mirror of
https://github.com/yt-dlp/yt-dlp.git
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264 lines
9.9 KiB
Python
264 lines
9.9 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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from itertools import zip_longest
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import re
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from .common import InfoExtractor
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from ..utils import (
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clean_html,
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extract_attributes,
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ExtractorError,
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float_or_none,
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get_element_by_class,
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int_or_none,
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srt_subtitles_timecode,
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strip_or_none,
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mimetype2ext,
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try_get,
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urlencode_postdata,
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urljoin,
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)
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class LinkedInBaseIE(InfoExtractor):
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_NETRC_MACHINE = 'linkedin'
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_logged_in = False
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def _real_initialize(self):
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if self._logged_in:
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return
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email, password = self._get_login_info()
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if email is None:
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return
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login_page = self._download_webpage(
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self._LOGIN_URL, None, 'Downloading login page')
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action_url = urljoin(self._LOGIN_URL, self._search_regex(
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r'<form[^>]+action=(["\'])(?P<url>.+?)\1', login_page, 'post url',
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default='https://www.linkedin.com/uas/login-submit', group='url'))
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data = self._hidden_inputs(login_page)
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data.update({
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'session_key': email,
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'session_password': password,
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})
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login_submit_page = self._download_webpage(
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action_url, None, 'Logging in',
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data=urlencode_postdata(data))
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error = self._search_regex(
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r'<span[^>]+class="error"[^>]*>\s*(.+?)\s*</span>',
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login_submit_page, 'error', default=None)
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if error:
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raise ExtractorError(error, expected=True)
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LinkedInBaseIE._logged_in = True
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class LinkedInLearningBaseIE(LinkedInBaseIE):
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_LOGIN_URL = 'https://www.linkedin.com/uas/login?trk=learning'
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def _call_api(self, course_slug, fields, video_slug=None, resolution=None):
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query = {
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'courseSlug': course_slug,
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'fields': fields,
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'q': 'slugs',
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}
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sub = ''
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if video_slug:
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query.update({
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'videoSlug': video_slug,
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'resolution': '_%s' % resolution,
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})
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sub = ' %dp' % resolution
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api_url = 'https://www.linkedin.com/learning-api/detailedCourses'
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if not self._get_cookies(api_url).get('JSESSIONID'):
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self.raise_login_required()
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return self._download_json(
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api_url, video_slug, 'Downloading%s JSON metadata' % sub, headers={
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'Csrf-Token': self._get_cookies(api_url)['JSESSIONID'].value,
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}, query=query)['elements'][0]
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def _get_urn_id(self, video_data):
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urn = video_data.get('urn')
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if urn:
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mobj = re.search(r'urn:li:lyndaCourse:\d+,(\d+)', urn)
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if mobj:
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return mobj.group(1)
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def _get_video_id(self, video_data, course_slug, video_slug):
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return self._get_urn_id(video_data) or '%s/%s' % (course_slug, video_slug)
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class LinkedInIE(LinkedInBaseIE):
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_VALID_URL = r'https?://(?:www\.)?linkedin\.com/posts/.+?(?P<id>\d+)'
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_TESTS = [{
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'url': 'https://www.linkedin.com/posts/mishalkhawaja_sendinblueviews-toronto-digitalmarketing-ugcPost-6850898786781339649-mM20',
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'info_dict': {
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'id': '6850898786781339649',
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'ext': 'mp4',
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'title': 'Mishal K. on LinkedIn: #sendinblueviews #toronto #digitalmarketing',
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'description': 'md5:be125430bab1c574f16aeb186a4d5b19',
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'creator': 'Mishal K.'
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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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webpage = self._download_webpage(url, video_id)
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title = self._html_search_regex(r'<title>([^<]+)</title>', webpage, 'title')
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description = clean_html(get_element_by_class('share-update-card__update-text', webpage))
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like_count = int_or_none(get_element_by_class('social-counts-reactions__social-counts-numRections', webpage))
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creator = strip_or_none(clean_html(get_element_by_class('comment__actor-name', webpage)))
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sources = self._parse_json(extract_attributes(self._search_regex(r'(<video[^>]+>)', webpage, 'video'))['data-sources'], video_id)
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formats = [{
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'url': source['src'],
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'ext': mimetype2ext(source.get('type')),
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'tbr': float_or_none(source.get('data-bitrate'), scale=1000),
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} for source in sources]
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self._sort_formats(formats)
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return {
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'id': video_id,
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'formats': formats,
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'title': title,
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'like_count': like_count,
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'creator': creator,
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'thumbnail': self._og_search_thumbnail(webpage),
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'description': description,
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}
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class LinkedInLearningIE(LinkedInLearningBaseIE):
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IE_NAME = 'linkedin:learning'
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_VALID_URL = r'https?://(?:www\.)?linkedin\.com/learning/(?P<course_slug>[^/]+)/(?P<id>[^/?#]+)'
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_TEST = {
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'url': 'https://www.linkedin.com/learning/programming-foundations-fundamentals/welcome?autoplay=true',
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'md5': 'a1d74422ff0d5e66a792deb996693167',
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'info_dict': {
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'id': '90426',
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'ext': 'mp4',
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'title': 'Welcome',
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'timestamp': 1430396150.82,
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'upload_date': '20150430',
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},
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}
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def json2srt(self, transcript_lines, duration=None):
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srt_data = ''
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for line, (line_dict, next_dict) in enumerate(zip_longest(transcript_lines, transcript_lines[1:])):
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start_time, caption = line_dict['transcriptStartAt'] / 1000, line_dict['caption']
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end_time = next_dict['transcriptStartAt'] / 1000 if next_dict else duration or start_time + 1
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srt_data += '%d\n%s --> %s\n%s\n\n' % (line + 1, srt_subtitles_timecode(start_time),
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srt_subtitles_timecode(end_time),
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caption)
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return srt_data
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def _real_extract(self, url):
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course_slug, video_slug = self._match_valid_url(url).groups()
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formats = []
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for width, height in ((640, 360), (960, 540), (1280, 720)):
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video_data = self._call_api(
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course_slug, 'selectedVideo', video_slug, height)['selectedVideo']
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video_url_data = video_data.get('url') or {}
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progressive_url = video_url_data.get('progressiveUrl')
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if progressive_url:
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formats.append({
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'format_id': 'progressive-%dp' % height,
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'url': progressive_url,
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'ext': 'mp4',
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'height': height,
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'width': width,
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'source_preference': 1,
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})
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title = video_data['title']
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audio_url = video_data.get('audio', {}).get('progressiveUrl')
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if audio_url:
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formats.append({
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'abr': 64,
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'ext': 'm4a',
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'format_id': 'audio',
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'url': audio_url,
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'vcodec': 'none',
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})
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streaming_url = video_url_data.get('streamingUrl')
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if streaming_url:
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formats.extend(self._extract_m3u8_formats(
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streaming_url, video_slug, 'mp4',
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'm3u8_native', m3u8_id='hls', fatal=False))
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# It seems like this would be correctly handled by default
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# However, unless someone can confirm this, the old
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# behaviour is being kept as-is
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self._sort_formats(formats, ('res', 'source_preference'))
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subtitles = {}
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duration = int_or_none(video_data.get('durationInSeconds'))
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transcript_lines = try_get(video_data, lambda x: x['transcript']['lines'], expected_type=list)
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if transcript_lines:
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subtitles['en'] = [{
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'ext': 'srt',
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'data': self.json2srt(transcript_lines, duration)
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}]
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return {
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'id': self._get_video_id(video_data, course_slug, video_slug),
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'title': title,
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'formats': formats,
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'thumbnail': video_data.get('defaultThumbnail'),
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'timestamp': float_or_none(video_data.get('publishedOn'), 1000),
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'duration': duration,
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'subtitles': subtitles,
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}
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class LinkedInLearningCourseIE(LinkedInLearningBaseIE):
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IE_NAME = 'linkedin:learning:course'
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_VALID_URL = r'https?://(?:www\.)?linkedin\.com/learning/(?P<id>[^/?#]+)'
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_TEST = {
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'url': 'https://www.linkedin.com/learning/programming-foundations-fundamentals',
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'info_dict': {
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'id': 'programming-foundations-fundamentals',
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'title': 'Programming Foundations: Fundamentals',
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'description': 'md5:76e580b017694eb89dc8e8923fff5c86',
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},
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'playlist_mincount': 61,
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}
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@classmethod
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def suitable(cls, url):
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return False if LinkedInLearningIE.suitable(url) else super(LinkedInLearningCourseIE, cls).suitable(url)
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def _real_extract(self, url):
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course_slug = self._match_id(url)
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course_data = self._call_api(course_slug, 'chapters,description,title')
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entries = []
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for chapter_number, chapter in enumerate(course_data.get('chapters', []), 1):
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chapter_title = chapter.get('title')
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chapter_id = self._get_urn_id(chapter)
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for video in chapter.get('videos', []):
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video_slug = video.get('slug')
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if not video_slug:
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continue
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entries.append({
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'_type': 'url_transparent',
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'id': self._get_video_id(video, course_slug, video_slug),
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'title': video.get('title'),
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'url': 'https://www.linkedin.com/learning/%s/%s' % (course_slug, video_slug),
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'chapter': chapter_title,
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'chapter_number': chapter_number,
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'chapter_id': chapter_id,
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'ie_key': LinkedInLearningIE.ie_key(),
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})
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return self.playlist_result(
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entries, course_slug,
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course_data.get('title'),
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course_data.get('description'))
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