saas1.6日志更新
This commit is contained in:
@@ -1,11 +1,8 @@
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import datetime
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import os
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import time
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import requests
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from api import API
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import re
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from back_ground_module import CommonModule
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import pandas as pd
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from log_config import configure_task_logger, configure_error_task_logger
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@@ -179,152 +176,149 @@ class NewExceptionTask:
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def main(self):
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task_start_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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try:
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global png_url, key, upload_key, province_name, city_name, area_name
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self.load_all_data()
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global png_url, key, upload_key
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self.load_all_data()
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self.data_yichang_S = common_module.get_yichang_details(days_back=1).astype(str) # 获取data_NGV 并转为str
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self.index = self.build_index(self.json_list)
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self.data_yichang_S = common_module.get_yichang_details(days_back=1).astype(str) # 获取data_NGV 并转为str
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self.index = self.build_index(self.json_list)
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logger.info("开始运行SaaS异常回访")
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print("开始运行main")
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print(self.date_one)
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data_yichang = self.data_yichang_S.copy()
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data_yichang = self.data_yichang_S.copy()
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def replace_values(series):
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# 使用条件判断来进行替换
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return series.apply(lambda x: '' if pd.isna(x) or x in ['NA', 'None', ''] else x)
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def replace_values(series):
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# 使用条件判断来进行替换
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return series.apply(lambda x: '' if pd.isna(x) or x in ['NA', 'None', ''] else x)
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# 对整个DataFrame的所有列应用替换函数
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data_yichang = data_yichang.apply(replace_values)
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# 对整个DataFrame的所有列应用替换函数
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data_yichang = data_yichang.apply(replace_values)
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for index_num, row in data_yichang.iterrows(): # 对过滤后的每一条进行派发
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try:
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payload_dict = {}
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print(data_yichang.iterrows())
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for index_num, row in data_yichang.iterrows(): # 对过滤后的每一条进行派发
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try:
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print("1111")
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payload_dict = {}
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distribution_date = datetime.datetime.now(datetime.timezone.utc)
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distribution_date = distribution_date.strftime('%Y-%m-%dT%H:%M:%S.%f')[:-3] + 'Z'
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distribution_date = datetime.datetime.now(datetime.timezone.utc)
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distribution_date = distribution_date.strftime('%Y-%m-%dT%H:%M:%S.%f')[:-3] + 'Z'
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date_obj1 = datetime.datetime.strptime(row["init_day"], "%Y%m%d").strftime("%Y-%m-%d")
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date_obj2 = datetime.datetime.strptime(row["push_day"], "%Y%m%d").strftime("%Y-%m-%d")
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date_obj1 = datetime.datetime.strptime(row["init_day"], "%Y%m%d").strftime("%Y-%m-%d")
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date_obj2 = datetime.datetime.strptime(row["push_day"], "%Y%m%d").strftime("%Y-%m-%d")
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NGV_roles = {
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'service_impl_principal': row['service_impl_principal'], # 运营负责人
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'area_manager': row['area_manager'], # 区域经理
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'technician': row['technician'], # 运营专家
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}
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for role, name in NGV_roles.items(): # 寻找对应的员工ID
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for row_item in self.staff_id_list:
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staff_id = self.get_staff_id(row_item, name)
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if staff_id:
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NGV_roles[role] = staff_id
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break # 找到后退出循环
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else:
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NGV_roles[role] = None # 如果没有找到对应的员工ID
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relationship_manager, area_manager, technician = [NGV_roles[role] for role in
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['service_impl_principal',
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'area_manager',
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'technician']]
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NGV_roles = {
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'service_impl_principal': row['service_impl_principal'], # 运营负责人
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'area_manager': row['area_manager'], # 区域经理
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'technician': row['technician'], # 运营专家
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}
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print('NGV_roles', NGV_roles)
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for role, name in NGV_roles.items(): # 寻找对应的员工ID
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for row_item in self.staff_id_list:
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staff_id = self.get_staff_id(row_item, name)
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if staff_id:
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NGV_roles[role] = staff_id
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break # 找到后退出循环
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else:
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NGV_roles[role] = None # 如果没有找到对应的员工ID
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print('NGV_roles[role]', NGV_roles)
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relationship_manager, area_manager, technician = [NGV_roles[role] for role in
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['service_impl_principal',
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'area_manager',
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'technician']]
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UUid = time.strftime("%Y%m%d%H%M%S", time.localtime())
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UUid = time.strftime("%Y%m%d%H%M%S", time.localtime())
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NGV_data_id = None
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# 获取关联数据
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for NGV_Data in self.NGV_data_list:
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# NGV_Data = NGV_Data.get("data")
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if row["org_code"] == NGV_Data.get("_widget_1734062123071"): # 门店编码
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NGV_data_id = NGV_Data.get("_id")
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province_name = NGV_Data.get("_widget_1734062123090")
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city_name = NGV_Data.get("_widget_1734062123092")
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area_name = NGV_Data.get("_widget_1734062123094")
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logger.info(f"获取关联数据成功:{NGV_data_id}, {province_name}, {city_name}, {area_name}")
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NGV_data_id = None
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# 获取关联数据
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for NGV_Data in self.NGV_data_list:
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# NGV_Data = NGV_Data.get("data")
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if row["org_code"] == NGV_Data.get("_widget_1734062123071"): # 门店编码
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NGV_data_id = NGV_Data.get("_id")
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province_name = NGV_Data.get("_widget_1734062123090")
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city_name = NGV_Data.get("_widget_1734062123092")
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area_name = NGV_Data.get("_widget_1734062123094")
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print('111111', NGV_data_id, province_name, city_name, area_name)
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if not NGV_data_id:
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logger.warning(f"未找到关联数据，请检查门店编码: {row['org_code']}")
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if not NGV_data_id:
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print("未找到数据ID")
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# 根据省市区派发给异常回访客服
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customer_service = self.assign_customer_service(province_name, city_name, area_name, self.index)
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# 根据省市区派发给异常回访客服
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print('333', province_name, city_name, area_name)
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customer_service = self.assign_customer_service(province_name, city_name, area_name, self.index)
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payload_dict.update({
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"_widget_1748241895829": {"value": row["health_warning_info"]}, # 活跃健康状态变化
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payload_dict.update({
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"_widget_1748241895829": {"value": row["health_warning_info"]}, # 活跃健康状态变化
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"_widget_1748241895830": {"value": row["org_name"]}, # 门店名称
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"_widget_1748241895830": {"value": row["org_name"]}, # 门店名称
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"_widget_1748241895831": {"value": row["contacts"]}, # 联系人
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"_widget_1748241895831": {"value": row["contacts"]}, # 联系人
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"_widget_1748241895832": {"value": row['contact_mobile']}, # 联系方式
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"_widget_1748241895832": {"value": row['contact_mobile']}, # 联系方式
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"_widget_1748241895833": {
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"value": int(time.mktime(time.strptime(date_obj1, "%Y-%m-%d")) * 1000) if row[
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"init_day"] != '' else ''},
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# 初始日
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"_widget_1748241895833": {"value": int(time.mktime(time.strptime(date_obj1, "%Y-%m-%d")) * 1000) if row[
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"init_day"] != '' else ''},
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# 初始日
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"_widget_1748241895834": {
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"value": int(time.mktime(time.strptime(date_obj2, "%Y-%m-%d")) * 1000) if row[
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"push_day"] != '' else ''},
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# 推进日
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"_widget_1748241895834": {"value": int(time.mktime(time.strptime(date_obj2, "%Y-%m-%d")) * 1000) if row[
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"push_day"] != '' else ''},
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# 推进日
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"_widget_1748246808678": {"value": customer_service}, # 当前跟进人
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"_widget_1748246808678": {"value": customer_service}, # 当前跟进人
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"_widget_1748246808679": {"value": relationship_manager}, # 运营负责人
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"_widget_1748246808679": {"value": relationship_manager}, # 运营负责人
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"_widget_1748246808680": {"value": customer_service}, # 区域客服
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"_widget_1748246808680": {"value": customer_service}, # 区域客服
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"_widget_1748241895839": {
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"value": int(time.mktime(time.strptime(row["saas_create_time"], "%Y-%m-%d")) * 1000) if row[
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"saas_create_time"] != '' else ''},
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# 开户时间
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"_widget_1748241895839": {
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"value": int(time.mktime(time.strptime(row["saas_create_time"], "%Y-%m-%d")) * 1000) if row[
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"saas_create_time"] != '' else ''},
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# 开户时间
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"_widget_1748246808681": {"value": technician}, # 技术专家
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"_widget_1748246808681": {"value": technician}, # 技术专家
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"_widget_1748246808682": {"value": area_manager}, # 区域经理
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"_widget_1748246808682": {"value": area_manager}, # 区域经理
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"_widget_1748241895842": {"value": row['org_code']}, # 门店编码
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"_widget_1748241895842": {"value": row['org_code']}, # 门店编码
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"_widget_1748241895844": {"value": row['group_name']}, # 公司名称
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"_widget_1748241895844": {"value": row['group_name']}, # 公司名称
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"_widget_1748241895846": {"value": row['group_grade']}, # 公司等级
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"_widget_1748241895846": {"value": row['group_grade']}, # 公司等级
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"_widget_1748241895847": {"value": row['region_name']}, # 大区
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"_widget_1748241895847": {"value": row['region_name']}, # 大区
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"_widget_1748241895848": {"value": row['province_name']}, # 省
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"_widget_1748241895848": {"value": row['province_name']}, # 省
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"_widget_1748241895849": {"value": row['org_type']}, # 门店类型
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"_widget_1748241895849": {"value": row['org_type']}, # 门店类型
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"_widget_1748241895850": {"value": row['saas_edition_fmt']}, # 系统版本
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"_widget_1748241895850": {"value": row['saas_edition_fmt']}, # 系统版本
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"_widget_1748241895851": {"value": row['saas_customer_type']}, # saas客户类型
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"_widget_1748241895851": {"value": row['saas_customer_type']}, # saas客户类型
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"_widget_1748241895852": {"value": row['org_stage']}, # 门店阶段
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"_widget_1748241895852": {"value": row['org_stage']}, # 门店阶段
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"_widget_1748241895853": {"value": row['contact_mobile']}, # 操作模式E.L/E.S
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"_widget_1748241895853": {"value": row['contact_mobile']}, # 操作模式E.L/E.S
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"_widget_1748241895855": {"value": row['city_name']}, # 城市
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"_widget_1748241895855": {"value": row['city_name']}, # 城市
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"_widget_1748247754304": {"value": NGV_data_id}, # 数据id
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"_widget_1748247754304": {"value": NGV_data_id}, # 数据id
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"_widget_1748512176655": {"value": "未处理"}, # 跟进状态
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"_widget_1748512176655": {"value": "未处理"}, # 跟进状态
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})
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})
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routine_follow_up_payload = {
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"api_key": "675b900991ad2491c69389ca",
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"entry_id": "68340de79f116c0b66b6b0cc", # 异常服务跟进待办
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"is_start_workflow": "true",
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"data": payload_dict,
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"transaction_id": UUid
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}
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routine_follow_up_payload = {
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"api_key": "675b900991ad2491c69389ca",
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"entry_id": "68340de79f116c0b66b6b0cc", # 异常服务跟进待办
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"is_start_workflow": "true",
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"data": payload_dict,
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"transaction_id": UUid
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}
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# print(routine_follow_up_payload)
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res = api_instance.data_batch_create(routine_follow_up_payload)
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logger.info(f"创建结果：{res}")
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except:
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pass
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common_module.send_task_status(task_start_time, "异常服务待办派发")
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res = api_instance.data_batch_create(routine_follow_up_payload)
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logger.info(f"创建结果：{res}")
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except:
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pass
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common_module.send_task_status(task_start_time, "异常服务待办派发")
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except Exception as e:
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error_task_logger.error(f"异常服务待办派发执行时发生异常: {e}")
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common_module.send_task_error(task_start_time, "异常服务待办派发", str(e))
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if __name__ == '__main__':
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