python 自写多进程+多线程代码

博主： huoyu
发布时间：2025 年 03 月 12 日
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分类： python - 爬虫 python - 技巧

## 代码如下

```python
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time    : 2025/3/12 09:14
# @Author  : huoyu
# @email   : 2319899766@qq.com
# @File    : onstove_thread.py
# @Project : verifi_number
# @Software: PyCharm

import configparser
import threading
import multiprocessing
import onstove_pc
import os
import queue
from ColorInfo import ColorLogger

# 读取配置文件
config = configparser.ConfigParser()
config.read('config.ini')
logger = ColorLogger()
threads_count = int(config['Settings']['threads'])
processes_count = int(config['Settings']['processes'])

def load_data(file_path, data_queue):
    # 从文件中读取数据并将其放入队列
    with open(file_path, 'r', encoding="utf-8") as file:
        for line in file:
            data_queue.put(line.strip())  # 去除行末的换行符，并将数据放入队列
    # 标记数据读取完成
    data_queue.put(None)

def task(data_queue, save_data_queue):
    while True:
        data = data_queue.get()
        if data is None:  # 读取到None标记时退出
            data_queue.put(None)  # 传递None到队列，让其他线程也能退出
            break
        username = data.split('----')[0]
        passwd = data.split('----')[1]
        result = onstove_pc.signin_old(username, passwd)
        print(f"处理数据: {data}")
        if result == None:
            result = ""
        result = data + "----" + result + "\n"
        save_data_queue.put(result)
        print(f"数据处理完成: {data}")

def worker_process(data_queue, save_data_queue):
    print(f"进程 {multiprocessing.current_process().name} 启动")
    threads = []
    for _ in range(threads_count):
        thread = threading.Thread(target=task, args=(data_queue, save_data_queue))
        threads.append(thread)
        thread.start()

for thread in threads:
        thread.join()

print(f"进程 {multiprocessing.current_process().name} 完成任务")

def save_data(save_data_queue, process_event):
    # 确保'record'文件夹存在
    os.makedirs("./record", exist_ok=True)
    count = 1
    # 打开文件句柄
    with open("./record/user_power_error.txt", "a", encoding="utf-8") as user_error_file, \
            open("./record/captcha_error.txt", "a", encoding="utf-8") as captcha_error_file, \
            open("./record/out_time.txt", "a", encoding="utf-8") as out_time_file, \
            open("./record/Blocked_account.txt", "a", encoding="utf-8") as Blocked_account_file, \
            open("./record/login_success.txt", "a", encoding="utf-8") as success_file, \
            open("./record/other_error.txt", "a", encoding="utf-8") as other_error_file:

# 实时监控数据队列，保存数据
        while True:
            try:
                data = save_data_queue.get(timeout=1)  # 每当有新数据就获取，超时时间设为1秒
                if data is None:  # 读取到None标记时退出
                    if save_data_queue.empty():
                        print("所有数据保存完毕")
                        break
                    else:
                        save_data_queue.put(None)
                else:

logger.info(data)
                    print("已经执行了完第" + str(count) + "条")
                    count += 1
                    # logger.debug("3", "4")
                    # logger.warning("5")
                    # logger.error("6", "7", "yes")
                    # print(f"保存数据: {data}")
                    # 根据不同错误类型保存到对应文件
                    if "incorrect" in data:  # 账号密码错误
                        user_error_file.write(data)
                        user_error_file.flush()
                    elif "Blocked account" in data:  # 验证码错误
                        Blocked_account_file.write(data)
                        Blocked_account_file.flush()
                    elif "captcha" in data:  # 验证码错误
                        captcha_error_file.write(data)
                        captcha_error_file.flush()
                    elif "timed out after" in data or "BoringSSL SSL_connect" in data:  # 超时
                        out_time_file.write(data)
                        out_time_file.flush()
                    elif "huoyu" in data:  # 成功
                        success_file.write(data)
                        success_file.flush()
                    elif "CONNECT tunnel failed, response 407" in data:
                        print("代理到期")
                        data_queue.put(None)
                        break
                    else:  # 其他错误
                        other_error_file.write(data)
                        other_error_file.flush()

except queue.Empty:
                # 当数据队列在 1 秒内没有新数据时，检查进程是否都完成
                if process_event.is_set() and save_data_queue.empty():
                    print("所有数据保存完毕")
                    break  # 如果所有进程任务都完成，且队列为空，退出保存数据线程

if __name__ == '__main__':
    manager = multiprocessing.Manager()
    data_queue = manager.Queue()  # 创建一个共享队列
    save_data_queue = manager.Queue()  # 创建一个共享队列
    process_event = multiprocessing.Event()  # 创建一个事件标志
    processes = []

# 启动数据加载线程
    data_loader_thread = threading.Thread(target=load_data, args=('资料.txt', data_queue))
    data_loader_thread.start()

# 启动数据保存线程
    data_saver_thread = threading.Thread(target=save_data, args=(save_data_queue, process_event))
    data_saver_thread.start()

# 启动工作进程，传递 save_data_queue 参数
    for _ in range(processes_count):
        process = multiprocessing.Process(target=worker_process, args=(data_queue, save_data_queue))
        processes.append(process)
        process.start()

# 等待数据加载线程完成
    data_loader_thread.join()

# 等待所有进程完成
    for process in processes:
        process.join()

# 所有进程完成后设置事件标志
    process_event.set()

# 等待数据保存线程完成
    data_saver_thread.join()

print("程序结束")
```

数据传入和传出都用的消息队列，保证数据安全性。

最后修改：2025 年 03 月 12 日