Files
saas/back_ground_module/data_Support_GroupNotification.py
T
2025-08-14 11:55:03 +08:00

89 lines
3.6 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 importGroupNotificationData:
"""短信数据支撑"""
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.GroupNotification_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.GroupNotification_form_ID,
"data_ids": delete_id_list}
api_instance.entry_data_batch_delete(delete_payload)
except Exception as e:
error_task_logger.error(f"删除历史数据失败:{e}")
common_module.send_task_error(task_start_time, "短信数据支撑", str(e))
data_commission = common_module.get_GroupNotification_details()
# 生成包含所有行转换后的字典列表
data_commission = [self.row_to_dict(row, self.field_mapping) for index, row in data_commission.iterrows()]
data_commission = {'api_key': Config.SaaS_Tasks_APP_ID, 'entry_id': Config.GroupNotification_form_ID,
"data_list": data_commission}
api_instance.entry_data_batch_create(data_commission)
common_module.send_task_status(task_start_time, "短信数据支撑")
except Exception as e:
error_task_logger.error(f"短信数据支撑失败:{e}")
common_module.send_task_error(task_start_time, "短信数据支撑", 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_1743065201885",
"是否启动短信功能": "_widget_1743065201886",
"是否购买短信包": "_widget_1743065201887",
"累计购买总数": "_widget_1743065201888",
"累计发送成功总人数": "_widget_1743065201889",
"剩余短信条数": "_widget_1743065201890",
"第一次短信购买时间": "_widget_1743065201891",
"最近一次短信购买时间": "_widget_1743065201892",
"实付总金额": "_widget_1743065201893",
"短信剩余量是否小于20%": "_widget_1743065201894"
}
if __name__ == '__main__':
start = importGroupNotificationData()
start.main()