Multi-threaded Task Processing, Compression, and File Writing

This function uses multi-threading to process a task queue, compresses a JSON string using zlib, encodes it with base64, and writes it to a file.

Technology Stack : Threads (threading), Queue (queue), Compression (zlib), Encoding (base64), File operations (os), Regular expressions (re), System (sys), Time (time), JSON (json)

Code Type : Multithreaded data processing and file operations

Code Difficulty : Intermediate

                
                    
import os
import re
import sys
import time
import json
import base64
import zlib
import threading
import queue

def xxx(arg1, arg2):
    # 创建一个队列
    q = queue.Queue()
    # 创建一个线程来处理队列中的任务
    def worker():
        while True:
            item = q.get()
            if item is None:
                break
            print(f"Processing {item}")
            q.task_done()
    # 启动多个线程
    for i in range(5):
        t = threading.Thread(target=worker)
        t.daemon = True
        t.start()
    # 将任务放入队列
    for item in arg1:
        q.put(item)
    # 等待所有任务完成
    q.join()

    # 使用zlib压缩数据
    data = json.dumps({"message": "Hello, world!"})
    compressed_data = zlib.compress(data.encode('utf-8'))

    # 使用base64编码压缩后的数据
    encoded_data = base64.b64encode(compressed_data)

    # 模拟文件操作
    file_path = 'output.txt'
    with open(file_path, 'w') as file:
        file.write(encoded_data.decode('utf-8'))