这个错误是由于_thread.lock对象无法被序列化导致的。要解决这个问题,可以使用concurrent.futures.ThreadPoolExecutor替代concurrent.futures.ProcessPoolExecutor,因为多线程不需要进行对象的序列化。

修改后的代码如下:

import requests
import time
import os
import urllib3
import sys
import random
from bs4 import BeautifulSoup
from concurrent.futures import ThreadPoolExecutor, as_completed
from threading import Lock
from colorama import Fore, init

now_time = time.strftime('%Y-%m-%d %H-%M')

# 读取Dorks
def work(dorks):
    with open(dorks, mode='r', encoding='utf-8') as file:
        read_content = file.readlines()
        # 将内容加入列表
        content = [result.strip() for result in read_content]
        # 返回数量丢给任务池
        return len(read_content), content

# Google搜索
def google_serach(query, locks, filename):
    try:
        # 关闭HTTPS报错信息
        urllib3.disable_warnings()
        filename = os.path.join(os.getcwd(), f'{filename}.txt')
        domains = ['fr','it','ca','co.uk','ru','co,jp','co.kr','com.au','co.in','com.br','com.ar','co.za','co.nz','es','se','nl','ch','at','dk','be','pl','fi','ie','pt','gr', 'tw', 'com', 'uk', 'de', 'br', 'ca', 'kr', 'mx', 'au', 'za']
        random_domain = random.choice(domains)
        url = f'https://www.google.{random_domain}/search?q={query}&num=100'
        # 请求头
        headers = {
            'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
            'accept-language': 'zh-CN,zh;q=0.9',
            'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
            'referer': 'https://www.google.com/',
            'origin': 'https://www.google.com',
            'Sec-Fetch-Site': 'same-origin',
            'Sec-Fetch-Mode': 'navigate',
            'Sec-Fetch-User': '?1',
            'Sec-Fetch-Dest': 'document'
        }
        # 代理
        proxies = {'http': 'http://127.0.0.1:7890', 'https': 'http://127.0.0.1:7890'}
        response = requests.get(url=url, headers=headers, proxies=proxies, verify=False, timeout=5)
        soup = BeautifulSoup(response.content, 'html.parser')
        # 查找全部div标签
        find_div = soup.find_all('div', {'class': 'yuRUbf'})
        # 开启线程锁
        locks.acquire()
        # 加入列表
        get_url = [url.findNext('a')['href'] + '\n' for url in find_div if 'google.com' not in url.findNext('a')['href']]
        global url_num, dork_finish_num
        url_num += len(get_url)
        dork_finish_num += 1
        print(Fore.GREEN + f'\r{now_time}[INFO]{ "-" * 10}>get Urlnumber:{url_num}  Dorsk number:{dork_finish_num} / {dork_total_num}', end='' + Fore.RESET)
        # 写入文件
        write_info(filename, get_url)
        # 释放线程锁
        locks.release()
    except TimeoutError:
        pass

# 写入文件函数
def write_info(filename, get_url):
    with open(filename, mode='a+', encoding='utf-8') as file:
        file.writelines(get_url)

if __name__ == '__main__':
    while True:
        try:
            init()  # 初始化颜色模块
            dorks_file = input(Fore.YELLOW + f'\n{now_time}[INFO]{ "-" * 10}>input file:' + Fore.RESET)
            print('')
            filename = input(Fore.YELLOW + f'\n{now_time}[INFO]{ "-" * 10}>output file:' + Fore.RESET)
            # 接受work函数返回的元组
            dork_total_num, query_list = work(dorks_file)
            # 定义全局变量完成数量/URL数量
            dork_finish_num = url_num = 0

            # 定义线程池数量
            threads = ThreadPoolExecutor(max_workers=20)

            # 定义全局锁
            threads_lock = Lock()

            # 分配线程池任务
            futures = [threads.submit(google_serach, dokr_list, threads_lock, filename) for dokr_list in query_list]

            for future in as_completed(futures):
                future.result()

            threads.shutdown()

            if len(sys.argv) == 1:
                pass

            input(Fore.YELLOW + f'\n\n{now_time}[INFO]{"-" * 10}>final huiche' + Fore.RESET)
            break
        # 文件为空
        except FileNotFoundError:
            print(Fore.RED + f'{now_time}[Error]{"-" * 10}>fiel not find' + Fore.RESET)
        # 中断异常
        except KeyboardInterrupt:
            sys.exit(1)

这样修改后,代码将使用线程池ThreadPoolExecutor来执行任务,避免了对象序列化的问题

下面的代码运行报错怎么解决给我修改过后的代码import requestsimport timeimport osimport urllib3import sysimport randomfrom bs4 import BeautifulSoupfrom concurrentfutures import ProcessPoolExecutor as_completedfrom threading

原文地址: https://www.cveoy.top/t/topic/hE2T 著作权归作者所有。请勿转载和采集!

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