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- # SPDX-License-Identifier: AGPL-3.0-or-later
- """Google (Scholar)
- For detailed description of the *REST-full* API see: `Query Parameter
- Definitions`_.
- .. _Query Parameter Definitions:
- https://developers.google.com/custom-search/docs/xml_results#WebSearch_Query_Parameter_Definitions
- """
- # pylint: disable=invalid-name, missing-function-docstring
- from urllib.parse import urlencode
- from datetime import datetime
- from random import random
- from lxml import html
- from searx import logger
- from searx.utils import (
- eval_xpath,
- eval_xpath_list,
- extract_text,
- )
- from searx.engines.google import (
- get_lang_info,
- time_range_dict,
- detect_google_sorry,
- )
- # pylint: disable=unused-import
- from searx.engines.google import (
- supported_languages_url,
- _fetch_supported_languages,
- )
- # pylint: enable=unused-import
- # about
- about = {
- "website": 'https://scholar.google.com',
- "wikidata_id": 'Q494817',
- "official_api_documentation": 'https://developers.google.com/custom-search',
- "use_official_api": False,
- "require_api_key": False,
- "results": 'HTML',
- }
- # engine dependent config
- categories = ['science']
- paging = True
- language_support = True
- use_locale_domain = True
- time_range_support = True
- safesearch = False
- logger = logger.getChild('google scholar')
- def time_range_url(params):
- """Returns a URL query component for a google-Scholar time range based on
- ``params['time_range']``. Google-Scholar does only support ranges in years.
- To have any effect, all the Searx ranges (*day*, *week*, *month*, *year*)
- are mapped to *year*. If no range is set, an empty string is returned.
- Example::
- &as_ylo=2019
- """
- # as_ylo=2016&as_yhi=2019
- ret_val = ''
- if params['time_range'] in time_range_dict:
- ret_val= urlencode({'as_ylo': datetime.now().year -1 })
- return '&' + ret_val
- def request(query, params):
- """Google-Scholar search request"""
- offset = (params['pageno'] - 1) * 10
- lang_info = get_lang_info(
- # pylint: disable=undefined-variable
- # params, {}, language_aliases
- params, supported_languages, language_aliases, False
- )
- # subdomain is: scholar.google.xy
- lang_info['subdomain'] = lang_info['subdomain'].replace("www.", "scholar.")
- query_url = (
- 'https://'
- + lang_info['subdomain']
- + '/scholar'
- + "?"
- + urlencode({'q': query, **lang_info['params'], 'ie': "utf8", 'oe': "utf8", 'start': offset, 'ucbcb': 1})
- )
- query_url += time_range_url(params)
- logger.debug("query_url --> %s", query_url)
- params['url'] = query_url
- logger.debug("HTTP header Accept-Language --> %s", lang_info.get('Accept-Language'))
- params['cookies']['CONSENT'] = "PENDING+" + str(random()*100)
- params['headers'].update(lang_info['headers'])
- params['headers']['Accept'] = (
- 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8'
- )
- #params['google_subdomain'] = subdomain
- return params
- def response(resp):
- """Get response from google's search request"""
- results = []
- detect_google_sorry(resp)
- # which subdomain ?
- # subdomain = resp.search_params.get('google_subdomain')
- # convert the text to dom
- dom = html.fromstring(resp.text)
- # parse results
- for result in eval_xpath_list(dom, '//div[@class="gs_ri"]'):
- title = extract_text(eval_xpath(result, './h3[1]//a'))
- if not title:
- # this is a [ZITATION] block
- continue
- url = eval_xpath(result, './h3[1]//a/@href')[0]
- content = extract_text(eval_xpath(result, './div[@class="gs_rs"]')) or ''
- pub_info = extract_text(eval_xpath(result, './div[@class="gs_a"]'))
- if pub_info:
- content += "[%s]" % pub_info
- pub_type = extract_text(eval_xpath(result, './/span[@class="gs_ct1"]'))
- if pub_type:
- title = title + " " + pub_type
- results.append({
- 'url': url,
- 'title': title,
- 'content': content,
- })
- # parse suggestion
- for suggestion in eval_xpath(dom, '//div[contains(@class, "gs_qsuggest_wrap")]//li//a'):
- # append suggestion
- results.append({'suggestion': extract_text(suggestion)})
- for correction in eval_xpath(dom, '//div[@class="gs_r gs_pda"]/a'):
- results.append({'correction': extract_text(correction)})
- return results
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