Files
saas/back_ground_module/data_Support_Private_Mini_Program.py
2025-08-21 09:45:18 +08:00

95 lines
4.3 KiB
Python

# -*- coding: utf-8 -*-
import pandas as pd
import datetime
from config import Config
from api import API
import pymysql # 使用 pymysql 替代 mysql.connector
from back_ground_module import CommonModule
from log_config import configure_task_logger, configure_error_task_logger
# 获取已经配置好的常规日志记录器
logger = configure_task_logger()
error_task_logger = configure_error_task_logger()
start_time = datetime.datetime.now()
api_instance = API()
common_module = CommonModule()
class importSYXCXData:
"""私域小程序数据支撑"""
def __init__(self):
self.field_mapping = {}
self.fields()
def main(self):
task_start_time =datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
try:
payload = {"api_key": Config.SaaS_Tasks_APP_ID,
"entry_id": Config.SYXCX_form_ID,
}
abnormal_service = api_instance.entry_data_list(payload)
abnormal_list = abnormal_service.get("data") # api请求格式,将数据封装在data字典里
delete_id_list = []
try:
for i in range(0, len(abnormal_list)): # 删除历史数据
delete_id_list.append(abnormal_list[i]['_id'])
delete_payload = {"api_key": Config.SaaS_Tasks_APP_ID,
"entry_id": Config.SYXCX_form_ID,
"data_ids": delete_id_list}
api_instance.entry_data_batch_delete(delete_payload)
except Exception as e:
error_task_logger.error(f"删除私域小程序数据时出错: {e}")
common_module.send_task_error(task_start_time, "私域小程序数据支撑", str(e))
data_SY = common_module.get_syxcx_details()
# 生成包含所有行转换后的字典列表
data_SY = [self.row_to_dict(row, self.field_mapping) for index, row in data_SY.iterrows()]
data_SY = {'api_key': Config.SaaS_Tasks_APP_ID, 'entry_id': Config.SYXCX_form_ID, "data_list": data_SY}
api_instance.entry_data_batch_create(data_SY)
common_module.send_task_status(task_start_time, "私域小程序数据支撑")
except Exception as e:
error_task_logger.error(f"私域小程序数据支撑执行时出错: {e}")
common_module.send_task_error(task_start_time, "私域小程序数据支撑", str(e))
@staticmethod
def row_to_dict(row, field_mapping):
"""将一行数据转换为指定格式的字典"""
result = {}
for col_name, widget_id in field_mapping.items():
if col_name in row:
value = row[col_name]
clean_value = None if pd.isna(value) else value
result[widget_id] = {"value": clean_value}
return result
def fields(self):
self.field_mapping = {
"公司ID": "_widget_1742795002375",
"公众号名称": "_widget_1742795002376",
"小程序模板类型": "_widget_1742795002377",
"是否开通微信商城": "_widget_1742795002378",
"上架商品数": "_widget_1742795002379",
"上架套餐卡数": "_widget_1742795002380",
"上架实体商品数": "_widget_1742795002381",
"上架项目数": "_widget_1742795002382",
"上架套餐数": "_widget_1742795002383",
"微信公众号粉丝数": "_widget_1742795002384",
"微信公众号绑定手机粉丝数": "_widget_1742795002385",
"是否开通微信小程序": "_widget_1742795002386",
"微信小程序绑定用户数": "_widget_1742795002387",
"微信小程序绑定手机用户量": "_widget_1742795002388",
"微信订单数": "_widget_1742795002389",
"微信支付订单量": "_widget_1742795002390",
"线下订单数": "_widget_1742795002391"
}
if __name__ == '__main__':
start = importSYXCXData()
start.main()