searxngRebrandZaclys/searx/engines/wolframalpha_noapi.py

# Wolfram|Alpha (Science)
#
# @website     https://www.wolframalpha.com/
# @provide-api yes (https://api.wolframalpha.com/v2/)
#
# @using-api   no
# @results     JSON
# @stable      no
# @parse       url, infobox

from cgi import escape
from json import loads
from time import time
from urllib import urlencode
from lxml.etree import XML

from searx.poolrequests import get as http_get

# 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


obtain_token()


# do search-request
def request(query, params):
    # obtain token if last update was more than an hour
    if time() - token['last_updated'] > 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'].decode('utf8')}]})

    results.append({'url': resp.request.headers['Referer'].decode('utf8'),
                    'title': 'Wolfram|Alpha (' + infobox_title + ')',
                    'content': result_content})

    return results