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https://github.com/yt-dlp/yt-dlp
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[extractor/videoken] Add extractors (#5824)
Closes #5818 Authored by: bashonly
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2 changed files with 343 additions and 0 deletions
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@ -2097,6 +2097,13 @@ from .videocampus_sachsen import (
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)
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from .videodetective import VideoDetectiveIE
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from .videofyme import VideofyMeIE
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from .videoken import (
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VideoKenIE,
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VideoKenPlayerIE,
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VideoKenPlaylistIE,
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VideoKenCategoryIE,
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VideoKenTopicIE,
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)
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from .videomore import (
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VideomoreIE,
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VideomoreVideoIE,
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336
yt_dlp/extractor/videoken.py
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336
yt_dlp/extractor/videoken.py
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@ -0,0 +1,336 @@
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import base64
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import functools
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import math
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import re
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import time
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import urllib.parse
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from .common import InfoExtractor
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from .slideslive import SlidesLiveIE
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from ..utils import (
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ExtractorError,
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InAdvancePagedList,
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int_or_none,
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traverse_obj,
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update_url_query,
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url_or_none,
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)
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class VideoKenBaseIE(InfoExtractor):
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_ORGANIZATIONS = {
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'videos.icts.res.in': 'icts',
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'videos.cncf.io': 'cncf',
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'videos.neurips.cc': 'neurips',
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}
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_BASE_URL_RE = rf'https?://(?P<host>{"|".join(map(re.escape, _ORGANIZATIONS))})/'
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_PAGE_SIZE = 12
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def _get_org_id_and_api_key(self, org, video_id):
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details = self._download_json(
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f'https://analytics.videoken.com/api/videolake/{org}/details', video_id,
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note='Downloading organization ID and API key', headers={
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'Accept': 'application/json',
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})
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return details['id'], details['apikey']
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def _create_slideslive_url(self, video_url, video_id, referer):
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if not video_url and not video_id:
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return
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elif not video_url or 'embed/sign-in' in video_url:
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video_url = f'https://slideslive.com/embed/{video_id.lstrip("slideslive-")}'
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if url_or_none(referer):
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return update_url_query(video_url, {
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'embed_parent_url': referer,
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'embed_container_origin': f'https://{urllib.parse.urlparse(referer).netloc}',
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})
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return video_url
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def _extract_videos(self, videos, url):
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for video in traverse_obj(videos, (('videos', 'results'), ...)):
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video_id = traverse_obj(video, 'youtube_id', 'videoid')
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if not video_id:
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continue
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ie_key = None
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if traverse_obj(video, 'type', 'source') == 'youtube':
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video_url = video_id
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ie_key = 'Youtube'
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else:
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video_url = traverse_obj(video, 'embed_url', 'embeddableurl')
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if urllib.parse.urlparse(video_url).netloc == 'slideslive.com':
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ie_key = SlidesLiveIE
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video_url = self._create_slideslive_url(video_url, video_id, url)
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if not video_url:
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continue
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yield self.url_result(video_url, ie_key, video_id)
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class VideoKenIE(VideoKenBaseIE):
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_VALID_URL = VideoKenBaseIE._BASE_URL_RE + r'(?:(?:topic|category)/[^/#?]+/)?video/(?P<id>[\w-]+)'
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_TESTS = [{
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# neurips -> videoken -> slideslive
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'url': 'https://videos.neurips.cc/video/slideslive-38922815',
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'info_dict': {
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'id': '38922815',
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'ext': 'mp4',
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'title': 'Efficient Processing of Deep Neural Network: from Algorithms to Hardware Architectures',
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'timestamp': 1630939331,
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'upload_date': '20210906',
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'thumbnail': r're:^https?://.*\.(?:jpg|png)',
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'thumbnails': 'count:330',
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'chapters': 'count:329',
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},
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'params': {
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'skip_download': 'm3u8',
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},
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'expected_warnings': ['Failed to download VideoKen API JSON'],
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}, {
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# neurips -> videoken -> slideslive -> youtube
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'url': 'https://videos.neurips.cc/topic/machine%20learning/video/slideslive-38923348',
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'info_dict': {
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'id': '2Xa_dt78rJE',
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'ext': 'mp4',
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'display_id': '38923348',
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'title': 'Machine Education',
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'description': 'Watch full version of this video at https://slideslive.com/38923348.',
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'channel': 'SlidesLive Videos - G2',
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'channel_id': 'UCOExahQQ588Da8Nft_Ltb9w',
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'channel_url': 'https://www.youtube.com/channel/UCOExahQQ588Da8Nft_Ltb9w',
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'uploader': 'SlidesLive Videos - G2',
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'uploader_id': 'UCOExahQQ588Da8Nft_Ltb9w',
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'uploader_url': 'http://www.youtube.com/channel/UCOExahQQ588Da8Nft_Ltb9w',
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'duration': 2504,
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'timestamp': 1618922125,
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'upload_date': '20200131',
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'age_limit': 0,
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'channel_follower_count': int,
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'view_count': int,
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'availability': 'unlisted',
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'live_status': 'not_live',
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'playable_in_embed': True,
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'categories': ['People & Blogs'],
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'tags': [],
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'thumbnail': r're:^https?://.*\.(?:jpg|webp)',
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'thumbnails': 'count:78',
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'chapters': 'count:77',
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},
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'params': {
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'skip_download': 'm3u8',
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},
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'expected_warnings': ['Failed to download VideoKen API JSON'],
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}, {
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# icts -> videoken -> youtube
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'url': 'https://videos.icts.res.in/topic/random%20variable/video/zysIsojYdvc',
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'info_dict': {
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'id': 'zysIsojYdvc',
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'ext': 'mp4',
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'title': 'Small-worlds, complex networks and random graphs (Lecture 3) by Remco van der Hofstad',
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'description': 'md5:87433069d79719eeadc1962cc2ace00b',
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'channel': 'International Centre for Theoretical Sciences',
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'channel_id': 'UCO3xnVTHzB7l-nc8mABUJIQ',
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'channel_url': 'https://www.youtube.com/channel/UCO3xnVTHzB7l-nc8mABUJIQ',
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'uploader': 'International Centre for Theoretical Sciences',
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'uploader_id': 'ICTStalks',
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'uploader_url': 'http://www.youtube.com/user/ICTStalks',
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'duration': 3372,
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'upload_date': '20191004',
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'age_limit': 0,
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'live_status': 'not_live',
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'availability': 'public',
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'playable_in_embed': True,
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'channel_follower_count': int,
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'like_count': int,
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'view_count': int,
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'categories': ['Science & Technology'],
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'tags': [],
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'thumbnail': r're:^https?://.*\.(?:jpg|webp)',
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'thumbnails': 'count:42',
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'chapters': 'count:20',
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},
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'params': {
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'skip_download': 'm3u8',
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},
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}, {
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'url': 'https://videos.cncf.io/category/478/video/IL4nxbmUIX8',
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'only_matching': True,
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}, {
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'url': 'https://videos.cncf.io/topic/kubernetes/video/YAM2d7yTrrI',
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'only_matching': True,
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}, {
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'url': 'https://videos.icts.res.in/video/d7HuP_abpKU',
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'only_matching': True,
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}]
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def _real_extract(self, url):
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hostname, video_id = self._match_valid_url(url).group('host', 'id')
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org_id, _ = self._get_org_id_and_api_key(self._ORGANIZATIONS[hostname], video_id)
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details = self._download_json(
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'https://analytics.videoken.com/api/videoinfo_private', video_id, query={
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'videoid': video_id,
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'org_id': org_id,
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}, headers={'Accept': 'application/json'}, note='Downloading VideoKen API JSON',
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errnote='Failed to download VideoKen API JSON', fatal=False)
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if details:
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return next(self._extract_videos({'videos': [details]}, url))
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# fallback for API error 400 response
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elif video_id.startswith('slideslive-'):
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return self.url_result(
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self._create_slideslive_url(None, video_id, url), SlidesLiveIE, video_id)
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elif re.match(r'^[\w-]{11}$', video_id):
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self.url_result(video_id, 'Youtube', video_id)
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else:
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raise ExtractorError('Unable to extract without VideoKen API response')
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class VideoKenPlayerIE(VideoKenBaseIE):
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_VALID_URL = r'https?://player\.videoken\.com/embed/slideslive-(?P<id>\d+)'
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_TESTS = [{
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'url': 'https://player.videoken.com/embed/slideslive-38968434',
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'info_dict': {
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'id': '38968434',
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'ext': 'mp4',
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'title': 'Deep Learning with Label Differential Privacy',
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'timestamp': 1643377020,
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'upload_date': '20220128',
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'thumbnail': r're:^https?://.*\.(?:jpg|png)',
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'thumbnails': 'count:30',
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'chapters': 'count:29',
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},
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'params': {
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'skip_download': 'm3u8',
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},
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}]
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def _real_extract(self, url):
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video_id = self._match_id(url)
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return self.url_result(
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self._create_slideslive_url(None, video_id, url), SlidesLiveIE, video_id)
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class VideoKenPlaylistIE(VideoKenBaseIE):
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_VALID_URL = VideoKenBaseIE._BASE_URL_RE + r'(?:category/\d+/)?playlist/(?P<id>\d+)'
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_TESTS = [{
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'url': 'https://videos.icts.res.in/category/1822/playlist/381',
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'playlist_mincount': 117,
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'info_dict': {
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'id': '381',
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'title': 'Cosmology - The Next Decade',
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},
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}]
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def _real_extract(self, url):
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hostname, playlist_id = self._match_valid_url(url).group('host', 'id')
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org_id, _ = self._get_org_id_and_api_key(self._ORGANIZATIONS[hostname], playlist_id)
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videos = self._download_json(
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f'https://analytics.videoken.com/api/{org_id}/playlistitems/{playlist_id}/',
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playlist_id, headers={'Accept': 'application/json'}, note='Downloading API JSON')
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return self.playlist_result(self._extract_videos(videos, url), playlist_id, videos.get('title'))
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class VideoKenCategoryIE(VideoKenBaseIE):
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_VALID_URL = VideoKenBaseIE._BASE_URL_RE + r'category/(?P<id>\d+)/?(?:$|[?#])'
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_TESTS = [{
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'url': 'https://videos.icts.res.in/category/1822/',
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'playlist_mincount': 500,
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'info_dict': {
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'id': '1822',
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'title': 'Programs',
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},
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}, {
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'url': 'https://videos.neurips.cc/category/350/',
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'playlist_mincount': 34,
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'info_dict': {
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'id': '350',
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'title': 'NeurIPS 2018',
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},
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}, {
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'url': 'https://videos.cncf.io/category/479/',
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'playlist_mincount': 328,
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'info_dict': {
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'id': '479',
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'title': 'KubeCon + CloudNativeCon Europe\'19',
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},
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}]
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def _get_category_page(self, category_id, org_id, page=1, note=None):
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return self._download_json(
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f'https://analytics.videoken.com/api/videolake/{org_id}/category_videos', category_id,
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fatal=False, note=note if note else f'Downloading category page {page}',
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query={
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'category_id': category_id,
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'page_number': page,
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'length': self._PAGE_SIZE,
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}, headers={'Accept': 'application/json'}) or {}
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def _entries(self, category_id, org_id, url, page):
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videos = self._get_category_page(category_id, org_id, page + 1)
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yield from self._extract_videos(videos, url)
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def _real_extract(self, url):
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hostname, category_id = self._match_valid_url(url).group('host', 'id')
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org_id, _ = self._get_org_id_and_api_key(self._ORGANIZATIONS[hostname], category_id)
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category_info = self._get_category_page(category_id, org_id, note='Downloading category info')
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category = category_info['category_name']
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total_pages = math.ceil(int(category_info['recordsTotal']) / self._PAGE_SIZE)
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return self.playlist_result(InAdvancePagedList(
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functools.partial(self._entries, category_id, org_id, url),
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total_pages, self._PAGE_SIZE), category_id, category)
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class VideoKenTopicIE(VideoKenBaseIE):
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_VALID_URL = VideoKenBaseIE._BASE_URL_RE + r'topic/(?P<id>[^/#?]+)/?(?:$|[?#])'
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_TESTS = [{
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'url': 'https://videos.neurips.cc/topic/machine%20learning/',
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'playlist_mincount': 500,
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'info_dict': {
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'id': 'machine_learning',
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'title': 'machine learning',
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},
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}, {
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'url': 'https://videos.icts.res.in/topic/gravitational%20waves/',
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'playlist_mincount': 77,
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'info_dict': {
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'id': 'gravitational_waves',
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'title': 'gravitational waves'
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},
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}, {
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'url': 'https://videos.cncf.io/topic/prometheus/',
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'playlist_mincount': 134,
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'info_dict': {
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'id': 'prometheus',
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'title': 'prometheus',
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},
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}]
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def _get_topic_page(self, topic, org_id, search_id, api_key, page=1, note=None):
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return self._download_json(
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'https://es.videoken.com/api/v1.0/get_results', topic, fatal=False, query={
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'orgid': org_id,
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'size': self._PAGE_SIZE,
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'query': topic,
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'page': page,
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'sort': 'upload_desc',
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'filter': 'all',
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'token': api_key,
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'is_topic': 'true',
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'category': '',
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'searchid': search_id,
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}, headers={'Accept': 'application/json'},
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note=note if note else f'Downloading topic page {page}') or {}
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def _entries(self, topic, org_id, search_id, api_key, url, page):
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videos = self._get_topic_page(topic, org_id, search_id, api_key, page + 1)
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yield from self._extract_videos(videos, url)
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def _real_extract(self, url):
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hostname, topic_id = self._match_valid_url(url).group('host', 'id')
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topic = urllib.parse.unquote(topic_id)
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topic_id = topic.replace(' ', '_')
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org_id, api_key = self._get_org_id_and_api_key(self._ORGANIZATIONS[hostname], topic)
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search_id = base64.b64encode(f':{topic}:{int(time.time())}:transient'.encode()).decode()
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total_pages = int_or_none(self._get_topic_page(
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topic, org_id, search_id, api_key, note='Downloading topic info')['total_no_of_pages'])
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return self.playlist_result(InAdvancePagedList(
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functools.partial(self._entries, topic, org_id, search_id, api_key, url),
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total_pages, self._PAGE_SIZE), topic_id, topic)
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