# -*- coding: utf-8 -*-
import pandas as pd
import datetime
from config import Config
from api import API
from back_ground_module import CommonModule

start_time = datetime.datetime.now()
api_instance = API()
common_module = CommonModule()


class UpdateNGVData:
    """NGV数据每日新增"""
    def __init__(self):
        self.staff_id_list = None
        self.field_mapping = {}
        self.fields()

    def load_all_data(self):
        # 获取简道云员工id
        payload = {"api_key": "6694d3c4fcb69ca9a111a6c4",
                   "entry_id": "6769204a1902c9341340a1bc",
                   }
        staff_id = api_instance.entry_data_list(payload)
        self.staff_id_list = staff_id.get("data")  # api请求格式，将数据封装在data字典里

    @staticmethod
    def get_staff_id(row_item, name):
        """辅助函数，用于获取员工ID"""
        if str(row_item["_widget_1734942794144"]) == str(name):  # 检查姓名是否匹配
            return row_item["_widget_1734942794145"]  # 返回员工ID
        return None

    def main(self):
        self.load_all_data()

        task_start_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
        data_NGV_j = common_module.get_ngv_details(days_back=1)
        data_NGV_j1 = common_module.get_ngv_details(days_back=2)
        data_NGV_j.to_csv("NGV.csv")

        # 找出在 data_NGV_j 中存在但在 data_NGV_j1 中不存在的 data_id
        # unique_data_ids = data_NGV_j[~data_NGV_j['org_code'].isin(data_NGV_j1['org_code'])]
        #
        # # 创建一个新的 DataFrame 保存这些唯一的 data_id 及其对应的数据
        # new_df = data_NGV_j[data_NGV_j['org_code'].isin(unique_data_ids['org_code'])]
        #
        # # 对 new_df 进行进一步的过滤，只保留 org_type 为 "一般" 的记录
        # data_NGV_j = data_NGV_j[data_NGV_j['org_type'] == '一般']
        # data_NGV_j1 = data_NGV_j1[data_NGV_j1['org_type'] == '一般']
        # # filtered_df = new_df[new_df['org_type'] == '一般']
        # filtered_df = pd.read_excel(r"C:\Users\Administrator.DESKTOP-7IC2USJ\Desktop\新建 XLSX 工作表 (2).xlsx",sheet_name="Sheet1",).astype( str)
        #
        #
        # # 日期字段转换为日期格式
        # time_columns = ['date_fmt', 'saas_create_time', 'expiry_time', 'install_create_time', "last_end_date",
        #                 "renew_date"]
        # new_filtered_df = filtered_df.copy()  # 复制df，以调整时间
        # for col in time_columns:
        #     # 1. 转换为datetime类型（带错误处理）
        #     # 使用.loc安全赋值
        #     new_filtered_df[col] = pd.to_datetime(filtered_df[col], errors='coerce', utc=False)
        #
        #     # 2. 优化后的时区转换（高效向量化操作）
        #     filtered_df[col + '_date'] = (
        #         new_filtered_df[col]
        #         # 本地化为北京时间（东八区）
        #         .dt.tz_localize('Asia/Shanghai', ambiguous='infer', nonexistent='NaT')
        #         # 转换为UTC时区
        #         .dt.tz_convert('UTC')
        #         # 格式化为ISO8601字符串
        #         .dt.strftime('%Y-%m-%dT%H:%M:%SZ')
        #     )
        #
        # # 人员字段转换为人员字段
        # staff_columns = ['area_manager', 'service_impl_principal', "service_salesmen"]
        # # 将员工列表转为DataFrame
        # # 三重循环临时方案（确保可写入）
        # for col in staff_columns:
        #     staff_ids = []
        #     for _, row in filtered_df.iterrows():
        #         matched = False
        #         for staff in self.staff_id_list:
        #             if str(staff['_widget_1734942794144']) == str(row[col]):
        #                 staff_ids.append(staff['_widget_1734942794145'])
        #                 matched = True
        #                 break
        #         if not matched:
        #             staff_ids.append(None)
        #     filtered_df[col + "_staff_id"] = staff_ids
        #
        # # filtered_df.to_csv(r"D:\Idea Project\SaaS_V1.3\back_ground_module\output\NGV.csv")
        #
        # # 生成包含所有行转换后的字典列表
        # # all_data = [self.row_to_dict(row, self.field_mapping) for index, row in data_NGV_j1.iterrows()] # 前两天的全部数据
        # # all_data = [self.row_to_dict(row, self.field_mapping) for index, row in data_NGV_j.iterrows()]  # 前一天的全部数据
        # all_data = [self.row_to_dict(row, self.field_mapping) for index, row in filtered_df.iterrows()]  # 增量数据
        # #
        # # #
        # data = {'api_key': Config.SaaS_Tasks_APP_ID, 'entry_id': Config.NGV_TASKS_ENTRY_ID, "data_list": all_data}
        #
        # result = api_instance.entry_data_batch_create(data)
        # 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'
        # # filtered_df.to_excel(output_path, index=False)
        # # data_NGV_j1.to_excel( r'D:\Idea Project\F6+宜搭+其它(1)\new\文件输出\ngv明细j1.xlsx', index=False)
        # # data_NGV_j.to_excel( r'D:\Idea Project\F6+宜搭+其它(1)\new\文件输出\ngv明细j.xlsx', index=False)
        # # new_df.to_excel(r'D:\Idea Project\F6+宜搭+其它(1)\new\文件输出\ngv明细ndf.xlsx', 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, "NGV新增数据")

    @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 = dict(date_id='_widget_1734062123065', date_fmt='_widget_1734062123066',
                                  id_own_group='_widget_1734062123067', group_name='_widget_1734062123068',
                                  id_own_org='_widget_1734062123069', org_name='_widget_1734062123070',
                                  org_code='_widget_1734062123071', group_grade='_widget_1734062123072',
                                  org_type='_widget_1734062123073', org_status='_widget_1734062123074',
                                  saas_version='_widget_1734062123075', is_wechat='_widget_1734062123076',
                                  is_mini_app='_widget_1734062123077', is_wx_shop='_widget_1734062123078',
                                  is_camera_service='_widget_1734062123079',
                                  is_maintenance_service='_widget_1734062123080',
                                  saas_create_time='_widget_1734062123081', expiry_time='_widget_1734062123082',
                                  saas_use_days='_widget_1734062123083', saas_use_year='_widget_1734062123084',
                                  is_main_org='_widget_1734062123085', license_code='_widget_1734062123086',
                                  license_name='_widget_1734062123087', org_crm_id='_widget_1734062123088',
                                  province_id='_widget_1734062123089', province_name='_widget_1734062123090',
                                  city_id='_widget_1734062123091', city_name='_widget_1734062123092',
                                  area_id='_widget_1734062123093', area_name='_widget_1734062123094',
                                  region_name='_widget_1734062123095', region_short_name='_widget_1734062123096',
                                  branch_name='_widget_1734062123097', carzone_store_id='_widget_1734062123098',
                                  carzone_store_name='_widget_1734062123099',
                                  customer_carzone_id='_widget_1734062123100', salesmen='_widget_1734062123101',
                                  area_manager='_widget_1734062123102', service_salesmen='_widget_1734062123103',
                                  impl_principal='_widget_1734062123104',
                                  service_impl_principal='_widget_1734062123105',
                                  active_user_count='_widget_1734062123106', active_user_type='_widget_1734062123107',
                                  limit_user_count='_widget_1734062123108', limit_user_type='_widget_1734062123109',
                                  is_n='_widget_1734062123110', is_g='_widget_1734062123111',
                                  is_v='_widget_1734062123112', is_visited='_widget_1734062123113',
                                  is_active='_widget_1734062123114', active_status_fmt='_widget_1734062123115',
                                  bill_count_last_30_day='_widget_1734062123116',
                                  bill_day_count_last_30_day='_widget_1734062123117',
                                  bill_day_count_this_month='_widget_1734062123118',
                                  bill_count_last_7_day='_widget_1734062123119',
                                  bill_day_count_last_7_day='_widget_1734062123120', pv_count='_widget_1734062123121',
                                  uv_count='_widget_1734062123122', bill_count_1d='_widget_1734062123123',
                                  bill_count_2d='_widget_1734062123124', bill_count_3d='_widget_1734062123125',
                                  bill_count_4d='_widget_1734062123126', bill_count_5d='_widget_1734062123127',
                                  bill_count_6d='_widget_1734062123128', bill_count_7d='_widget_1734062123129',
                                  bill_count_8d='_widget_1734062123130', bill_count_9d='_widget_1734062123131',
                                  bill_count_10d='_widget_1734062123132', bill_count_11d='_widget_1734062123133',
                                  bill_count_12d='_widget_1734062123134', bill_count_13d='_widget_1734062123135',
                                  bill_count_14d='_widget_1734062123136', bill_count_15d='_widget_1734062123137',
                                  bill_count_16d='_widget_1734062123138', bill_count_17d='_widget_1734062123139',
                                  bill_count_18d='_widget_1734062123140', bill_count_19d='_widget_1734062123141',
                                  bill_count_20d='_widget_1734062123142', bill_count_21d='_widget_1734062123143',
                                  bill_count_22d='_widget_1734062123144', bill_count_23d='_widget_1734062123145',
                                  bill_count_24d='_widget_1734062123146', bill_count_25d='_widget_1734062123147',
                                  bill_count_26d='_widget_1734062123148', bill_count_27d='_widget_1734062123149',
                                  bill_count_28d='_widget_1734062123150', bill_count_29d='_widget_1734062123151',
                                  bill_count_30d='_widget_1734062123152', bill_count_31d='_widget_1734062123153',
                                  etl_time='_widget_1734062123154',
                                  maintain_bill_count_last_30_day='_widget_1734062123155',
                                  washing_bill_count_last_30_day='_widget_1734062123156',
                                  maintain_bill_day_count_last_30_day='_widget_1734062123157',
                                  washing_bill_day_count_last_30_day='_widget_1734062123158',
                                  retail_bill_count_last_30_day='_widget_1734062123159',
                                  retail_bill_day_count_last_30_day='_widget_1734062123160',
                                  purchase_bill_count_last_30_day='_widget_1734062123161',
                                  purchase_bill_day_count_last_30_day='_widget_1734062123162',
                                  card_bill_count_last_30_day='_widget_1734062123163',
                                  card_bill_day_count_last_30_day='_widget_1734062123164',
                                  gd_sales_bill_count_last_30_day='_widget_1734062123165',
                                  gd_sales_bill_day_count_last_30_day='_widget_1734062123166',
                                  g_change_flag='_widget_1734062123167', saas_package='_widget_1734062123168',
                                  manage_model='_widget_1734062123169', contacts='_widget_1734062123170',
                                  contact_number='_widget_1734062123171', contact_mobile='_widget_1734062123172',
                                  g_month_count='_widget_1734062123173', g_month_percentage='_widget_1734062123174',
                                  is_install_service='_widget_1734062123175',
                                  install_create_time='_widget_1734062123176', last_end_date='_widget_1734062123177',
                                  renew_date='_widget_1734062123178', is_chain_owner='_widget_1734062123179',
                                  group_org_count='_widget_1734062123180',
                                  recent_bill_warning_days='_widget_1734062123181',
                                  g_change_flag_d='_widget_1734062123182', g_lost_warning_days='_widget_1734062123183',
                                  saas_edition_fmt='_widget_1734062123184', g_flag_1m='_widget_1734062123185',
                                  g_flag_2m='_widget_1734062123186', g_flag_3m='_widget_1734062123187',
                                  g_flag_4m='_widget_1734062123188', g_flag_5m='_widget_1734062123189',
                                  g_flag_6m='_widget_1734062123190', g_flag_day_count='_widget_1734062123191',
                                  add_org_flag='_widget_1734062123192', pt='_widget_1734062123193',
                                  org_size='_widget_1734062123194', qualification_type_fmt='_widget_1734062123195',
                                  business_scope_fmt='_widget_1734062123196', store_type_fmt='_widget_1734062123197',
                                  area='_widget_1734062123198', station_number='_widget_1734062123199',
                                  header_type_fmt='_widget_1734062123200', org_stage='_widget_1734062123201',
                                  g_count_this_month='_widget_1734062123202',
                                  saas_customer_type='_widget_1734062123203', technician='_widget_1734062123204',
                                  tmall_maintain_service_status_desc='_widget_1734062123205',
                                  date_fmt_date='_widget_1749000071375',
                                  area_manager_staff_id='_widget_1748496855779',
                                  service_impl_principal_staff_id="_widget_1748496855780",
                                  service_salesmen_staff_id="_widget_1748496855778",
                                  saas_create_time_date="_widget_1749000071377",
                                  expiry_time_date="_widget_1749000071382",
                                  install_create_time_date="_widget_1749000071384",
                                  last_end_date_date="_widget_1749000071389", renew_date_date="_widget_1749000071391")


if __name__ == '__main__':
    start = UpdateNGVData()
    start.main()
