saas1.6日志更新
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@@ -1,18 +1,27 @@
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from datetime import date, timedelta, datetime
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import holidays
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from datetime import timedelta, datetime
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from config import Config
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import pandas as pd
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import pymysql # 使用 pymysql 替代 mysql.connector
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from back_ground_module import CommonModule
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from log_config import configure_task_logger, configure_error_task_logger
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from api import API
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from log_config import configure_task_logger, configure_error_task_logger
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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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# 保存为CSV文件
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output_dir = "output" # 设置输出目录
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# 创建输出目录（如果不存在）
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import os
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os.makedirs(output_dir, exist_ok=True)
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common_module = CommonModule()
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api_instance = API()
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class JCBEfficientCarPickup:
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"""接车宝日常回访"""
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def __init__(self):
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# 使用 pymysql 连接数据库
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self.field_mapping = {}
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@@ -30,6 +39,7 @@ class JCBEfficientCarPickup:
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def today_customer_service_list(self):
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# 获取今日接车宝派发客服顺序
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global is_customer_service_data_id
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today_customer_service_list = []
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all_customer_service_list = []
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today_customer_service_start_list = []
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@@ -98,6 +108,7 @@ class JCBEfficientCarPickup:
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"data_list": new_sign_abnormal_data}
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result = api_instance.entry_data_batch_create(data)
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logger.info(f"数据发送成功:{result}")
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data1 = {"api_key": Config.EFFICIENT_CAR_PICKUP_APP_ID,
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"entry_id": Config.EFFICIENT_CAR_PICKUP_CUSTOMER_SERVICE_ID,
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@@ -119,108 +130,111 @@ class JCBEfficientCarPickup:
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{"_widget_1740042824216": {"value": "是"}, }}
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api_instance.entry_data_update(data1)
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api_instance.entry_data_update(data2)
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result2 = api_instance.entry_data_update(data2)
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logger.info(f"明日派发人员信息已修改:{result2}")
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def main(self):
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task_start_time =datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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task_start_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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try:
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logger.info(f"接车宝日常回访开始执行")
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data_JCB = common_module.get_jcb_details()
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logger.info(f"数据加载完成")
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data_JCB = common_module.get_jcb_details()
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print(data_JCB)
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# data_JCB.to_csv(os.path.join(output_dir, 'JCB_all_data.csv'), index=False)
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self.fields()
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# 保存为CSV文件
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output_dir = "output" # 设置输出目录
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# 新签异常待办回访。
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# 当前日期
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current_date = datetime.now()
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current_date = current_date + timedelta(days=0)
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current_date_str = current_date.strftime("%Y-%m-%d")
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# 创建输出目录（如果不存在）
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import os
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os.makedirs(output_dir, exist_ok=True)
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seven_days_ago = current_date - timedelta(days=7)
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seven_days_ago = seven_days_ago.date()
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# print(three_days_ago)
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new_sign_abnormal = []
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# data_JCB.to_csv(os.path.join(output_dir, 'JCB_all_data.csv'), index=False)
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self.fields()
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for index, row in data_JCB.iterrows():
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new_row = row.copy()
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# 先转成字符串，再解析回 date 对象
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new_row['开户日'] = datetime.strptime(str(row['开户日']), "%Y-%m-%d").date()
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if new_row['开户日'] == seven_days_ago and row['当月开单天数'] == 0:
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# print(row['账号'], row['开户日'], row['当月开单天数'])
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row["日期"] = datetime.strptime(str(row['开户日']), "%Y-%m-%d").date()
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row['日期'] = row["日期"].strftime("%Y-%m-%d")
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new_sign_abnormal.append(row)
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# 新签异常待办回访。
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# 当前日期
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current_date = datetime.now()
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current_date = current_date + timedelta(days=0)
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current_date_str = current_date.strftime("%Y-%m-%d")
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new_sign_abnormal = pd.DataFrame(new_sign_abnormal)
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new_sign_abnormal["表单类型"] = "新签异常待办"
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new_sign_abnormal["派发日期"] = current_date_str
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seven_days_ago = current_date - timedelta(days=7)
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seven_days_ago = seven_days_ago.date()
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# print(three_days_ago)
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new_sign_abnormal = []
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self.send_request(new_sign_abnormal) # 发送请求
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logger.info(f"新签异常待办回访完成")
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for index, row in data_JCB.iterrows():
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new_row = row.copy()
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# 先转成字符串，再解析回 date 对象
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new_row['开户日'] = datetime.strptime(str(row['开户日']), "%Y-%m-%d").date()
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if new_row['开户日'] == seven_days_ago and row['当月开单天数'] == 0:
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# print(row['账号'], row['开户日'], row['当月开单天数'])
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row["日期"] = datetime.strptime(str(row['开户日']), "%Y-%m-%d").date()
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row['日期'] = row["日期"].strftime("%Y-%m-%d")
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new_sign_abnormal.append(row)
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# 优质客户转商机
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# current_date = datetime.now()
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thirty_days_ago = current_date - timedelta(days=30)
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sixty_days_ago = current_date - timedelta(days=60)
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thirty_days_ago = thirty_days_ago.date()
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sixty_days_ago = sixty_days_ago.date()
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customer_to_opportunity = []
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for index, row in data_JCB.iterrows():
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new_row = row.copy()
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# 先转成字符串，再解析回 date 对象
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new_row['到期日'] = datetime.strptime(str(row['到期日']), "%Y-%m-%d").date()
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if new_row['到期日'] == thirty_days_ago and row['近一周开单量'] >= 3 and row[
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'G状态：近30天开单大于等于10天'] == 1:
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print(row['账号'], row['到期日'], row['当月开单天数'], row['当月G天数'])
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row["日期"] = datetime.strptime(str(row['开户日']), "%Y-%m-%d").date()
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row['日期'] = row["日期"].strftime("%Y-%m-%d")
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customer_to_opportunity.append(row)
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# 推送给客服
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pass
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if new_row['到期日'] == sixty_days_ago and row['近一周开单量'] >= 3 and row[
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'G状态：近30天开单大于等于10天'] == 1:
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print(row['账号'], row['到期日'], row['当月开单天数'], row['当月G天数'])
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row["日期"] = datetime.strptime(str(row['开户日']), "%Y-%m-%d").date()
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row['日期'] = row["日期"].strftime("%Y-%m-%d")
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customer_to_opportunity.append(row)
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# 推送给客服
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pass
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new_sign_abnormal = pd.DataFrame(new_sign_abnormal)
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new_sign_abnormal["表单类型"] = "新签异常待办"
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new_sign_abnormal["派发日期"] = current_date_str
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customer_to_opportunity = pd.DataFrame(customer_to_opportunity)
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customer_to_opportunity["表单类型"] = "续约优质客户转商机"
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customer_to_opportunity["派发日期"] = current_date_str
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self.send_request(new_sign_abnormal) # 发送请求
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self.send_request(customer_to_opportunity)
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logger.info(f"优质客户转商机完成")
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# 优质客户转商机
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# current_date = datetime.now()
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thirty_days_ago = current_date - timedelta(days=30)
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sixty_days_ago = current_date - timedelta(days=60)
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thirty_days_ago = thirty_days_ago.date()
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sixty_days_ago = sixty_days_ago.date()
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customer_to_opportunity = []
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for index, row in data_JCB.iterrows():
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new_row = row.copy()
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# 先转成字符串，再解析回 date 对象
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new_row['到期日'] = datetime.strptime(str(row['到期日']), "%Y-%m-%d").date()
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if new_row['到期日'] == thirty_days_ago and row['近一周开单量'] >= 3 and row[
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'G状态：近30天开单大于等于10天'] == 1:
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print(row['账号'], row['到期日'], row['当月开单天数'], row['当月G天数'])
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row["日期"] = datetime.strptime(str(row['开户日']), "%Y-%m-%d").date()
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row['日期'] = row["日期"].strftime("%Y-%m-%d")
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customer_to_opportunity.append(row)
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# 推送给客服
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pass
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if new_row['到期日'] == sixty_days_ago and row['近一周开单量'] >= 3 and row[
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'G状态：近30天开单大于等于10天'] == 1:
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print(row['账号'], row['到期日'], row['当月开单天数'], row['当月G天数'])
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row["日期"] = datetime.strptime(str(row['开户日']), "%Y-%m-%d").date()
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row['日期'] = row["日期"].strftime("%Y-%m-%d")
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customer_to_opportunity.append(row)
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# 推送给客服
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pass
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# 过期7天客服回访
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# current_date = datetime.now()
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seven_days_ago = current_date - timedelta(days=7)
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seven_days_ago = seven_days_ago.date()
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outdated_30 = []
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for index, row in data_JCB.iterrows():
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new_row = row.copy()
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new_row['到期日'] = datetime.strptime(str(row['到期日']), "%Y-%m-%d").date()
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# seven_days_ago = seven_days_ago.date()
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# print(row['到期日'], seven_days_ago)
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if new_row['到期日'] == seven_days_ago and row['客户状态'] == "过期":
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print(row['账号'], row['到期日'], row['当月开单天数'], row['当月G天数'])
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row["日期"] = datetime.strptime(str(row['开户日']), "%Y-%m-%d").date()
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row['日期'] = row["日期"].strftime("%Y-%m-%d")
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outdated_30.append(row)
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# 推送给客服
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pass
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customer_to_opportunity = pd.DataFrame(customer_to_opportunity)
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customer_to_opportunity["表单类型"] = "续约优质客户转商机"
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customer_to_opportunity["派发日期"] = current_date_str
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outdated_30 = pd.DataFrame(outdated_30)
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outdated_30["表单类型"] = "过期7天回访"
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outdated_30["派发日期"] = current_date_str
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self.send_request(outdated_30)
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logger.info(f"过期7天客服回访完成")
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self.send_request(customer_to_opportunity)
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# 过期7天客服回访
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# current_date = datetime.now()
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seven_days_ago = current_date - timedelta(days=7)
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seven_days_ago = seven_days_ago.date()
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outdated_30 = []
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for index, row in data_JCB.iterrows():
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new_row = row.copy()
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new_row['到期日'] = datetime.strptime(str(row['到期日']), "%Y-%m-%d").date()
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# seven_days_ago = seven_days_ago.date()
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# print(row['到期日'], seven_days_ago)
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if new_row['到期日'] == seven_days_ago and row['客户状态'] == "过期":
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print(row['账号'], row['到期日'], row['当月开单天数'], row['当月G天数'])
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row["日期"] = datetime.strptime(str(row['开户日']), "%Y-%m-%d").date()
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row['日期'] = row["日期"].strftime("%Y-%m-%d")
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outdated_30.append(row)
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# 推送给客服
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pass
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outdated_30 = pd.DataFrame(outdated_30)
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outdated_30["表单类型"] = "过期7天回访"
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outdated_30["派发日期"] = current_date_str
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self.send_request(outdated_30)
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common_module.send_task_status(task_start_time, "接车宝日常派发")
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common_module.send_task_status(task_start_time, "接车宝日常派发")
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logger.info(f"接车宝日常派发执行完成")
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except Exception as e:
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common_module.send_task_error(task_start_time, "接车宝日常派发", str(e))
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error_task_logger.error(f"接车宝日常派发执行出错：{e}")
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@staticmethod
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def row_to_dict(row, field_mapping):
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