forked from zaclys/searxng
117 lines
3.3 KiB
Python
117 lines
3.3 KiB
Python
# 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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