@@ -0,0 +1,101 @@
1+#!/usr/bin/env python
2+
3+"""
4+ PubMed (Scholar publications)
5+ @website https://www.ncbi.nlm.nih.gov/pubmed/
6+ @provide-api yes (https://www.ncbi.nlm.nih.gov/home/develop/api/)
7+ @using-api yes
8+ @results XML
9+ @stable yes
10+ @parse url, title, publishedDate, content
11+ More info on api: https://www.ncbi.nlm.nih.gov/books/NBK25501/
12+"""
13+
14+from lxml import etree
15+from datetime import datetime
16+from searx.url_utils import urlencode, urlopen
17+
18+
19+categories = ['science']
20+
21+base_url = 'https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi'\
22+ + '?db=pubmed&{query}&retstart={offset}&retmax={hits}'
23+
24+# engine dependent config
25+number_of_results = 10
26+pubmed_url = 'https://www.ncbi.nlm.nih.gov/pubmed/'
27+
28+
29+def request(query, params):
30+ # basic search
31+ offset = (params['pageno'] - 1) * number_of_results
32+
33+ string_args = dict(query=urlencode({'term': query}),
34+ offset=offset,
35+ hits=number_of_results)
36+
37+ params['url'] = base_url.format(**string_args)
38+
39+ return params
40+
41+
42+def response(resp):
43+ results = []
44+
45+ # First retrieve notice of each result
46+ pubmed_retrieve_api_url = 'https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?'\
47+ + 'db=pubmed&retmode=xml&id={pmids_string}'
48+
49+ # handle Python2 vs Python3 management of bytes and strings
50+ try:
51+ pmids_results = etree.XML(resp.text.encode('utf-8'))
52+ except AttributeError:
53+ pmids_results = etree.XML(resp.text)
54+
55+ pmids = pmids_results.xpath('//eSearchResult/IdList/Id')
56+ pmids_string = ''
57+
58+ for item in pmids:
59+ pmids_string += item.text + ','
60+
61+ retrieve_notice_args = dict(pmids_string=pmids_string)
62+
63+ retrieve_url_encoded = pubmed_retrieve_api_url.format(**retrieve_notice_args)
64+
65+ search_results_xml = urlopen(retrieve_url_encoded).read()
66+ search_results = etree.XML(search_results_xml).xpath('//PubmedArticleSet/PubmedArticle/MedlineCitation')
67+
68+ for entry in search_results:
69+ title = entry.xpath('.//Article/ArticleTitle')[0].text
70+
71+ pmid = entry.xpath('.//PMID')[0].text
72+ url = pubmed_url + pmid
73+
74+ try:
75+ content = entry.xpath('.//Abstract/AbstractText')[0].text
76+ except:
77+ content = 'No abstract is available for this publication.'
78+
79+ # If a doi is available, add it to the snipppet
80+ try:
81+ doi = entry.xpath('.//ELocationID[@EIdType="doi"]')[0].text
82+ content = 'DOI: ' + doi + ' Abstract: ' + content
83+ except:
84+ pass
85+
86+ if len(content) > 300:
87+ content = content[0:300] + "..."
88+ # TODO: center snippet on query term
89+
90+ publishedDate = datetime.strptime(entry.xpath('.//DateCreated/Year')[0].text
91+ + '-' + entry.xpath('.//DateCreated/Month')[0].text
92+ + '-' + entry.xpath('.//DateCreated/Day')[0].text, '%Y-%m-%d')
93+
94+ res_dict = {'url': url,
95+ 'title': title,
96+ 'publishedDate': publishedDate,
97+ 'content': content}
98+
99+ results.append(res_dict)
100+
101+ return results