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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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