474 lines
22 KiB
Python
474 lines
22 KiB
Python
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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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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output_dir = "output" # 设置输出目录
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os.makedirs(output_dir, exist_ok=True)
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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.exception_service_todo = None
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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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self.fields_mapping = {
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"门店名称": "_widget_1748241895830",
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"联系人": "_widget_1748241895831",
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"开户时间": "_widget_1748241895839",
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"门店编码": "_widget_1748241895842",
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"联系方式": "_widget_1748241895832",
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"系统版本": "_widget_1748241895850",
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"公司名称": "_widget_1748241895844",
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"运营顾问": "_widget_1748246808679",
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"区域经理": "_widget_1748246808682",
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"公司等级": "_widget_1748241895846",
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"运营专家": "_widget_1748246808681",
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"操作模式E.L/E.S": "_widget_1748241895853",
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"活跃健康状态变化": "_widget_1748241895829",
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"初始日": "_widget_1748241895833",
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"推进日": "_widget_1748241895834",
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"异常跟进情况描述": "_widget_1748512176640",
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"异常变化原因": "_widget_1748512176641",
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"正常使用": "_widget_1748512176643",
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"门店原因": "_widget_1748512176645",
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"服务原因": "_widget_1748512176647",
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"产品原因": "_widget_1748512176649",
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"未正式切换": "_widget_1748512176651",
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"跟进状态": "_widget_1748512176655",
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"是否可激活": "_widget_1758615839701",
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"是否有续约风险": "_widget_1758615839703",
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"当前跟进人": "_widget_1748246808678",
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"激活策略": "_widget_1758615839717",
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"跟进时间": "_widget_1748512176654",
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"是否跟进完成": "_widget_1751273412737",
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"区域客服": "_widget_1748246808680",
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"大区": "_widget_1748241895847",
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"省": "_widget_1748241895848",
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"城市": "_widget_1748241895855",
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"门店类型": "_widget_1748241895849",
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"saas客户类型": "_widget_1748241895851",
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"门店阶段": "_widget_1748241895852",
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"提交人": "creator",
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"提交时间": "createTime",
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"更新时间": "updateTime"
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}
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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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# 获取异常服务待办
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payload = {"api_key": "675b900991ad2491c69389ca", "entry_id": "68340de79f116c0b66b6b0cc"}
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self.exception_service_todo = api_instance.entry_data_list(payload).get("data", [])
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print(self.exception_service_todo)
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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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try:
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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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logger.info("开始运行SaaS异常回访")
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data_yichang = self.data_yichang_S.copy()
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# data_yichang.to_csv(os.path.join(output_dir,"data_yichang.csv"), index=False)
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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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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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# 每次循环前清空省市区变量
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province_name = None
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city_name = None
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area_name = None
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is_pass = False
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for exception_service in self.exception_service_todo :
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if exception_service['_widget_1748241895842'] == row['org_code'] and exception_service['_widget_1748512176655'] in ['未处理', '处理中']:
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is_pass = True
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break
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if is_pass:
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logger.info(f"已存在待办，跳过该条记录: {row}")
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continue
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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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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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UUid = time.strftime("%Y%m%d%H%M%S", time.localtime())
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NGV_data_id = None
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reason = None
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create_exception =None
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create_date = None
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# 优先从 data_yichang_S 获取省市区信息
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province_name = row.get('province_name')
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city_name = row.get('city_name')
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area_name = row.get('area_name') if 'area_name' in row else row.get('district_name')
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# 检查省市区是否完整（省市区是一体的，任意一个缺失就需要从NGV获取）
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use_ngv_location = False
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if (not province_name or province_name in ['', 'None', 'NA'] or
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not city_name or city_name in ['', 'None', 'NA'] or
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not area_name or area_name in ['', 'None', 'NA']):
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use_ngv_location = True
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logger.info(f"门店 {row['org_code']} 的省市区信息不完整，将从NGV_data_list获取")
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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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# 如果需要从 NGV_data_list 获取省市区信息
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if use_ngv_location:
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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"【从NGV获取省市区】门店 {row['org_code']}: {province_name}, {city_name}, {area_name}")
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# 门店原因
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reason = NGV_Data.get("_widget_1758617393828")
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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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# 是否生成异常待办
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create_exception = NGV_Data.get("_widget_1758769279995")
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# 获取上线日期（文本）
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create_date = NGV_Data.get("_widget_1734062123176")
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break # 找到匹配的数据后退出循环
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# 判断门店原因
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# if reason in ["门店倒闭", "门店转让", "加盟其他连锁","切换竞品","虚拟门店","重新开户","已退款","二套系统"]:
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# continue
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# 判断是否继续生成异常待办
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if create_exception == "否":
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continue
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# 新增：检查 create_date_str 是否存在且有效
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if not create_date:
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logger.warning("上线日期为空，跳过该记录")
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continue
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# 定义可能的日期格式（灵活应对不同格式）
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date_formats = [
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"%Y-%m-%d %H:%M:%S", # 含时间
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"%Y-%m-%d", # 仅日期
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"%Y/%m/%d",
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"%Y/%m/%d %H:%M:%S"
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]
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parsed_date = None
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for fmt in date_formats:
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try:
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parsed_date = datetime.datetime.strptime(create_date.strip(), fmt).date()
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logger.debug(f"使用格式 {fmt} 成功解析日期: {parsed_date}")
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break
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except ValueError:
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continue
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if parsed_date is None:
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logger.error(f"无法解析上线日期: '{create_date}'，支持的格式: %Y-%m-%d, %Y-%m-%d %H:%M:%S 等")
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continue # 解析失败，跳过
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# 使用解析后的日期进行判断
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now_date = datetime.date.today()
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delta = now_date - parsed_date
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days_diff = delta.days
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if days_diff > 30:
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logger.info(f"上线日期 {parsed_date} 超过30天（{days_diff}天），生成待办")
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# ✅ 继续后续待办创建逻辑
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else:
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logger.info(f"上线日期 {parsed_date} 在30天内，跳过处理")
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continue
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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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# 根据省市区派发给异常回访客服
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# 检查省市区是否都有值，如果有任何一个为空，则客服为空
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if (not province_name or province_name in ['', 'None', 'NA'] or
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not city_name or city_name in ['', 'None', 'NA'] or
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not area_name or area_name in ['', 'None', 'NA']):
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customer_service = None
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logger.warning(f"【省市区信息缺失】门店 {row['org_code']} 省市区信息不完整，异常回访客服设置为空")
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logger.warning(f"省: {province_name}, 市: {city_name}, 区: {area_name}")
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else:
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customer_service = self.assign_customer_service(province_name, city_name, area_name, self.index)
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logger.info(f"【派发客服】门店 {row['org_code']} 派发给客服: {customer_service}")
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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
|
|
|
|
"_widget_1748241895831": {"value": row["contacts"]}, # 联系人
|
|
|
|
"_widget_1748241895832": {"value": row['contact_mobile']}, # 联系方式
|
|
|
|
"_widget_1748241895833": {
|
|
"value": int(time.mktime(time.strptime(date_obj1, "%Y-%m-%d")) * 1000) if row[
|
|
"init_day"] != '' else ''},
|
|
# 初始日
|
|
|
|
"_widget_1748241895834": {
|
|
"value": int(time.mktime(time.strptime(date_obj2, "%Y-%m-%d")) * 1000) if row[
|
|
"push_day"] != '' else ''},
|
|
# 推进日
|
|
|
|
"_widget_1748246808678": {"value": customer_service}, # 当前跟进人
|
|
# "_widget_1748246808678": {"value": "083726094935447433"}, # 当前跟进人
|
|
|
|
"_widget_1748246808679": {"value": relationship_manager}, # 运营负责人
|
|
|
|
"_widget_1748246808680": {"value": customer_service}, # 区域客服
|
|
|
|
"_widget_1748241895839": {
|
|
"value": int(time.mktime(time.strptime(row["saas_create_time"], "%Y-%m-%d")) * 1000) if row[
|
|
"saas_create_time"] != '' else ''},
|
|
# 开户时间
|
|
|
|
"_widget_1748246808681": {"value": technician}, # 技术专家
|
|
|
|
"_widget_1748246808682": {"value": area_manager}, # 区域经理
|
|
|
|
"_widget_1748241895842": {"value": row['org_code']}, # 门店编码
|
|
|
|
"_widget_1748241895844": {"value": row['group_name']}, # 公司名称
|
|
|
|
"_widget_1748241895846": {"value": row['group_grade']}, # 公司等级
|
|
|
|
"_widget_1748241895847": {"value": row['region_name']}, # 大区
|
|
|
|
"_widget_1748241895848": {"value": row['province_name']}, # 省
|
|
|
|
"_widget_1748241895849": {"value": row['org_type']}, # 门店类型
|
|
|
|
"_widget_1748241895850": {"value": row['saas_edition_fmt']}, # 系统版本
|
|
|
|
"_widget_1748241895851": {"value": row['saas_customer_type']}, # saas客户类型
|
|
|
|
"_widget_1748241895852": {"value": row['org_stage']}, # 门店阶段
|
|
|
|
"_widget_1748241895853": {"value": row['contact_mobile']}, # 操作模式E.L/E.S
|
|
|
|
"_widget_1748241895855": {"value": row['city_name']}, # 城市
|
|
|
|
"_widget_1748247754304": {"value": NGV_data_id}, # 数据id
|
|
|
|
"_widget_1748512176655": {"value": "未处理"}, # 跟进状态
|
|
|
|
})
|
|
|
|
routine_follow_up_payload = {
|
|
"api_key": "675b900991ad2491c69389ca",
|
|
"entry_id": "68340de79f116c0b66b6b0cc", # 异常服务跟进待办
|
|
"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}")
|
|
except:
|
|
pass
|
|
common_module.send_task_status(task_start_time, "异常服务待办派发")
|
|
except Exception as e:
|
|
error_task_logger.error(f"异常服务待办派发执行时发生异常: {e}")
|
|
common_module.send_task_error(task_start_time, "异常服务待办派发", str(e))
|
|
|
|
|
|
if __name__ == '__main__':
|
|
start = NewExceptionTask()
|
|
start.main()
|