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d14994dc73
settings.yml:
* outgoing.networks:
* can contains network definition
* propertiers: enable_http, verify, http2, max_connections, max_keepalive_connections,
keepalive_expiry, local_addresses, support_ipv4, support_ipv6, proxies, max_redirects, retries
* retries: 0 by default, number of times searx retries to send the HTTP request (using different IP & proxy each time)
* local_addresses can be "192.168.0.1/24" (it supports IPv6)
* support_ipv4 & support_ipv6: both True by default
see https://github.com/searx/searx/pull/1034
* each engine can define a "network" section:
* either a full network description
* either reference an existing network
* all HTTP requests of engine use the same HTTP configuration (it was not the case before, see proxy configuration in master)
105 lines
3.2 KiB
Python
105 lines
3.2 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
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"""
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PubMed (Scholar publications)
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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 urllib.parse import urlencode
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from searx.network import get
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# about
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about = {
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"website": 'https://www.ncbi.nlm.nih.gov/pubmed/',
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"wikidata_id": 'Q1540899',
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"official_api_documentation": {
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'url': 'https://www.ncbi.nlm.nih.gov/home/develop/api/',
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'comment': 'More info on api: https://www.ncbi.nlm.nih.gov/books/NBK25501/'
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},
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"use_official_api": True,
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"require_api_key": False,
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"results": 'XML',
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}
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categories = ['science']
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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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# 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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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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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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params['url'] = base_url.format(**string_args)
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return params
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def response(resp):
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results = []
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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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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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for item in pmids:
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pmids_string += item.text + ','
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retrieve_notice_args = dict(pmids_string=pmids_string)
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retrieve_url_encoded = pubmed_retrieve_api_url.format(**retrieve_notice_args)
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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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for entry in search_results:
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title = entry.xpath('.//Article/ArticleTitle')[0].text
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pmid = entry.xpath('.//PMID')[0].text
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url = pubmed_url + pmid
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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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# 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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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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res_dict = {'url': url,
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'title': title,
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'content': content}
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try:
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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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res_dict['publishedDate'] = publishedDate
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except:
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pass
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results.append(res_dict)
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return results
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