chapter_time, chapter_title, duration)
for contents in content_list)), [])
- def _extract_heatmap_from_player_overlay(self, data):
- content_list = traverse_obj(data, (
- 'playerOverlays', 'playerOverlayRenderer', 'decoratedPlayerBarRenderer', 'decoratedPlayerBarRenderer', 'playerBar',
- 'multiMarkersPlayerBarRenderer', 'markersMap', ..., 'value', 'heatmap', 'heatmapRenderer', 'heatMarkers', {list}))
- return next(filter(None, (
- traverse_obj(contents, (..., 'heatMarkerRenderer', {
- 'start_time': ('timeRangeStartMillis', {functools.partial(float_or_none, scale=1000)}),
- 'end_time': {lambda x: (x['timeRangeStartMillis'] + x['markerDurationMillis']) / 1000},
- 'value': ('heatMarkerIntensityScoreNormalized', {float_or_none}),
- })) for contents in content_list)), None)
+ def _extract_heatmap(self, data):
+ return traverse_obj(data, (
+ 'frameworkUpdates', 'entityBatchUpdate', 'mutations',
+ lambda _, v: v['payload']['macroMarkersListEntity']['markersList']['markerType'] == 'MARKER_TYPE_HEATMAP',
+ 'payload', 'macroMarkersListEntity', 'markersList', 'markers', ..., {
+ 'start_time': ('startMillis', {functools.partial(float_or_none, scale=1000)}),
+ 'end_time': {lambda x: (int(x['startMillis']) + int(x['durationMillis'])) / 1000},
+ 'value': ('intensityScoreNormalized', {float_or_none}),
+ })) or None
def _extract_comment(self, comment_renderer, parent=None):
comment_id = comment_renderer.get('commentId')
or self._extract_chapters_from_description(video_description, duration)
or None)
- info['heatmap'] = self._extract_heatmap_from_player_overlay(initial_data)
+ info['heatmap'] = self._extract_heatmap(initial_data)
contents = traverse_obj(
initial_data, ('contents', 'twoColumnWatchNextResults', 'results', 'results', 'contents'),