| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108 | # SPDX-License-Identifier: AGPL-3.0-or-later""" PubMed (Scholar publications)"""from flask_babel import gettextfrom lxml import etreefrom datetime import datetimefrom urllib.parse import urlencodefrom searx.network import get# aboutabout = {    "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 confignumber_of_results = 10pubmed_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 paramsdef 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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