saas1.6
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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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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 NewExceptionTask:
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"""
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SaaS异常回访
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"""
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def __init__(self):
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self.get_feature_usage = None
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self.saas_create_time = None
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self.index = None
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self.date_one = None
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self.data_yichang_S = 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.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.json_list = []
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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 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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jdy_date = datetime.datetime.now().strftime("%Y-%m-%d")
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jdy_start_time = datetime.datetime.now().strftime("%Y-%m-%d ")
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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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@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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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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self.json_list = json_dict.get("data")
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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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@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_1734677164870' not in json_item: # 异常回访客服
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raise KeyError("缺少 '异常回访客服' 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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print('index', index)
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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: 未找到对应的异常回访客服"
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return index[key]
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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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"""根据省市区派发给异常回访客服"""
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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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customer_service = customer_service_info.get('_widget_1734677164870', {}).get('username') # 异常回访客服
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return customer_service
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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 main(self):
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task_start_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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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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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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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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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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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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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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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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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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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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"_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_1748241895832": {"value": row['contact_mobile']}, # 联系方式
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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": {"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_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_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_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_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_1748241895847": {"value": row['region_name']}, # 大区
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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_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_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_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_1748512176655": {"value": "未处理"}, # 跟进状态
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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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if __name__ == '__main__':
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start = NewExceptionTask()
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start.main()
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