mirror of
https://github.com/searxng/searxng
synced 2024-10-30 21:20:28 +00:00
134 lines
3.7 KiB
Python
134 lines
3.7 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
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"""
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Wolfram|Alpha (Science)
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"""
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from json import loads
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from time import time
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from urllib.parse import urlencode
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from searx.network import get as http_get
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# about
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about = {
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"website": 'https://www.wolframalpha.com/',
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"wikidata_id": 'Q207006',
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"official_api_documentation": 'https://products.wolframalpha.com/api/',
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"use_official_api": False,
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"require_api_key": False,
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"results": 'JSON',
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}
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# search-url
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url = 'https://www.wolframalpha.com/'
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search_url = (
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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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token = {'value': '', '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', 'Illustration', '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: # pylint: disable=bare-except
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pass
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return token
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def init(engine_settings=None): # pylint: disable=unused-argument
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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'] 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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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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# 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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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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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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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(
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{
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'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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)
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results.append(
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{
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'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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)
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return results
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