zwf
554 lines
20 KiB
Python
554 lines
20 KiB
Python
import datetime
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import random
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from typing import Union
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import pandas as pd
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from sqlalchemy import select, delete
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from tornado_swagger.model import register_swagger_model
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from wtforms import StringField, TextAreaField, IntegerField
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from wtforms.validators import Length
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import models
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from models.common_model import CommonModel
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from models.db_models import TD3iDcmApplyPostpone
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from paste.core.logging import echo_log
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from paste.rbac.rbac_user import RbacUser
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from paste.util.pagination import Pagination
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from paste.web.form import ModelForm
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class DcmApplyPostponeForm(ModelForm):
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"""
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专业表单验证类（已完全根据 TD3iDcmApplyDelay 字段重构）。
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用于验证和处理数字城管-申请延期接口的创建/修改表单数据。
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字段完全映射数据库表 t_d3i_dcm_apply_delay 的字段结构。
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"""
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# 基础信息
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id = IntegerField('主键ID')
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dcm_task_id = IntegerField('任务ID')
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task_number = StringField('任务号', validators=[Length(max=64, message='任务号长度不能超过64字符')])
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apply_act_id = StringField('工单流程ID', validators=[Length(max=64, message='工单流程ID长度不能超过64字符')])
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reply_part_id = StringField('回复环节ID', validators=[Length(max=64, message='回复环节ID长度不能超过64字符')])
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ard_level = StringField('固定值（等级）', validators=[Length(max=32, message='固定值长度不能超过32字符')])
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ard_type_id = StringField('延期类型', validators=[Length(max=32, message='延期类型长度不能超过32字符')])
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apply_memo = TextAreaField('申请意见', validators=[Length(max=65535, message='申请意见长度不能超过65535字符')])
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time_num = StringField('延期时长', validators=[Length(max=64, message='延期时长长度不能超过64字符')])
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apply_type = StringField('申请类型', validators=[Length(max=64, message='申请类型长度不能超过64字符')])
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delay_multiple = IntegerField('延期倍数')
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postpone_date = StringField('延期日期', validators=[Length(max=64, message='延期日期长度不能超过64字符')])
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time_unit = StringField('时间单位', validators=[Length(max=64, message='时间单位长度不能超过64字符')])
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attachments = TextAreaField('附件', validators=[Length(max=65535, message='附件长度不能超过65535字符')])
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status = IntegerField('提交状态')
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def process(self, formdata=None, obj=None, **kwargs):
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"""
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处理表单数据，在数据绑定前进行预处理。
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主要功能：
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- 遍历所有表单字段
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- 对字符串类型的值去除两端空白字符
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- 调用父类的process方法继续处理
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"""
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if formdata:
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for name, values in formdata.items():
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if isinstance(values, list) and values:
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formdata[name] = [v.strip() if isinstance(v, str) else v for v in values]
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elif isinstance(values, str):
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formdata[name] = values.strip()
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super().process(formdata, obj, **kwargs)
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class DcmApplyPostponeBase(TD3iDcmApplyPostpone, CommonModel):
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"""
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专业基础类（已完全映射 TD3iDcmApplyDelay 字段）。
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继承自数据库模型 TD3iDcmApplyDelay 和通用模型 CommonModel。
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封装所有与申请延期相关的通用操作方法。
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"""
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FieldMapping = {
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'id': 'id',
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'dcm_task_id': 'dcm_task_id',
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'task_number': 'task_number',
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'apply_act_id': 'apply_act_id',
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'reply_part_id': 'reply_part_id',
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'ard_level': 'ard_level',
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'ard_type_id': 'ard_type_id',
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'apply_memo': 'apply_memo',
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'timeNum': 'timeNum',
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'postponeDate': 'postponeDate',
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'time_unit': 'time_unit',
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'attachments': 'attachments',
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'status': 'status',
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'created_at': 'created_at',
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'created_by': 'created_by',
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'updated_at': 'updated_at',
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'updated_by': 'updated_by',
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}
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@classmethod
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async def exist_other(cls, id: Union[str, int], task_number: str):
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"""
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检查是否存在除当前记录外的其他同任务号的延期申请。
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:param id: 当前记录ID
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:param task_number: 任务号
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:return: 存在返回记录对象，不存在返回None
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"""
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_query = select(cls).where(cls.id != id, cls.task_number == task_number)
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_record: cls = await cls.query_first(_query)
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return _record
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@classmethod
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async def find_by_ids(cls, ids: list[Union[str, int]]):
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"""
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根据ID列表批量查找延期申请数据。
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"""
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_query = select(cls).where(cls.id.in_(ids))
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_record_list: list[cls] = (await cls.orm_execute_scalars(_query)).all()
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return _record_list
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@classmethod
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async def is_exist(cls, task_number: str):
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"""
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检查延期申请是否已经存在（根据任务号）。
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:param task_number: 任务号
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:return: 存在返回记录对象，不存在返回None
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"""
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_query = select(cls).where(cls.task_number == task_number)
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_record: cls = await cls.query_first(_query)
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return _record
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@classmethod
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async def search_base(cls, is_paging=True, **kwargs):
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"""
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按参数搜索延期申请数据的基础方法。
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支持字段：
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- task_number, ard_type_id, status, created_by 等
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- 支持模糊匹配：apply_memo, attachments
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- 支持精确匹配：task_number, ard_type_id, status, dcm_task_id
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:param is_paging: 是否分页
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:param kwargs: 查询参数
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:key int page_number: 页码（缺省随机1~100）
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:key int page_size: 每页数量（缺省20）
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:key dict sort_clause: 排序配置，如 {'task_number': 'asc'}
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:key str task_number: 精确匹配任务号
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:key str ard_type_id: 精确匹配延期类型
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:key int status: 精确匹配提交状态
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:key str apply_memo: 模糊匹配申请意见
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:key str attachments: 模糊匹配附件内容
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:key str created_by: 精确匹配创建者
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:return: (DataFrame, Pagination)
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"""
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page_number = kwargs.get('page_number', random.randint(1, 100))
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page_size = kwargs.get('page_size', 20)
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kwargs.update({'page_number': page_number, 'page_size': page_size})
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# 模糊查询字段
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_name_likes = {
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cls.apply_memo.key: '%{}%',
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cls.attachments.key: '%{}%',
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}
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_query = select(cls).where(
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*cls.search_wheres(likes=_name_likes, **kwargs)
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).group_by(cls.id)
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_paging = None
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if is_paging:
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_row_count = await cls.query_count(_query)
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_paging = Pagination(_row_count).paging(page_number, page_size)
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_data_query = _query.limit(page_size).offset(_paging.offset_size)
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else:
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_data_query = _query.where()
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_sort_clause = cls.sort_clauses(kwargs.get('sort_clause', {}))
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if _sort_clause:
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_data_query = _data_query.order_by(*_sort_clause)
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else:
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_data_query = _data_query.order_by(cls.task_number)
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_record_df = await cls.query_as_df(_data_query)
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if not _record_df.empty:
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_record_df.replace(models.EmptyInDF + models.EmptyDatetimeInDF, '', inplace=True)
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_record_df[cls.id.key] = _record_df[cls.id.key].astype(str)
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return _record_df, _paging
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@classmethod
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async def search(cls, **kwargs):
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"""
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按参数搜索延期申请数据，返回分页格式数据。
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"""
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_record_df, _paging = await cls.search_base(**kwargs)
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return {
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'total': _paging.row_count,
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'rows': _record_df.to_dict('records'),
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'pagination': {
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'page_number': _paging.page_number,
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'page_count': _paging.page_count,
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'page_size': _paging.page_size,
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},
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}
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@classmethod
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async def exists_task_number(cls, data_df: pd.DataFrame):
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"""
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查找 data_df 中在数据库中已存在和不存在的记录。根据 task_number 字段判断。
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:param data_df: 输入的数据框架，必须包含 task_number 列
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:return: (exists_df: pd.DataFrame, latest_df: pd.DataFrame)
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- exists_df: 在数据库中存在的记录
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- latest_df: 在数据库中不存在的记录
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"""
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if data_df.empty:
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return pd.DataFrame(), pd.DataFrame()
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# 获取待查询的 task_number 列表（去重）
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task_numbers = data_df[cls.task_number.key].unique().tolist()
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if not task_numbers:
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return pd.DataFrame(), data_df.copy()
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# 查询数据库中已存在的 task_number
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_query = select(cls.id, cls.task_number).where(cls.task_number.in_(task_numbers))
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task_numbers_df = await cls.query_as_df(_query)
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if task_numbers_df.empty:
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return pd.DataFrame(), data_df.copy()
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# 构建 task_number -> id 的映射字典
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task_number_to_id_map = dict(zip(task_numbers_df[cls.task_number.key], task_numbers_df[cls.id.key]))
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# 根据 task_number 是否在数据库中，划分数据
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mask_exists = data_df[cls.task_number.key].isin(task_numbers_df[cls.task_number.key])
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# 数据库已经有的记录
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exists_df = data_df[mask_exists].copy()
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# 自动补充从数据库查到的 id 字段
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exists_df[cls.id.key] = exists_df[cls.task_number.key].map(task_number_to_id_map)
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# 新的数据
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latest_df = data_df[~mask_exists].copy()
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return exists_df, latest_df
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@register_swagger_model
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class DcmApplyPostpone(DcmApplyPostponeBase):
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"""
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专业模型类（主业务类，完全继承 TD3iDcmApplyDelay 字段）。
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---
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description: 数字城管-申请延期接口
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type: object
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properties:
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id:
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description: 主键ID
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type: integer
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example: 1001
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readOnly: true
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dcm_task_id:
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description: 关联的任务ID
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type: integer
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example: 2001
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task_number:
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description: 任务号
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type: string
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example: "TASK20240501001"
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maxLength: 64
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apply_act_id:
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description: 工单流程ID
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type: string
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example: "ACT20240501001"
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maxLength: 64
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reply_part_id:
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description: 回复环节ID
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type: string
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example: "PART_REPLY_001"
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maxLength: 64
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ard_level:
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description: 固定值（等级）
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type: string
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example: "LEVEL_1"
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maxLength: 32
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ard_type_id:
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description: 延期类型（固定值）
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type: string
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example: "DELAY_TYPE_1"
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maxLength: 32
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apply_memo:
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description: 申请意见
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type: string
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example: "因天气原因，申请延期处理。"
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maxLength: 65535
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timeNum:
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description: 延期时长
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type: string
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example: "3"
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maxLength: 64
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postponeDate:
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description: 延期日期
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type: string
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example: "2024-06-01"
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maxLength: 64
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time_unit:
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description: 时间单位
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type: string
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example: "天"
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maxLength: 64
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attachments:
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description: 附件（JSON格式或逗号分隔）
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type: string
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example: "file1.jpg,file2.pdf"
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maxLength: 65535
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status:
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description: 提交状态（0草稿，1已提交，2已审批）
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type: integer
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example: 1
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created_at:
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description: 创建时间，ISO格式的日期时间字符串
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type: string
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format: date-time
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example: "2024-01-15 10:30:00"
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readOnly: true
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created_by:
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description: 创建者用户名
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type: string
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example: "D3I"
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readOnly: true
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updated_at:
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description: 修改时间，ISO格式的日期时间字符串
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type: string
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format: date-time
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example: "2024-01-16 14:25:00"
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readOnly: true
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updated_by:
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description: 修改者用户名
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type: string
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example: "D3I"
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readOnly: true
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"""
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@classmethod
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async def create(cls, user: RbacUser = None, **kwargs):
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"""
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创建新的延期申请。
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业务流程：
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1. 使用 DcmApplyDelayForm 验证表单数据完整性
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2. 检查任务号是否已存在延期申请
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3. 创建新延期申请对象
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4. 设置创建者和更新者为当前用户（默认为 D3I）
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5. 保存到数据库
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6. 返回创建的对象
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:param RbacUser user: 操作用户对象（可选）
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:param kwargs: 延期申请参数字典
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:return: 新建延期申请对象
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:rtype: DcmApplyPostpone
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:raises AssertionError: 当任务号已存在时抛出
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:raises ValidationError: 当表单验证失败时抛出
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"""
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# 处理字符串字段去除空格
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for _k, _v in kwargs.items():
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if isinstance(_v, str):
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kwargs[_k] = _v.strip()
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_form = DcmApplyPostponeForm(formdata=kwargs)
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_form.validate_form()
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# 检查是否已存在相同任务号的延期申请
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_exist = await cls.is_exist(_form.task_number.data)
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assert _exist is None, "该任务已存在延期申请，不能重复提交。"
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# 创建延期申请对象
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_record = cls().copy_from_dict(_form.data, skip_none=True).before_save()
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if user:
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_record.created_by = user.username
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_record.updated_by = user.username
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else:
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# 默认为 D3I
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if not _record.created_by:
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_record.created_by = "D3I"
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if not _record.updated_by:
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_record.updated_by = "D3I"
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await _record.async_save()
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return _record
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@classmethod
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async def delete(cls, id: Union[str, int]):
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"""
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删除延期申请。
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业务流程：
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1. 根据ID查找延期申请
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2. 验证存在性
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3. 执行删除操作
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:param id: 要删除的延期申请ID
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:return: 删除的对象
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:rtype: DcmApplyPostpone
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:raises AssertionError: 当记录不存在时抛出
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"""
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_record: cls = await cls.async_find_by_id(id)
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assert _record, f"根据 ID {id} 未找到延期申请记录。"
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# 执行删除
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_del_query = delete(cls).where(cls.id == _record.id)
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_del_count = (await cls.raw_execute(_del_query)).rowcount
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echo_log(f'已删除延期申请（任务号：{_record.task_number}，ID：{_record.id}）.')
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return _record
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@classmethod
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async def modify(cls, id: Union[str, int], user: RbacUser = None, **kwargs):
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"""
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修改已有延期申请信息。
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业务流程：
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1. 将 id 添加到参数中
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2. 处理字符串字段去除首尾空格
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3. 使用 DcmApplyDelayForm 验证表单数据
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4. 检查是否有其他记录使用了相同的 task_number（排除自身）
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5. 查询原记录对象
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6. 验证存在性
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7. 更新字段并设置更新者
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8. 保存到数据库
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9. 返回更新后的对象
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:param id: 要修改的延期申请ID
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:param RbacUser user: 操作用户对象
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:param kwargs: 需要更新的字段
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:return: 修改后的延期申请对象
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:rtype: DcmApplyPostpone
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:raises AssertionError: 当记录不存在或任务号重复时抛出
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:raises ValidationError: 当表单验证失败时抛出
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"""
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# 处理字符串字段去除空格
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for _k, _v in kwargs.items():
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if isinstance(_v, str):
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kwargs[_k] = _v.strip()
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# 表单验证
|
||
_form = DcmApplyPostponeForm(formdata=kwargs)
|
||
_form.validate_form()
|
||
|
||
# 检查是否与其他记录重复（排除自身）
|
||
_other = await cls.exist_other(id, _form.task_number.data)
|
||
assert _other is None, "该任务号已存在其他延期申请，不能重复修改。"
|
||
|
||
# 查询原记录
|
||
_record: cls = await cls.async_find_by_id(id)
|
||
assert _record, f'查无此延期申请记录。'
|
||
|
||
# 更新字段
|
||
_record.copy_from_dict(_form.data, skip_none=True).before_save()
|
||
_record.updated_by = user.username if user else "D3I"
|
||
await _record.async_save()
|
||
return _record
|
||
|
||
@classmethod
|
||
async def create_batch(cls, data_df: pd.DataFrame, user: RbacUser = None):
|
||
"""
|
||
批量创建新的延期申请（传入数据应为全新记录，无需校验是否存在）。
|
||
|
||
:param data_df: 包含延期申请数据的 DataFrame，字段需与模型属性匹配（如 task_number, apply_act_id 等）
|
||
:param user: 操作用户对象，用于设置 created_by / updated_by
|
||
:return: 成功创建的数量
|
||
:rtype: int
|
||
"""
|
||
if data_df.empty:
|
||
return 0
|
||
|
||
# 向量化设置用户字段（无循环）
|
||
if user:
|
||
data_df['created_by'] = user.username
|
||
data_df['updated_by'] = user.username
|
||
else:
|
||
# 默认 D3I
|
||
data_df['created_by'] = "D3I"
|
||
data_df['updated_by'] = "D3I"
|
||
|
||
# 一次性转为字典列表（C 层高效）
|
||
records = data_df.to_dict('records')
|
||
|
||
# 用列表推导式构造对象
|
||
records = [cls().copy_from_dict(record, skip_none=True).before_save() for record in records]
|
||
|
||
# 批量插入
|
||
session = cls.get_aio_session()
|
||
try:
|
||
session.add_all(records)
|
||
await session.commit()
|
||
except Exception as e:
|
||
await session.rollback()
|
||
raise e
|
||
finally:
|
||
await session.close()
|
||
echo_log(f"批量创建成功：创建 {len(records)} 条延期申请。")
|
||
return len(records)
|
||
|
||
@classmethod
|
||
async def modify_batch(cls, data_df: pd.DataFrame, user: RbacUser = None):
|
||
"""
|
||
批量修改已有延期申请。
|
||
|
||
:param data_df: 包含延期申请数据的 DataFrame，必须包含 id 列
|
||
:param user: 操作用户对象，用于设置 updated_by
|
||
:return: 成功更新的数量
|
||
:rtype: int
|
||
"""
|
||
if data_df.empty:
|
||
return 0
|
||
|
||
# 必须包含 id 列
|
||
if 'id' not in data_df.columns:
|
||
echo_log(f"错误：modify_batch 要求输入数据必须包含 '{cls.id.key}' 列（主键）")
|
||
return 0
|
||
|
||
# 手动添加更新时间戳
|
||
data_df['updated_at'] = datetime.datetime.now()
|
||
# 添加更新者信息
|
||
if user:
|
||
data_df['updated_by'] = user.username
|
||
else:
|
||
data_df['updated_by'] = "D3I"
|
||
|
||
# 转换为字典列表
|
||
update_data = data_df.to_dict('records')
|
||
|
||
# 使用 bulk_update_mappings
|
||
session = cls.get_aio_session()
|
||
try:
|
||
await session.run_sync(
|
||
lambda sync_session: sync_session.bulk_update_mappings(cls, update_data)
|
||
)
|
||
await session.commit()
|
||
updated_count = len(update_data)
|
||
except Exception as e:
|
||
await session.rollback()
|
||
raise e
|
||
finally:
|
||
await session.close()
|
||
|
||
echo_log(f"批量修改成功：更新 {updated_count} 条延期申请。")
|
||
return updated_count
|
||
|
||
@classmethod
|
||
async def save_batch(cls, data_df: pd.DataFrame, user: RbacUser = None):
|
||
"""
|
||
批量保存数据，自动处理新建和更新。
|
||
|
||
:param data_df: 要保存的数据框架
|
||
:param user: 用户
|
||
:return: 新建和更新的数量
|
||
"""
|
||
# 筛选数据状态
|
||
_exists_df, _latest_df = await DcmApplyPostpone.exists_task_number(data_df)
|
||
# 保存到数据库
|
||
_created_count = await DcmApplyPostpone.create_batch(_latest_df, user)
|
||
_updated_count = await DcmApplyPostpone.modify_batch(_exists_df, user)
|
||
return _created_count, _updated_count
|