初始化项目
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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
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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
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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 TD3iGovcTask
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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 GovcTaskForm(ModelForm):
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"""
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市12345工单表单验证类（完全映射 TD3iGovcTask 字段）。
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用于验证和处理市12345工单主表的创建/修改表单数据。
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字段完全映射数据库表 t_d3i_govc_task 的字段结构。
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"""
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# 基础信息
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id = IntegerField('记录ID')
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evl_result = StringField('结果满意度', validators=[Length(max=64, message='结果满意度长度不能超过64字符')])
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finish_result = TextAreaField('办结结果', validators=[Length(max=65535, message='办结结果长度不能超过65535字符')])
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serial_num = StringField('工单编号', validators=[Length(max=64, message='工单编号长度不能超过64字符')])
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t_status = StringField('任务单状态', validators=[Length(max=64, message='任务单状态长度不能超过64字符')])
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accord_type = 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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create_date = DateTimeField('交办时间')
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back_time_bf = DateTimeField('拒绝时限')
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sub_handle_ou_name = StringField('子处办单位',
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validators=[Length(max=255, message='子处办单位长度不能超过255字符')])
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sign_time_bf = IntegerField('签收时限时间戳')
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is_leaf = StringField('是否叶子节点', validators=[Length(max=32, message='是否叶子节点长度不能超过32字符')])
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row_guid = StringField('rowguid', validators=[Length(max=64, message='rowguid长度不能超过64字符')])
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c_guid = StringField('查询详情使用guid', validators=[Length(max=64, message='查询详情使用guid长度不能超过64字符')])
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finish_time = IntegerField('办结时间戳')
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sign_time = IntegerField('签收时间戳')
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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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finish_time_bf = DateTimeField('办结时限')
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link_number = StringField('联系号码', validators=[Length(max=64, message='联系号码长度不能超过64字符')])
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pvi_guid = StringField('查询详情使用pviguid',
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validators=[Length(max=64, message='查询详情使用pviguid长度不能超过64字符')])
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rqst_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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rqst_content = TextAreaField('诉求内容', validators=[Length(max=65535, message='诉求内容长度不能超过65535字符')])
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handle_ou_name = 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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rqst_title = StringField('标题', validators=[Length(max=500, message='标题长度不能超过500字符')])
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sign_person = StringField('签收人', validators=[Length(max=128, message='签收人长度不能超过128字符')])
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rqst_person = StringField('诉求人', validators=[Length(max=128, message='诉求人长度不能超过128字符')])
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rqs_channel = StringField('渠道来源', validators=[Length(max=64, message='渠道来源长度不能超过64字符')])
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t_type = StringField('工单类型', validators=[Length(max=64, message='工单类型长度不能超过64字符')])
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solve_situation = StringField('解决情况', validators=[Length(max=64, message='解决情况长度不能超过64字符')])
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evl_style = StringField('态度满意度', validators=[Length(max=64, message='态度满意度长度不能超过64字符')])
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send_opinion = TextAreaField('派送意见', validators=[Length(max=65535, message='派送意见长度不能超过65535字符')])
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created_at = DateTimeField('创建时间')
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created_by = StringField('创建者', validators=[Length(max=64, message='创建者长度不能超过64字符')])
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updated_at = DateTimeField('更新时间')
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updated_by = StringField('更新者', validators=[Length(max=64, message='更新者长度不能超过64字符')])
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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 GovcTaskBase(TD3iGovcTask, CommonModel):
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"""
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市12345工单基础类（完全映射 TD3iGovcTask 字段）。
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继承自数据库模型 TD3iGovcTask 和通用模型 CommonModel。
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封装所有与市12345工单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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'evl_result': 'evlresult',
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'finish_result': 'finishresult',
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'serial_num': 'serialnum',
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't_status': 'tstatus',
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'accord_type': 'accordtype',
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'create_date': 'createdate',
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'back_time_bf': 'backtime_bf',
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'sub_handle_ou_name': 'subhandleouname',
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'sign_time_bf': 'signtime_bf',
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'is_leaf': 'isLeaf',
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'row_guid': 'rowguid',
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'c_guid': 'cguid',
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'finish_time': 'finishtime',
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'sign_time': 'signtime',
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'is_secret': 'issecret',
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'finish_time_bf': 'finishtime_bf',
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'link_number': 'linknumber',
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'pvi_guid': 'pviguid',
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'rqst_type': 'rqsttype',
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'rqst_content': 'rqstcontent',
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'handle_ou_name': 'handleouname',
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'rqst_title': 'rqsttitle',
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'sign_person': 'signperson',
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'rqst_person': 'rqstperson',
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'rqs_channel': 'rqschannel',
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't_type': 'ttype',
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'solve_situation': 'solvesituation',
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'evl_style': 'evlstyle',
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'send_opinion': 'sendopinion'
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}
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"""
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工单数据映射
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"""
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@classmethod
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async def is_exist(cls, serial_num: str):
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"""
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检查工单记录是否已存在（根据工单编号）。
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:param serial_num: 工单编号
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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.serial_num == serial_num)
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_task: cls = await cls.query_first(_query)
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return _task
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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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按参数搜索工单数据的基础方法。
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支持字段：
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- serial_num, row_guid, c_guid, pvi_guid, t_status, t_type, is_leaf, is_secret
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- 支持模糊匹配：rqst_content, finish_result, send_opinion, rqst_title
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- 支持精确匹配：t_status, t_type, is_leaf, is_secret
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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 {'serial_num': 'asc'}
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:key str serial_num: 精确匹配工单编号
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:key str row_guid: 精确匹配rowguid
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:key str c_guid: 精确匹配查询详情使用guid
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:key str pvi_guid: 精确匹配查询详情使用pviguid
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:key str t_status: 精确匹配任务单状态
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:key str t_type: 精确匹配工单类型
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:key str is_leaf: 精确匹配是否叶子节点
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:key str is_secret: 精确匹配是否保密
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:key str rqst_content: 模糊匹配诉求内容
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:key str finish_result: 模糊匹配办结结果
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:key str send_opinion: 模糊匹配派送意见
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:key str rqst_title: 模糊匹配标题
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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.rqst_content.key: '%{}%',
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cls.finish_result.key: '%{}%',
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cls.send_opinion.key: '%{}%',
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cls.rqst_title.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.serial_num, cls.id)
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_task_df = await cls.query_as_df(_data_query)
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if not _task_df.empty:
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_task_df.replace(models.EmptyInDF + models.EmptyDatetimeInDF, '', inplace=True)
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_task_df[cls.id.key] = _task_df[cls.id.key].astype(str)
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return _task_df, _paging
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@classmethod
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async def search(cls, **kwargs):
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"""
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按参数搜索工单数据，返回分页格式数据。
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"""
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_task_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': _task_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_serial_num(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 serial_num 字段判断。
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:param data_df: 输入的数据框架，必须包含 serial_num 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 serial_num 列表（去重）
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serial_nums = data_df[cls.serial_num.key].unique().tolist()
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if not serial_nums:
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return pd.DataFrame(), data_df.copy()
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# 查询数据库中已存在的 serial_num
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_query = select(cls.id, cls.serial_num).where(cls.serial_num.in_(serial_nums))
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serial_nums_df = await cls.query_as_df(_query)
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if serial_nums_df.empty:
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return pd.DataFrame(), data_df.copy()
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# 构建 serial_num -> id 的映射字典
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serial_num_to_id_map = dict(zip(serial_nums_df[cls.serial_num.key], serial_nums_df[cls.id.key]))
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# 根据 serial_num 是否在数据库中，划分数据
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mask_exists = data_df[cls.serial_num.key].isin(serial_nums_df[cls.serial_num.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.serial_num.key].map(serial_num_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 GovcTask(GovcTaskBase):
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"""
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市12345工单模型类（主业务类，完全继承 TD3iGovcTask 字段）。
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---
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description: 市12345工单主表接口
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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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evl_result:
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description: 结果满意度
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type: string
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example: "满意"
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maxLength: 64
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finish_result:
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description: 办结结果
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type: string
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example: "已完成诉求处理，用户反馈满意"
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maxLength: 65535
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serial_num:
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description: 工单编号
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type: string
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example: "GOV20240501001"
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maxLength: 64
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t_status:
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description: 任务单状态
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type: string
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example: "已办结"
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maxLength: 64
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accord_type:
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description: 归口类型
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type: string
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example: "城市管理"
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maxLength: 255
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create_date:
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description: 交办时间
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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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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: "2024-01-20 18:00:00"
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sub_handle_ou_name:
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description: 子处办单位
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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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sign_time_bf:
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description: 签收时限时间戳
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type: integer
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example: 1705324800000
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is_leaf:
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description: 是否叶子节点
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type: string
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example: "1"
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maxLength: 32
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row_guid:
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description: rowguid
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type: string
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example: "8f9e7d6c-5b4a-3210-9876-abcdef123456"
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maxLength: 64
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c_guid:
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description: 查询详情使用guid
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type: string
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example: "7e8d9c0b-1a2b-3c4d-5e6f-7890abcdef12"
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maxLength: 64
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finish_time:
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description: 办结时间戳
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type: integer
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example: 1705843200000
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sign_time:
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description: 签收时间戳
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type: integer
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example: 1705411200000
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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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finish_time_bf:
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description: 办结时限
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type: string
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format: date-time
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example: "2024-01-25 18:00:00"
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link_number:
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description: 联系号码
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type: string
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example: "13800138000"
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maxLength: 64
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pvi_guid:
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description: 查询详情使用pviguid
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type: string
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example: "9d8c7b6a-5f4e-3d2c-1b0a-9876543210fe"
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maxLength: 64
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rqst_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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rqst_content:
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description: 诉求内容
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type: string
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example: "XX小区垃圾堆积未及时清理，影响居民生活"
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maxLength: 65535
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handle_ou_name:
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description: 处办单位
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type: string
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example: "XX区城市管理局"
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maxLength: 255
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rqst_title:
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description: 标题
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type: string
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example: "XX小区垃圾清理问题"
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maxLength: 500
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sign_person:
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description: 签收人
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type: string
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example: "张三"
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maxLength: 128
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rqst_person:
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description: 诉求人
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type: string
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example: "李四"
|
||||
maxLength: 128
|
||||
rqs_channel:
|
||||
description: 渠道来源
|
||||
type: string
|
||||
example: "12345热线"
|
||||
maxLength: 64
|
||||
t_type:
|
||||
description: 工单类型
|
||||
type: string
|
||||
example: "民生类"
|
||||
maxLength: 64
|
||||
solve_situation:
|
||||
description: 解决情况
|
||||
type: string
|
||||
example: "已解决"
|
||||
maxLength: 64
|
||||
evl_style:
|
||||
description: 态度满意度
|
||||
type: string
|
||||
example: "满意"
|
||||
maxLength: 64
|
||||
send_opinion:
|
||||
description: 派送意见
|
||||
type: string
|
||||
example: "请XX街道办事处尽快处理"
|
||||
maxLength: 65535
|
||||
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):
|
||||
"""
|
||||
创建新的工单记录。
|
||||
|
||||
业务流程：
|
||||
1. 使用 GovcTaskForm 验证表单数据完整性
|
||||
2. 检查是否已存在相同 serial_num 的记录（避免重复提交）
|
||||
3. 创建新工单对象
|
||||
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: 工单参数字典
|
||||
:return: 新建工单对象
|
||||
:rtype: GovcTask
|
||||
: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 = GovcTaskForm(formdata=kwargs)
|
||||
_form.validate_form()
|
||||
|
||||
# 检查是否已存在相同 serial_num 的记录
|
||||
_existing = await cls.is_exist(_form.serial_num.data)
|
||||
assert _existing is None, "该工单编号已存在记录，不能重复提交。"
|
||||
|
||||
# 创建对象
|
||||
_task = cls().copy_from_dict(_form.data, skip_none=True).before_save()
|
||||
if user:
|
||||
_task.created_by = user.username
|
||||
_task.updated_by = user.username
|
||||
await _task.async_save()
|
||||
return _task
|
||||
|
||||
@classmethod
|
||||
async def delete(cls, task_id: Union[str, int]):
|
||||
"""
|
||||
删除工单记录。
|
||||
|
||||
业务流程：
|
||||
1. 根据ID查找记录
|
||||
2. 验证存在性
|
||||
3. 执行删除
|
||||
|
||||
:param task_id: 要删除的工单记录ID
|
||||
:return: 删除的记录对象
|
||||
:rtype: GovcTask
|
||||
:raises AssertionError: 当记录不存在时抛出
|
||||
"""
|
||||
_task: cls = await cls.async_find_by_id(task_id)
|
||||
assert _task, f"根据 ID {task_id} 未找到工单记录。"
|
||||
|
||||
_del_query = delete(cls).where(cls.id == _task.id)
|
||||
_del_count = (await cls.raw_execute(_del_query)).rowcount
|
||||
echo_log(f'已删除工单记录（工单编号：{_task.serial_num}，ID：{_task.id}）.')
|
||||
return _task
|
||||
|
||||
@classmethod
|
||||
async def modify(cls, task_id: Union[str, int], user: RbacUser = None, **kwargs):
|
||||
"""
|
||||
修改已有工单记录。
|
||||
|
||||
业务流程：
|
||||
1. 将 task_id 添加到参数中
|
||||
2. 处理字符串字段去除首尾空格
|
||||
3. 使用 GovcTaskForm 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 task_id: 要修改的工单记录ID
|
||||
:param RbacUser user: 操作用户对象
|
||||
:param kwargs: 需要更新的字段
|
||||
:return: 修改后的工单对象
|
||||
:rtype: GovcTask
|
||||
: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 = GovcTaskForm(formdata=kwargs)
|
||||
_form.validate_form()
|
||||
|
||||
# 查询原记录
|
||||
_task: cls = await cls.async_find_by_id(task_id)
|
||||
assert _task, f'查无此工单信息。'
|
||||
|
||||
# 更新字段
|
||||
_task.copy_from_dict(_form.data, skip_none=True).before_save()
|
||||
_task.updated_by = user.username
|
||||
await _task.async_save()
|
||||
return _task
|
||||
|
||||
@classmethod
|
||||
async def create_batch(cls, data_df: pd.DataFrame, user: RbacUser = None):
|
||||
"""
|
||||
批量创建工单记录（传入数据应为全新记录）。
|
||||
|
||||
:param data_df: 包含工单数据的 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')
|
||||
tasks = [cls().copy_from_dict(record, skip_none=True).before_save() for record in records]
|
||||
|
||||
session = cls.get_aio_session()
|
||||
try:
|
||||
session.add_all(tasks)
|
||||
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(tasks)} 条工单记录。")
|
||||
return len(tasks)
|
||||
|
||||
@classmethod
|
||||
async def modify_batch(cls, data_df: pd.DataFrame, user: RbacUser = None):
|
||||
"""
|
||||
批量修改已有工单记录。
|
||||
|
||||
:param data_df: 包含工单数据的 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} 条工单记录。")
|
||||
return updated_count
|
||||
|
||||
@classmethod
|
||||
async def save_batch(cls, data_df: pd.DataFrame, user: RbacUser = None):
|
||||
"""
|
||||
批量保存工单数据，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 GovcTask.exists_serial_num(data_df)
|
||||
# 保存到数据库
|
||||
_created_count = await GovcTask.create_batch(_latest_df, user)
|
||||
_updated_count = await GovcTask.modify_batch(_exists_df, user)
|
||||
return _created_count, _updated_count
|
||||
Reference in New Issue
Block a user