zwf
519 lines
19 KiB
Python
519 lines
19 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 TD3iGovcTaskProces
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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 GovcTaskProcessForm(ModelForm):
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"""
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工单流程追踪表单验证类（完全映射 TD3iGovcTaskProcess 字段）。
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用于验证和处理市12345工单流程追踪的创建/修改表单数据。
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字段完全映射数据库表 t_d3i_govc_task_process 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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task_id = IntegerField('关联工单主表ID', validators=[Optional()])
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handle_time = DateTimeField('办理时间', validators=[Optional()])
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operate_status = StringField('办理状态', validators=[Length(max=128, message='办理状态长度不能超过128字符')])
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activity_guid = StringField('办理环节名称', validators=[Length(max=255, message='办理环节名称长度不能超过255字符')])
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handle_opinion = TextAreaField('办理意见')
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is_finish = IntegerField('是否结束')
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operator_ou_name = StringField('部门', validators=[Length(max=255, message='部门长度不能超过255字符')])
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is_back = IntegerField('是否回退')
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operator_name = StringField('办理人', validators=[Length(max=128, message='办理人长度不能超过128字符')])
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created_at = DateTimeField('创建时间', validators=[Optional()])
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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', validators=[Optional()])
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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 GovcTaskProcessBase(TD3iGovcTaskProces, CommonModel):
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"""
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工单流程追踪基础类（完全映射 TD3iGovcTaskProcess 字段）。
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继承自数据库模型 TD3iGovcTaskProcess 和通用模型 CommonModel。
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封装所有与工单流程追踪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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'handle_time': 'handle_time',
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'operate_status': 'operate_status',
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'activity_guid': 'activity_guid',
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'handle_opinion': 'handle_opinion',
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'is_finish': 'is_finish',
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'operator_ou_name': 'operator_ou_name',
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'is_back': 'is_back',
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'operator_name': 'operator_name',
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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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工单流程追踪数据映射
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"""
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@classmethod
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async def is_exist(cls, task_id: int, activity_guid: str):
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"""
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检查工单流程记录是否已存在（根据工单ID+办理环节名称）。
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:param task_id: 关联工单主表ID
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:param activity_guid: 办理环节名称
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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(
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cls.task_id == task_id,
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cls.activity_guid == activity_guid
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)
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_process: cls = await cls.query_first(_query)
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return _process
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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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按参数搜索工单流程追踪数据的基础方法。
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支持字段：
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- task_id, operate_status, is_finish, is_back, operator_name
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- 支持模糊匹配：activity_guid, handle_opinion, operator_ou_name
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- 支持精确匹配：task_id, is_finish, is_back
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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 {'handle_time': 'desc'}
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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 operate_status: 精确匹配办理状态
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:key str activity_guid: 模糊匹配办理环节名称
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:key str handle_opinion: 模糊匹配办理意见
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:key int is_finish: 精确匹配是否结束
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:key str operator_ou_name: 模糊匹配部门
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:key int is_back: 精确匹配是否回退
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:key str operator_name: 精确匹配办理人
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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.activity_guid.key: '%{}%',
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cls.handle_opinion.key: '%{}%',
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cls.operator_ou_name.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.handle_time.desc())
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_process_df = await cls.query_as_df(_data_query)
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if not _process_df.empty:
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_process_df.replace(models.EmptyInDF + models.EmptyDatetimeInDF, '', inplace=True)
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_process_df[cls.id.key] = _process_df[cls.id.key].astype(str)
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_process_df[cls.task_id.key] = _process_df[cls.task_id.key].astype(str)
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return _process_df, _paging
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@classmethod
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async def search(cls, **kwargs):
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"""
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按参数搜索工单流程追踪数据，返回分页格式数据。
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"""
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_process_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': _process_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_activity(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 + activity_guid 判断。
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:param data_df: 输入的数据框架，必须包含 task_id 和 activity_guid 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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# 校验必要列
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required_cols = [cls.task_id.key, cls.activity_guid.key]
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if not all(col in data_df.columns for col in required_cols):
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echo_log(f"错误：exists_task_activity 要求输入数据必须包含 {required_cols} 列")
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return pd.DataFrame(), data_df.copy()
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# 构建 task_id+activity_guid 组合键
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data_df['_combine_key'] = data_df[cls.task_id.key].astype(str) + '|' + data_df[
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cls.activity_guid.key].str.strip()
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# 获取待查询的组合键列表（去重）
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combine_keys = data_df['_combine_key'].unique().tolist()
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if not combine_keys:
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return pd.DataFrame(), data_df.copy()
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# 查询数据库中已存在的记录
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_query = select(cls.id, cls.task_id, cls.activity_guid)
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_process_df = await cls.query_as_df(_query)
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if _process_df.empty:
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data_df.drop(columns=['_combine_key'], inplace=True)
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return pd.DataFrame(), data_df.copy()
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# 构建数据库组合键
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_process_df['_combine_key'] = _process_df[cls.task_id.key].astype(str) + '|' + _process_df[
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cls.activity_guid.key].str.strip()
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combine_key_to_id_map = dict(zip(_process_df['_combine_key'], _process_df[cls.id.key]))
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# 根据组合键划分数据
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mask_exists = data_df['_combine_key'].isin(_process_df['_combine_key'])
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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['_combine_key'].map(combine_key_to_id_map)
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latest_df = data_df[~mask_exists].copy()
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# 清理临时列
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for df in [exists_df, latest_df, data_df]:
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if '_combine_key' in df.columns:
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df.drop(columns=['_combine_key'], inplace=True)
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return exists_df, latest_df
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@register_swagger_model
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class GovcTaskProcess(GovcTaskProcessBase):
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"""
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工单流程追踪模型类（主业务类，完全继承 TD3iGovcTaskProcess 字段）。
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---
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description: 市12345工单流程追踪接口
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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: 5001
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handle_time:
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description: 办理时间
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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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operate_status:
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description: 办理状态
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type: string
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example: "处理中"
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maxLength: 128
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activity_guid:
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description: 办理环节名称
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type: string
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example: "市级受理"
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maxLength: 255
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handle_opinion:
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description: 办理意见
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type: string
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example: "已接收工单，正在分派处理"
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is_finish:
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description: 是否结束（0:未结束，1:已结束）
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type: integer
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example: 0
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operator_ou_name:
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description: 部门
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type: string
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example: "市12345政务服务中心"
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maxLength: 255
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is_back:
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description: 是否回退（0:否，1:是）
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type: integer
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example: 0
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operator_name:
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description: 办理人
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type: string
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example: "张三"
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maxLength: 128
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created_at:
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description: 创建时间，ISO格式的日期时间字符串
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type: string
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format: date-time
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example: "2024-01-15 10:30:00"
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readOnly: true
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created_by:
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description: 创建者用户名
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type: string
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example: "system"
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readOnly: true
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updated_at:
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description: 修改时间，ISO格式的日期时间字符串
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type: string
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format: date-time
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example: "2024-01-16 14:25:00"
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readOnly: true
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updated_by:
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description: 修改者用户名
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type: string
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example: "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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创建新的工单流程追踪记录。
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业务流程：
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1. 使用 GovcTaskProcessForm 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+activity_guid 的记录（避免重复提交）
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3. 创建新流程追踪对象
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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: 工单流程追踪参数字典
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:return: 新建流程追踪对象
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:rtype: GovcTaskProcess
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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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_form = GovcTaskProcessForm(formdata=kwargs)
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_form.validate_form()
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# 检查是否已存在相同 task_id+activity_guid 的记录
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_existing = await cls.is_exist(_form.task_id.data, _form.activity_guid.data)
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assert _existing is None, f"工单ID {_form.task_id.data} 的 {_form.activity_guid.data} 环节记录已存在，不能重复提交。"
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# 创建对象
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_process = cls().copy_from_dict(_form.data, skip_none=True).before_save()
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if user:
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_process.created_by = user.username
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_process.updated_by = user.username
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await _process.async_save()
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return _process
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@classmethod
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async def delete(cls, process_id: Union[str, int]):
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"""
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删除工单流程追踪记录。
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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 process_id: 要删除的流程追踪记录ID
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:return: 删除的记录对象
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:rtype: GovcTaskProcess
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:raises AssertionError: 当记录不存在时抛出
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"""
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_process: cls = await cls.async_find_by_id(process_id)
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assert _process, f"根据 ID {process_id} 未找到工单流程追踪记录。"
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_del_query = delete(cls).where(cls.id == _process.id)
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_del_count = (await cls.raw_execute(_del_query)).rowcount
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echo_log(f'已删除工单流程追踪记录（工单ID：{_process.task_id}，环节：{_process.activity_guid}，ID：{_process.id}）.')
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return _process
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@classmethod
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async def modify(cls, process_id: Union[str, int], user: RbacUser = None, **kwargs):
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"""
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修改已有工单流程追踪记录。
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业务流程：
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1. 将 process_id 添加到参数中
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2. 处理字符串字段去除首尾空格
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3. 使用 GovcTaskProcessForm 验证表单数据
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4. 查询原记录
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5. 验证存在性
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6. 更新字段并设置更新者
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7. 保存到数据库
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8. 返回更新后的对象
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:param process_id: 要修改的流程追踪记录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: 修改后的流程追踪对象
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:rtype: GovcTaskProcess
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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
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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 = GovcTaskProcessForm(formdata=kwargs)
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_form.validate_form()
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# 查询原记录
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_process: cls = await cls.async_find_by_id(process_id)
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assert _process, f'查无此工单流程追踪信息（ID：{process_id}）。'
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# 更新字段
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_process.copy_from_dict(_form.data, skip_none=True).before_save()
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if user:
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_process.updated_by = user.username
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await _process.async_save()
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return _process
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@classmethod
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async def create_batch(cls, data_df: pd.DataFrame, user: RbacUser = None):
|
||
"""
|
||
批量创建工单流程追踪记录（传入数据应为全新记录）。
|
||
|
||
:param data_df: 包含流程追踪数据的 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
|
||
current_time = datetime.datetime.now()
|
||
if user:
|
||
data_df['created_by'] = user.username
|
||
data_df['updated_by'] = user.username
|
||
# 补充默认时间字段
|
||
data_df['created_at'] = data_df.get('created_at', current_time)
|
||
data_df['updated_at'] = data_df.get('updated_at', current_time)
|
||
|
||
records = data_df.to_dict('records')
|
||
processes = [cls().copy_from_dict(record, skip_none=True).before_save() for record in records]
|
||
|
||
session = cls.get_aio_session()
|
||
try:
|
||
session.add_all(processes)
|
||
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(processes)} 条工单流程追踪记录。")
|
||
return len(processes)
|
||
|
||
@classmethod
|
||
async def modify_batch(cls, data_df: pd.DataFrame, user: RbacUser = None):
|
||
"""
|
||
批量修改已有工单流程追踪记录。
|
||
|
||
:param data_df: 包含流程追踪数据的 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 cls.id.key 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和更新者
|
||
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')
|
||
|
||
# 使用 bulk_update_mappings 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} 条工单流程追踪记录。")
|
||
return updated_count
|
||
|
||
@classmethod
|
||
async def save_batch(cls, data_df: pd.DataFrame, user: RbacUser = None):
|
||
"""
|
||
批量保存工单流程追踪数据，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（根据 task_id + activity_guid 判断是否已存在）
|
||
_exists_df, _latest_df = await cls.exists_task_activity(data_df)
|
||
# 保存到数据库
|
||
_created_count = await cls.create_batch(_latest_df, user)
|
||
_updated_count = await cls.modify_batch(_exists_df, user)
|
||
return _created_count, _updated_count |