zwf
546 lines
20 KiB
Python
546 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, 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 TD3iGovcTaskDepartmentFeedback
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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 GovcTaskDeptFeedbackForm(ModelForm):
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"""
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部门处置反馈表单验证类（完全映射 TD3iGovcTaskDepartmentFeedback 字段）。
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用于验证和处理市12345部门处置信息的创建/修改表单数据。
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字段完全映射数据库表 t_d3i_govc_task_department_feedback 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()]) # 实际应根据业务调整必填性
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zxhf_info = TextAreaField('专项回复信息')
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back_info = TextAreaField('退回信息')
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sign_time_bf = DateTimeField('签收时限', validators=[Optional()])
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operation_text = StringField('操作描述', validators=[Length(max=255, message='操作描述长度不能超过255字符')])
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opinion = TextAreaField('反馈意见')
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unit = StringField('承办单位', validators=[Length(max=255, message='承办单位长度不能超过255字符')])
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finish_time_bf = DateTimeField('反馈时限', validators=[Optional()])
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person = StringField('承办人', validators=[Length(max=128, message='承办人长度不能超过128字符')])
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sign_time = DateTimeField('签收时间', validators=[Optional()])
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name = StringField('负责人', validators=[Length(max=128, message='负责人长度不能超过128字符')])
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tel = StringField('联系电话', validators=[Length(max=64, message='联系电话长度不能超过64字符')])
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time = DateTimeField('反馈时间', validators=[Optional()])
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department = StringField('部门', validators=[Length(max=255, message='部门长度不能超过255字符')])
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status = IntegerField('状态')
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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 GovcTaskDeptFeedbackBase(TD3iGovcTaskDepartmentFeedback, CommonModel):
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"""
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部门处置反馈基础类（完全映射 TD3iGovcTaskDepartmentFeedback 字段）。
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继承自数据库模型 TD3iGovcTaskDepartmentFeedback 和通用模型 CommonModel。
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封装所有与部门处置反馈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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'zxhf_info': 'zxhfinfo',
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'back_info':'backinfo',
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'sign_time_bf': 'signtimebf',
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'operation_text': 'operationText',
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'opinion': 'opinion',
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'unit': 'unit',
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'finish_time_bf': 'finishtimebf',
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'person': 'person',
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'sign_time': 'signtime',
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'name': 'name',
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'tel': 'tel',
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'time': 'time',
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'department': 'department',
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'status': 'status',
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'back_time_bf': 'backtimebf',
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}
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"""部门处置反馈数据映射"""
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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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检查部门处置反馈记录是否已存在（根据工单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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_feedback: cls = await cls.query_first(_query)
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return _feedback
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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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按参数搜索部门处置反馈数据的基础方法。
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支持字段：
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- task_id, status, unit, department（精确匹配）
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- 支持模糊匹配：operation_text, opinion, person, name
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- 支持时间范围：sign_time_bf, finish_time_bf, sign_time, time, back_time_bf
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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: 精确匹配工单ID
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:key int status: 精确匹配状态
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:key str unit: 精确匹配承办单位
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:key str department: 精确匹配部门
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:key str operation_text: 模糊匹配操作描述
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:key str opinion: 模糊匹配反馈意见
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:key str person: 模糊匹配承办人
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:key str name: 模糊匹配负责人
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:key str sign_time_bf_start: 签收时限开始时间
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:key str sign_time_bf_end: 签收时限结束时间
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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.operation_text.key: '%{}%',
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cls.opinion.key: '%{}%',
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cls.person.key: '%{}%',
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cls.name.key: '%{}%',
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}
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# 构建基础查询
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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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# 处理时间范围查询（示例：签收时限）
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if kwargs.get('sign_time_bf_start'):
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_query = _query.where(cls.sign_time_bf >= kwargs['sign_time_bf_start'])
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if kwargs.get('sign_time_bf_end'):
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_query = _query.where(cls.sign_time_bf <= kwargs['sign_time_bf_end'])
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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
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# 处理排序
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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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# 执行查询并处理结果
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_feedback_df = await cls.query_as_df(_data_query)
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if not _feedback_df.empty:
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_feedback_df.replace(models.EmptyInDF + models.EmptyDatetimeInDF, '', inplace=True)
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_feedback_df[cls.id.key] = _feedback_df[cls.id.key].astype(str)
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# 处理时间字段格式化
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datetime_fields = ['sign_time_bf', 'finish_time_bf', 'sign_time', 'time', 'back_time_bf', 'created_at',
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'updated_at']
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for field in datetime_fields:
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if field in _feedback_df.columns:
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_feedback_df[field] = _feedback_df[field].dt.strftime('%Y-%m-%d %H:%M:%S').fillna('')
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return _feedback_df, _paging
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@classmethod
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async def search(cls, **kwargs):
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"""
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按参数搜索部门处置反馈数据，返回分页格式数据。
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"""
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_feedback_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': _feedback_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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exists_df = data_df[mask_exists].copy()
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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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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 GovcTaskDeptFeedback(GovcTaskDeptFeedbackBase):
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"""
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部门处置反馈模型类（主业务类，完全继承 TD3iGovcTaskDepartmentFeedback 字段）。
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---
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description: 市12345部门处置信息接口
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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: 20240501001
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zxhf_info:
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description: 专项回复信息
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type: string
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example: "该工单已完成处置，符合要求"
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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: "2024-05-01 10:00:00"
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operation_text:
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description: 操作描述
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type: string
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example: "接收工单并开始处置"
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maxLength: 255
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opinion:
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description: 反馈意见
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type: string
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example: "经核查，该问题已妥善解决"
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unit:
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description: 承办单位
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type: string
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example: "XX市城市管理局"
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maxLength: 255
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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: "2024-05-05 18:00:00"
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person:
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description: 承办人
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type: string
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example: "张三"
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maxLength: 128
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sign_time:
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description: 签收时间
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type: string
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format: date-time
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example: "2024-05-01 10:10:00"
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name:
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description: 负责人
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type: string
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example: "李四"
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maxLength: 128
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tel:
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description: 联系电话
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type: string
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example: "13800138000"
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maxLength: 64
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time:
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description: 反馈时间
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type: string
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format: date-time
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example: "2024-05-05 17:30:00"
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department:
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description: 部门
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type: string
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example: "市容管理科"
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maxLength: 255
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status:
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description: 状态（1:已签收,2:处置中,3:已反馈,4:已拒绝）
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type: integer
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example: 3
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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: "2024-05-03 18:00:00"
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created_at:
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description: 创建时间
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type: string
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format: date-time
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example: "2024-05-01 10:00:00"
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readOnly: true
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created_by:
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description: 创建者
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type: string
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example: "admin"
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readOnly: true
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updated_at:
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description: 修改时间
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type: string
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format: date-time
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example: "2024-05-05 17:30:00"
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readOnly: true
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updated_by:
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description: 修改者
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type: string
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example: "editor"
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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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创建新的部门处置反馈记录。
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业务流程：
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1. 使用 GovcTaskDeptFeedbackForm 验证表单数据完整性
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2. 检查是否已存在相同 task_id 的记录（避免重复提交）
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3. 创建新反馈对象
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4. 设置创建者和更新者为当前用户
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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
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:param kwargs: 反馈参数字典
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:return: 新建反馈对象
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:rtype: GovcTaskDeptFeedback
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:raises AssertionError: 当记录已存在时抛出
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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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# 表单验证
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_form = GovcTaskDeptFeedbackForm(formdata=kwargs)
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_form.validate_form()
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# 检查是否已存在相同 task_id 的记录
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if _form.task_id.data:
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_existing = await cls.is_exist(_form.task_id.data)
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assert _existing is None, f"工单ID {_form.task_id.data} 已存在处置反馈记录，不能重复提交。"
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# 创建对象
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_feedback = cls().copy_from_dict(_form.data, skip_none=True).before_save()
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if user:
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_feedback.created_by = user.username
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_feedback.updated_by = user.username
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await _feedback.async_save()
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return _feedback
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@classmethod
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async def delete(cls, feedback_id: Union[str, int]):
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"""
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删除部门处置反馈记录。
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业务流程：
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1. 根据ID查找记录
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2. 验证存在性
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3. 执行删除
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:param feedback_id: 要删除的反馈记录ID
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:return: 删除的记录对象
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:rtype: GovcTaskDeptFeedback
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:raises AssertionError: 当记录不存在时抛出
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"""
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_feedback: cls = await cls.async_find_by_id(feedback_id)
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assert _feedback, f"根据 ID {feedback_id} 未找到部门处置反馈记录。"
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_del_query = delete(cls).where(cls.id == _feedback.id)
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_del_count = (await cls.raw_execute(_del_query)).rowcount
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echo_log(f'已删除部门处置反馈记录（工单ID：{_feedback.task_id}，ID：{_feedback.id}）.')
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return _feedback
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@classmethod
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async def modify(cls, feedback_id: Union[str, int], user: RbacUser = None, **kwargs):
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"""
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修改已有部门处置反馈记录。
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业务流程：
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1. 处理字符串字段去除首尾空格
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2. 使用 GovcTaskDeptFeedbackForm 验证表单数据
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3. 查询原记录
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4. 验证存在性
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5. 更新字段并设置更新者
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6. 保存到数据库
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7. 返回更新后的对象
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:param feedback_id: 要修改的反馈记录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: 修改后的反馈对象
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:rtype: GovcTaskDeptFeedback
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:raises AssertionError: 当记录不存在时抛出
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: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 = GovcTaskDeptFeedbackForm(formdata=kwargs)
|
||
_form.validate_form()
|
||
|
||
# 查询原记录
|
||
_feedback: cls = await cls.async_find_by_id(feedback_id)
|
||
assert _feedback, f'查无此部门处置反馈信息。'
|
||
|
||
# 更新字段
|
||
_feedback.copy_from_dict(_form.data, skip_none=True).before_save()
|
||
if user:
|
||
_feedback.updated_by = user.username
|
||
await _feedback.async_save()
|
||
return _feedback
|
||
|
||
@classmethod
|
||
async def create_batch(cls, data_df: pd.DataFrame, user: RbacUser = None):
|
||
"""
|
||
批量创建部门处置反馈记录（传入数据应为全新记录）。
|
||
|
||
:param data_df: 包含反馈数据的 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
|
||
|
||
# 设置创建者/更新者信息
|
||
if user:
|
||
data_df['created_by'] = user.username
|
||
data_df['updated_by'] = user.username
|
||
|
||
# 转换为对象列表
|
||
records = data_df.to_dict('records')
|
||
feedbacks = [cls().copy_from_dict(record, skip_none=True).before_save() for record in records]
|
||
|
||
# 批量保存
|
||
session = cls.get_aio_session()
|
||
try:
|
||
session.add_all(feedbacks)
|
||
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(feedbacks)} 条部门处置反馈记录。")
|
||
return len(feedbacks)
|
||
|
||
@classmethod
|
||
async def modify_batch(cls, data_df: pd.DataFrame, user: RbacUser = None):
|
||
"""
|
||
批量修改已有部门处置反馈记录。
|
||
|
||
:param data_df: 包含反馈数据的 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
|
||
|
||
# 设置更新信息
|
||
data_df['updated_at'] = datetime.datetime.now()
|
||
if user:
|
||
data_df['updated_by'] = user.username
|
||
|
||
# 转换为字典列表
|
||
update_data = data_df.to_dict('records')
|
||
|
||
# 批量更新
|
||
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} 条部门处置反馈记录。")
|
||
return updated_count
|
||
|
||
@classmethod
|
||
async def save_batch(cls, data_df: pd.DataFrame, user: RbacUser = None):
|
||
"""
|
||
批量保存部门处置反馈数据，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（按task_id判断存在性）
|
||
_exists_df, _latest_df = await cls.exists_task_id(data_df)
|
||
# 批量创建和更新
|
||
_created_count = await cls.create_batch(_latest_df, user)
|
||
_updated_count = await cls.modify_batch(_exists_df, user)
|
||
return _created_count, _updated_count
|