333 lines
14 KiB
Python
333 lines
14 KiB
Python
import datetime
|
|
import os
|
|
import time
|
|
|
|
import requests
|
|
|
|
from api import API
|
|
import re
|
|
from back_ground_module import CommonModule
|
|
import pandas as pd
|
|
from log_config import configure_task_logger, configure_error_task_logger
|
|
|
|
api_instance = API()
|
|
common_module = CommonModule()
|
|
# start_time = datetime.datetime.now()
|
|
|
|
# 获取已经配置好的常规日志记录器
|
|
logger = configure_task_logger()
|
|
|
|
# 获取已经配置好的错误任务日志记录器
|
|
error_task_logger = configure_error_task_logger()
|
|
|
|
|
|
class NewExceptionTask:
|
|
"""
|
|
SaaS异常回访
|
|
"""
|
|
|
|
def __init__(self):
|
|
self.get_feature_usage = None
|
|
self.saas_create_time = None
|
|
self.index = None
|
|
self.date_one = None
|
|
self.data_yichang_S = None
|
|
self.date_list = None
|
|
self.Smart_detection = None
|
|
self.service_remind = None
|
|
self.NGV_data_list = None
|
|
self.permissions_table = None
|
|
self.staff_id_list = None
|
|
self.json_list = []
|
|
self.policy_recognition = None
|
|
self.widget_list = None
|
|
self.private_domain = None
|
|
self.public_domain = None
|
|
self.public_domain_list = None
|
|
self.different_industries = None
|
|
self.different_industries_list = None
|
|
self.groupnotification = None
|
|
|
|
def calculate_date_one(self, start_offset=0):
|
|
"""
|
|
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。
|
|
|
|
参数:
|
|
- 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。
|
|
|
|
返回:
|
|
- date_one: 遍历到date_list中日期的次数。
|
|
"""
|
|
jdy_date = datetime.datetime.now().strftime("%Y-%m-%d")
|
|
jdy_start_time = datetime.datetime.now().strftime("%Y-%m-%d ")
|
|
# 设置起始日期
|
|
now_time = datetime.datetime.now() + datetime.timedelta(days=start_offset)
|
|
|
|
# 初始化计数器
|
|
date_one = 1
|
|
print("当前日期：", now_time.strftime("%Y-%m-%d"))
|
|
# 检查起始日期是否在date_list中
|
|
if now_time.strftime("%Y-%m-%d") in self.date_list:
|
|
date_one = 0
|
|
print("开始次数：", date_one)
|
|
|
|
else:
|
|
# 遍历日期
|
|
for i in range(1, 10):
|
|
new_date = now_time + datetime.timedelta(days=-i)
|
|
new_date_str = new_date.strftime("%Y-%m-%d")
|
|
print("遍历日期：", new_date_str)
|
|
if new_date_str in self.date_list:
|
|
date_one += 1
|
|
print("节假日期：", new_date_str)
|
|
else:
|
|
break
|
|
|
|
print("遍历次数：", date_one)
|
|
return date_one
|
|
|
|
@staticmethod
|
|
def download_url_content(url, save_path):
|
|
"""
|
|
下载指定 URL 的内容并保存到本地文件。
|
|
|
|
:param url: 要下载内容的 URL
|
|
:param save_path: 保存文件的路径
|
|
"""
|
|
try:
|
|
# 发送 GET 请求以获取内容
|
|
response = requests.get(url, stream=True)
|
|
response.raise_for_status() # 如果响应状态码不是 200，抛出异常
|
|
|
|
# 确保保存目录存在
|
|
os.makedirs(os.path.dirname(save_path), exist_ok=True)
|
|
|
|
# 将内容写入文件
|
|
with open(save_path, 'wb') as file:
|
|
for chunk in response.iter_content(chunk_size=8192): # 分块写入，避免占用过多内存
|
|
if chunk: # 过滤掉空块
|
|
file.write(chunk)
|
|
|
|
print(f"文件已成功保存到 {save_path}")
|
|
|
|
except requests.exceptions.RequestException as e:
|
|
print(f"下载失败: {e}")
|
|
except Exception as e:
|
|
print(f"发生错误: {e}")
|
|
|
|
def load_all_data(self):
|
|
"""加载所有必要的数据表"""
|
|
# 省市区人员关系表
|
|
payload = {"api_key": "675b900991ad2491c69389ca", "entry_id": "676512ac3e54dc3159460c0a"}
|
|
json_dict = api_instance.entry_data_list(payload)
|
|
self.json_list = json_dict.get("data")
|
|
|
|
# 获取简道云员工id
|
|
payload = {"api_key": "6694d3c4fcb69ca9a111a6c4",
|
|
"entry_id": "6769204a1902c9341340a1bc",
|
|
}
|
|
staff_id = api_instance.entry_data_list(payload)
|
|
self.staff_id_list = staff_id.get("data") # api请求格式，将数据封装在data字典里
|
|
|
|
# 获取NGV数据
|
|
payload = {"api_key": "675b900991ad2491c69389ca", "entry_id": "675bb02bd2d53c2034c665e4"}
|
|
self.NGV_data_list = api_instance.entry_data_list(payload).get("data", [])
|
|
# print("NGV获取后的类型：", type(self.NGV_data_list))
|
|
|
|
@staticmethod
|
|
def build_index(json_list):
|
|
index = {}
|
|
for json_item in json_list:
|
|
try:
|
|
key = (json_item['_widget_1734677164861'], json_item['_widget_1734677164862'],
|
|
json_item['_widget_1734677164863']) # 省市区
|
|
if '_widget_1734677164870' not in json_item: # 异常回访客服
|
|
raise KeyError("缺少 '异常回访客服' 键")
|
|
index[key] = json_item
|
|
except KeyError as e:
|
|
print(f"警告：{e}，跳过该条记录: {json_item}")
|
|
continue
|
|
print('index', index)
|
|
return index
|
|
|
|
@staticmethod
|
|
def find_customer_service(province_name, city_name, area_name, index):
|
|
key = (province_name, city_name, area_name)
|
|
# print(index)
|
|
if key not in index:
|
|
return "数据缺失: 未找到对应的异常回访客服"
|
|
|
|
return index[key]
|
|
|
|
@staticmethod
|
|
def get_staff_id(row_item, name):
|
|
"""辅助函数，用于获取员工ID"""
|
|
if str(row_item["_widget_1734942794144"]) == str(name): # 检查姓名是否匹配
|
|
return row_item["_widget_1734942794145"] # 返回员工ID
|
|
return None
|
|
|
|
def assign_customer_service(self, province_name, city_name, area_name, index):
|
|
"""根据省市区派发给异常回访客服"""
|
|
# try:
|
|
customer_service_info = self.find_customer_service(province_name, city_name, area_name, index)
|
|
customer_service = customer_service_info.get('_widget_1734677164870', {}).get('username') # 异常回访客服
|
|
return customer_service
|
|
# except Exception as e:
|
|
# print(f"Error finding customer service: {e}")
|
|
# return "分配失败，请检查", "分配失败，请检查", "分配失败，请检查"
|
|
|
|
def main(self):
|
|
|
|
task_start_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
|
|
|
|
global png_url, key, upload_key
|
|
self.load_all_data()
|
|
|
|
self.data_yichang_S = common_module.get_yichang_details(days_back=1).astype(str) # 获取data_NGV 并转为str
|
|
self.index = self.build_index(self.json_list)
|
|
|
|
print("开始运行main")
|
|
print(self.date_one)
|
|
|
|
data_yichang = self.data_yichang_S.copy()
|
|
|
|
def replace_values(series):
|
|
# 使用条件判断来进行替换
|
|
return series.apply(lambda x: '' if pd.isna(x) or x in ['NA', 'None', ''] else x)
|
|
|
|
# 对整个DataFrame的所有列应用替换函数
|
|
data_yichang = data_yichang.apply(replace_values)
|
|
|
|
print(data_yichang.iterrows())
|
|
for index_num, row in data_yichang.iterrows(): # 对过滤后的每一条进行派发
|
|
try:
|
|
print("1111")
|
|
payload_dict = {}
|
|
|
|
distribution_date = datetime.datetime.now(datetime.timezone.utc)
|
|
distribution_date = distribution_date.strftime('%Y-%m-%dT%H:%M:%S.%f')[:-3] + 'Z'
|
|
|
|
date_obj1 = datetime.datetime.strptime(row["init_day"], "%Y%m%d").strftime("%Y-%m-%d")
|
|
date_obj2 = datetime.datetime.strptime(row["push_day"], "%Y%m%d").strftime("%Y-%m-%d")
|
|
|
|
NGV_roles = {
|
|
'service_impl_principal': row['service_impl_principal'], # 运营负责人
|
|
'area_manager': row['area_manager'], # 区域经理
|
|
'technician': row['technician'], # 运营专家
|
|
}
|
|
print('NGV_roles', NGV_roles)
|
|
for role, name in NGV_roles.items(): # 寻找对应的员工ID
|
|
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
|
|
print('NGV_roles[role]', NGV_roles)
|
|
relationship_manager, area_manager, technician = [NGV_roles[role] for role in
|
|
['service_impl_principal',
|
|
'area_manager',
|
|
'technician']]
|
|
|
|
UUid = time.strftime("%Y%m%d%H%M%S", time.localtime())
|
|
|
|
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")
|
|
province_name = NGV_Data.get("_widget_1734062123090")
|
|
city_name = NGV_Data.get("_widget_1734062123092")
|
|
area_name = NGV_Data.get("_widget_1734062123094")
|
|
print('111111', NGV_data_id, province_name, city_name, area_name)
|
|
|
|
if not NGV_data_id:
|
|
print("未找到数据ID")
|
|
|
|
# 根据省市区派发给异常回访客服
|
|
print('333', province_name, city_name, area_name)
|
|
customer_service = self.assign_customer_service(province_name, city_name, area_name, self.index)
|
|
|
|
payload_dict.update({
|
|
"_widget_1748241895829": {"value": row["health_warning_info"]}, # 活跃健康状态变化
|
|
|
|
"_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_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
|
|
}
|
|
|
|
# print(routine_follow_up_payload)
|
|
|
|
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")
|
|
|
|
|
|
if __name__ == '__main__':
|
|
start = NewExceptionTask()
|
|
start.main()
|