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							# Wolfram|Alpha (Science)
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							#
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							# @website     https://www.wolframalpha.com/
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							# @provide-api yes (https://api.wolframalpha.com/v2/)
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							#
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							# @using-api   no
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							# @results     JSON
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							# @stable      no
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							# @parse       url, infobox
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							from cgi import escape
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							from json import loads
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							from time import time
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							from urllib import urlencode
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							from lxml.etree import XML
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							from searx.poolrequests import get as http_get
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							# search-url
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							url = 'https://www.wolframalpha.com/'
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							search_url = url + 'input/json.jsp'\
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							    '?async=false'\
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							    '&banners=raw'\
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							    '&debuggingdata=false'\
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							    '&format=image,plaintext,imagemap,minput,moutput'\
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							    '&formattimeout=2'\
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							    '&{query}'\
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							    '&output=JSON'\
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							    '&parsetimeout=2'\
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							    '&proxycode={token}'\
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							    '&scantimeout=0.5'\
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							    '&sponsorcategories=true'\
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							    '&statemethod=deploybutton'
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							referer_url = url + 'input/?{query}'
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							token = {'value': '',
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							         'last_updated': None}
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							# pods to display as image in infobox
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							# this pods do return a plaintext, but they look better and are more useful as images
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							image_pods = {'VisualRepresentation',
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							              'Illustration',
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							              'Symbol'}
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							# seems, wolframalpha resets its token in every hour
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							def obtain_token():
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							    update_time = time() - (time() % 3600)
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							    try:
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							        token_response = http_get('https://www.wolframalpha.com/input/api/v1/code?ts=9999999999999999999', timeout=2.0)
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							        token['value'] = loads(token_response.text)['code']
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							        token['last_updated'] = update_time
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							    except:
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							        pass
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							    return token
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							obtain_token()
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							# do search-request
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							def request(query, params):
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							    # obtain token if last update was more than an hour
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							    if time() - token['last_updated'] > 3600:
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							        obtain_token()
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							    params['url'] = search_url.format(query=urlencode({'input': query}), token=token['value'])
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							    params['headers']['Referer'] = referer_url.format(query=urlencode({'i': query}))
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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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							    results = []
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							    resp_json = loads(resp.text)
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							    if not resp_json['queryresult']['success']:
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							        return []
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							    # TODO handle resp_json['queryresult']['assumptions']
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							    result_chunks = []
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							    infobox_title = None
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							    for pod in resp_json['queryresult']['pods']:
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							        pod_id = pod.get('id', '')
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							        pod_title = pod.get('title', '')
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							        if 'subpods' not in pod:
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							            continue
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							        if pod_id == 'Input' or not infobox_title:
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							            infobox_title = pod['subpods'][0]['plaintext']
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							        for subpod in pod['subpods']:
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							            if subpod['plaintext'] != '' and pod_id not in image_pods:
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							                # append unless it's not an actual answer
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							                if subpod['plaintext'] != '(requires interactivity)':
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							                    result_chunks.append({'label': pod_title, 'value': subpod['plaintext']})
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							            elif 'img' in subpod:
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							                result_chunks.append({'label': pod_title, 'image': subpod['img']})
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							    if not result_chunks:
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							        return []
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							    results.append({'infobox': infobox_title,
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							                    'attributes': result_chunks,
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							                    'urls': [{'title': 'Wolfram|Alpha', 'url': resp.request.headers['Referer'].decode('utf8')}]})
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							    results.append({'url': resp.request.headers['Referer'].decode('utf8'),
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							                    'title': 'Wolfram|Alpha',
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							                    'content': infobox_title})
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							    return results
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