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			122 lines
		
	
	
		
			3.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			122 lines
		
	
	
		
			3.5 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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| 
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| from json import loads
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| from time import time
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| 
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| from searx.poolrequests import get as http_get
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| from searx.url_utils import urlencode
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| 
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| # search-url
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| url = 'https://www.wolframalpha.com/'
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| 
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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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| 
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| referer_url = url + 'input/?{query}'
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| 
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| token = {'value': '',
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|          'last_updated': None}
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| 
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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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| 
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| 
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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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| 
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| 
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| def init():
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|     obtain_token()
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| 
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| 
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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'] or 0) > 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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| 
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|     return params
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| 
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| 
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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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| 
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|     resp_json = loads(resp.text)
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| 
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|     if not resp_json['queryresult']['success']:
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|         return []
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| 
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|     # TODO handle resp_json['queryresult']['assumptions']
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|     result_chunks = []
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|     infobox_title = ""
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|     result_content = ""
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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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|         pod_is_result = pod.get('primary', None)
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| 
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|         if 'subpods' not in pod:
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|             continue
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| 
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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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| 
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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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| 
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|                 if pod_is_result or not result_content:
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|                     if pod_id != "Input":
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|                         result_content = pod_title + ': ' + subpod['plaintext']
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| 
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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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| 
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|     if not result_chunks:
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|         return []
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| 
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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']}]})
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| 
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|     results.append({'url': resp.request.headers['Referer'],
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|                     'title': 'Wolfram|Alpha (' + infobox_title + ')',
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|                     'content': result_content})
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| 
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|     return results
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