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							"""
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							 Wikipedia (Web)
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							 @website     https://{language}.wikipedia.org
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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 json import loads
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							from lxml.html import fromstring
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							from searx.url_utils import quote, urlencode
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							from searx.utils import match_language
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							# search-url
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							base_url = u'https://{language}.wikipedia.org/'
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							search_url = base_url + u'w/api.php?'\
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							    'action=query'\
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							    '&format=json'\
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							    '&{query}'\
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							    '&prop=extracts|pageimages|pageprops'\
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							    '&ppprop=disambiguation'\
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							    '&exintro'\
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							    '&explaintext'\
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							    '&pithumbsize=300'\
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							    '&redirects'
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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 = u'{0}|{1}'.format(query.decode('utf-8'), query.decode('utf-8').title()).encode('utf-8')
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							    params['url'] = search_url.format(query=urlencode({'titles': query}),
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							                                      language=url_lang(params['language']))
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							    return params
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							# get first meaningful paragraph
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							# this should filter out disambiguation pages and notes above first paragraph
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							# "magic numbers" were obtained by fine tuning
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							def extract_first_paragraph(content, title, image):
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							    first_paragraph = None
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							    failed_attempts = 0
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							    for paragraph in content.split('\n'):
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							        starts_with_title = paragraph.lower().find(title.lower(), 0, len(title) + 35)
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							        length = len(paragraph)
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							        if length >= 200 or (starts_with_title >= 0 and (image or length >= 150)):
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							            first_paragraph = paragraph
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							            break
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							        failed_attempts += 1
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							        if failed_attempts > 3:
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							            return None
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							    return first_paragraph
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							# get response from search-request
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							def response(resp):
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							    results = []
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							    search_result = loads(resp.text)
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							    # wikipedia article's unique id
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							    # first valid id is assumed to be the requested article
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							    if 'pages' not in search_result['query']:
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							        return results
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							    for article_id in search_result['query']['pages']:
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							        page = search_result['query']['pages'][article_id]
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							        if int(article_id) > 0:
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							            break
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							    if int(article_id) < 0 or 'disambiguation' in page.get('pageprops', {}):
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							        return []
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							    title = page.get('title')
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							    image = page.get('thumbnail')
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							    if image:
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							        image = image.get('source')
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							    extract = page.get('extract')
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							    summary = extract_first_paragraph(extract, title, image)
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							    summary = summary.replace('() ', '')
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							    # link to wikipedia article
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							    wikipedia_link = base_url.format(language=url_lang(resp.search_params['language'])) \
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							        + 'wiki/' + quote(title.replace(' ', '_').encode('utf8'))
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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': summary,
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							                    'img_src': image,
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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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