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90 lines
2.5 KiB
Python
90 lines
2.5 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
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# lint: pylint
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"""SolidTorrents
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"""
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from datetime import datetime
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from urllib.parse import urlencode
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import random
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from lxml import html
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from searx.utils import (
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extract_text,
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eval_xpath,
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eval_xpath_getindex,
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eval_xpath_list,
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get_torrent_size,
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)
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about = {
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"website": 'https://www.solidtorrents.net/',
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"wikidata_id": None,
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"official_api_documentation": None,
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"use_official_api": False,
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"require_api_key": False,
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"results": 'HTML',
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}
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categories = ['files']
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paging = True
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# base_url can be overwritten by a list of URLs in the settings.yml
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base_url = 'https://solidtorrents.net'
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def request(query, params):
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if isinstance(base_url, list):
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params['base_url'] = random.choice(base_url)
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else:
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params['base_url'] = base_url
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search_url = params['base_url'] + '/search?{query}'
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page = (params['pageno'] - 1) * 20
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query = urlencode({'q': query, 'page': page})
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params['url'] = search_url.format(query=query)
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return params
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def response(resp):
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results = []
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dom = html.fromstring(resp.text)
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for result in eval_xpath(dom, '//div[contains(@class, "search-result")]'):
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a = eval_xpath_getindex(result, './div/h5/a', 0, None)
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if a is None:
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continue
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title = extract_text(a)
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url = eval_xpath_getindex(a, '@href', 0, None)
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categ = eval_xpath(result, './div//a[contains(@class, "category")]')
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metadata = extract_text(categ)
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stats = eval_xpath_list(result, './div//div[contains(@class, "stats")]/div', min_len=5)
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n, u = extract_text(stats[1]).split()
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filesize = get_torrent_size(n, u)
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leech = extract_text(stats[2])
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seed = extract_text(stats[3])
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torrentfile = eval_xpath_getindex(result, './div//a[contains(@class, "dl-torrent")]/@href', 0, None)
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magnet = eval_xpath_getindex(result, './div//a[contains(@class, "dl-magnet")]/@href', 0, None)
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params = {
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'seed': seed,
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'leech': leech,
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'title': title,
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'url': resp.search_params['base_url'] + url,
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'filesize': filesize,
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'magnetlink': magnet,
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'torrentfile': torrentfile,
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'metadata': metadata,
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'template': "torrent.html",
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}
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date_str = extract_text(stats[4])
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try:
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params['publishedDate'] = datetime.strptime(date_str, '%b %d, %Y')
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except ValueError:
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pass
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results.append(params)
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return results
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