86 lines
3.4 KiB
Python
86 lines
3.4 KiB
Python
# -*- coding: utf-8 -*-
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import pandas as pd
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import datetime
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from config import Config
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from api import API
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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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# 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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error_task_logger = configure_error_task_logger()
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start_time = datetime.datetime.now()
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api_instance = API()
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common_module = CommonModule()
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class importDifferentIndustriesData:
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"""异业合作数据支撑"""
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def __init__(self):
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self.field_mapping = {}
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self.fields()
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def main(self):
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task_start_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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try:
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payload = {"api_key": Config.SaaS_Tasks_APP_ID,
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"entry_id": Config.DifferentIndustries_form_ID,
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}
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abnormal_service = api_instance.entry_data_list(payload)
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abnormal_list = abnormal_service.get("data") # api请求格式，将数据封装在data字典里
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delete_id_list = []
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try:
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for i in range(0, len(abnormal_list)): # 删除历史数据
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delete_id_list.append(abnormal_list[i]['_id'])
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delete_payload = {"api_key": Config.SaaS_Tasks_APP_ID,
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"entry_id": Config.DifferentIndustries_form_ID,
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"data_ids": delete_id_list}
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api_instance.entry_data_batch_delete(delete_payload)
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except Exception as e:
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error_task_logger.error(f"异业合作数据支撑任务执行时发生异常: {e}")
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common_module.send_task_error(task_start_time, "异业合作数据支撑", str(e))
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data_commission = common_module.get_differentindustries_details()
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# 生成包含所有行转换后的字典列表
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data_commission = [self.row_to_dict(row, self.field_mapping) for index, row in data_commission.iterrows()]
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data_commission = {'api_key': Config.SaaS_Tasks_APP_ID, 'entry_id': Config.DifferentIndustries_form_ID,
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"data_list": data_commission}
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api_instance.entry_data_batch_create(data_commission)
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common_module.send_task_status(task_start_time, "异业合作数据支撑")
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except Exception as e:
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error_task_logger.error(f"异业合作数据支撑任务执行时发生异常: {e}")
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common_module.send_task_error(task_start_time, "异业合作数据支撑", str(e))
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@staticmethod
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def row_to_dict(row, field_mapping):
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"""将一行数据转换为指定格式的字典"""
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result = {}
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for col_name, widget_id in field_mapping.items():
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if col_name in row:
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value = row[col_name]
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clean_value = None if pd.isna(value) else value
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result[widget_id] = {"value": clean_value}
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return result
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def fields(self):
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self.field_mapping = {
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"门店id": "_widget_1742884829007",
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"商品名称": "_widget_1742884829008",
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"服务期结束时间": "_widget_1742884829009",
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"门店名称": "_widget_1748931208851",
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"公司id": "_widget_1748930826642",
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"门店编码": "_widget_1748931208852"
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}
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if __name__ == '__main__':
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start = importDifferentIndustriesData()
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start.main()
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