import pandas as pd
import requests
from module import F6_module
import time
from tqdm import tqdm

#+
# f6_module = F6_module()
#
# # 1.向服务器发送请求登录
# username = "13799889725"
# password = "Lc1234"
# store_name = "禹城榕桦"
module = 2
#
# res = f6_module.login_in(username, password, store_name)
# # cookies = requests.utils.dict_from_cookiejar(res.cookies)

cookies = {
    'memberSESSIONID': 'a6c5084a-7393-426e-9cdc-c3fb8c0d6960',
    'erpLanguage': 'zh-CN',
    'tmall': 'false',
    'Hm_lvt_25f5e7a3a5dbb293d7dd35d5f1be8d0a': '1760494904,1760510876,1760584685,1760671187',
    'HMACCOUNT': '55F2182717FD6AE6',
    'prodOrg': '16001002822673915925',
    'unp': '16001002823772827677',
    'un': '16001002823772827677',
    '_up': '-NillNN-qyBEJ--t3vnSknvoOF1_zfCNsM8N0Xg4XeVVVPbHoJ7QjaZJ9Q3d-WrAAGgt60MgQHajHWBHMKKxj0CuWypi1JgKCFP1EPEk-HbqEvMdqoIq3wEI9_JRv-ZNHu3M-GTf3piwFXeqpu9WjuwYmFTEOBRorEj9mmew_aOwUBk.',
    'sensorsdata2015jssdkcross': '%7B%22distinct_id%22%3A%2216001002823772827677%22%2C%22first_id%22%3A%22198a89fdaa54f-0a897244f8104b8-4c657b58-2073600-198a89fdaa61b71%22%2C%22props%22%3A%7B%22%24latest_traffic_source_type%22%3A%22%E7%9B%B4%E6%8E%A5%E6%B5%81%E9%87%8F%22%2C%22%24latest_search_keyword%22%3A%22%E6%9C%AA%E5%8F%96%E5%88%B0%E5%80%BC_%E7%9B%B4%E6%8E%A5%E6%89%93%E5%BC%80%22%2C%22%24latest_referrer%22%3A%22%22%7D%2C%22%24device_id%22%3A%22198a89fdaa54f-0a897244f8104b8-4c657b58-2073600-198a89fdaa61b71%22%7D',
    'Hm_lpvt_25f5e7a3a5dbb293d7dd35d5f1be8d0a': '1760939885',
}

print(cookies)  # 登录获取cookies

df = pd.read_excel(fr"C:\Users\zy187\Desktop\钉钉文件\车辆信息-修复-太乙1020.xls",sheet_name="Sheet4").astype(str)


if module == 1: # 客户信息删除
    df['手机号码'] = df['手机号码'].astype(str).str.strip().str.replace('.0$', '', regex=True)
    df['手机号码'].dropna(inplace=True)
    url = "https://yunxiu.f6car.cn/member/customer/listForPermission?pageSize=50000&pageNo=1"  # 获取客户信息列表
    res = requests.get(url, cookies=cookies)
    data = res.json()
    for item in tqdm(data['data']['data']):
        try:
            idCustomer = item['idCustomer']
            phone = item['cellPhone']
            phone_clean = str(phone).strip().replace('.0', '')
            if phone in df['手机号码'].values:
                print("删除：", phone)
                url = f"https://yunxiu.f6car.cn/member/customer/{idCustomer}"  # 客户信息删除url
                res = requests.delete(url, cookies=cookies)  # 客户信息删除
                print(res.json(), idCustomer, phone)
                time.sleep(3)
            else:
                # print("不删除：", phone)
                pass
        except:
            idCustomer = item['idCustomer']

if module == 2: # 客户车辆信息删除
    for index, row in tqdm(df.iterrows(), total=len(df)):
        car_number = row['车牌号']
        car_Id = row["carId"]
        customerId = row["customerId"]

        try:
            # print("删除：", car_number)
            url = f"https://yunxiu.f6car.cn/member/car/deleteCar/{car_Id}/{customerId}"
            # url = f"https://yunxiu.f6car.cn/macan/coupon/car/batchRemove?customerId={customerId}&carId={carId}&operateOrgId={operateOrgId}"  # 删除客户车辆信息url
            res = requests.delete(url, cookies=cookies)  # 客户车辆信息删除
            print("delete——", res.json(), customerId, car_Id)

            from datetime import datetime
            now = datetime.now()
            if now.hour >= 20:
                time.sleep(1)
            else:
                time.sleep(3)
        except:
            print("删除失败：", res.json(), customerId, car_Id)
            continue