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57 lines
2.5 KiB
Python
57 lines
2.5 KiB
Python
import re
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from .common import InfoExtractor
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from ..utils import determine_ext
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class CNNIE(InfoExtractor):
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_VALID_URL = r'''(?x)https?://((edition|www)\.)?cnn\.com/video/(data/.+?|\?)/
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(?P<path>.+?/(?P<title>[^/]+?)(?:\.cnn|(?=&)))'''
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_TESTS = [{
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u'url': u'http://edition.cnn.com/video/?/video/sports/2013/06/09/nadal-1-on-1.cnn',
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u'file': u'sports_2013_06_09_nadal-1-on-1.cnn.mp4',
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u'md5': u'3e6121ea48df7e2259fe73a0628605c4',
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u'info_dict': {
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u'title': u'Nadal wins 8th French Open title',
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u'description': u'World Sport\'s Amanda Davies chats with 2013 French Open champion Rafael Nadal.',
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},
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},
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{
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u"url": u"http://edition.cnn.com/video/?/video/us/2013/08/21/sot-student-gives-epic-speech.georgia-institute-of-technology&utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+rss%2Fcnn_topstories+%28RSS%3A+Top+Stories%29",
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u"file": u"us_2013_08_21_sot-student-gives-epic-speech.georgia-institute-of-technology.mp4",
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u"md5": u"b5cc60c60a3477d185af8f19a2a26f4e",
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u"info_dict": {
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u"title": "Student's epic speech stuns new freshmen",
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u"description": "A Georgia Tech student welcomes the incoming freshmen with an epic speech backed by music from \"2001: A Space Odyssey.\""
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}
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}]
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def _real_extract(self, url):
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mobj = re.match(self._VALID_URL, url)
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path = mobj.group('path')
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page_title = mobj.group('title')
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info_url = u'http://cnn.com/video/data/3.0/%s/index.xml' % path
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info = self._download_xml(info_url, page_title)
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formats = []
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for f in info.findall('files/file'):
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mf = re.match(r'(\d+)x(\d+)(?:_(.*)k)?',f.attrib['bitrate'])
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if mf is not None:
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formats.append((int(mf.group(1)), int(mf.group(2)), int(mf.group(3) or 0), f.text))
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formats = sorted(formats)
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(_,_,_, video_path) = formats[-1]
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video_url = 'http://ht.cdn.turner.com/cnn/big%s' % video_path
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thumbnails = sorted([((int(t.attrib['height']),int(t.attrib['width'])), t.text) for t in info.findall('images/image')])
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thumbs_dict = [{'resolution': res, 'url': t_url} for (res, t_url) in thumbnails]
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return {'id': info.attrib['id'],
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'title': info.find('headline').text,
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'url': video_url,
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'ext': determine_ext(video_url),
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'thumbnail': thumbnails[-1][1],
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'thumbnails': thumbs_dict,
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'description': info.find('description').text,
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}
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