mirror of
https://github.com/correl/Transmission-XBMC.git
synced 2024-11-28 11:09:59 +00:00
73 lines
2.5 KiB
Python
73 lines
2.5 KiB
Python
import re
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import socket
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from urllib2 import urlopen
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from BeautifulSoup import BeautifulSoup, BeautifulStoneSoup
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socket.setdefaulttimeout(15)
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class Search:
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def __init__(self):
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return NotImplemented
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def search(terms):
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return NotImplemented
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class Mininova(Search):
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def __init__(self):
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self.search_uri = 'http://www.mininova.org/rss/%s'
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def search(self, terms):
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torrents = []
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url = self.search_uri % '+'.join(terms.split(' '))
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f = urlopen(url)
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soup = BeautifulStoneSoup(f.read())
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for item in soup.findAll('item'):
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(seeds, leechers) = re.findall('Ratio: (\d+) seeds, (\d+) leechers', item.description.text)[0]
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torrents.append({
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'url': item.enclosure['url'],
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'name': item.title.text,
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'seeds': int(seeds),
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'leechers': int(leechers),
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})
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return torrents
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class TPB(Search):
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def __init__(self):
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self.search_uri = 'http://thepiratebay.org/search/%s/'
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def search(self, terms):
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torrents = []
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url = self.search_uri % '+'.join(terms.split(' '))
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f = urlopen(url)
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soup = BeautifulSoup(f.read())
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for details in soup.findAll('a', {'class': 'detLink'}):
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name = details.text
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url = details.findNext('a', {'href': re.compile('^http:\/\/torrents\.thepiratebay\.org\/')})['href']
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td = details.findNext('td')
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seeds = int(td.text)
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td = td.findNext('td')
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leechers = int(td.text)
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torrents.append({
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'url': url,
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'name': name,
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'seeds': seeds,
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'leechers': leechers,
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})
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return torrents
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class TorrentReactor(Search):
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def __init__(self):
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self.search_uri = 'http://www.torrentreactor.net/rss.php?search=%s'
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def search(self, terms):
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torrents = []
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url = self.search_uri % '+'.join(terms.split(' '))
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f = urlopen(url)
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soup = BeautifulStoneSoup(f.read())
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for item in soup.findAll('item'):
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(seeds, leechers) = re.findall('Status: (\d+) seeders, (\d+) leecher', item.description.text)[0]
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torrents.append({
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'url': item.enclosure['url'],
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'name': item.title.text,
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'seeds': int(seeds),
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'leechers': int(leechers),
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})
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return torrents
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if __name__ == '__main__':
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s = TPB()
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results = s.search('zettai')
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