mirror of
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68 lines
3 KiB
Python
68 lines
3 KiB
Python
from .common import InfoExtractor
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from ..utils import (
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clean_html,
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float_or_none,
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traverse_obj,
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try_call,
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)
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# Video from www.kompas.tv and video.kompas.com seems use jixie player
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# see [1] https://jixie.atlassian.net/servicedesk/customer/portal/2/article/1339654214?src=-1456335525,
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# [2] https://scripts.jixie.media/jxvideo.3.1.min.js for more info
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class KompasVideoIE(InfoExtractor):
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_VALID_URL = r'https?://video\.kompas\.com/\w+/(?P<id>\d+)/(?P<slug>[\w-]+)'
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_TESTS = [{
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'url': 'https://video.kompas.com/watch/164474/kim-jong-un-siap-kirim-nuklir-lawan-as-dan-korsel',
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'info_dict': {
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'id': '164474',
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'ext': 'mp4',
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'title': 'Kim Jong Un Siap Kirim Nuklir Lawan AS dan Korsel',
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'description': 'md5:262530c4fb7462398235f9a5dba92456',
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'uploader_id': '9262bf2590d558736cac4fff7978fcb1',
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'display_id': 'kim-jong-un-siap-kirim-nuklir-lawan-as-dan-korsel',
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'duration': 85.066667,
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'categories': ['news'],
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'thumbnail': 'https://video.jixie.media/1001/164474/164474_1280x720.jpg',
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'tags': 'count:9',
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}
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}]
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def _real_extract(self, url):
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video_id, display_id = self._match_valid_url(url).group('id', 'slug')
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webpage = self._download_webpage(url, display_id)
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json_data = self._download_json(
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'https://apidam.jixie.io/api/public/stream', display_id,
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query={'metadata': 'full', 'video_id': video_id})['data']
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formats, subtitles = [], {}
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for stream in json_data['streams']:
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if stream.get('type') == 'HLS':
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fmt, sub = self._extract_m3u8_formats_and_subtitles(stream.get('url'), display_id, ext='mp4')
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formats.extend(fmt)
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self._merge_subtitles(sub, target=subtitles)
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else:
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formats.append({
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'url': stream.get('url'),
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'width': stream.get('width'),
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'height': stream.get('height'),
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'ext': 'mp4',
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})
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self._sort_formats(formats)
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return {
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'id': video_id,
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'display_id': display_id,
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'formats': formats,
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'subtitles': subtitles,
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'title': json_data.get('title') or self._html_search_meta(['og:title', 'twitter:title'], webpage),
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'description': (clean_html(traverse_obj(json_data, ('metadata', 'description')))
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or self._html_search_meta(['description', 'og:description', 'twitter:description'], webpage)),
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'thumbnails': traverse_obj(json_data, ('metadata', 'thumbnails')),
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'duration': float_or_none(traverse_obj(json_data, ('metadata', 'duration'))),
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'tags': try_call(lambda: json_data['metadata']['keywords'].split(',')),
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'categories': try_call(lambda: json_data['metadata']['categories'].split(',')),
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'uploader_id': json_data.get('owner_id'),
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}
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