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			74 lines
		
	
	
		
			1.7 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			74 lines
		
	
	
		
			1.7 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
# SPDX-License-Identifier: AGPL-3.0-or-later
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"""
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 Microsoft Academic (Science)
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"""
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from json import dumps, loads
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from searx.utils import html_to_text
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# about
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about = {
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    "website": 'https://academic.microsoft.com',
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    "wikidata_id": 'Q28136779',
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    "official_api_documentation": 'http://ma-graph.org/',
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    "use_official_api": False,
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    "require_api_key": False,
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    "results": 'JSON',
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}
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categories = ['images']
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paging = True
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search_url = 'https://academic.microsoft.com/api/search'
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_paper_url = 'https://academic.microsoft.com/paper/{id}/reference'
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def request(query, params):
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    params['url'] = search_url
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    params['method'] = 'POST'
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    params['headers']['content-type'] = 'application/json; charset=utf-8'
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    params['data'] = dumps({
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        'query': query,
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        'queryExpression': '',
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        'filters': [],
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        'orderBy': 0,
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        'skip': (params['pageno'] - 1) * 10,
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        'sortAscending': True,
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        'take': 10,
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        'includeCitationContexts': False,
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        'profileId': '',
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    })
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    return params
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def response(resp):
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    results = []
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    response_data = loads(resp.text)
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    if not response_data:
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        return results
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    for result in response_data['pr']:
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        if 'dn' not in result['paper']:
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            continue
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        title = result['paper']['dn']
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        content = _get_content(result['paper'])
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        url = _paper_url.format(id=result['paper']['id'])
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        results.append({
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            'url': url,
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            'title': html_to_text(title),
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            'content': html_to_text(content),
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        })
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    return results
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def _get_content(result):
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    if 'd' in result:
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        content = result['d']
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        if len(content) > 300:
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            return content[:300] + '...'
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        return content
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    return ''
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