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searxng/searx/engines/semantic_scholar.py

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# SPDX-License-Identifier: AGPL-3.0-or-later
# lint: pylint
"""Semantic Scholar (Science)
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"""
from json import dumps, loads
from datetime import datetime
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from flask_babel import gettext
about = {
"website": 'https://www.semanticscholar.org/',
"wikidata_id": 'Q22908627',
"official_api_documentation": 'https://api.semanticscholar.org/',
"use_official_api": True,
"require_api_key": False,
"results": 'JSON',
}
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categories = ['science', 'scientific publications']
paging = True
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search_url = 'https://www.semanticscholar.org/api/1/search'
paper_url = 'https://www.semanticscholar.org/paper'
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def request(query, params):
params['url'] = search_url
params['method'] = 'POST'
params['headers']['content-type'] = 'application/json'
params['data'] = dumps(
{
"queryString": query,
"page": params['pageno'],
"pageSize": 10,
"sort": "relevance",
"useFallbackRankerService": False,
"useFallbackSearchCluster": False,
"getQuerySuggestions": False,
"authors": [],
"coAuthors": [],
"venues": [],
"performTitleMatch": True,
}
)
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return params
def response(resp):
res = loads(resp.text)
results = []
for result in res['results']:
url = result.get('primaryPaperLink', {}).get('url')
if not url and result.get('links'):
url = result.get('links')[0]
if not url:
alternatePaperLinks = result.get('alternatePaperLinks')
if alternatePaperLinks:
url = alternatePaperLinks[0].get('url')
if not url:
url = paper_url + '/%s' % result['id']
# publishedDate
if 'pubDate' in result:
publishedDate = datetime.strptime(result['pubDate'], "%Y-%m-%d")
else:
publishedDate = None
# authors
authors = [author[0]['name'] for author in result.get('authors', [])]
# pick for the first alternate link, but not from the crawler
pdf_url = None
for doc in result.get('alternatePaperLinks', []):
if doc['linkType'] not in ('crawler', 'doi'):
pdf_url = doc['url']
break
# comments
comments = None
if 'citationStats' in result:
comments = gettext(
'{numCitations} citations from the year {firstCitationVelocityYear} to {lastCitationVelocityYear}'
).format(
numCitations=result['citationStats']['numCitations'],
firstCitationVelocityYear=result['citationStats']['firstCitationVelocityYear'],
lastCitationVelocityYear=result['citationStats']['lastCitationVelocityYear'],
)
results.append(
{
'template': 'paper.html',
'url': url,
'title': result['title']['text'],
'content': result['paperAbstract']['text'],
'journal': result.get('venue', {}).get('text') or result.get('journal', {}).get('name'),
'doi': result.get('doiInfo', {}).get('doi'),
'tags': result.get('fieldsOfStudy'),
'authors': authors,
'pdf_url': pdf_url,
'publishedDate': publishedDate,
'comments': comments,
}
)
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return results