972 lines
58 KiB
Python
972 lines
58 KiB
Python
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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from back_ground_module import CommonModule
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import pandas as pd
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import datetime
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import re
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from log_config import configure_task_logger, configure_error_task_logger
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api_instance = API()
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common_module = CommonModule()
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# start_time = datetime.datetime.now()
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# 获取已经配置好的常规日志记录器
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logger = configure_task_logger()
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# 获取已经配置好的错误任务日志记录器
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error_task_logger = configure_error_task_logger()
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class RenewServicesRevisit:
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"""续约回访90-180"""
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def __init__(self):
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self.index = None
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self.data_NGV = None
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self.date_list = None
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self.Smart_detection = None
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self.service_remind = None
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self.json_list = []
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self.NGV_data_list = None
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self.permissions_table = None
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self.staff_id_list = None
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self.get_feature_usage = None
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self.policy_recognition = None
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self.widget_list = None
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self.private_domain = None
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self.public_domain = None
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self.public_domain_list = None
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self.different_industries = None
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self.different_industries_list = None
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self.groupnotification = None
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def load_all_data(self):
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"""加载所有必要的数据表"""
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# 省市区人员关系表
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payload = {"api_key": "675b900991ad2491c69389ca", "entry_id": "676512ac3e54dc3159460c0a"}
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json_dict = api_instance.entry_data_list(payload)
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if json_dict and "data" in json_dict:
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self.json_list = json_dict.get("data")
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else:
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print("加载省市区人员关系表失败")
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self.json_list = []
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# 获取简道云员工id
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payload = {"api_key": "6694d3c4fcb69ca9a111a6c4",
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"entry_id": "6769204a1902c9341340a1bc",
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}
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staff_id = api_instance.entry_data_list(payload)
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self.staff_id_list = staff_id.get("data") # api请求格式，将数据封装在data字典里
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# 获取权限表信息
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payload = {"api_key": "675b900991ad2491c69389ca", "entry_id": "675b96c14e839f90fef1647c"}
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self.permissions_table = api_instance.entry_data_list(payload).get("data")
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# 获取NGV数据
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payload = {"api_key": "675b900991ad2491c69389ca", "entry_id": "675bb02bd2d53c2034c665e4"}
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self.NGV_data_list = api_instance.entry_data_list(payload).get("data")
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# print("NGV获取后的类型：", type(self.NGV_data_list))
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# 获取服务提醒-数据支持表单数据
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payload = {"api_key": "675b900991ad2491c69389ca", "entry_id": "676bb7bda3029720f1083e99"}
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self.service_remind = api_instance.entry_data_list(payload).get("data")
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# 获取智能检测-数据支持表单数据
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payload = {"api_key": "675b900991ad2491c69389ca", "entry_id": "676bb99649ab3ac975af6e39"}
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self.Smart_detection = api_instance.entry_data_list(payload).get("data")
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# 获取功能使用情况表
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payload = {"api_key": "675b900991ad2491c69389ca", "entry_id": "6763bbf657bd8fb76fcb41b2"}
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self.get_feature_usage = api_instance.entry_data_list(payload).get("data", [])
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# 获取保单识别表
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payload = {"api_key": "675b900991ad2491c69389ca", "entry_id": "6773a60d30ed87ff9f68d3c5"}
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self.policy_recognition = api_instance.entry_data_list(payload).get("data")
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# 提取 _widget_1735632397600 的值并存储在列表中
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self.widget_list = [item['_widget_1735632397600'] for item in self.policy_recognition]
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# 获取私域小程序-数据支持表单数据
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payload = {"api_key": "675b900991ad2491c69389ca", "entry_id": "67e0f0fae622896749ba5087"}
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self.private_domain = api_instance.entry_data_list(payload).get("data", [])
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# 提取 _widget_1742795002375 的值并存储在列表中
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# self.private_domain_list = [item['_widget_1742795002375'] for item in self.private_domain]
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# 获取公域小程序-数据支持表单数据
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payload = {"api_key": "675b900991ad2491c69389ca", "entry_id": "67e0c702c8f603b997980999"}
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self.public_domain = api_instance.entry_data_list(payload).get("data", [])
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# 提取 _widget_1742784257506 的值并存储在列表中
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self.public_domain_list = [item['_widget_1742784257506'] for item in self.public_domain]
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# 获取异业合作-数据支持表单数据
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payload = {"api_key": "675b900991ad2491c69389ca", "entry_id": "67e24fdd8dfcfa918e17c30b"}
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self.different_industries = api_instance.entry_data_list(payload).get("data", [])
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# 提取 _widget_1742784257506 的值并存储在列表中
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self.different_industries_list = [item['_widget_1742884829007'] for item in self.different_industries]
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# 获取短信-数据支持表单数据
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payload = {"api_key": "675b900991ad2491c69389ca", "entry_id": "67e5107198ba1b20d5df3974"}
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self.groupnotification = api_instance.entry_data_list(payload).get("data", [])
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# 获取多公司过滤表
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payload = {"api_key": "675b900991ad2491c69389ca", "entry_id": "689bf5f8ba88a28cb0679ec9"}
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self.get_filter_company_list = api_instance.entry_data_list(payload).get("data", [])
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@staticmethod
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def download_url_content(url, save_path):
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"""
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下载指定 URL 的内容并保存到本地文件。
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:param url: 要下载内容的 URL
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:param save_path: 保存文件的路径
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"""
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try:
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# 发送 GET 请求以获取内容
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response = requests.get(url, stream=True)
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response.raise_for_status() # 如果响应状态码不是 200，抛出异常
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# 确保保存目录存在
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os.makedirs(os.path.dirname(save_path), exist_ok=True)
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# 将内容写入文件
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with open(save_path, 'wb') as file:
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for chunk in response.iter_content(chunk_size=8192): # 分块写入，避免占用过多内存
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if chunk: # 过滤掉空块
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file.write(chunk)
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print(f"文件已成功保存到 {save_path}")
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except requests.exceptions.RequestException as e:
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print(f"下载失败: {e}")
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except Exception as e:
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print(f"发生错误: {e}")
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@staticmethod
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def build_index(json_list):
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index = {}
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for json_item in json_list:
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try:
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key = (json_item['_widget_1734677164861'], json_item['_widget_1734677164862'],
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json_item['_widget_1734677164863']) # 省市区
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if '_widget_1734677164871' not in json_item: # 日常回访客服
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raise KeyError("缺少 '日常回访客服' 键")
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index[key] = json_item
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except KeyError as e:
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print(f"警告：{e}，跳过该条记录: {json_item}")
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continue
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return index
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@staticmethod
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def find_customer_service(province_name, city_name, area_name, index):
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key = (province_name, city_name, area_name)
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# print(index)
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if key not in index:
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return "数据缺失: 未找到对应的日常回访客服"
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return index[key]
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@staticmethod
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def remove_parentheses(text: str) -> str:
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# 使用正则表达式匹配并去除括号及其内容
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# \s* 表示匹配零个或多个空白字符（处理括号前后可能存在的空格）
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# $ 和 $ 分别表示匹配左括号和右括号
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# 中间的 .*? 表示非贪婪地匹配任意数量的字符（包括没有字符的情况）
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cleaned_text = re.sub(r'\s*$.*?$\s*', '', text)
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# 为了确保同时处理中文括号，再进行一次替换
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cleaned_text = re.sub(r'\s*（.*?）\s*', '', cleaned_text)
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return cleaned_text.strip() # 去除两端多余的空白字符
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@staticmethod
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def get_staff_id(row_item, name):
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"""辅助函数，用于获取员工ID"""
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if str(row_item["_widget_1734942794144"]) == str(name): # 检查姓名是否匹配
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return row_item["_widget_1734942794145"] # 返回员工ID
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return None
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def assign_customer_service(self, province_name, city_name, area_name, index):
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"""根据省市区派发给日常回访客服"""
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try:
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customer_service_info = self.find_customer_service(province_name, city_name, area_name, index)
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# 定义一个辅助函数，用于安全地获取多层字段中的 username
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def safe_get_username(data, key):
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try:
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if isinstance(data, dict):
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return data.get(key, {}).get('username', "")
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return ""
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except:
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return ""
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relationship_manager = safe_get_username(customer_service_info, '_widget_1734677164864')
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customer_service = safe_get_username(customer_service_info, '_widget_1734677164871')
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technician = safe_get_username(customer_service_info, '_widget_1734677164866')
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area_manager = safe_get_username(customer_service_info, '_widget_1734677164865')
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return relationship_manager, customer_service, technician, area_manager
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except Exception as e:
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print(f"Error finding customer service: {e}")
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return "分配失败，请检查", "分配失败，请检查", "分配失败，请检查"
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def calculate_date_one(self, start_offset=0):
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"""
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计算从当前日期（或指定偏移量的日期）开始，往前遍历遇到date_list中日期的次数。
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参数:
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- start_offset: 从当前日期起始的天数偏移量，默认为0（即今天）。负数表示过去，正数表示未来。
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返回:
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- date_one: 遍历到date_list中日期的次数。
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"""
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# 设置起始日期
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now_time = datetime.datetime.now() + datetime.timedelta(days=start_offset)
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# 初始化计数器
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date_one = 1
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print("当前日期：", now_time.strftime("%Y-%m-%d"))
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# 检查起始日期是否在date_list中
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if now_time.strftime("%Y-%m-%d") in self.date_list:
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date_one = 0
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print("开始次数：", date_one)
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else:
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# 遍历日期
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for i in range(1, 10):
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new_date = now_time + datetime.timedelta(days=-i)
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new_date_str = new_date.strftime("%Y-%m-%d")
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print("遍历日期：", new_date_str)
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if new_date_str in self.date_list:
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date_one += 1
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print("节假日期：", new_date_str)
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else:
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break
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print("遍历次数：", date_one)
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return date_one
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def main(self):
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import datetime
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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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logger.info("开始执行任务")
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# 主店过期，分店设置为主店
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global png_url, upload_key
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self.load_all_data()
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logger.info("数据加载完成")
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self.date_list = common_module.get_holiday_list() # 获取一年中的节假日
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self.date_one = self.calculate_date_one(start_offset=0)
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self.data_NGV = common_module.get_ngv_details(days_back=1) # 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("获取多公司过滤公司id")
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all_filter_company_list = [] # 获取多公司过滤公司id
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for company in self.get_filter_company_list:
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company_list = company.get("_widget_1755052002491")
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for company_item in company_list:
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if company_item.get("_widget_1755052002496") == "否":
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all_filter_company_list.append(company_item.get("_widget_1755052002495"))
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logger.info(f"过滤公司条数:{len(all_filter_company_list)}")
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# 将A列和B列的日期字符串转换为日期格式
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data_NGV = self.data_NGV.copy()
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data_NGV['A'] = pd.to_datetime(data_NGV['expiry_time'])
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data_NGV['B'] = pd.to_datetime(data_NGV['renew_date'])
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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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# 处理字符串数据并显式指定数据类型
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data_NGV = data_NGV.apply(replace_values)
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# 过滤多公司
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data_NGV = data_NGV[~data_NGV['id_own_group'].isin(all_filter_company_list)]
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# 定义优先级顺序
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edition_order = ['皇冠版', '至尊版', '尊享版', '旗舰版', '标准版', '进阶版', '基础版', '入门版']
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customer_type_order = ["F", "E", "D", "C", "B", "A"] # 索引越小优先级越高
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group_grade_order = ['全国KA（FMVP）', '区域KA（MVP）', '重要客户（SVIP）', '普通客户（VIP）']
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|
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# 创建映射字典，并为不在列表中的值设置默认值
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edition_map = {edition: idx for idx, edition in enumerate(edition_order)}
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customer_type_map = {ctype: idx for idx, ctype in enumerate(customer_type_order)}
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group_grade_map = {grade: idx for idx, grade in enumerate(group_grade_order)}
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|
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# 添加用于排序的新列，并处理不在映射字典中的值
|
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data_NGV['edition_rank'] = data_NGV['saas_edition_fmt'].map(edition_map).fillna(0).astype(
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int) # 缺失值用最高优先级填充
|
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data_NGV['customer_type_rank'] = data_NGV['saas_customer_type'].map(customer_type_map).fillna(0).astype(int)
|
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data_NGV['group_grade_rank'] = data_NGV['group_grade'].map(group_grade_map).fillna(0).astype(int)
|
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# data_NGV.to_csv("88855.csv")
|
||
|
||
# 找到每组中 edition_rank 最小值对应的行
|
||
best_edition_idx = data_NGV.groupby('id_own_group')['edition_rank'].idxmin()
|
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best_edition_rows = data_NGV.loc[best_edition_idx]
|
||
best_edition_rows['max_saas_edition'] = best_edition_rows['saas_edition_fmt']
|
||
|
||
# 找到每组中 customer_type_rank 最小值对应的行
|
||
best_customer_type_idx = data_NGV.groupby('id_own_group')['customer_type_rank'].idxmin()
|
||
best_customer_type_rows = data_NGV.loc[best_customer_type_idx]
|
||
best_customer_type_rows['max_saas_customer_type'] = best_customer_type_rows['customer_type_rank'].apply(
|
||
lambda x: customer_type_order[x])
|
||
|
||
# 找到每组中 group_grade_rank 最小值对应的行
|
||
best_group_grade_idx = data_NGV.groupby('id_own_group')['group_grade_rank'].idxmin()
|
||
best_group_grade_rows = data_NGV.loc[best_group_grade_idx]
|
||
best_group_grade_rows['max_group_grade'] = best_group_grade_rows['group_grade']
|
||
|
||
# 合并最佳值回到原数据集
|
||
best_values = (
|
||
best_edition_rows[['id_own_group', 'max_saas_edition']]
|
||
.merge(best_customer_type_rows[['id_own_group', 'max_saas_customer_type']], on='id_own_group',
|
||
how='outer')
|
||
.merge(best_group_grade_rows[['id_own_group', 'max_group_grade']], on='id_own_group', how='outer')
|
||
)
|
||
|
||
# 将最佳值合并回原数据集
|
||
data_NGV = data_NGV.merge(best_values, on='id_own_group', how='left')
|
||
|
||
condition = (data_NGV['is_main_org'] == 1) & (data_NGV['org_status'] == '过期') # 步骤2: 过滤条件
|
||
|
||
ngvv2 = data_NGV[condition]
|
||
# ngvv2.to_excel(r"C:\Users\Administrator.DESKTOP-7IC2USJ\Desktop\NGVV2.xlsx")
|
||
|
||
data_NGV_V2 = data_NGV.copy() # 步骤3: 检查id_own_group是否存在于ngvv2中
|
||
data_NGV_V2['条件'] = ((data_NGV_V2['org_type'] == "一般") & (data_NGV_V2['org_status'] == '留存') &
|
||
(data_NGV_V2['area_manager'] != '殷昊') & (
|
||
data_NGV_V2['area_manager'] != '孙玉蕾') & (
|
||
data_NGV_V2['is_main_org'] != 1))
|
||
data_NGV_V2 = data_NGV_V2.loc[data_NGV_V2["条件"]]
|
||
# 步骤4: 过滤存在的记录
|
||
data_NGV_V2['exists_in_ngvv2'] = data_NGV_V2['id_own_group'].isin(ngvv2['id_own_group'])
|
||
filtered_data = data_NGV_V2[data_NGV_V2['exists_in_ngvv2']]
|
||
|
||
fixed_order = ['皇冠版', '至尊版', '尊享版', '旗舰版', '标准版', '进阶版', '基础版', '入门版']
|
||
# sorted_items = sorted(filtered_data, key=lambda x: fixed_order.index(x))
|
||
|
||
fixed_order_map = {edition: index for index, edition in enumerate(fixed_order)}
|
||
filtered_data['sort_key'] = filtered_data['saas_edition_fmt'].map(fixed_order_map)
|
||
filtered_data = filtered_data.sort_values(by='sort_key').drop('sort_key', axis=1)
|
||
|
||
result = filtered_data.drop_duplicates(subset='id_own_group', keep='first')
|
||
|
||
data_NGV['条件'] = (data_NGV['org_type'] == "一般") & (data_NGV['org_status'] == '留存') & (
|
||
data_NGV['area_manager'] != '殷昊') & (
|
||
data_NGV['area_manager'] != '孙玉蕾') & (
|
||
data_NGV['is_main_org'] == 1)
|
||
data_NGV = data_NGV.loc[data_NGV["条件"]]
|
||
|
||
data_NGV = pd.concat([data_NGV, result], axis=0)
|
||
data_details = data_NGV.copy()
|
||
|
||
# 重置索引
|
||
data_details = data_details.reset_index(drop=True)
|
||
# data_details.to_csv("dayin.csv")
|
||
# 判断A列的日期是否大于B列的日期730天，如果是的话，将B列的值设置为1
|
||
data_details['条件'] = data_details.apply(
|
||
lambda row: (
|
||
(pd.to_datetime(row['A']) - pd.to_datetime(row['B'])).days
|
||
if pd.to_datetime(row['A']) - pd.to_datetime(row['B']) >= pd.Timedelta(days=730)
|
||
else 0
|
||
),
|
||
axis=1
|
||
)
|
||
data_details = data_details.loc[data_details["条件"] > 0]
|
||
|
||
# 定义一个函数，用于将数字除以365并取整数
|
||
def divide_by_365(x):
|
||
if isinstance(x, (int, float)):
|
||
return int(x / 365)
|
||
else:
|
||
return x
|
||
|
||
# 使用applymap()函数将divide_by_365函数应用到DataFrame的每个元素
|
||
data_details['年'] = data_details['条件'].apply(divide_by_365)
|
||
# 重置索引
|
||
data_details = data_details.reset_index(drop=True)
|
||
# data_details.to_excel(r"C:\Users\admin\Downloads\2.xlsx")
|
||
# 创建一个新的空的DataFrame
|
||
new_df = pd.DataFrame()
|
||
# 遍历原始DataFrame的每一行
|
||
from datetime import datetime
|
||
for index, row in data_details.iterrows():
|
||
# 根据A列的值来决定复制的次数
|
||
if row["renew_date"] != "2024-02-29":
|
||
for i_new in range(1, row['年']):
|
||
# 修改日期
|
||
row_new = row.copy()
|
||
c = row_new["renew_date"]
|
||
date_obj = datetime.strptime(c, "%Y-%m-%d")
|
||
new_year = date_obj.year + i_new
|
||
new_date_obj = date_obj.replace(year=new_year)
|
||
new_c = new_date_obj.strftime("%Y-%m-%d")
|
||
row_new["renew_date"] = new_c
|
||
# 将当前行添加到新的DataFrame中
|
||
# new_df = new_df.append(row_new, ignore_index=True)
|
||
new_df = pd.concat([new_df, pd.DataFrame([row_new])], ignore_index=True)
|
||
# 合并两个DataFrame
|
||
merged_df = pd.concat([data_NGV, new_df], axis=0, ignore_index=True)
|
||
data_details = merged_df.copy() # 替换名称
|
||
|
||
data_details_not_null = data_details[data_details['renew_date'].notnull()]
|
||
# data_details_not_null = data_details_not_null[data_details_not_null['renew_date'].str.contains('2023')]
|
||
# data_details_not_null = data_details_not_null.sort_values(by='renew_date', ascending=True).drop_duplicates(
|
||
# subset='id_own_group') 重置索引
|
||
data_details_not_null = data_details_not_null.reset_index(drop=True)
|
||
data_details = data_details_not_null.copy() # 替换名称 v2
|
||
data_details['saas_create_time'] = data_details['saas_create_time'].str[:4] # 截取前10位
|
||
data_details['renew_date_new'] = data_details['renew_date'].str[:4] # 截取前10位
|
||
data_details = data_details[
|
||
data_details['saas_create_time'] != data_details['renew_date_new']] # 过滤掉等于renew_date的行
|
||
|
||
data_details = data_details.reset_index(drop=True)
|
||
|
||
logger.info(f"过滤后的数据长度为: {len(data_details)}")
|
||
# data_details.to_excel(r"C:\Users\admin\Downloads\4.xlsx")
|
||
import datetime
|
||
start_time = datetime.datetime.now()
|
||
|
||
date_90 = 83
|
||
date_120 = 113
|
||
date_180 = 173
|
||
# self.date_one = 1
|
||
now_time = start_time.replace()
|
||
|
||
if now_time.strftime("%Y-%m-%d") in self.date_list:
|
||
self.date_one = 0
|
||
print("开始次数：", self.date_one)
|
||
print("当前日期：", now_time)
|
||
|
||
logger.info(f"遍历次数：{self.date_one}")
|
||
|
||
now_time = start_time.replace()
|
||
for i in range(0, self.date_one):
|
||
logger.info(f"这是第{i}次遍历")
|
||
import datetime
|
||
now_time = datetime.datetime.now() + datetime.timedelta(days=-(i + 1))
|
||
|
||
today = now_time + datetime.timedelta(days=-date_90)
|
||
formatted_today_90 = today.strftime("%Y-%m-%d")
|
||
today = now_time + datetime.timedelta(days=-date_120)
|
||
formatted_today_120 = today.strftime("%Y-%m-%d")
|
||
today = now_time + datetime.timedelta(days=-date_180)
|
||
formatted_today_180 = today.strftime("%Y-%m-%d")
|
||
logger.info(f"90天为{formatted_today_90}，180天为{formatted_today_180}")
|
||
|
||
# 获取数据
|
||
data_details_90 = data_details.copy()
|
||
data_details_90['条件'] = (data_details_90['renew_date'] == formatted_today_90) & (data_details_90[
|
||
'group_grade'] != "普通客户（VIP）") # & (data_details_90['saas_edition_fmt'] != '基础版') & (data_details_90['saas_edition_fmt'] != '入门版')
|
||
data_details_90 = data_details_90.loc[data_details_90["条件"]]
|
||
data_details_120 = data_details.copy()
|
||
data_details_120['条件'] = (data_details_120['renew_date'] == formatted_today_120) & (
|
||
(data_details_120['saas_edition_fmt'] == '基础版') | (
|
||
data_details_120['saas_edition_fmt'] == '入门版'))
|
||
data_details_120 = data_details_120.loc[data_details_120["条件"]]
|
||
data_details_180 = data_details.copy()
|
||
data_details_180['条件'] = (data_details_180[
|
||
'renew_date'] == formatted_today_180) # & (data_details_180[
|
||
# 'saas_edition_fmt'] != '基础版') & (data_details_180['saas_edition_fmt'] != '入门版')
|
||
data_details_180 = data_details_180.loc[data_details_180["条件"]]
|
||
data_details_90["跟进阶段"] = "续约后90天回访"
|
||
data_details_90["主要目的"] = "关怀使用情况，促进更多功能使用，提升系统使用深度。"
|
||
data_details_120["跟进阶段"] = "续约后120天回访"
|
||
data_details_120["主要目的"] = "暂无"
|
||
data_details_180["跟进阶段"] = "续约后180天回访"
|
||
data_details_180["主要目的"] = "关怀使用情况，促进增购商机转化，识别潜在风险，及时提报。"
|
||
|
||
# 合并三个DataFrame
|
||
data_result = pd.concat([data_details_90, data_details_180],
|
||
ignore_index=True) # 去除续约120天回访 data_details_120
|
||
logger.info(f"派发数据长度：{len(data_result)}")
|
||
data_result = data_result.astype(str)
|
||
|
||
data_NGV = data_result.copy()
|
||
|
||
for index_num, row in data_NGV.iterrows(): # 对过滤后的每一条进行派发
|
||
try:
|
||
# print(row["org_code"]) # 数据验证
|
||
# print(row["service_impl_principal"])
|
||
# print(row["area_manager"])
|
||
# print(row["technician"])
|
||
# print("销售负责人是：", row["salesmen"])
|
||
|
||
payload_dict = {}
|
||
saas_use_year = re.findall(r'第([0-9]+)年', row["saas_use_year"])[0]
|
||
|
||
NGV_roles = {
|
||
'relationship_manager': row['service_impl_principal'], # 运营负责人
|
||
# 'relationship_manager': "张阳", # 运营负责人
|
||
'area_manager': row['area_manager'], # 区域经理
|
||
'technician': row['technician'], # 技术专家
|
||
'salesmen': row['salesmen'], # 销售负责人
|
||
}
|
||
|
||
for role, name in NGV_roles.items():
|
||
for row_item in self.staff_id_list:
|
||
staff_id = self.get_staff_id(row_item, name)
|
||
if staff_id:
|
||
NGV_roles[role] = staff_id
|
||
break # 找到后退出循环
|
||
else:
|
||
NGV_roles[role] = None # 如果没有找到对应的员工ID
|
||
# 回访人员： 需确认 四年以下 technician
|
||
|
||
if int(saas_use_year) < 4:
|
||
relationship_manager, area_manager, technician, salesmen = [NGV_roles[role] for role in
|
||
['relationship_manager',
|
||
'area_manager',
|
||
'technician', 'salesmen']]
|
||
# 如果未找到运营负责人，则根据省市区派发给日常回访客服
|
||
if not relationship_manager:
|
||
relationship_manager = self.assign_customer_service(
|
||
row['province_name'], row['city_name'], row['area_name'], self.index
|
||
)[0]
|
||
if not technician:
|
||
technician = self.assign_customer_service(
|
||
row['province_name'], row['city_name'], row['area_name'], self.index
|
||
)[2]
|
||
|
||
if row["group_grade"] == "普通客户（VIP）" or row["group_grade"] == "重要客户（SVIP）":
|
||
payload_dict.update({
|
||
"_widget_1734590278288": {"value": relationship_manager}, # 跟进人是运营负责人
|
||
})
|
||
else:
|
||
payload_dict.update({
|
||
"_widget_1734590278288": {"value": technician}, # 跟进人是技术专家
|
||
})
|
||
|
||
else:
|
||
logger.info(
|
||
f"超过4年的客户，派发给客服，省市区：{row['province_name']} {row['city_name']} {row['area_name']}")
|
||
salesmen = [NGV_roles[role] for role in ['salesmen']][0]
|
||
# 直接根据省市区派发给日常回访客服
|
||
relationship_manager, customer_service, technician, area_manager = self.assign_customer_service(
|
||
row['province_name'], row['city_name'], row['area_name'], self.index
|
||
)
|
||
logger.info(f"派发给 {relationship_manager} {customer_service} {technician} {area_manager}")
|
||
|
||
if row["group_grade"] == "普通客户（VIP）" or row["group_grade"] == "重要客户（SVIP）":
|
||
payload_dict.update({
|
||
"_widget_1734590278288": {"value": customer_service} # 跟进人是日常回访客服
|
||
})
|
||
else:
|
||
payload_dict.update({
|
||
"_widget_1734590278288": {"value": technician} # 跟进人是技术专家
|
||
})
|
||
|
||
payload_dict.update({
|
||
# "_widget_1734590278288": {"value": relationship_manager}, # 跟进人是运营负责人
|
||
"_widget_1734590278289": {"value": relationship_manager}, # 运营负责人
|
||
"_widget_1734590278290": {"value": area_manager}, # 区域经理
|
||
"_widget_1734590278291": {"value": technician}, # 技术专家
|
||
"_widget_1735290738545": {"value": salesmen} # 销售负责人
|
||
})
|
||
logger.info(f"请求输出：{payload_dict}")
|
||
|
||
if payload_dict.get("_widget_1734590278288") == "02414917880947": # 如果跟进人是殷浩
|
||
payload_dict.update({
|
||
"_widget_1734590278288": {"value": "051612246035720178"}, # 跟进人是赵柄诚
|
||
})
|
||
|
||
# 输出结果
|
||
logger.info(f"SaaS开户回访人员：{relationship_manager}")
|
||
logger.info(f"SaaS技术专家：{technician}")
|
||
logger.info(f"SaaS区域经理：{area_manager}")
|
||
|
||
# 判断权限唯一值
|
||
group_grade = re.sub(r'（[^）]*）', '', row['max_group_grade'])
|
||
|
||
if not row['saas_customer_type'] or row['saas_customer_type'] == 'NA' or row[
|
||
'saas_customer_type'] == 'None':
|
||
row['saas_customer_type'] = "F"
|
||
|
||
NGV_store_level_key = group_grade + row['max_saas_edition'] + row['max_saas_customer_type']
|
||
logger.info(f"权限唯一值： {NGV_store_level_key}")
|
||
|
||
Billing = None
|
||
for item in self.permissions_table:
|
||
if NGV_store_level_key == item.get("_widget_1734056507963"): # 合并（等级-类型-分层）
|
||
print("该门店开单的权限是：", item.get("_widget_1734055617039"))
|
||
Billing = item.get("_widget_1734055617039") # 开单
|
||
Service_Alerts = item.get("_widget_1734055617040") # 服务提醒
|
||
membership = item.get("_widget_1734055617041") # 会员卡
|
||
SMS = item.get("_widget_1734055617042") # 短信
|
||
Public_domain_applets = item.get("_widget_1734055617043") # 公域小程序
|
||
Private_domain_applets = item.get("_widget_1734055617044") # 私域小程序
|
||
Test_sheet = item.get("_widget_1734055617045") # 检测单
|
||
AI_poster = item.get("_widget_1734055617046") # AI海报
|
||
Business_wallets = item.get("_widget_1734055617047") # 企业钱包
|
||
Precision_marketing = item.get("_widget_1734055617049") # 精准营销
|
||
Paid_memberships = item.get("_widget_1734055617051") # 付费会员
|
||
business_WeCom = item.get("_widget_1734055617052") # 企业微信
|
||
Insurance_policy_identification = item.get("_widget_1734055617053") # 保险单识别
|
||
Insurance_bots = item.get("_widget_1734055617054") # 保险机器人
|
||
Camera_pick_up = item.get("_widget_1734055617055") # 摄像头接车
|
||
Camera_billing = item.get("_widget_1734055617056") # 摄像头开单
|
||
Transparent_workshop = item.get("_widget_1734055617057") # 透明车间
|
||
Cross_industry_cooperation = item.get("_widget_1734055617058") # 异业合作
|
||
BI_Insights = item.get("_widget_1734055617059") # BI洞察
|
||
payload_dict.update(
|
||
{
|
||
"_widget_1734073342350": {"value": Billing},
|
||
"_widget_1735004315757": {"value": Service_Alerts},
|
||
"_widget_1735004315756": {"value": membership},
|
||
"_widget_1735004315755": {"value": SMS},
|
||
"_widget_1735004315754": {"value": Public_domain_applets},
|
||
"_widget_1735004315753": {"value": Private_domain_applets},
|
||
"_widget_1735004315752": {"value": Test_sheet},
|
||
"_widget_1735004315751": {"value": AI_poster},
|
||
"_widget_1735004315750": {"value": Business_wallets},
|
||
"_widget_1735004315749": {"value": Precision_marketing},
|
||
"_widget_1735004315748": {"value": Paid_memberships},
|
||
"_widget_1735004315747": {"value": business_WeCom},
|
||
"_widget_1735004315746": {"value": Insurance_policy_identification},
|
||
"_widget_1735004315745": {"value": Insurance_bots},
|
||
"_widget_1735004315744": {"value": Camera_pick_up},
|
||
"_widget_1735004315743": {"value": Camera_billing},
|
||
"_widget_1735004315742": {"value": Transparent_workshop},
|
||
"_widget_1735004315741": {"value": Cross_industry_cooperation},
|
||
"_widget_1734073342352": {"value": BI_Insights},
|
||
|
||
}
|
||
)
|
||
|
||
feature_dict = {
|
||
"开单": "_widget_1734073342350",
|
||
"服务提醒": "_widget_1735004315757",
|
||
"会员卡": "_widget_1735004315756",
|
||
"短信": "_widget_1735004315755",
|
||
"公域小程序": "_widget_1735004315754",
|
||
"私域小程序": "_widget_1735004315753",
|
||
"检测单": "_widget_1735004315752",
|
||
"AI海报": "_widget_1735004315751",
|
||
"企业钱包": "_widget_1735004315750",
|
||
"精准营销": "_widget_1735004315749",
|
||
"付费会员": "_widget_1735004315748",
|
||
"企业微信": "_widget_1735004315747",
|
||
"保险单识别": "_widget_1735004315746",
|
||
"保险机器人": "_widget_1735004315745",
|
||
"摄像头接车": "_widget_1735004315744",
|
||
"摄像头开单": "_widget_1735004315743",
|
||
"透明车间": "_widget_1735004315742",
|
||
"异业合作": "_widget_1735004315741",
|
||
"BI洞察": "_widget_1734073342352",
|
||
|
||
}
|
||
# _widget_1735527329557 下次是否推荐
|
||
for new_item in self.get_feature_usage:
|
||
for feature_module, feature_value in feature_dict.items(): # 模块
|
||
if new_item.get("_widget_1735268263079") == feature_module and new_item.get(
|
||
"_widget_1735527329557") == "否" and new_item.get(
|
||
"_widget_1735280720550") == \
|
||
row["id_own_org"]: # 下次是否推荐 功能使用情况表
|
||
logger.info(f"{feature_value}进行了更改")
|
||
|
||
payload_dict.update({f"{feature_value}": {"value": "×"}})
|
||
|
||
if new_item.get("_widget_1735268263079") == feature_module and new_item.get(
|
||
"_widget_1736414617462") == "否" and new_item.get(
|
||
"_widget_1735280720550") == \
|
||
row["id_own_org"]: # 下次是否跟进
|
||
logger.info(f"{feature_value}进行了更改")
|
||
|
||
payload_dict.update({f"{feature_value}": {"value": "×"}})
|
||
|
||
fields_to_check = {
|
||
"_widget_1735004315763": Billing, # 开单
|
||
"_widget_1735106258016": Service_Alerts, # 服务提醒
|
||
"_widget_1735106258036": membership, # 会员卡
|
||
"_widget_1735106258086": SMS, # 短信
|
||
"_widget_1735106258112": Public_domain_applets, # 公域小程序
|
||
"_widget_1735106258141": Private_domain_applets, # 私域小程序
|
||
"_widget_1735107354648": Test_sheet, # 检测单
|
||
"_widget_1735107354725": AI_poster, # AI海报
|
||
"_widget_1735107354811": Business_wallets, # 企业钱包
|
||
"_widget_1735107354906": Precision_marketing, # 精准营销
|
||
"_widget_1735107354980": Paid_memberships, # 付费会员
|
||
"_widget_1735107355093": business_WeCom, # 企业微信
|
||
"_widget_1735107355143": Insurance_policy_identification, # 保险单识别
|
||
"_widget_1735107355235": Insurance_bots, # 保险机器人
|
||
"_widget_1735107355333": Camera_pick_up, # 摄像头接车
|
||
"_widget_1735107355392": Camera_billing, # 摄像头开单
|
||
"_widget_1735107355502": Transparent_workshop, # 透明车间
|
||
"_widget_1735107355618": Cross_industry_cooperation, # 异业合作
|
||
"_widget_1735107355740": BI_Insights # BI洞察
|
||
}
|
||
|
||
# 遍历每个字段，检查其值并更新payload_dict
|
||
for widget_id, field_name in fields_to_check.items():
|
||
if field_name == "√":
|
||
payload_dict.update({widget_id: {"value": "是"}})
|
||
|
||
break
|
||
|
||
is_continue = False
|
||
# 如果门店倒闭则不派发
|
||
for store in self.NGV_data_list:
|
||
if row["id_own_org"] == store.get("_widget_1734062123069") and store.get(
|
||
"_widget_1752027386523") == "门店倒闭":
|
||
is_continue = True
|
||
logger.info(f"{row["id_own_org"]}门店已关闭，不派发")
|
||
|
||
break
|
||
if is_continue:
|
||
continue
|
||
|
||
if not Billing:
|
||
logger.warning(f"权限表请求失败或者权限表无对应关系,权限唯一值是：{NGV_store_level_key}")
|
||
|
||
if row["active_status_fmt"] == "活跃": # 开单 是否使用
|
||
payload_dict.update({"_widget_1735004315765": {"value": "是"}})
|
||
else:
|
||
payload_dict.update({"_widget_1735004315765": {"value": "否"}})
|
||
|
||
try:
|
||
if row["saas_edition_fmt"] not in ["基础版", "入门版"]: # 会员卡 是否拥有
|
||
payload_dict.update({"_widget_1735106258036": {"value": "是"}})
|
||
else:
|
||
payload_dict.update({"_widget_1735106258036": {"value": "否"}})
|
||
except Exception as e:
|
||
error_task_logger.error(f"会员卡拥有识别：Error finding customer service: {e}")
|
||
common_module.send_task_error(task_start_time, "手动添加日常回访-会员卡拥有识别", str(e))
|
||
|
||
try:
|
||
if row["card_bill_day_count_last_30_day"] != "0": # 会员卡 是否使用
|
||
payload_dict.update({"_widget_1735106258038": {"value": "是"}})
|
||
else:
|
||
payload_dict.update({"_widget_1735106258038": {"value": "否"}})
|
||
except Exception as e:
|
||
error_task_logger.error(f"会员卡使用识别：Error finding customer service: {e}")
|
||
common_module.send_task_error(task_start_time, "手动添加日常回访-会员卡使用识别", str(e))
|
||
|
||
# print(self.service_remind.get("_widget_1735112637045"))
|
||
payload_dict["_widget_1735106258018"] = {"value": "否"}
|
||
|
||
for item in self.service_remind:
|
||
if row["id_own_group"] == item.get("_widget_1735112637043"):
|
||
if int(item.get("_widget_1735112637045")) < 180 and int(
|
||
item.get("_widget_1735112637046")) == 1: # 服务提醒 是否使用
|
||
payload_dict.update({"_widget_1735106258018": {"value": "是"}})
|
||
break
|
||
elif int(item.get("_widget_1735112637048")) > 0:
|
||
payload_dict.update({"_widget_1735106258018": {"value": "是"}})
|
||
break
|
||
|
||
keys_to_check = [
|
||
"_widget_1735113110155"
|
||
] # 智能检测 是否使用
|
||
|
||
# 初始化默认值为"否"
|
||
payload_dict["_widget_1735107354650"] = {"value": "否"}
|
||
|
||
# 检查每个键，如果有一个大于0，则更新为"是"并停止检查
|
||
for key in keys_to_check:
|
||
for item in self.Smart_detection:
|
||
if row["id_own_org"] == item.get("_widget_1735113110147"):
|
||
if int(item.get(key, 0)) > 0: # 使用get方法并提供默认值0防止键不存在的情况
|
||
payload_dict["_widget_1735107354650"]["value"] = "是"
|
||
break
|
||
|
||
# 近30天业务单量=0 则其它所有模块均不推荐
|
||
try:
|
||
for feature_module, feature_value in feature_dict.items(): # 模块
|
||
if row["bill_count_last_30_day"] == '0' and payload_dict[feature_value]["value"] == '△':
|
||
payload_dict.update({f"{feature_value}": {"value": "×"}})
|
||
except Exception as e:
|
||
error_task_logger.error(f"不开单识别：Error finding customer service: {e}")
|
||
common_module.send_task_error(task_start_time, "手动添加日常回访-不开单识别", str(e))
|
||
|
||
# 保单识别：从系统中抽取目标门店，针对门店抽取修改是否推荐
|
||
try:
|
||
if row["org_code"] in self.widget_list:
|
||
payload_dict.update({'_widget_1735004315746': {"value": "△"}})
|
||
except Exception as e:
|
||
error_task_logger.error(f"保单识别：Error finding customer service: {e}")
|
||
common_module.send_task_error(task_start_time, "手动添加日常回访-保单识别", str(e))
|
||
|
||
# 私域小程序：根据是否开通微信小程序判断是否使用，旗舰版及以上算拥有
|
||
try:
|
||
for item in self.private_domain:
|
||
if row["id_own_group"] == item.get("_widget_1742795002375"): # 公司id
|
||
if int(item.get("_widget_1742795002379")) > 0: # 上架商品数
|
||
payload_dict.update({"_widget_1735106258143": {"value": "是"}}) # DX:是否拥有
|
||
break
|
||
else:
|
||
payload_dict.update({"_widget_1735106258143": {"value": "否"}}) # DX:是否拥有
|
||
break
|
||
except Exception as e:
|
||
error_task_logger.error(f"小程序识别：Error finding customer service: {e}")
|
||
common_module.send_task_error(task_start_time, "手动添加日常回访-小程序识别", str(e))
|
||
|
||
try:
|
||
high_version = ['皇冠版', '至尊版', '尊享版', '旗舰版']
|
||
if row["saas_edition_fmt"] in high_version:
|
||
payload_dict.update({'_widget_1735106258141': {"value": "是"}}) # SYXCX:是否拥有
|
||
else:
|
||
payload_dict.update({'_widget_1735106258141': {"value": "否"}}) # SYXCX:是否拥有
|
||
except Exception as e:
|
||
error_task_logger.error(f"私域小程序:Error finding customer service: {e}")
|
||
common_module.send_task_error(task_start_time, "手动添加日常回访-私域小程序", str(e))
|
||
|
||
# 公域小程序：根据是否开通微信小程序判断是否使用，旗舰版及以上算拥有
|
||
try:
|
||
for item in self.public_domain:
|
||
if row["id_own_org"] == item.get("_widget_1742784257506"): # 门店id
|
||
if int(item.get("_widget_1742784257509")) == 1: # 发布商品数量
|
||
payload_dict.update({"_widget_1735106258114": {"value": "是"}}) # GYXCX:是否使用
|
||
break
|
||
else:
|
||
payload_dict.update({"_widget_1735106258114": {"value": "否"}}) # GYXCX:是否使用
|
||
break
|
||
except Exception as e:
|
||
error_task_logger.error(f"公域小程序：Error finding customer service: {e}")
|
||
common_module.send_task_error(task_start_time, "手动添加日常回访-公域小程序", str(e))
|
||
|
||
try:
|
||
if row["id_own_org"] in self.public_domain_list:
|
||
payload_dict.update({'_widget_1735106258112': {"value": "是"}}) # GYXCX:是否拥有
|
||
else:
|
||
payload_dict.update({'_widget_1735106258112': {"value": "否"}}) # GYXCX:是否拥有
|
||
except Exception as e:
|
||
error_task_logger.error(f"公域小程序：Error finding customer service: {e}")
|
||
common_module.send_task_error(task_start_time, "手动添加日常回访-公域小程序", str(e))
|
||
|
||
# 异业合作：根据是否存在判断是否拥有，过滤条件 商品名称包含异业两个字
|
||
try:
|
||
if row["id_own_org"] in self.different_industries_list:
|
||
payload_dict.update({'_widget_1735107355618': {"value": "是"}}) # YYHZ:是否拥有
|
||
else:
|
||
payload_dict.update({'_widget_1735107355618': {"value": "否"}}) # YYHZ:是否拥有
|
||
except Exception as e:
|
||
error_task_logger.error(f"异业合作：Error finding customer service: {e}")
|
||
common_module.send_task_error(task_start_time, "手动添加日常回访-异业合作", str(e))
|
||
|
||
# 短信：根据是否启动短信功能判断是否拥有,根据
|
||
try:
|
||
for item in self.groupnotification:
|
||
if row["id_own_group"] == item.get("_widget_1743065201885"): # 公司id
|
||
if int(item.get("_widget_1743065201886")) == 1: # 是否启动短信功能
|
||
payload_dict.update({"_widget_1735106258086": {"value": "是"}}) # DX:是否拥有
|
||
break
|
||
else:
|
||
payload_dict.update({"_widget_1735106258086": {"value": "否"}}) # DX:是否拥有
|
||
break
|
||
except Exception as e:
|
||
error_task_logger.error(f"短信是否使用：Error finding customer service: {e}")
|
||
common_module.send_task_error(task_start_time, "手动添加日常回访-短信是否使用", str(e))
|
||
|
||
try:
|
||
for item in self.groupnotification:
|
||
if row["id_own_group"] == item.get("_widget_1743065201885"): # 公司id
|
||
if int(item.get("_widget_1743065201889")) > 0: # 累计发送成功总人数
|
||
payload_dict.update({"_widget_1735106258088": {"value": "是"}}) # DX:是否使用
|
||
break
|
||
else:
|
||
payload_dict.update({"_widget_1735106258088": {"value": "否"}}) # DX:是否使用
|
||
break
|
||
except Exception as e:
|
||
error_task_logger.error(f"短信是否使用：Error finding customer service: {e}")
|
||
common_module.send_task_error(task_start_time, "手动添加日常回访-短信是否使用", str(e))
|
||
|
||
NGV_data_id = None
|
||
# 获取关联数据
|
||
for NGV_Data in self.NGV_data_list:
|
||
# NGV_Data = NGV_Data.get("data")
|
||
if row["org_code"] == NGV_Data.get("_widget_1734062123071"): # 门店编码
|
||
NGV_data_id = NGV_Data.get("_id")
|
||
logger.info(f"关联数据数据id:{NGV_data_id}")
|
||
try:
|
||
png_url = NGV_Data.get('_widget_1742890765211', {})[0].get('url', "")
|
||
except:
|
||
png_url = ""
|
||
logger.info(f"关联数据图片:{png_url}")
|
||
if not NGV_data_id:
|
||
logger.warning("未找到数据ID")
|
||
|
||
distribution_date = datetime.datetime.now(datetime.timezone.utc)
|
||
distribution_date = distribution_date.strftime('%Y-%m-%dT%H:%M:%S.%f')[:-3] + 'Z'
|
||
|
||
upload_key = None
|
||
UUid = time.strftime("%Y%m%d%H%M%S", time.localtime())
|
||
if png_url:
|
||
save_dir = "sampleCloud" # 设置输出目录
|
||
|
||
# 创建输出目录（如果不存在）
|
||
import os
|
||
|
||
os.makedirs(save_dir, exist_ok=True)
|
||
|
||
save_path = fr'{save_dir}\png\{time.strftime("%Y%m%d%H%M%S", time.localtime())}.png'
|
||
|
||
RenewServicesRevisit.download_url_content(png_url, save_path)
|
||
logger.info(f"已保存图片到 {save_path}。")
|
||
|
||
up_data = api_instance.get_upload_token(
|
||
{"api_key": "675b900991ad2491c69389ca", "entry_id": "675b9c63925cd404038a6b86",
|
||
"transaction_id": UUid})
|
||
upload_url = up_data.get("upload_url")
|
||
upload_token = up_data.get("upload_token")
|
||
|
||
upload_result = api_instance.upload_file(
|
||
{"upload_url": upload_url, "upload_token": upload_token, "file_path": save_path})
|
||
upload_key = upload_result.get("key")
|
||
logger.info("已上传文件")
|
||
|
||
payload_dict.update({
|
||
"_widget_1734590278279": {"value": row["group_name"]}, # 公司名称
|
||
"_widget_1735112931760": {"value": row["id_own_group"]}, # 公司id
|
||
"_widget_1735112931761": {"value": row["id_own_org"]}, # 门店id
|
||
"_widget_1734590278281": {"value": row['org_name']}, # 门店名称
|
||
"_widget_1734590278292": {"value": row["跟进阶段"]}, # 跟进阶段
|
||
"_widget_1734321349021": {"value": NGV_data_id}, # 关data_get联数据
|
||
"_widget_1742548684369": {"value": row['主要目的']}, # 主要目的
|
||
"_widget_1734590278266": {"value": row['region_name']}, # 大区
|
||
"_widget_1734590278285": {"value": row['branch_name']}, # 小区
|
||
"_widget_1734590278284": {"value": row['province_name']}, # 省
|
||
"_widget_1734590278283": {"value": row['city_name']}, # 市
|
||
"_widget_1734590278282": {"value": row['area_name']}, # 区
|
||
"_widget_1734590278278": {"value": row['saas_customer_type']}, # 门店分层
|
||
"_widget_1734590278277": {"value": row['group_grade']}, # 公司等级
|
||
"_widget_1734590278276": {"value": row['limit_user_type']}, # 限制账户类型
|
||
"_widget_1734590278275": {"value": row['active_user_type']}, # 有效账户类型
|
||
"_widget_1734590278274": {"value": row['saas_version']}, # ERP操作模式
|
||
"_widget_1734590278273": {"value": row['saas_use_year']}, # 使用时长
|
||
"_widget_1734590278272": {"value": row['org_stage']}, # 门店阶段
|
||
"_widget_1734590278271": {"value": row['manage_model']}, # 经营模式
|
||
"_widget_1734590278267": {"value": row['contacts']}, # 联系人
|
||
"_widget_1734590278287": {"value": row['contact_mobile']}, # 联系手机号
|
||
"_widget_1734590278286": {"value": row['saas_edition_fmt']}, # SaaS版本
|
||
"_widget_1734590278280": {"value": row['org_code']}, # 门店编码
|
||
# "_widget_1735287791875": {"value": row['salesmen']}, # 销售负责人
|
||
"_widget_1735096489244": {"value": distribution_date}, # 派发时间
|
||
"_widget_1742895342914": {"value": row['business_scope_fmt']}, # 经营范围
|
||
"_widget_1742895342915": {"value": row['station_number']}, # 工位数
|
||
"_widget_1742895342916": {"value": [upload_key]} # 门头照片
|
||
})
|
||
|
||
routine_follow_up_payload = {
|
||
"api_key": "675b900991ad2491c69389ca",
|
||
"entry_id": "675b9c63925cd404038a6b86",
|
||
"is_start_workflow": "true",
|
||
"data": payload_dict,
|
||
"transaction_id": UUid
|
||
}
|
||
|
||
res = api_instance.data_batch_create(routine_follow_up_payload)
|
||
logger.info(f"创建结果：{res}")
|
||
time.sleep(1)
|
||
|
||
# print(res)
|
||
except:
|
||
pass
|
||
common_module.send_task_status(task_start_time, "续约客户回访")
|
||
logger.info("续约客户回访任务完成")
|
||
except Exception as e:
|
||
common_module.send_task_error(task_start_time, "续约客户回访", str(e))
|
||
error_task_logger.error(f"续约客户回访任务执行时发生异常: {e}")
|
||
|
||
|
||
if __name__ == '__main__':
|
||
start = RenewServicesRevisit()
|
||
start.main()
|