115 lines
4.1 KiB
Python
115 lines
4.1 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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from .common import InfoExtractor
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from ..compat import compat_str
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from ..utils import (
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int_or_none,
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float_or_none,
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try_get,
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unified_timestamp,
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)
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class FlipagramIE(InfoExtractor):
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_VALID_URL = r'https?://(?:www\.)?flipagram\.com/f/(?P<id>[^/?#&]+)'
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_TEST = {
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'url': 'https://flipagram.com/f/nyvTSJMKId',
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'md5': '888dcf08b7ea671381f00fab74692755',
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'info_dict': {
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'id': 'nyvTSJMKId',
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'ext': 'mp4',
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'title': 'Flipagram by sjuria101 featuring Midnight Memories by One Direction',
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'description': 'md5:d55e32edc55261cae96a41fa85ff630e',
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'duration': 35.571,
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'timestamp': 1461244995,
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'upload_date': '20160421',
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'uploader': 'kitty juria',
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'uploader_id': 'sjuria101',
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'creator': 'kitty juria',
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'view_count': int,
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'like_count': int,
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'repost_count': int,
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'comment_count': int,
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'comments': list,
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'formats': 'mincount:2',
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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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video_data = self._parse_json(
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self._search_regex(
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r'window\.reactH2O\s*=\s*({.+});', webpage, 'video data'),
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video_id)
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flipagram = video_data['flipagram']
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video = flipagram['video']
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json_ld = self._search_json_ld(webpage, video_id, default={})
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title = json_ld.get('title') or flipagram['captionText']
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description = json_ld.get('description') or flipagram.get('captionText')
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formats = [{
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'url': video['url'],
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'width': int_or_none(video.get('width')),
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'height': int_or_none(video.get('height')),
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'filesize': int_or_none(video_data.get('size')),
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}]
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preview_url = try_get(
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flipagram, lambda x: x['music']['track']['previewUrl'], compat_str)
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if preview_url:
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formats.append({
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'url': preview_url,
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'ext': 'm4a',
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'vcodec': 'none',
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})
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self._sort_formats(formats)
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counts = flipagram.get('counts', {})
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user = flipagram.get('user', {})
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video_data = flipagram.get('video', {})
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thumbnails = [{
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'url': self._proto_relative_url(cover['url']),
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'width': int_or_none(cover.get('width')),
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'height': int_or_none(cover.get('height')),
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'filesize': int_or_none(cover.get('size')),
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} for cover in flipagram.get('covers', []) if cover.get('url')]
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# Note that this only retrieves comments that are initially loaded.
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# For videos with large amounts of comments, most won't be retrieved.
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comments = []
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for comment in video_data.get('comments', {}).get(video_id, {}).get('items', []):
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text = comment.get('comment')
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if not text or not isinstance(text, list):
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continue
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comments.append({
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'author': comment.get('user', {}).get('name'),
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'author_id': comment.get('user', {}).get('username'),
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'id': comment.get('id'),
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'text': text[0],
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'timestamp': unified_timestamp(comment.get('created')),
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})
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return {
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'id': video_id,
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'title': title,
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'description': description,
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'duration': float_or_none(flipagram.get('duration'), 1000),
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'thumbnails': thumbnails,
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'timestamp': unified_timestamp(flipagram.get('iso8601Created')),
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'uploader': user.get('name'),
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'uploader_id': user.get('username'),
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'creator': user.get('name'),
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'view_count': int_or_none(counts.get('plays')),
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'like_count': int_or_none(counts.get('likes')),
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'repost_count': int_or_none(counts.get('reflips')),
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'comment_count': int_or_none(counts.get('comments')),
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'comments': comments,
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'formats': formats,
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}
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