forked from zaclys/searxng
[enh] infobox for wolframalpha
TODO:
- infobox styles
- unit tests
ISSUES:
- no_api version needs to re-call server for additional pods, such
as plots. therefore, it's even slower than before. comment out the
part that calls get_async_pod if requests reach timeout or increase
timeout in settings.yml.
This commit is contained in:
a01200356
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@ -1,40 +1,56 @@
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# Wolfram Alpha (Maths)
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# Wolfram Alpha (Science)
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#
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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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# @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 yes
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# @results XML
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# @stable yes
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# @parse result
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# @parse url, infobox
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from urllib import urlencode
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from lxml import etree
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from re import search
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# search-url
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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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site_url = 'http://www.wolframalpha.com/input/?{query}'
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search_url = 'https://api.wolframalpha.com/v2/query?appid={api_key}&{query}'
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site_url = 'https://www.wolframalpha.com/input/?{query}'
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api_key = '' # defined in settings.yml
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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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input_xpath = '//pod[starts-with(attribute::title, "Input")]/subpod/plaintext'
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pods_xpath = '//pod'
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subpods_xpath = './subpod'
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pod_title_xpath = './@title'
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plaintext_xpath = './plaintext'
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image_xpath = './img'
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img_src_xpath = './@src'
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img_alt_xpath = './@alt'
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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 = {'Visual representation',
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'Manipulatives illustration'}
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# do search-request
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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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api_key=api_key)
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params['headers']['Referer'] = site_url.format(query=urlencode({'i': query}))
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return params
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# replace private user area characters to make text legible
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def replace_pua_chars(text):
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pua_chars = {u'\uf74c': 'd',
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pua_chars = {u'\uf522': u'\u2192',
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u'\uf7b1': u'\u2115',
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u'\uf7b4': u'\u211a',
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u'\uf7b5': u'\u211d',
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u'\uf7bd': u'\u2124',
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u'\uf74c': 'd',
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u'\uf74d': u'\u212f',
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u'\uf74e': 'i',
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u'\uf7d9': '='}
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@ -55,23 +71,45 @@ def response(resp):
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if search_results.xpath(failure_xpath):
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return []
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# parse answers
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answers = search_results.xpath(answer_xpath)
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if answers:
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for answer in answers:
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answer = replace_pua_chars(answer.text)
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infobox_title = search_results.xpath(input_xpath)
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if infobox_title:
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infobox_title = replace_pua_chars(infobox_title[0].text)
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results.append({'answer': answer})
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pods = search_results.xpath(pods_xpath)
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result_chunks = []
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for pod in pods:
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pod_title = replace_pua_chars(pod.xpath(pod_title_xpath)[0])
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# if there's no input section in search_results, check if answer has the input embedded (before their "=" sign)
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try:
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query_input = search_results.xpath(input_xpath)[0].text
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except IndexError:
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query_input = search(u'([^\uf7d9]+)', answers[0].text).group(1)
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subpods = pod.xpath(subpods_xpath)
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if not subpods:
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continue
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for subpod in subpods:
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content = subpod.xpath(plaintext_xpath)[0].text
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image = subpod.xpath(image_xpath)
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if content and pod_title not in image_pods:
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content = replace_pua_chars(content)
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result_chunks.append({'label': pod_title, 'value': content})
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# if there's no input pod, infobox_title is content of first pod
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if not infobox_title:
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infobox_title = content
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elif image:
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result_chunks.append({'label': pod_title,
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'image': {'src': image[0].xpath(img_src_xpath)[0],
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'alt': image[0].xpath(img_alt_xpath)[0]}})
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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']}]})
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# append link to site
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result_url = site_url.format(query=urlencode({'i': query_input.encode('utf-8')}))
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results.append({'url': result_url,
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'title': query_input + " - Wolfram|Alpha"})
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results.append({'url': resp.request.headers['Referer'],
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'title': 'Wolfram|Alpha',
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'content': infobox_title})
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return results
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@ -1,23 +1,23 @@
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# WolframAlpha (Maths)
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# Wolfram|Alpha (Science)
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#
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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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# @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 HTML
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# @results JSON
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# @stable no
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# @parse answer
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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/?{query}'
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search_url = url + 'input/json.jsp'\
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'?async=true'\
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@ -33,13 +33,25 @@ search_url = url + 'input/json.jsp'\
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'&sponsorcategories=true'\
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'&statemethod=deploybutton'
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# xpath variables
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scripts_xpath = '//script'
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title_xpath = '//title'
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failure_xpath = '//p[attribute::class="pfail"]'
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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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# xpath variables
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success_xpath = '/pod[attribute::error="false"]'
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plaintext_xpath = './plaintext'
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title_xpath = './@title'
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image_xpath = './img'
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img_src_xpath = './img/@src'
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img_alt_xpath = './img/@alt'
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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 = {'Visual representation',
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'Manipulatives 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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@ -62,13 +74,42 @@ def request(query, params):
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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'] = 'https://www.wolframalpha.com/input/?i=' + query
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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 additional pod
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# NOTE: this makes an additional requests to server, so the response will take longer and might reach timeout
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def get_async_pod(url):
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pod = {'subpods': []}
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try:
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resp = http_get(url, timeout=2.0)
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resp_pod = XML(resp.content)
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if resp_pod.xpath(success_xpath):
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for subpod in resp_pod:
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plaintext = subpod.xpath(plaintext_xpath)[0].text
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if plaintext:
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pod['subpods'].append({'title': subpod.xpath(title_xpath)[0],
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'plaintext': plaintext})
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elif subpod.xpath(image_xpath):
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pod['subpods'].append({'title': subpod.xpath(title_xpath)[0],
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'plaintext': '',
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'img': {'src': subpod.xpath(img_src_xpath)[0],
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'alt': subpod.xpath(img_alt_xpath)[0]}})
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except:
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pass
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return pod
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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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@ -76,20 +117,45 @@ def response(resp):
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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_title = pod.get('title', '')
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if 'subpods' not in pod:
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continue
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# comment this section if your requests always reach timeout
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if pod['async']:
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result = get_async_pod(pod['async'])
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if result:
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pod = result
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else:
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continue
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# infobox title is input or text content on first pod
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if pod_title.startswith('Input') or not infobox_title:
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try:
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infobox_title = pod['subpods'][0]['plaintext']
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except:
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infobox_title = ''
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pass
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for subpod in pod['subpods']:
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if 'img' in subpod:
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result_chunks.append(u'<p>{0}<br /><img src="{1}" alt="{2}" /></p>'
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.format(escape(pod_title or subpod['img']['alt']),
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escape(subpod['img']['src']),
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escape(subpod['img']['alt'])))
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if subpod['plaintext'] != '' and pod_title 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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return [{'url': resp.request.headers['Referer'].decode('utf-8'),
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'title': 'Wolframalpha',
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'content': ''.join(result_chunks)}]
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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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results.append({'url': resp.request.headers['Referer'],
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'title': 'Wolfram|Alpha',
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'content': infobox_title})
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return results
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@ -310,10 +310,10 @@ engines:
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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: 'apikey' # required!
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# engine : wolframalpha_api
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# api_key: '5952JX-X52L3VKWT8' # required!
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engine : wolframalpha_noapi
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timeout: 6.0
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timeout: 10.0
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categories : science
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#The blekko technology and team have joined IBM Watson! -> https://blekko.com/
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