python注册大量用户,python多用户登录

发布时间：2022-11-20

本文目录一览：

  1. python怎么在Linux实现创建用户？
  2. [python设计函数,实现会员注册,要求用户名长度不小于3,密码长度不小于6, 注册时两次输入密码必须相同](#python设计函数,实现会员注册,要求用户名长度不小于3,密码长度不小于6, 注册时两次输入密码必须相同)
  3. python注册程序编写？
  4. [python批量注册账号 数据库会崩溃吗](#python批量注册账号 数据库会崩溃吗)
  5. python怎么爬取简书用户名

python怎么在Linux实现创建用户？

题主你好, 我以创建user1-user10个用户为例, 代码为测试截图如下:

  1. 系统中不存在user1-user10: 执行脚本: 可以看到脚本执行后, 显示成功添加用户数10个, 失败0个.并且/etc/shadow中相应的用户信息也有了.

我们删掉user0, user1和user2: 可以看到/etc/shadow中的信息已经没有了user0-user2的信息了,此时我们再执行上面的脚本: 可以看到输出显示, 成功创建3个,就是我们之前删掉的那三个. 还有7个创建失败的, 因为用户本身就存在所以创建失败了. 希望可以帮到题主, 欢迎追问.

python设计函数,实现会员注册,要求用户名长度不小于3,密码长度不小于6, 注册时两次输入密码必须相同

def log_in():
    username = input("输入用户名(不小于3位)")
    if len(username) >= 3:
        password = input("密码(不小于六位)")
        if len(password) >= 6:
            pass_1 = input("再次输入密码")
            if password == pass_1:
                print("注册成功")
            else:
                print("两次输入密码不一致")
                log_in()
        else:
            print("密码长度不符合要求")
            log_in()
    else:
        print("帐号长度不符合要求")
        log_in()
log_in()

python注册程序编写？

import re
username_pattern = re.compile(r'_.{2,29}')
password_pattern = re.compile(r'(?=.*_)(?=.*\d)(?=.*[A-Za-z]).{6,18}')

然后用相应的pattern，去match用户输入的字符串即可。

python批量注册账号 数据库会崩溃吗

不会的，一般不会同时运行太多账号，数据库可支撑力是很大的，不用担心这个问题，要批量注册所需要用的代码如下：

# -*- coding:utf-8 -*-
import random, urllib, urllib2
import re, time
x = input("请输入需要注册的数量:")
# x=raw_input() #转换成字符串的
def h(i, y):
    user = str(random.randrange(10000000, 99999999))
    QQ = str(random.randrange(10001, 999999999999))
    pwd = str(random.randrange(100000, 99999999))
    url = ""
    data = {
        "username": user,
        "password": pwd,
        "repassword": pwd,
        "email": QQ + "@qq.com",
        "qq": QQ,
        "sex": "0",
        "action": "newuser",
        "submit": ""
    }
    data = urllib.urlencode(data)
    req = urllib2.Request(url, data=data)
    print data
    # html=urllib2.urlopen(req).read()
    # print(html)
    html = urllib2.urlopen(req).read().decode('gbk')
    # print(type(html))
    reg = u'您已成功注册成为本站用户'
    reg = re.compile(reg)
    r = re.findall(reg, html)
    if r != []:
        print("注册成功，账号为%s，密码为%s，目前注册到第%s,还剩%s个" % (user, pwd, i+1, y-i-1))
        f = open("c:\\user.txt", "a")
        f.write("%s----%s----%s@qq.com----%s\n" % (user, pwd, QQ, QQ))
        # f.write("qq----123456")
        f.close()
for i in range(x):
    h(i, x)
    # 延时
    time.sleep(2)

python怎么爬取简书用户名

初步的思路

今天在用Scrapy写代码的时候，对网页的结构也有了大致的分析，再加上之前罗罗攀的思路，初步我是通过专题入口

热门专题

专题管理员 （一般粉丝、文章、字数、收获喜欢、这几项数据都非常漂亮）

以上红框里的数据项就是我需要爬取的字段 但是以上的思路存在一点的问题： 存在一些简书用户并不是一些热门专题的管理员，但是其人气粉丝量也很高，这个思路可能无法将这些用户爬取下来

进阶的思路

热门专题

专题关注的人

专题关注的人的动态

推荐作者 粉丝信息

优点： 数据大而全，基本包含了99%的用户（个人猜测，不严谨） 缺点： 因为许多用户不止关注一个专题，而且其中包含了大量的新注册用户（数据很多为空），并且也有大量重复数据需要去重

代码部分:

jianshu.py 还在调试阶段，待更新...

# -*- coding: utf-8 -*-
import sys
import json
import requests
import scrapy
import re
from lxml import etree
from scrapy.http import Request
reload(sys)
sys.path.append('..')
sys.setdefaultencoding('utf-8')
class jianshu(scrapy.Spider):
    name = 'jianshu'
    # topic_category = ['city']
    topic_category = ['recommend', 'hot', 'city']
    base_url = 'lections?page=%sorder_by=%s'
    cookies = {
        'UM_distinctid': '15b89d53a930-02ab95f11ccae2-51462d15-1aeaa0-15b89d53a9489b',
        'CNZZDATA1258679142': '1544557204-1492664886-%7C1493280769',
        '_session_id': '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%3D%3D--0849c37208f8c573960d857029c7d6a15145c419',
        'remember_user_token':'W1szNDgxMjU3XSwiJDJhJDEwJDlSS3VLcFFWMlZzNFJuOFFNS1JQR3UiLCIxNDk0MjEzNDQ3LjYwODEwNzgiXQ%3D%3D--9241542a4e44d55acaf8736a1d57dd0e96ad4e7a',
        '_ga': 'GA1.2.2016948485.1492666105',
        '_gid': 'GA1.2.382495.1494550475',
        'Hm_lpvt_0c0e9d9b1e7d617b3e6842e85b9fb068': '1494550475',
        'Hm_lvt_0c0e9d9b1e7d617b3e6842e85b9fb068': '1494213432,1494213612,1494321303,1494387194'
    }
    headers = {
        'Accept-Encoding': 'gzip, deflate, sdch',
        'Accept - Language': 'zh - CN, zh;q = 0.8',
        'Connection': 'close',
        'Cookie': 'UM_distinctid=15b89d53a930-02ab95f11ccae2-51462d15-1aeaa0-15b89d53a9489b; CNZZDATA1258679142=1544557204-1492664886-%7C1493280769; remember_user_token=W1szNDgxMjU3XSwiJDJhJDEwJDlSS3VLcFFWMlZzNFJuOFFNS1JQR3UiLCIxNDk0MjEzNDQ3LjYwODEwNzgiXQ%3D%3D--9241542a4e44d55acaf8736a1d57dd0e96ad4e7a; _ga=GA1.2.2016948485.1492666105; _gid=GA1.2.824702661.1494486429; _gat=1; Hm_lvt_0c0e9d9b1e7d617b3e6842e85b9fb068=1494213432,1494213612,1494321303,1494387194; Hm_lpvt_0c0e9d9b1e7d617b3e6842e85b9fb068=1494486429; _session_id=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%3D%3D--ea401e8c501e7b749d593e1627dbaa88ab4befc2',
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.81 Safari/537.36',
        'Host':'',
        "X-Requested-With": 'XMLHttpRequest'
    }
    def get_total_page(self):
        # 获取专题总页数 包含3个字典的列表 [{"hot": xx}, {"recommend":xx}, {"city": xx}]
        total_page_list = []
        for order in self.topic_category:
            order = order.decode('utf-8')
            total_page = 100
            dict = {}
            for page in range(1, total_page):
                url = self.base_url % (page, order)
                html = requests.get(url, headers=self.headers).content
                selector = etree.HTML(html)
                # print html
                try:
                    elements = selector.xpath('//*[@id="list-container"]/div[1]/div/h4/a/text()')[0]
                    if elements is not Exception:
                        continue
                except Exception :
                    dict['total_page'] = page - 1
                    dict['category'] = order
                    break
            total_page_list.append(dict)
        return total_page_list
    def get_topic_info(self):
        # 获取专题信息
        topic_info_list = []
        total_page_list = self.get_total_page()
        base_url = self.base_url
        for dict in total_page_list:
            category = dict['category']
            total_page = int(dict['total_page'])
            for page in range(1, total_page + 1):
                url = base_url % (page, category)
                html = requests.get(url, headers=self.headers, cookies=self.cookies).content
                selector = etree.HTML(html)
                topic_href = selector.xpath('//*[@id="list-container"]')[0]
                for href in topic_href:
                    dict = {}
                    topic_name = href.xpath('./div/h4/a/text()')[0]
                    topic_url = "" + href.xpath('./div/h4/a/@href')[0]
                    topic_img_url = href.xpath('./div/a/img/@src')[0]
                    img_num = topic_img_url.split("/")[5]
                    dict['topic_name'] = topic_name
                    dict['topic_url'] = topic_url
                    # 
                    dict['img_num'] = img_num
                    topic_info_list.append(dict)
        return topic_info_list
    def get_topic_admin_info(self):
        # 获取管理员信息
        topic_admin_info_list = []
        topic_info_list = self.get_topic_info()
        for d in topic_info_list:
            img_num = str(d['img_num'])
            base_url = "s/editors_and_subscribers" % img_num
            base_url_response = requests.get(base_url, headers=self.headers, cookies=self.cookies)
            json_data_base = json.loads(base_url_response.text.decode('utf-8'))
            editors_total_pages = json_data_base['editors_total_pages']
            for page in range(1, int(editors_total_pages) + 1):
                if page == 1:
                    editors = json_data_base['editors']
                    for editor in editors:
                        dict = {}
                        dict['nickname'] = editor['nickname']
                        dict['slug'] = editor['slug']
                        topic_admin_info_list.append(dict)
                else:
                    try:
                        url = "}/editors?page={}".format(img_num, page)
                        response = requests.get(url, headers=self.headers, cookies=self.cookies)
                        json_data = json.loads(response.text.decode('utf-8'))
                        editors = json_data['editors']
                        for editor in editors:
                            dict = {}
                            dict['nickname'] = editor['nickname']
                            dict['slug'] = editor['slug']
                            topic_admin_info_list.append(dict)
                    except Exception:
                        pass
        return topic_admin_info_list
    def get_followers_following_list(self):
        # 获取管理员粉丝列表
        followers_list = []
        topic_admin_list = self.get_topic_admin_info()
        followers_base_url = "s/%s/followers"
        for dict in topic_admin_list:
            url = followers_base_url % dict['slug']
            headers = self.headers
            headers['Referer'] = url
            headers['DNT'] = '1'
            response = requests.get(url, headers=headers, cookies=self.cookies).content
            total_followers = re.fi
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