forked from zaclys/searxng
76 lines
1.8 KiB
Python
76 lines
1.8 KiB
Python
"""
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Microsoft Academic (Science)
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@website https://academic.microsoft.com
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@provide-api yes
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@using-api no
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@results JSON
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@stable no
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@parse url, title, content
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"""
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from datetime import datetime
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from json import loads
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from uuid import uuid4
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from searx.url_utils import urlencode
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from searx.utils import html_to_text
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categories = ['images']
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paging = True
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result_url = 'https://academic.microsoft.com/api/search/GetEntityResults?{query}'
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def request(query, params):
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correlation_id = uuid4()
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msacademic = uuid4()
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time_now = datetime.now()
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params['url'] = result_url.format(query=urlencode({'correlationId': correlation_id}))
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params['cookies']['msacademic'] = str(msacademic)
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params['cookies']['ai_user'] = 'vhd0H|{now}'.format(now=str(time_now))
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params['method'] = 'POST'
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params['data'] = {
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'Query': '@{query}@'.format(query=query),
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'Limit': 10,
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'Offset': params['pageno'] - 1,
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'Filters': '',
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'OrderBy': '',
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'SortAscending': False,
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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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for result in response_data['results']:
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url = _get_url(result)
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title = result['e']['dn']
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content = _get_content(result)
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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_url(result):
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if 's' in result['e']:
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return result['e']['s'][0]['u']
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return 'https://academic.microsoft.com/#/detail/{pid}'.format(pid=result['id'])
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def _get_content(result):
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if 'd' in result['e']:
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content = result['e']['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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