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数据标准管理分页查询模型
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"""
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page_num: int
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page_size: int
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class AddNdstandModel(NdstandModel):
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"""
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数据标准管理模型
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"""
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type: Optional[str]
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class NdstandQueryModel(NdstandModel):
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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 FddictPageObjectResponse(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[FddictModel, 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 FddictPageObject(FddictModel):
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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 NdstandPageObjectResponse(BaseModel):
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"""
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新数据标准管理列表分页查询返回模型
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"""
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rows: List[Union[NdstandModel, 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 NdstandSelectOptionResponseModel(BaseModel):
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"""
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新数据标准管理不分页查询模型
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"""
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post: List[Union[NdstandModel, None]]
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class CrudNdstandResponse(BaseModel):
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"""
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操作新数据标准响应模型
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"""
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is_success: bool
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message: str
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class DeleteNdstandModel(BaseModel):
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"""
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删除新数据标准模型
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"""
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onums: str
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class ImportNdstandModel(BaseModel):
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"""
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批量导入代码管理模型
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"""
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url: str
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is_update: bool
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