from .vice import ViceIE
from .viddler import ViddlerIE
from .videodetective import VideoDetectiveIE
-from .videolecturesnet import VideoLecturesNetIE
from .videofyme import VideofyMeIE
from .videomega import VideoMegaIE
from .videopremium import VideoPremiumIE
from .vidzi import VidziIE
from .vier import VierIE, VierVideosIE
from .viewster import ViewsterIE
+from .viidea import ViideaIE
from .vimeo import (
VimeoIE,
VimeoAlbumIE,
+++ /dev/null
-from __future__ import unicode_literals
-
-import re
-
-from .common import InfoExtractor
-from ..compat import (
- compat_HTTPError,
- compat_urlparse,
-)
-from ..utils import (
- ExtractorError,
- parse_duration,
- js_to_json,
- parse_iso8601,
-)
-
-
-class VideoLecturesNetIE(InfoExtractor):
- _VALID_URL = r'http://(?:www\.)?videolectures\.net/(?P<id>[^/]+)(?:/video/(?P<part>\d+))?'
- IE_NAME = 'videolectures.net'
-
- _TESTS = [{
- 'url': 'http://videolectures.net/promogram_igor_mekjavic_eng/',
- 'info_dict': {
- 'id': '20171_part1',
- 'ext': 'mp4',
- 'title': 'Automatics, robotics and biocybernetics',
- 'description': 'md5:815fc1deb6b3a2bff99de2d5325be482',
- 'upload_date': '20130627',
- 'duration': 565,
- 'thumbnail': 're:http://.*\.jpg',
- },
- }, {
- # video with invalid direct format links (HTTP 403)
- 'url': 'http://videolectures.net/russir2010_filippova_nlp/',
- 'info_dict': {
- 'id': '14891_part1',
- 'ext': 'flv',
- 'title': 'NLP at Google',
- 'description': 'md5:fc7a6d9bf0302d7cc0e53f7ca23747b3',
- 'duration': 5352,
- 'thumbnail': 're:http://.*\.jpg',
- },
- 'params': {
- # rtmp download
- 'skip_download': True,
- },
- }, {
- 'url': 'http://videolectures.net/deeplearning2015_montreal/',
- 'info_dict': {
- 'id': '23181',
- 'title': 'Deep Learning Summer School, Montreal 2015',
- 'description': 'md5:0533a85e4bd918df52a01f0e1ebe87b7',
- 'timestamp': 1438560000,
- },
- 'playlist_count': 30,
- }, {
- # multi part lecture
- 'url': 'http://videolectures.net/mlss09uk_bishop_ibi/',
- 'info_dict': {
- 'id': '9737',
- 'title': 'Introduction To Bayesian Inference',
- 'timestamp': 1251622800,
- },
- 'playlist': [{
- 'info_dict': {
- 'id': '9737_part1',
- 'ext': 'wmv',
- 'title': 'Introduction To Bayesian Inference',
- },
- }, {
- 'info_dict': {
- 'id': '9737_part2',
- 'ext': 'wmv',
- 'title': 'Introduction To Bayesian Inference',
- },
- }],
- 'playlist_count': 2,
- }]
-
- def _real_extract(self, url):
- lecture_slug, part = re.match(self._VALID_URL, url).groups()
-
- webpage = self._download_webpage(url, lecture_slug)
-
- cfg = self._parse_json(self._search_regex(r'cfg\s*:\s*({[^}]+})', webpage, 'cfg'), lecture_slug, js_to_json)
-
- lecture_id = str(cfg['obj_id'])
-
- lecture_data = self._download_json('%s/site/api/lecture/%s?format=json' % (self._proto_relative_url(cfg['livepipe'], 'http:'), lecture_id), lecture_id)['lecture'][0]
-
- lecture_info = {
- 'id': lecture_id,
- 'display_id': lecture_slug,
- 'title': lecture_data['title'],
- 'timestamp': parse_iso8601(lecture_data.get('time')),
- 'description': lecture_data.get('description_wiki'),
- 'thumbnail': lecture_data.get('thumb'),
- }
-
- entries = []
- parts = cfg.get('videos')
- if parts:
- if len(parts) == 1:
- part = str(parts[0])
- if part:
- smil_url = 'http://videolectures.net/%s/video/%s/smil.xml' % (lecture_slug, part)
- smil = self._download_smil(smil_url, lecture_id)
- info = self._parse_smil(smil, smil_url, lecture_id)
- info['id'] = '%s_part%s' % (lecture_id, part)
- switch = smil.find('.//switch')
- if switch is not None:
- info['duration'] = parse_duration(switch.attrib.get('dur'))
- return info
- else:
- for part in parts:
- entries.append(self.url_result('http://videolectures.net/%s/video/%s' % (lecture_slug, part), 'VideoLecturesNet'))
- lecture_info['_type'] = 'multi_video'
- else:
- # Probably a playlist
- entries = [
- self.url_result(compat_urlparse.urljoin(url, video_url), 'VideoLecturesNet')
- for _, video_url in re.findall(r'<a[^>]+href=(["\'])(.+?)\1[^>]+id=["\']lec=\d+', webpage)]
- lecture_info['_type'] = 'playlist'
-
- lecture_info['entries'] = entries
- return lecture_info
--- /dev/null
+from __future__ import unicode_literals
+
+import re
+
+from .common import InfoExtractor
+from ..compat import (
+ compat_HTTPError,
+ compat_urlparse,
+)
+from ..utils import (
+ ExtractorError,
+ parse_duration,
+ js_to_json,
+ parse_iso8601,
+)
+
+
+class ViideaIE(InfoExtractor):
+ _VALID_URL = r'''(?x)http://(?:www\.)?(?:
+ videolectures\.net|
+ flexilearn\.viidea\.net|
+ presentations\.ocwconsortium\.org|
+ video\.travel-zoom\.si|
+ video\.pomp-forum\.si|
+ tv\.nil\.si|
+ video\.hekovnik.com|
+ video\.szko\.si|
+ kpk\.viidea\.com|
+ inside\.viidea\.net|
+ video\.kiberpipa\.org|
+ bvvideo\.si|
+ kongres\.viidea\.net|
+ edemokracija\.viidea\.com
+ )(?:/lecture)?/(?P<id>[^/]+)(?:/video/(?P<part>\d+))?'''
+
+ _TESTS = [{
+ 'url': 'http://videolectures.net/promogram_igor_mekjavic_eng/',
+ 'info_dict': {
+ 'id': '20171_part1',
+ 'ext': 'mp4',
+ 'title': 'Automatics, robotics and biocybernetics',
+ 'description': 'md5:815fc1deb6b3a2bff99de2d5325be482',
+ 'upload_date': '20130627',
+ 'duration': 565,
+ 'thumbnail': 're:http://.*\.jpg',
+ },
+ }, {
+ # video with invalid direct format links (HTTP 403)
+ 'url': 'http://videolectures.net/russir2010_filippova_nlp/',
+ 'info_dict': {
+ 'id': '14891_part1',
+ 'ext': 'flv',
+ 'title': 'NLP at Google',
+ 'description': 'md5:fc7a6d9bf0302d7cc0e53f7ca23747b3',
+ 'duration': 5352,
+ 'thumbnail': 're:http://.*\.jpg',
+ },
+ 'params': {
+ # rtmp download
+ 'skip_download': True,
+ },
+ }, {
+ 'url': 'http://videolectures.net/deeplearning2015_montreal/',
+ 'info_dict': {
+ 'id': '23181',
+ 'title': 'Deep Learning Summer School, Montreal 2015',
+ 'description': 'md5:0533a85e4bd918df52a01f0e1ebe87b7',
+ 'timestamp': 1438560000,
+ },
+ 'playlist_count': 30,
+ }, {
+ # multi part lecture
+ 'url': 'http://videolectures.net/mlss09uk_bishop_ibi/',
+ 'info_dict': {
+ 'id': '9737',
+ 'title': 'Introduction To Bayesian Inference',
+ 'timestamp': 1251622800,
+ },
+ 'playlist': [{
+ 'info_dict': {
+ 'id': '9737_part1',
+ 'ext': 'wmv',
+ 'title': 'Introduction To Bayesian Inference',
+ },
+ }, {
+ 'info_dict': {
+ 'id': '9737_part2',
+ 'ext': 'wmv',
+ 'title': 'Introduction To Bayesian Inference',
+ },
+ }],
+ 'playlist_count': 2,
+ }]
+
+ def _real_extract(self, url):
+ lecture_slug, part = re.match(self._VALID_URL, url).groups()
+
+ webpage = self._download_webpage(url, lecture_slug)
+
+ cfg = self._parse_json(self._search_regex(r'cfg\s*:\s*({[^}]+})', webpage, 'cfg'), lecture_slug, js_to_json)
+
+ lecture_id = str(cfg['obj_id'])
+
+ base_url = self._proto_relative_url(cfg['livepipe'], 'http:')
+
+ lecture_data = self._download_json('%s/site/api/lecture/%s?format=json' % (base_url, lecture_id), lecture_id)['lecture'][0]
+
+ lecture_info = {
+ 'id': lecture_id,
+ 'display_id': lecture_slug,
+ 'title': lecture_data['title'],
+ 'timestamp': parse_iso8601(lecture_data.get('time')),
+ 'description': lecture_data.get('description_wiki'),
+ 'thumbnail': lecture_data.get('thumb'),
+ }
+
+ entries = []
+ parts = cfg.get('videos')
+ if parts:
+ if len(parts) == 1:
+ part = str(parts[0])
+ if part:
+ smil_url = '%s/%s/video/%s/smil.xml' % (base_url, lecture_slug, part)
+ smil = self._download_smil(smil_url, lecture_id)
+ info = self._parse_smil(smil, smil_url, lecture_id)
+ info['id'] = '%s_part%s' % (lecture_id, part)
+ switch = smil.find('.//switch')
+ if switch is not None:
+ info['duration'] = parse_duration(switch.attrib.get('dur'))
+ return info
+ else:
+ for part in parts:
+ entries.append(self.url_result('%s/video/%s' % (base_url, lecture_id, part), 'Viidea'))
+ lecture_info['_type'] = 'multi_video'
+ else:
+ # Probably a playlist
+ playlist_webpage = self._download_webpage('%s/site/ajax/drilldown/?id=%s' % (base_url, lecture_id), lecture_id)
+ entries = [
+ self.url_result(compat_urlparse.urljoin(url, video_url), 'Viidea')
+ for _, video_url in re.findall(r'<a[^>]+href=(["\'])(.+?)\1[^>]+id=["\']lec=\d+', playlist_webpage)]
+ lecture_info['_type'] = 'playlist'
+
+ lecture_info['entries'] = entries
+ return lecture_info
projects / youtube-dl / commitdiff