使用Python实现BT种子和磁力链接的相互转换
bt种子文件转换为磁力链接
BT种子文件相对磁力链来说存储不方便,而且在网站上存放BT文件容易引起版权纠纷,而磁力链相对来说则风险小一些。而且很多论坛或者网站限制了文件上传的类型,分享一个BT种子还需要改文件后缀或者压缩一次,其他人需要下载时候还要额外多一步下载种子的操作。
所以将BT种子转换为占用空间更小,分享更方便的磁力链还是有挺大好处的。
首先一个方案是使用bencode这个插件,通过pip方式安装或者自行下载源文件https://pypi.python.org/pypi/bencode/1.0通过python setup.py install方式安装均可。
相应的将BT种子转换为磁力链代码为:
import bencode, hashlib, base64, urllib torrent = open('ubuntu-12.04.2-server-amd64.iso.torrent', 'rb').read() metadata = bencode.bdecode(torrent) hashcontents = bencode.bencode(metadata['info']) digest = hashlib.sha1(hashcontents).digest() b32hash = base64.b32encode(digest) params = {'xt': 'urn:btih:%s' % b32hash, 'dn': metadata['info']['name'], 'tr': metadata['announce'], 'xl': metadata['info']['length']} paramstr = urllib.urlencode(params) magneturi = 'magnet:?%s' % paramstr print magneturi
还有另外一个效率相对较高,而且更方便的方案是安装libtorrent,在ubuntu只需要apt-get install python-libtorrent即可对应转换磁力链的代码为:
import libtorrent as bt info = bt.torrent_info('test.torrent') print "magnet:?xt=urn:btih:%s&dn=%s" % (info.info_hash(), info.name())
转换磁力链接为bt种子文件
下面来看一个反过程,将磁力链转化为种子文件。
1、需要先安装python-libtorrent包 ,在ubuntu环境下,可以通过以下指令完成安装:
# sudo apt-get install python-libtorrent
2、代码如下:
#!/usr/bin/env python import shutil import tempfile import os.path as pt import sys import libtorrent as lt from time import sleep def magnet2torrent(magnet, output_name=None): if output_name and \ not pt.isdir(output_name) and \ not pt.isdir(pt.dirname(pt.abspath(output_name))): print("Invalid output folder: " + pt.dirname(pt.abspath(output_name))) print("") sys.exit(0) tempdir = tempfile.mkdtemp() ses = lt.session() params = { 'save_path': tempdir, 'duplicate_is_error': True, 'storage_mode': lt.storage_mode_t(2), 'paused': False, 'auto_managed': True, 'duplicate_is_error': True } handle = lt.add_magnet_uri(ses, magnet, params) print("Downloading Metadata (this may take a while)") while (not handle.has_metadata()): try: sleep(1) except KeyboardInterrupt: print("Aborting...") ses.pause() print("Cleanup dir " + tempdir) shutil.rmtree(tempdir) sys.exit(0) ses.pause() print("Done") torinfo = handle.get_torrent_info() torfile = lt.create_torrent(torinfo) output = pt.abspath(torinfo.name() + ".torrent") if output_name: if pt.isdir(output_name): output = pt.abspath(pt.join( output_name, torinfo.name() + ".torrent")) elif pt.isdir(pt.dirname(pt.abspath(output_name))): output = pt.abspath(output_name) print("Saving torrent file here : " + output + " ...") torcontent = lt.bencode(torfile.generate()) f = open(output, "wb") f.write(lt.bencode(torfile.generate())) f.close() print("Saved! Cleaning up dir: " + tempdir) ses.remove_torrent(handle) shutil.rmtree(tempdir) return output def showHelp(): print("") print("USAGE: " + pt.basename(sys.argv[0]) + " MAGNET [OUTPUT]") print(" MAGNET\t- the magnet url") print(" OUTPUT\t- the output torrent file name") print("") def main(): if len(sys.argv) < 2: showHelp() sys.exit(0) magnet = sys.argv[1] output_name = None if len(sys.argv) >= 3: output_name = sys.argv[2] magnet2torrent(magnet, output_name) if __name__ == "__main__": main()
3、用法如下
# python Magnet_To_Torrent2.py <magnet link> [torrent file]

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.
