mirror of
https://github.com/searxng/searxng
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89 lines
2.6 KiB
Python
89 lines
2.6 KiB
Python
"""
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Wikipedia (Web)
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@website https://en.wikipedia.org/api/rest_v1/
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@provide-api yes
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@using-api yes
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@results JSON
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@stable yes
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@parse url, infobox
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"""
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from urllib.parse import quote
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from json import loads
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from lxml.html import fromstring
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from searx.utils import match_language, searx_useragent
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# search-url
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search_url = 'https://{language}.wikipedia.org/api/rest_v1/page/summary/{title}'
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supported_languages_url = 'https://meta.wikimedia.org/wiki/List_of_Wikipedias'
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# set language in base_url
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def url_lang(lang):
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lang_pre = lang.split('-')[0]
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if lang_pre == 'all' or lang_pre not in supported_languages and lang_pre not in language_aliases:
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return 'en'
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return match_language(lang, supported_languages, language_aliases).split('-')[0]
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# do search-request
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def request(query, params):
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if query.islower():
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query = query.title()
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params['url'] = search_url.format(title=quote(query),
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language=url_lang(params['language']))
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params['headers']['User-Agent'] = searx_useragent()
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return params
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# get response from search-request
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def response(resp):
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if not resp.ok:
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return []
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results = []
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api_result = loads(resp.text)
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# skip disambiguation pages
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if api_result['type'] != 'standard':
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return []
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title = api_result['title']
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wikipedia_link = api_result['content_urls']['desktop']['page']
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results.append({'url': wikipedia_link, 'title': title})
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results.append({'infobox': title,
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'id': wikipedia_link,
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'content': api_result.get('extract', ''),
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'img_src': api_result.get('thumbnail', {}).get('source'),
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'urls': [{'title': 'Wikipedia', 'url': wikipedia_link}]})
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return results
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# get supported languages from their site
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def _fetch_supported_languages(resp):
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supported_languages = {}
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dom = fromstring(resp.text)
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tables = dom.xpath('//table[contains(@class,"sortable")]')
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for table in tables:
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# exclude header row
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trs = table.xpath('.//tr')[1:]
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for tr in trs:
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td = tr.xpath('./td')
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code = td[3].xpath('./a')[0].text
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name = td[2].xpath('./a')[0].text
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english_name = td[1].xpath('./a')[0].text
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articles = int(td[4].xpath('./a/b')[0].text.replace(',', ''))
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# exclude languages with too few articles
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if articles >= 100:
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supported_languages[code] = {"name": name, "english_name": english_name, "articles": articles}
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return supported_languages
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