Merge pull request #1075 from kvch/finish-jibe-b-engines

Finish PRs of @jibe-b: pubmed, oa_doi_rewrite, openaire, arxiv

1 files changed, 98 insertions, 0 deletions

diff --git a/searx/engines/pubmed.py b/searx/engines/pubmed.py
new file mode 100644
index 000000000..6451f1467
--- /dev/null
+++ b/searx/engines/pubmed.py
@@ -0,0 +1,98 @@
+#!/usr/bin/env python
+
+"""
+ PubMed (Scholar publications)
+ @website     https://www.ncbi.nlm.nih.gov/pubmed/
+ @provide-api yes (https://www.ncbi.nlm.nih.gov/home/develop/api/)
+ @using-api   yes
+ @results     XML
+ @stable      yes
+ @parse       url, title, publishedDate, content
+ More info on api: https://www.ncbi.nlm.nih.gov/books/NBK25501/
+"""
+
+from flask_babel import gettext
+from lxml import etree
+from datetime import datetime
+from searx.url_utils import urlencode
+from searx.poolrequests import get
+
+
+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
+
+        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 = {'url': url,
+                    'title': title,
+                    'publishedDate': publishedDate,
+                    'content': content}
+
+        results.append(res_dict)
+
+        return results