# -*- 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

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")
        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
        # print(abnormal_list)
        delete_id_list = []
        for i in range(0,len(abnormal_list)):  # 删除历史数据

            try:
                # delete_data = {"api_key": Config.SaaS_Tasks_APP_ID,
                #                 "entry_id": Config.GroupNotification_form_ID,
                #                 "data_id": abnormal_list[i]['_id']}
                # api_instance.entry_data_delete(delete_data)
                delete_id_list.append(abnormal_list[i]['_id'])
            except Exception as e:
                print(e)

        # print(delete_id_list)
        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)


        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}
        
        result = api_instance.entry_data_batch_create(data_commission)
        # result_str = str(result)
        # print(result_str[:500])

        # 保存到Excel文件
        # output_path = r'D:\Idea Project\F6+宜搭+其它(1)\new\文件输出\ngv明细1.xlsx'
        # data_NGV_j.to_excel(output_path, index=False)

        end_time = datetime.datetime.now()

        time_diff = end_time - start_time

        # 打印天数、秒数和微秒数
        print(f"执行时间: {time_diff.days} 天, {time_diff.seconds} 秒, {time_diff.microseconds} 微秒")
        common_module.send_task_status(task_start_time, "短信数据支撑")

    @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()