有哪几种语言做的网站软文写作是什么
前言
一个mitmproxy代理服务应用，作用是监听系统流量，并自动下载可能的video媒体文件到本地。
如果你没有安装mitmproxy或没有做完准备工作，请参考我的这篇文章：
python：mitmproxy代理服务搭建-CSDN博客
文件架构目录
源码
import os
import time
import threading
import requests
from mitmproxy import httpSAME_DOWNLOADS = []# 设置代理
proxies = {'http': 'http://127.0.0.1:9099','https': 'http://127.0.0.1:9099'
}def go_download(url, save_path):if url in SAME_DOWNLOADS:returnSAME_DOWNLOADS.append(url)r = requests.get(url, proxies=proxies, verify=False)with open(save_path, 'wb') as f:f.write(r.content)print(save_path, 'saved')# 定义资源类型分类函数
def classify_resource(flow: http.HTTPFlow):url = flow.request.urlcontent_type = flow.response.headers.get('Content-Type', '')# 媒体资源if any(ext in url for ext in ['.mp4', '.avi', '.mov', '.mkv', '.mp3', '.wav']):extensions = ['.mp4', '.avi', '.mov', '.mkv', '.mp3', '.wav']for ext in extensions:if ext in url:filename = str(int(time.time()) * 1000) + extprint(filename, 'downloading')a = threading.Thread(target=go_download, args=(url, os.path.join('save/video', filename)))a.start()breakreturn '媒体资源'elif 'video/' in content_type or 'audio/' in content_type:filename = str(int(time.time()) * 1000) + '.' + content_type.split('/')[-1]print(filename, 'downloading')a = threading.Thread(target=go_download, args=(url, os.path.join('save/video', filename)))a.start()return '媒体资源'# 图片资源if any(ext in url for ext in ['.jpg', '.jpeg', '.png', '.gif', '.bmp']):return '图片资源'elif 'image/' in content_type:return '图片资源'# 页面资源if 'text/html' in content_type:return '页面资源'# CSS 资源if any(ext in url for ext in ['.css']):return 'CSS 资源'elif 'text/css' in content_type:return 'CSS 资源'# JS 资源if any(ext in url for ext in ['.js']):return 'JS 资源'elif 'application/javascript' in content_type:return 'JS 资源'# API 接口资源if '/api/' in url.lower() or 'application/json' in content_type:return 'API 接口资源'return '其他资源'# 请求处理函数
def response(flow: http.HTTPFlow) -> None:if flow.response:resource_type = classify_resource(flow)print(f"URL: {flow.request.url}")print(f"Resource Type: {resource_type}")print("-" * 50)# 将资源类型添加到请求的注释中flow.request.comment = resource_type
运行指令：
mitmdump -s simply_run.py -p 9099结果展示：
