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