2014-03-21 08:38:37 -05:00
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from __future__ import unicode_literals
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2015-10-01 11:39:38 -05:00
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import re
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2014-03-21 08:38:37 -05:00
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from .common import InfoExtractor
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2015-10-01 11:44:51 -05:00
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from ..compat import (
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compat_urlparse,
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compat_str,
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)
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from ..utils import (
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parse_duration,
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js_to_json,
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parse_iso8601,
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)
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2014-03-21 08:38:37 -05:00
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2015-11-06 14:23:41 -06:00
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class ViideaIE(InfoExtractor):
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_VALID_URL = r'''(?x)http://(?:www\.)?(?:
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videolectures\.net|
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flexilearn\.viidea\.net|
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presentations\.ocwconsortium\.org|
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video\.travel-zoom\.si|
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video\.pomp-forum\.si|
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tv\.nil\.si|
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video\.hekovnik.com|
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video\.szko\.si|
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kpk\.viidea\.com|
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inside\.viidea\.net|
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video\.kiberpipa\.org|
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bvvideo\.si|
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kongres\.viidea\.net|
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edemokracija\.viidea\.com
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)(?:/lecture)?/(?P<id>[^/]+)(?:/video/(?P<part>\d+))?/*(?:[#?].*)?$'''
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_TESTS = [{
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'url': 'http://videolectures.net/promogram_igor_mekjavic_eng/',
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'info_dict': {
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'id': '20171_part1',
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'ext': 'mp4',
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'title': 'Automatics, robotics and biocybernetics',
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'description': 'md5:815fc1deb6b3a2bff99de2d5325be482',
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'upload_date': '20130627',
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'duration': 565,
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'thumbnail': 're:http://.*\.jpg',
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},
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}, {
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# video with invalid direct format links (HTTP 403)
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'url': 'http://videolectures.net/russir2010_filippova_nlp/',
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'info_dict': {
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'id': '14891_part1',
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'ext': 'flv',
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'title': 'NLP at Google',
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'description': 'md5:fc7a6d9bf0302d7cc0e53f7ca23747b3',
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'duration': 5352,
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'thumbnail': 're:http://.*\.jpg',
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},
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'params': {
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# rtmp download
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'skip_download': True,
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},
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}, {
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'url': 'http://videolectures.net/deeplearning2015_montreal/',
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'info_dict': {
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'id': '23181',
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'title': 'Deep Learning Summer School, Montreal 2015',
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'description': 'md5:0533a85e4bd918df52a01f0e1ebe87b7',
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'timestamp': 1438560000,
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},
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'playlist_count': 30,
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}, {
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# multi part lecture
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'url': 'http://videolectures.net/mlss09uk_bishop_ibi/',
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'info_dict': {
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'id': '9737',
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'title': 'Introduction To Bayesian Inference',
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'timestamp': 1251622800,
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},
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'playlist': [{
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'info_dict': {
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'id': '9737_part1',
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'ext': 'wmv',
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'title': 'Introduction To Bayesian Inference',
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},
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}, {
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'info_dict': {
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'id': '9737_part2',
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'ext': 'wmv',
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'title': 'Introduction To Bayesian Inference',
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},
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}],
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'playlist_count': 2,
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}]
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def _real_extract(self, url):
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lecture_slug, part = re.match(self._VALID_URL, url).groups()
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webpage = self._download_webpage(url, lecture_slug)
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cfg = self._parse_json(self._search_regex([r'cfg\s*:\s*({.+?}),[\da-zA-Z_]:\(?function', r'cfg\s*:\s*({[^}]+})'], webpage, 'cfg'), lecture_slug, js_to_json)
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lecture_id = compat_str(cfg['obj_id'])
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base_url = self._proto_relative_url(cfg['livepipe'], 'http:')
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lecture_data = self._download_json('%s/site/api/lecture/%s?format=json' % (base_url, lecture_id), lecture_id)['lecture'][0]
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lecture_info = {
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'id': lecture_id,
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'display_id': lecture_slug,
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'title': lecture_data['title'],
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'timestamp': parse_iso8601(lecture_data.get('time')),
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'description': lecture_data.get('description_wiki'),
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'thumbnail': lecture_data.get('thumb'),
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}
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entries = []
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parts = cfg.get('videos')
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if parts:
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if len(parts) == 1:
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part = compat_str(parts[0])
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if part:
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smil_url = '%s/%s/video/%s/smil.xml' % (base_url, lecture_slug, part)
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smil = self._download_smil(smil_url, lecture_id)
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info = self._parse_smil(smil, smil_url, lecture_id)
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info['id'] = '%s_part%s' % (lecture_id, part)
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switch = smil.find('.//switch')
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if switch is not None:
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info['duration'] = parse_duration(switch.attrib.get('dur'))
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return info
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else:
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for part in parts:
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entries.append(self.url_result('%s/%s/video/%s' % (base_url, lecture_slug, part), 'Viidea'))
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lecture_info['_type'] = 'multi_video'
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if not parts or lecture_data.get('type') == 'evt':
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# Probably a playlist
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playlist_webpage = self._download_webpage('%s/site/ajax/drilldown/?id=%s' % (base_url, lecture_id), lecture_id)
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entries = [
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self.url_result(compat_urlparse.urljoin(url, video_url), 'Viidea')
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for _, video_url in re.findall(r'<a[^>]+href=(["\'])(.+?)\1[^>]+id=["\']lec=\d+', playlist_webpage)]
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lecture_info['_type'] = 'playlist'
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lecture_info['entries'] = entries
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return lecture_info
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