异常回访、续约回访增加默认值
新签、续约回访增加权限唯一值不存在报错
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@@ -19,6 +19,7 @@ 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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@@ -175,7 +176,9 @@ class NewExceptionTask:
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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(添加过滤进行中的订单)
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payload = {"api_key": "675b900991ad2491c69389ca", "entry_id": "68340de79f116c0b66b6b0cc","filter":{"rel":"and","cond":[{ "field": "flowState", "type":"flowstate", "method":"eq","value":[0] }]}}
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payload = {"api_key": "675b900991ad2491c69389ca", "entry_id": "68340de79f116c0b66b6b0cc",
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"filter": {"rel": "and",
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"cond": [{"field": "flowState", "type": "flowstate", "method": "eq", "value": [0]}]}}
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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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@@ -225,7 +228,7 @@ class NewExceptionTask:
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task_start_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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all_data =[]
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all_data = []
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try:
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self.load_all_data()
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@@ -240,6 +243,7 @@ class NewExceptionTask:
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return
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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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@@ -248,7 +252,7 @@ class NewExceptionTask:
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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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error_data= []
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error_data = []
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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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@@ -257,7 +261,7 @@ class NewExceptionTask:
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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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for exception_service in self.exception_service_todo:
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# 通过查询筛选进行中的逻辑
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if exception_service['_widget_1748241895842'] == row['org_code']:
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is_pass = True
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@@ -297,35 +301,36 @@ class NewExceptionTask:
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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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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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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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stop_date = 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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# 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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logger.info(
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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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@@ -333,8 +338,40 @@ class NewExceptionTask:
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create_exception = NGV_Data.get("_widget_1758769279995")
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# 获取上线日期（文本）# 202512.3改为开户日
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create_date = NGV_Data.get("_widget_1734062123081")
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# 获取暂停派发日期
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stop_date = NGV_Data.get("_widget_1772610343227", None)
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break # 找到匹配的数据后退出循环
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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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if stop_date:
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# 解析暂停派发日期
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parsed_stop_date = None
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for fmt in date_formats:
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try:
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parsed_stop_date = datetime.datetime.strptime(stop_date.strip(), fmt)
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logger.debug(f"使用格式 {fmt} 成功解析暂停派发日期: {parsed_stop_date}")
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break
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except ValueError:
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continue
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if parsed_stop_date:
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# 获取当前UTC时间
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current_utc_time = datetime.datetime.utcnow()
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logger.debug(f"当前UTC时间: {current_utc_time}")
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logger.debug(f"暂停派发日期: {parsed_stop_date}")
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# 比较时间
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if current_utc_time < parsed_stop_date:
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logger.info(f"当前UTC时间低于暂停派发日期，跳过派发")
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continue
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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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@@ -347,14 +384,6 @@ class NewExceptionTask:
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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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@@ -380,15 +409,14 @@ class NewExceptionTask:
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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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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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@@ -457,6 +485,8 @@ class NewExceptionTask:
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"_widget_1748512176655": {"value": "未处理"}, # 跟进状态
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"_widget_1772761760440":{"value": "客服跟进节点"}, # 当前跟进节点
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})
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routine_follow_up_payload = {
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@@ -478,7 +508,9 @@ class NewExceptionTask:
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if error_data:
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error_df = pd.DataFrame(error_data)
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error_df.to_csv(os.path.join(output_dir, "异常派发错误数据.csv"))
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common_module.send_task_error(task_start_time = task_start_time,task_name= "异常服务待办派发",error_message="详情见失败文件", df = error_df)
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common_module.send_task_error(task_start_time=task_start_time, task_name="异常服务待办派发",
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error_message="失败文件中省市区匹配不到，需要通过门店编码在客户资料表中查询正确的省市区，并更新到省市区人员关系表中",
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df=error_df)
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# ndf = pd.DataFrame(all_data)
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# ndf.to_csv(os.path.join(output_dir, "异常派发.csv"))
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common_module.send_task_status(task_start_time, "异常服务待办派发")
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