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F6--/F6系统常用脚本/请求删除客户信息.py
2026-01-30 11:28:35 +08:00

40 lines
2.1 KiB
Python

from numpy import dtype
import pandas as pd
import asyncio
import aiohttp
import sqlalchemy
import time
import requests
cookies_str = 'memberSESSIONID=ae16b0e4-7de3-4de1-b719-413777250fa2; gr_user_id=408fef1a-77ed-4e74-8f1e-31dde3446f2e; erpLanguage=zh-CN; tmall=false; Hm_lvt_25f5e7a3a5dbb293d7dd35d5f1be8d0a=1716516379,1716602530,1716620891,1717378558; prodOrg=11240984669918002048; unp=15818631886583914510; un=15818631886583914510; _up=-NillNN-qyBEJ--t3vnSknvoOF53zPmLs8wN2306UuRUV_XEppnQjaZJ9Q3d-WrAAGgt60MgQHajHWBHMKKxj0CuWypi1JgKCFP1EPEk-HbqFfQXroIq1AEO9vZRv-ZNHu3M-GTc1pm5E3SppuVTjOMZmVfHOxJvrEj9xx2wrcDUSiQ.; sensorsdata2015jssdkcross=%7B%22distinct_id%22%3A%2215818631886583914510%22%2C%22first_id%22%3A%221750b4690af1f6-089dd3a4874eb8-3d634f03-1327104-1750b4690b09d0%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%221750b4690af1f6-089dd3a4874eb8-3d634f03-1327104-1750b4690b09d0%22%7D; Hm_lpvt_25f5e7a3a5dbb293d7dd35d5f1be8d0a=1717379834'
cookies_str = cookies_str.encode('utf-8').decode('latin-1')
cookie_dict = {item.split('=')[0]: item.split('=')[1]
for item in cookies_str.split('; ')}
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36 Edg/95.0.1020.40',
"Content-Type": "application/json;charset=UTF-8",
'origin': 'https://yunxiu.f6car.cn'
}
XM=[]
response = requests.get(f'https://yunxiu.f6car.com/member/customer/listForPermission?pageSize=2000&pageNo=1',cookies=cookie_dict)
res=response.json()
le=len(res['data']['data'])
for i in range(0,le):
XM1={}
kehu=res['data']['data'][i]['idCustomer']
XM1['客户ID']=kehu
XM.append(XM1)
df=pd.DataFrame(XM)
df = df.astype('string')
df.drop_duplicates(subset=['客户ID'])
num = 1
for userID in df['客户ID']:
res = requests.delete(f'https://yunxiu.f6car.cn/member/customer/{userID}',cookies=cookie_dict)
num = num + 1
print(num,userID,res.text)