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