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68 lines
2.1 KiB
Python
68 lines
2.1 KiB
Python
# Vimeo (Videos)
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#
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# @website https://vimeo.com/
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# @provide-api yes (http://developer.vimeo.com/api),
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# they have a maximum count of queries/hour
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#
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# @using-api no (TODO, rewrite to api)
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# @results HTML (using search portal)
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# @stable no (HTML can change)
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# @parse url, title, publishedDate, thumbnail, embedded
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#
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# @todo rewrite to api
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# @todo set content-parameter with correct data
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from json import loads
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from dateutil import parser
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from searx.url_utils import urlencode
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# engine dependent config
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categories = ['videos']
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paging = True
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# search-url
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base_url = 'https://vimeo.com/'
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search_url = base_url + '/search/page:{pageno}?{query}'
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embedded_url = '<iframe data-src="//player.vimeo.com/video/{videoid}" ' +\
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'width="540" height="304" frameborder="0" ' +\
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'webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>'
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# do search-request
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def request(query, params):
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params['url'] = search_url.format(pageno=params['pageno'],
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query=urlencode({'q': query}))
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return params
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# get response from search-request
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def response(resp):
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results = []
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data_start_pos = resp.text.find('{"filtered"')
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data_end_pos = resp.text.find(';\n', data_start_pos + 1)
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data = loads(resp.text[data_start_pos:data_end_pos])
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# parse results
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for result in data['filtered']['data']:
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result = result[result['type']]
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videoid = result['uri'].split('/')[-1]
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url = base_url + videoid
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title = result['name']
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thumbnail = result['pictures']['sizes'][-1]['link']
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publishedDate = parser.parse(result['created_time'])
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embedded = embedded_url.format(videoid=videoid)
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# append result
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results.append({'url': url,
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'title': title,
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'content': '',
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'template': 'videos.html',
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'publishedDate': publishedDate,
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'embedded': embedded,
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'thumbnail': thumbnail})
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# return results
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return results
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