1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
|
# SPDX-License-Identifier: AGPL-3.0-or-later
"""
Wolfram|Alpha (Science)
"""
from json import loads
from time import time
from urllib.parse import urlencode
from searx.poolrequests import get as http_get
# about
about = {
"website": 'https://www.wolframalpha.com/',
"wikidata_id": 'Q207006',
"official_api_documentation": 'https://products.wolframalpha.com/api/',
"use_official_api": False,
"require_api_key": False,
"results": 'JSON',
}
# search-url
url = 'https://www.wolframalpha.com/'
search_url = url + 'input/json.jsp'\
'?async=false'\
'&banners=raw'\
'&debuggingdata=false'\
'&format=image,plaintext,imagemap,minput,moutput'\
'&formattimeout=2'\
'&{query}'\
'&output=JSON'\
'&parsetimeout=2'\
'&proxycode={token}'\
'&scantimeout=0.5'\
'&sponsorcategories=true'\
'&statemethod=deploybutton'
referer_url = url + 'input/?{query}'
token = {'value': '',
'last_updated': None}
# pods to display as image in infobox
# this pods do return a plaintext, but they look better and are more useful as images
image_pods = {'VisualRepresentation',
'Illustration',
'Symbol'}
# seems, wolframalpha resets its token in every hour
def obtain_token():
update_time = time() - (time() % 3600)
try:
token_response = http_get('https://www.wolframalpha.com/input/api/v1/code?ts=9999999999999999999', timeout=2.0)
token['value'] = loads(token_response.text)['code']
token['last_updated'] = update_time
except:
pass
return token
def init(engine_settings=None):
obtain_token()
# do search-request
def request(query, params):
# obtain token if last update was more than an hour
if time() - (token['last_updated'] or 0) > 3600:
obtain_token()
params['url'] = search_url.format(query=urlencode({'input': query}), token=token['value'])
params['headers']['Referer'] = referer_url.format(query=urlencode({'i': query}))
return params
# get response from search-request
def response(resp):
results = []
resp_json = loads(resp.text)
if not resp_json['queryresult']['success']:
return []
# TODO handle resp_json['queryresult']['assumptions']
result_chunks = []
infobox_title = ""
result_content = ""
for pod in resp_json['queryresult']['pods']:
pod_id = pod.get('id', '')
pod_title = pod.get('title', '')
pod_is_result = pod.get('primary', None)
if 'subpods' not in pod:
continue
if pod_id == 'Input' or not infobox_title:
infobox_title = pod['subpods'][0]['plaintext']
for subpod in pod['subpods']:
if subpod['plaintext'] != '' and pod_id not in image_pods:
# append unless it's not an actual answer
if subpod['plaintext'] != '(requires interactivity)':
result_chunks.append({'label': pod_title, 'value': subpod['plaintext']})
if pod_is_result or not result_content:
if pod_id != "Input":
result_content = pod_title + ': ' + subpod['plaintext']
elif 'img' in subpod:
result_chunks.append({'label': pod_title, 'image': subpod['img']})
if not result_chunks:
return []
results.append({'infobox': infobox_title,
'attributes': result_chunks,
'urls': [{'title': 'Wolfram|Alpha', 'url': resp.request.headers['Referer']}]})
results.append({'url': resp.request.headers['Referer'],
'title': 'Wolfram|Alpha (' + infobox_title + ')',
'content': result_content})
return results
|