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							- # SPDX-License-Identifier: AGPL-3.0-or-later
 
- """
 
-  PubMed (Scholar publications)
 
- """
 
- from flask_babel import gettext
 
- from lxml import etree
 
- from datetime import datetime
 
- from urllib.parse import urlencode
 
- from searx.network import get
 
- # about
 
- about = {
 
-     "website": 'https://www.ncbi.nlm.nih.gov/pubmed/',
 
-     "wikidata_id": 'Q1540899',
 
-     "official_api_documentation": {
 
-         'url': 'https://www.ncbi.nlm.nih.gov/home/develop/api/',
 
-         'comment': 'More info on api: https://www.ncbi.nlm.nih.gov/books/NBK25501/'
 
-     },
 
-     "use_official_api": True,
 
-     "require_api_key": False,
 
-     "results": 'XML',
 
- }
 
- categories = ['science']
 
- base_url = 'https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi'\
 
-            + '?db=pubmed&{query}&retstart={offset}&retmax={hits}'
 
- # engine dependent config
 
- number_of_results = 10
 
- pubmed_url = 'https://www.ncbi.nlm.nih.gov/pubmed/'
 
- def request(query, params):
 
-     # basic search
 
-     offset = (params['pageno'] - 1) * number_of_results
 
-     string_args = dict(query=urlencode({'term': query}),
 
-                        offset=offset,
 
-                        hits=number_of_results)
 
-     params['url'] = base_url.format(**string_args)
 
-     return params
 
- def response(resp):
 
-     results = []
 
-     # First retrieve notice of each result
 
-     pubmed_retrieve_api_url = 'https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?'\
 
-                               + 'db=pubmed&retmode=xml&id={pmids_string}'
 
-     pmids_results = etree.XML(resp.content)
 
-     pmids = pmids_results.xpath('//eSearchResult/IdList/Id')
 
-     pmids_string = ''
 
-     for item in pmids:
 
-         pmids_string += item.text + ','
 
-     retrieve_notice_args = dict(pmids_string=pmids_string)
 
-     retrieve_url_encoded = pubmed_retrieve_api_url.format(**retrieve_notice_args)
 
-     search_results_xml = get(retrieve_url_encoded).content
 
-     search_results = etree.XML(search_results_xml).xpath('//PubmedArticleSet/PubmedArticle/MedlineCitation')
 
-     for entry in search_results:
 
-         title = entry.xpath('.//Article/ArticleTitle')[0].text
 
-         pmid = entry.xpath('.//PMID')[0].text
 
-         url = pubmed_url + pmid
 
-         try:
 
-             content = entry.xpath('.//Abstract/AbstractText')[0].text
 
-         except:
 
-             content = gettext('No abstract is available for this publication.')
 
-         #  If a doi is available, add it to the snipppet
 
-         try:
 
-             doi = entry.xpath('.//ELocationID[@EIdType="doi"]')[0].text
 
-             content = 'DOI: {doi} Abstract: {content}'.format(doi=doi, content=content)
 
-         except:
 
-             pass
 
-         if len(content) > 300:
 
-             content = content[0:300] + "..."
 
-         # TODO: center snippet on query term
 
-         res_dict = {'url': url,
 
-                     'title': title,
 
-                     'content': content}
 
-         try:
 
-             publishedDate = datetime.strptime(entry.xpath('.//DateCreated/Year')[0].text
 
-                                               + '-' + entry.xpath('.//DateCreated/Month')[0].text
 
-                                               + '-' + entry.xpath('.//DateCreated/Day')[0].text, '%Y-%m-%d')
 
-             res_dict['publishedDate'] = publishedDate
 
-         except:
 
-             pass
 
-         results.append(res_dict)
 
-         return results
 
 
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