mirror of https://github.com/yt-dlp/yt-dlp.git
[ie/youtube] Fix `heatmap` extraction (#8299)
Closes #8189 Authored by: bashonly
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@ -3292,16 +3292,15 @@ class YoutubeIE(YoutubeBaseInfoExtractor):
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chapter_time, chapter_title, duration)
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chapter_time, chapter_title, duration)
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for contents in content_list)), [])
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for contents in content_list)), [])
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def _extract_heatmap_from_player_overlay(self, data):
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def _extract_heatmap(self, data):
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content_list = traverse_obj(data, (
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return traverse_obj(data, (
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'playerOverlays', 'playerOverlayRenderer', 'decoratedPlayerBarRenderer', 'decoratedPlayerBarRenderer', 'playerBar',
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'frameworkUpdates', 'entityBatchUpdate', 'mutations',
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'multiMarkersPlayerBarRenderer', 'markersMap', ..., 'value', 'heatmap', 'heatmapRenderer', 'heatMarkers', {list}))
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lambda _, v: v['payload']['macroMarkersListEntity']['markersList']['markerType'] == 'MARKER_TYPE_HEATMAP',
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return next(filter(None, (
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'payload', 'macroMarkersListEntity', 'markersList', 'markers', ..., {
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traverse_obj(contents, (..., 'heatMarkerRenderer', {
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'start_time': ('startMillis', {functools.partial(float_or_none, scale=1000)}),
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'start_time': ('timeRangeStartMillis', {functools.partial(float_or_none, scale=1000)}),
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'end_time': {lambda x: (int(x['startMillis']) + int(x['durationMillis'])) / 1000},
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'end_time': {lambda x: (x['timeRangeStartMillis'] + x['markerDurationMillis']) / 1000},
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'value': ('intensityScoreNormalized', {float_or_none}),
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'value': ('heatMarkerIntensityScoreNormalized', {float_or_none}),
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})) or None
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})) for contents in content_list)), None)
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def _extract_comment(self, comment_renderer, parent=None):
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def _extract_comment(self, comment_renderer, parent=None):
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comment_id = comment_renderer.get('commentId')
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comment_id = comment_renderer.get('commentId')
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@ -4435,7 +4434,7 @@ class YoutubeIE(YoutubeBaseInfoExtractor):
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or self._extract_chapters_from_description(video_description, duration)
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or self._extract_chapters_from_description(video_description, duration)
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or None)
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or None)
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info['heatmap'] = self._extract_heatmap_from_player_overlay(initial_data)
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info['heatmap'] = self._extract_heatmap(initial_data)
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contents = traverse_obj(
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contents = traverse_obj(
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initial_data, ('contents', 'twoColumnWatchNextResults', 'results', 'results', 'contents'),
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initial_data, ('contents', 'twoColumnWatchNextResults', 'results', 'results', 'contents'),
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