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https://github.com/searxng/searxng.git
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212 lines
6.1 KiB
Python
212 lines
6.1 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
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# lint: pylint
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"""Google (Scholar)
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For detailed description of the *REST-full* API see: `Query Parameter
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Definitions`_.
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.. _Query Parameter Definitions:
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https://developers.google.com/custom-search/docs/xml_results#WebSearch_Query_Parameter_Definitions
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"""
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# pylint: disable=invalid-name
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from urllib.parse import urlencode
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from datetime import datetime
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from typing import Optional
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from lxml import html
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from searx.utils import (
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eval_xpath,
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eval_xpath_getindex,
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eval_xpath_list,
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extract_text,
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)
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from searx.engines.google import (
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get_lang_info,
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time_range_dict,
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detect_google_sorry,
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)
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# pylint: disable=unused-import
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from searx.engines.google import (
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supported_languages_url,
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_fetch_supported_languages,
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)
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# pylint: enable=unused-import
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# about
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about = {
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"website": 'https://scholar.google.com',
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"wikidata_id": 'Q494817',
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"official_api_documentation": 'https://developers.google.com/custom-search',
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"use_official_api": False,
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"require_api_key": False,
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"results": 'HTML',
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}
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# engine dependent config
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categories = ['science', 'scientific publications']
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paging = True
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language_support = True
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use_locale_domain = True
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time_range_support = True
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safesearch = False
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send_accept_language_header = True
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def time_range_url(params):
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"""Returns a URL query component for a google-Scholar time range based on
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``params['time_range']``. Google-Scholar does only support ranges in years.
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To have any effect, all the Searx ranges (*day*, *week*, *month*, *year*)
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are mapped to *year*. If no range is set, an empty string is returned.
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Example::
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&as_ylo=2019
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"""
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# as_ylo=2016&as_yhi=2019
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ret_val = ''
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if params['time_range'] in time_range_dict:
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ret_val = urlencode({'as_ylo': datetime.now().year - 1})
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return '&' + ret_val
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def request(query, params):
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"""Google-Scholar search request"""
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offset = (params['pageno'] - 1) * 10
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lang_info = get_lang_info(params, supported_languages, language_aliases, False)
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# subdomain is: scholar.google.xy
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lang_info['subdomain'] = lang_info['subdomain'].replace("www.", "scholar.")
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query_url = (
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'https://'
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+ lang_info['subdomain']
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+ '/scholar'
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+ "?"
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+ urlencode({'q': query, **lang_info['params'], 'ie': "utf8", 'oe': "utf8", 'start': offset})
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)
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query_url += time_range_url(params)
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params['url'] = query_url
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params['cookies']['CONSENT'] = "YES+"
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params['headers'].update(lang_info['headers'])
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params['headers']['Accept'] = 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8'
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# params['google_subdomain'] = subdomain
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return params
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def parse_gs_a(text: Optional[str]):
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"""Parse the text written in green.
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Possible formats:
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* "{authors} - {journal}, {year} - {publisher}"
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* "{authors} - {year} - {publisher}"
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* "{authors} - {publisher}"
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"""
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if text is None or text == "":
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return None, None, None, None
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s_text = text.split(' - ')
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authors = s_text[0].split(', ')
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publisher = s_text[-1]
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if len(s_text) != 3:
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return authors, None, publisher, None
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# the format is "{authors} - {journal}, {year} - {publisher}" or "{authors} - {year} - {publisher}"
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# get journal and year
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journal_year = s_text[1].split(', ')
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# journal is optional and may contains some coma
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if len(journal_year) > 1:
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journal = ', '.join(journal_year[0:-1])
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if journal == '…':
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journal = None
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else:
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journal = None
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# year
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year = journal_year[-1]
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try:
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publishedDate = datetime.strptime(year.strip(), '%Y')
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except ValueError:
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publishedDate = None
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return authors, journal, publisher, publishedDate
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def response(resp): # pylint: disable=too-many-locals
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"""Get response from google's search request"""
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results = []
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detect_google_sorry(resp)
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# which subdomain ?
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# subdomain = resp.search_params.get('google_subdomain')
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# convert the text to dom
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dom = html.fromstring(resp.text)
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# parse results
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for result in eval_xpath_list(dom, '//div[@data-cid]'):
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title = extract_text(eval_xpath(result, './/h3[1]//a'))
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if not title:
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# this is a [ZITATION] block
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continue
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pub_type = extract_text(eval_xpath(result, './/span[@class="gs_ct1"]'))
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if pub_type:
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pub_type = pub_type[1:-1].lower()
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url = eval_xpath_getindex(result, './/h3[1]//a/@href', 0)
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content = extract_text(eval_xpath(result, './/div[@class="gs_rs"]'))
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authors, journal, publisher, publishedDate = parse_gs_a(
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extract_text(eval_xpath(result, './/div[@class="gs_a"]'))
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)
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if publisher in url:
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publisher = None
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# cited by
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comments = extract_text(eval_xpath(result, './/div[@class="gs_fl"]/a[starts-with(@href,"/scholar?cites=")]'))
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# link to the html or pdf document
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html_url = None
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pdf_url = None
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doc_url = eval_xpath_getindex(result, './/div[@class="gs_or_ggsm"]/a/@href', 0, default=None)
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doc_type = extract_text(eval_xpath(result, './/span[@class="gs_ctg2"]'))
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if doc_type == "[PDF]":
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pdf_url = doc_url
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else:
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html_url = doc_url
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results.append(
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{
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'template': 'paper.html',
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'type': pub_type,
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'url': url,
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'title': title,
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'authors': authors,
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'publisher': publisher,
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'journal': journal,
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'publishedDate': publishedDate,
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'content': content,
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'comments': comments,
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'html_url': html_url,
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'pdf_url': pdf_url,
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}
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)
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# parse suggestion
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for suggestion in eval_xpath(dom, '//div[contains(@class, "gs_qsuggest_wrap")]//li//a'):
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# append suggestion
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results.append({'suggestion': extract_text(suggestion)})
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for correction in eval_xpath(dom, '//div[@class="gs_r gs_pda"]/a'):
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results.append({'correction': extract_text(correction)})
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return results
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