mirror of https://github.com/searx/searx
[enh] wolframalpha appends result
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@ -14,14 +14,24 @@ from lxml import etree
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# search-url
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# search-url
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base_url = 'http://api.wolframalpha.com/v2/query'
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base_url = 'http://api.wolframalpha.com/v2/query'
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search_url = base_url + '?appid={api_key}&{query}&format=plaintext'
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search_url = base_url + '?appid={api_key}&{query}&format=plaintext'
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site_url = 'http://www.wolframalpha.com/input/?{query}'
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search_query = ''
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api_key = ''
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api_key = ''
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# xpath variables
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failure_xpath = '/queryresult[attribute::success="false"]'
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answer_xpath = '//pod[attribute::primary="true"]/subpod/plaintext'
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# do search-request
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# do search-request
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def request(query, params):
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def request(query, params):
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params['url'] = search_url.format(query=urlencode({'input': query}),
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params['url'] = search_url.format(query=urlencode({'input': query}),
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api_key=api_key)
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api_key=api_key)
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# used in response
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global search_query
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search_query = query
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return params
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return params
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@ -45,19 +55,21 @@ def response(resp):
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search_results = etree.XML(resp.content)
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search_results = etree.XML(resp.content)
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# return empty array if there are no results
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# return empty array if there are no results
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if search_results.xpath('/queryresult[attribute::success="false"]'):
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if search_results.xpath(failure_xpath):
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return []
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return []
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# parse answer
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# parse answer
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answer = search_results.xpath('//pod[attribute::primary="true"]/subpod/plaintext')
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answer = search_results.xpath(answer_xpath)
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if not answer:
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if answer:
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return results
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answer = replace_pua_chars(answer[0].text)
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answer = replace_pua_chars(answer[0].text)
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# append result
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# TODO: shouldn't it bind the source too?
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results.append({'answer': answer})
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results.append({'answer': answer})
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# return results
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# result url
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result_url = site_url.format(query=urlencode({'i': search_query}))
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# append result
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results.append({'url': result_url,
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'title': search_query + ' - Wolfram|Alpha'})
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return results
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return results
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@ -1,6 +1,7 @@
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# WolframAlpha (Maths)
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# WolframAlpha (Maths)
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#
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#
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# @website http://www.wolframalpha.com/
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# @website http://www.wolframalpha.com/
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# @provide-api yes (http://api.wolframalpha.com/v2/)
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#
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#
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# @using-api no
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# @using-api no
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# @results HTML
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# @results HTML
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@ -14,12 +15,17 @@ from urllib import urlencode
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# search-url
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# search-url
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url = 'http://www.wolframalpha.com/'
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url = 'http://www.wolframalpha.com/'
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search_url = url+'input/?{query}'
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search_url = url+'input/?{query}'
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search_query = ''
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# do search-request
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# do search-request
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def request(query, params):
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def request(query, params):
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params['url'] = search_url.format(query=urlencode({'i': query}))
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params['url'] = search_url.format(query=urlencode({'i': query}))
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# used in response
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global search_query
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search_query = query
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return params
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return params
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@ -42,9 +48,7 @@ def response(resp):
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except AttributeError:
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except AttributeError:
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continue
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continue
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if not line:
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if line:
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return results
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# extract answer from json
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# extract answer from json
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answer = line[line.find('{'):line.rfind('}')+1]
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answer = line[line.find('{'):line.rfind('}')+1]
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answer = loads(answer.encode('unicode-escape'))
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answer = loads(answer.encode('unicode-escape'))
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@ -52,4 +56,12 @@ def response(resp):
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results.append({'answer': answer})
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results.append({'answer': answer})
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# failed result
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elif search('pfail', webpage):
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return results
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# append result
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results.append({'url': request(search_query, {})['url'],
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'title': search_query + ' - Wolfram|Alpha'})
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return results
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return results
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@ -300,12 +300,13 @@ engines:
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engine : vimeo
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engine : vimeo
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shortcut : vm
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shortcut : vm
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# You can use the engine using the official stable API, but you need an API key
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# See : http://products.wolframalpha.com/api/
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- name : wolframalpha
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- name : wolframalpha
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shortcut : wa
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shortcut : wa
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# You can use the engine using the official stable API, but you need an API key
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# See : http://products.wolframalpha.com/api/
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# engine : wolframalpha_api
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# api_key: 'api_key' # required!
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engine : wolframalpha_noapi
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engine : wolframalpha_noapi
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# api_key: 'apikey' # required!
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timeout: 6.0
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timeout: 6.0
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#The blekko technology and team have joined IBM Watson! -> https://blekko.com/
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#The blekko technology and team have joined IBM Watson! -> https://blekko.com/
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