def initMedia(self):
"Init media by analyzing the MPD and the media files."
for adaptation_set in self.mpdProcessor.get_adaptation_sets():
content_type = adaptation_set.content_type
if content_type is None:
print "No contentType for adaptation set"
sys.exit(1)
if self.as_data.has_key(content_type):
raise DashAnalyzerError(
"Multiple adaptation sets for contentType " + content_type)
as_data = {'as': adaptation_set, 'reps': []}
as_data[
'presentationDurationInS'] = self.mpdProcessor.media_presentation_duration_in_s
self.as_data[content_type] = as_data
for rep in adaptation_set.representations:
rep_data = {'representation': rep, 'id': rep.rep_id}
as_data['reps'].append(rep_data)
initPath = rep.initialization_path
rep_data['relInitPath'] = initPath
rep_data['absInitPath'] = os.path.join(self.base_path,
initPath)
init_filter = initsegmentfilter.InitFilter(
rep_data['absInitPath'])
init_filter.filter()
rep_data['trackID'] = init_filter.track_id
print "%s trackID = %d" % (content_type, rep_data['trackID'])
rep_data['relMediaPath'] = rep.get_media_path()
rep_data['absMediaPath'] = os.path.join(
self.base_path, rep.get_media_path())
rep_data['default_sample_duration'] = \
init_filter.default_sample_duration
self.getSegmentRange(rep_data)
track_timescale = init_filter.track_timescale
if not as_data.has_key('track_timescale'):
as_data['track_timescale'] = track_timescale
elif track_timescale != as_data['track_timescale']:
raise DashAnalyzerError(
"Timescales not consistent between %s tracks" %
content_type)
if self.verbose:
print "%s data: " % content_type
for (k, v) in rep_data.items():
print " %s=%s" % (k, v)
def setUp(self):
fileName = join(CONTENT_ROOT, "testpic/A1/init.mp4")
self.f = initsegmentfilter.InitFilter(fileName)
self.f.filter()