searxngRebrandZaclys/searx/engines/pubmed.py
Markus Heiser 3d96a9839a [format.python] initial formatting of the python code
This patch was generated by black [1]::

    make format.python

[1] https://github.com/psf/black

Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
2021-12-27 09:26:22 +01:00

109 lines
3.1 KiB
Python

# 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