初始化项目
This commit is contained in:
zwf
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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, text
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from tornado_swagger.model import register_swagger_model
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from wtforms import StringField, TextAreaField, IntegerField, DateTimeField
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from wtforms.validators import Length, Optional
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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 TD3iGovcTaskDetail
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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 GovcTaskDetailForm(ModelForm):
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"""
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市12345工单详情表单验证类（完全映射 TD3iGovcTaskDetail 字段）。
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用于验证和处理市12345工单详情的创建/修改表单数据。
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字段完全映射数据库表 t_d3i_govc_task_detail 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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task_id = IntegerField('关联工单主表ID', validators=[Optional()])
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note = TextAreaField('备注')
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purpose = StringField('诉求目的', validators=[Length(max=255, message='诉求目的长度不能超过255字符')])
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type_level = StringField('诉求类型等级', validators=[Length(max=64, message='诉求类型等级长度不能超过64字符')])
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type = StringField('诉求类型', validators=[Length(max=64, message='诉求类型长度不能超过64字符')])
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sign_time_bf = DateTimeField('签收时限', validators=[Optional()])
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matter = StringField('窗口进驻事项', validators=[Length(max=32, message='窗口进驻事项长度不能超过32字符')])
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case_form_type = StringField('个性化表单类型', validators=[Length(max=64, message='个性化表单类型长度不能超过64字符')])
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content = TextAreaField('诉求内容')
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handle_ou = StringField('处办单位', validators=[Length(max=255, message='处办单位长度不能超过255字符')])
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urgency = IntegerField('是否紧急', validators=[Optional()])
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sj_handle_ou = StringField('涉及单位', validators=[Length(max=255, message='涉及单位长度不能超过255字符')])
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ccb_content = TextAreaField('催补撤内容')
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is_secret = StringField('是否保密', validators=[Length(max=32, message='是否保密长度不能超过32字符')])
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theme = StringField('主题工单', validators=[Length(max=32, message='主题工单长度不能超过32字符')])
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attribute = StringField('归口类型', validators=[Length(max=255, message='归口类型长度不能超过255字符')])
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zqt = StringField('企业名称', validators=[Length(max=255, message='企业名称长度不能超过255字符')])
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address = StringField('详细地址', validators=[Length(max=500, message='详细地址长度不能超过500字符')])
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seng_again_num = IntegerField('再交办次数', validators=[Optional()])
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epidemic = StringField('是否疫情工单', validators=[Length(max=32, message='是否疫情工单长度不能超过32字符')])
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has_ccb = IntegerField('是否有催补撤信息', validators=[Optional()])
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way = StringField('受理方式', validators=[Length(max=64, message='受理方式长度不能超过64字符')])
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return_visit = StringField('回访类型', validators=[Length(max=64, message='回访类型长度不能超过64字符')])
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finish_time_bf = DateTimeField('反馈时限', validators=[Optional()])
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is_email = IntegerField('是否邮箱提交', validators=[Optional()])
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time = DateTimeField('事发时间', validators=[Optional()])
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called_tx = StringField('被叫号码', validators=[Length(max=64, message='被叫号码长度不能超过64字符')])
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back_time_bf = DateTimeField('拒绝时限', validators=[Optional()])
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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 GovcTaskDetailBase(TD3iGovcTaskDetail, CommonModel):
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"""
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市12345工单详情基础类（完全映射 TD3iGovcTaskDetail 字段）。
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继承自数据库模型 TD3iGovcTaskDetail 和通用模型 CommonModel。
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封装所有与工单详情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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'task_id': 'task_id',
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'note': 'note',
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'purpose': 'purpose',
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'type_level': 'type_level',
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'type': 'type',
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'sign_time_bf': 'sign_time_bf',
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'matter': 'matter',
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'case_form_type': 'case_form_type',
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'content': 'content',
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'handle_ou': 'handle_ou',
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'urgency': 'urgency',
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'sj_handle_ou': 'sj_handle_ou',
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'ccb_content': 'ccb_content',
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'is_secret': 'is_secret',
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'theme': 'theme',
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'attribute': 'attribute',
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'zqt': 'zqt',
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'address': 'address',
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'seng_again_num': 'seng_again_num',
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'epidemic': 'epidemic',
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'has_ccb': 'has_ccb',
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'way': 'way',
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'return_visit': 'return_visit',
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'finish_time_bf': 'finish_time_bf',
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'is_email': 'is_email',
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'time': 'time',
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'called_tx': 'called_tx',
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'back_time_bf': 'back_time_bf',
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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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"""
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工单详情数据映射
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"""
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@classmethod
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async def is_exist(cls, task_id: int):
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"""
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检查工单详情记录是否已存在（根据关联工单主表ID）。
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:param task_id: 关联工单主表ID
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:return: 存在返回对象，不存在返回None
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"""
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_query = select(cls).where(cls.task_id == task_id)
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_detail: cls = await cls.query_first(_query)
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return _detail
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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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按参数搜索工单详情数据的基础方法。
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支持字段：
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- task_id, type_level, type, urgency, epidemic, has_ccb, way, return_visit, is_email
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- 支持模糊匹配：note, purpose, content, handle_ou, sj_handle_ou, ccb_content, address
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- 支持精确匹配：matter, case_form_type, is_secret, theme, attribute, zqt, called_tx
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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_id': 'asc'}
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:key int task_id: 精确匹配关联工单主表ID
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:key str type_level: 精确匹配诉求类型等级
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:key str type: 精确匹配诉求类型
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:key int urgency: 精确匹配是否紧急
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:key str epidemic: 精确匹配是否疫情工单
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:key int has_ccb: 精确匹配是否有催补撤信息
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:key str way: 精确匹配受理方式
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:key str return_visit: 精确匹配回访类型
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:key int is_email: 精确匹配是否邮箱提交
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:key str note: 模糊匹配备注
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:key str purpose: 模糊匹配诉求目的
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:key str content: 模糊匹配诉求内容
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:key str handle_ou: 模糊匹配处办单位
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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.note.key: '%{}%',
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cls.purpose.key: '%{}%',
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cls.content.key: '%{}%',
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cls.handle_ou.key: '%{}%',
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cls.sj_handle_ou.key: '%{}%',
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cls.ccb_content.key: '%{}%',
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cls.address.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_id, cls.id)
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_detail_df = await cls.query_as_df(_data_query)
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if not _detail_df.empty:
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_detail_df.replace(models.EmptyInDF + models.EmptyDatetimeInDF, '', inplace=True)
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_detail_df[cls.id.key] = _detail_df[cls.id.key].astype(str)
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return _detail_df, _paging
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@classmethod
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async def search(cls, **kwargs):
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"""
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按参数搜索工单详情数据，返回分页格式数据。
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"""
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_detail_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': _detail_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_id(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_id 字段判断。
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:param data_df: 输入的数据框架，必须包含 task_id 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_id 列表（去重）
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task_ids = data_df[cls.task_id.key].unique().tolist()
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if not task_ids:
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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_id
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_query = select(cls.id, cls.task_id).where(cls.task_id.in_(task_ids))
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task_ids_df = await cls.query_as_df(_query)
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if task_ids_df.empty:
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return pd.DataFrame(), data_df.copy()
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# 构建 task_id -> id 的映射字典
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task_id_to_id_map = dict(zip(task_ids_df[cls.task_id.key], task_ids_df[cls.id.key]))
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# 根据 task_id 是否在数据库中，划分数据
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mask_exists = data_df[cls.task_id.key].isin(task_ids_df[cls.task_id.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_id.key].map(task_id_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 GovcTaskDetail(GovcTaskDetailBase):
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"""
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市12345工单详情模型类（主业务类，完全继承 TD3iGovcTaskDetail 字段）。
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---
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description: 市12345工单详情接口
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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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task_id:
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description: 关联工单主表ID
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type: integer
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example: 2001
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note:
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description: 备注
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type: string
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example: "该工单需加急处理"
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purpose:
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description: 诉求目的
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type: string
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example: "投诉小区物业不作为"
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maxLength: 255
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type_level:
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description: 诉求类型等级
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type: string
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example: "一级诉求"
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maxLength: 64
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type:
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description: 诉求类型
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type: string
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example: "投诉"
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maxLength: 64
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sign_time_bf:
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description: 签收时限
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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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matter:
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description: 窗口进驻事项
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type: string
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example: "民生服务"
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maxLength: 32
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case_form_type:
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description: 个性化表单类型
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type: string
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example: "通用投诉表单"
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maxLength: 64
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content:
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description: 诉求内容
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type: string
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example: "小区垃圾堆积无人清理，物业未及时处理"
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handle_ou:
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description: 处办单位
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type: string
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example: "XX街道办事处"
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maxLength: 255
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urgency:
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description: 是否紧急（1:紧急，0:不紧急）
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type: integer
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example: 1
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sj_handle_ou:
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description: 涉及单位
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type: string
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example: "XX物业公司,XX社区"
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maxLength: 255
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ccb_content:
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description: 催补撤内容
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type: string
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example: "请尽快补充工单相关证明材料"
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is_secret:
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description: 是否保密
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type: string
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example: "0"
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maxLength: 32
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theme:
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description: 主题工单
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type: string
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example: "民生保障"
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maxLength: 32
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attribute:
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description: 归口类型
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type: string
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example: "城乡建设"
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maxLength: 255
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zqt:
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description: 企业名称
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type: string
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example: "XX物业服务有限公司"
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maxLength: 255
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address:
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description: 详细地址
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type: string
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example: "XX市XX区XX街道XX小区1号楼"
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maxLength: 500
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seng_again_num:
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description: 再交办次数
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type: integer
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example: 2
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epidemic:
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description: 是否疫情工单
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type: string
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example: "0"
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maxLength: 32
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has_ccb:
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description: 是否有催补撤信息（1:有，0:无）
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type: integer
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example: 1
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way:
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description: 受理方式
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type: string
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example: "电话受理"
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maxLength: 64
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return_visit:
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description: 回访类型
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type: string
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example: "电话回访"
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maxLength: 64
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finish_time_bf:
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description: 反馈时限
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type: string
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format: date-time
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example: "2024-01-20 17:00:00"
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is_email:
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description: 是否邮箱提交（1:是，0:否）
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type: integer
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example: 0
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time:
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description: 事发时间
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type: string
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format: date-time
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example: "2024-01-14 09:15:00"
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called_tx:
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description: 被叫号码
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type: string
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example: "021-12345678"
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maxLength: 64
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back_time_bf:
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description: 拒绝时限
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type: string
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format: date-time
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||||
example: "2024-01-16 12:00:00"
|
||||
created_at:
|
||||
description: 创建时间，ISO格式的日期时间字符串
|
||||
type: string
|
||||
format: date-time
|
||||
example: "2024-01-15 10:30:00"
|
||||
readOnly: true
|
||||
created_by:
|
||||
description: 创建者用户名
|
||||
type: string
|
||||
example: "admin"
|
||||
readOnly: true
|
||||
updated_at:
|
||||
description: 修改时间，ISO格式的日期时间字符串
|
||||
type: string
|
||||
format: date-time
|
||||
example: "2024-01-16 14:25:00"
|
||||
readOnly: true
|
||||
updated_by:
|
||||
description: 修改者用户名
|
||||
type: string
|
||||
example: "editor"
|
||||
readOnly: true
|
||||
"""
|
||||
|
||||
@classmethod
|
||||
async def create(cls, user: RbacUser = None, **kwargs):
|
||||
"""
|
||||
创建新的工单详情记录。
|
||||
|
||||
业务流程：
|
||||
1. 使用 GovcTaskDetailForm 验证表单数据完整性
|
||||
2. 检查是否已存在相同 task_id 的记录（避免重复提交）
|
||||
3. 创建新工单详情对象
|
||||
4. 设置创建者和更新者为当前用户
|
||||
5. 保存到数据库
|
||||
6. 返回创建的对象
|
||||
|
||||
:param RbacUser user: 操作用户对象
|
||||
:param kwargs: 工单详情参数字典
|
||||
:return: 新建工单详情对象
|
||||
:rtype: GovcTaskDetail
|
||||
:raises AssertionError: 当记录已存在时抛出
|
||||
:raises ValidationError: 当表单验证失败时抛出
|
||||
"""
|
||||
# 处理字符串字段去除空格
|
||||
for _k, _v in kwargs.items():
|
||||
if isinstance(_v, str):
|
||||
kwargs[_k] = _v.strip()
|
||||
|
||||
_form = GovcTaskDetailForm(formdata=kwargs)
|
||||
_form.validate_form()
|
||||
|
||||
# 检查是否已存在相同 task_id 的记录
|
||||
_existing = await cls.is_exist(_form.task_id.data)
|
||||
assert _existing is None, "该工单已存在详情记录，不能重复提交。"
|
||||
|
||||
# 创建对象
|
||||
_detail = cls().copy_from_dict(_form.data, skip_none=True).before_save()
|
||||
if user:
|
||||
_detail.created_by = user.username
|
||||
_detail.updated_by = user.username
|
||||
await _detail.async_save()
|
||||
return _detail
|
||||
|
||||
@classmethod
|
||||
async def delete(cls, detail_id: Union[str, int]):
|
||||
"""
|
||||
删除工单详情记录。
|
||||
|
||||
业务流程：
|
||||
1. 根据ID查找记录
|
||||
2. 验证存在性
|
||||
3. 执行删除
|
||||
|
||||
:param detail_id: 要删除的工单详情记录ID
|
||||
:return: 删除的记录对象
|
||||
:rtype: GovcTaskDetail
|
||||
:raises AssertionError: 当记录不存在时抛出
|
||||
"""
|
||||
_detail: cls = await cls.async_find_by_id(detail_id)
|
||||
assert _detail, f"根据 ID {detail_id} 未找到工单详情记录。"
|
||||
|
||||
_del_query = delete(cls).where(cls.id == _detail.id)
|
||||
_del_count = (await cls.raw_execute(_del_query)).rowcount
|
||||
echo_log(f'已删除工单详情记录（工单ID：{_detail.task_id}，ID：{_detail.id}）.')
|
||||
return _detail
|
||||
|
||||
@classmethod
|
||||
async def modify(cls, detail_id: Union[str, int], user: RbacUser = None, **kwargs):
|
||||
"""
|
||||
修改已有工单详情记录。
|
||||
|
||||
业务流程：
|
||||
1. 将 detail_id 添加到参数中
|
||||
2. 处理字符串字段去除首尾空格
|
||||
3. 使用 GovcTaskDetailForm 验证表单数据
|
||||
4. 查询原记录
|
||||
5. 验证存在性
|
||||
6. 更新字段并设置更新者
|
||||
7. 保存到数据库
|
||||
8. 返回更新后的对象
|
||||
|
||||
:param detail_id: 要修改的工单详情记录ID
|
||||
:param RbacUser user: 操作用户对象
|
||||
:param kwargs: 需要更新的字段
|
||||
:return: 修改后的工单详情对象
|
||||
:rtype: GovcTaskDetail
|
||||
:raises AssertionError: 当记录不存在时抛出
|
||||
:raises ValidationError: 当表单验证失败时抛出
|
||||
"""
|
||||
# 处理字符串字段去除空格
|
||||
for _k, _v in kwargs.items():
|
||||
if isinstance(_v, str):
|
||||
kwargs[_k] = _v.strip()
|
||||
|
||||
# 表单验证
|
||||
_form = GovcTaskDetailForm(formdata=kwargs)
|
||||
_form.validate_form()
|
||||
|
||||
# 查询原记录
|
||||
_detail: cls = await cls.async_find_by_id(detail_id)
|
||||
assert _detail, f'查无此工单详情信息。'
|
||||
|
||||
# 更新字段
|
||||
_detail.copy_from_dict(_form.data, skip_none=True).before_save()
|
||||
_detail.updated_by = user.username
|
||||
await _detail.async_save()
|
||||
return _detail
|
||||
|
||||
@classmethod
|
||||
async def create_batch(cls, data_df: pd.DataFrame, user: RbacUser = None):
|
||||
"""
|
||||
批量创建工单详情记录（传入数据应为全新记录）。
|
||||
|
||||
:param data_df: 包含工单详情数据的 DataFrame
|
||||
: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
|
||||
|
||||
if user:
|
||||
data_df['created_by'] = user.username
|
||||
data_df['updated_by'] = user.username
|
||||
|
||||
records = data_df.to_dict('records')
|
||||
details = [cls().copy_from_dict(record, skip_none=True).before_save() for record in records]
|
||||
|
||||
session = cls.get_aio_session()
|
||||
try:
|
||||
session.add_all(details)
|
||||
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(details)} 条工单详情记录。")
|
||||
return len(details)
|
||||
|
||||
@classmethod
|
||||
async def modify_batch(cls, data_df: pd.DataFrame, user: RbacUser = None):
|
||||
"""
|
||||
批量修改已有工单详情记录。
|
||||
|
||||
:param data_df: 包含工单详情数据的 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
|
||||
|
||||
# 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} 条工单详情记录。")
|
||||
return updated_count
|
||||
|
||||
@classmethod
|
||||
async def save_batch(cls, data_df: pd.DataFrame, user: RbacUser = None):
|
||||
"""
|
||||
批量保存工单详情数据，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 GovcTaskDetail.exists_task_id(data_df)
|
||||
# 保存到数据库
|
||||
_created_count = await GovcTaskDetail.create_batch(_latest_df, user)
|
||||
_updated_count = await GovcTaskDetail.modify_batch(_exists_df, user)
|
||||
return _created_count, _updated_count
|
||||
Reference in New Issue
Block a user