def get_analysis_data_for_queryset_or_sound_ids(view, queryset=None, sound_ids=[]):
# Get analysis data for all requested sounds and save it to a class variable so the serializer can access it and
# we only need one request to the similarity service
analysis_data_required = 'analysis' in view.request.QUERY_PARAMS.get('fields', '').split(',')
if analysis_data_required:
# Get ids of the particular sounds we need
if queryset:
paginated_queryset = view.paginate_queryset(queryset)
ids = [int(sound.id) for sound in paginated_queryset.object_list]
else:
ids = [int(sid) for sid in sound_ids]
# Get descriptor values for the required ids
# Required descriptors are indicated with the parameter 'descriptors'. If 'descriptors' is empty, we return nothing
descriptors = view.request.QUERY_PARAMS.get('descriptors', [])
view.sound_analysis_data = {}
if descriptors:
try:
view.sound_analysis_data = get_sounds_descriptors(ids,
descriptors.split(','),
view.request.QUERY_PARAMS.get('normalized', '0') == '1',
only_leaf_descriptors=True)
except:
pass
else:
for id in ids:
view.sound_analysis_data[str(id)] = 'No descriptors specified. You should indicate which descriptors you want with the \'descriptors\' request parameter.'
def get_analysis_data_for_queryset_or_sound_ids(view, queryset=None, sound_ids=[]):
# Get analysis data for all requested sounds and save it to a class variable so the serializer can access it and
# we only need one request to the similarity service
analysis_data_required = 'analysis' in view.request.QUERY_PARAMS.get('fields', '').split(',')
if analysis_data_required:
# Get ids of the particular sounds we need
if queryset:
paginated_queryset = view.paginate_queryset(queryset)
ids = [int(sound.id) for sound in paginated_queryset.object_list]
else:
ids = [int(sid) for sid in sound_ids]
# Get descriptor values for the required ids
# Required descriptors are indicated with the parameter 'descriptors'. If 'descriptors' is empty, we return nothing
descriptors = view.request.QUERY_PARAMS.get('descriptors', [])
view.sound_analysis_data = {}
if descriptors:
try:
view.sound_analysis_data = get_sounds_descriptors(ids,
descriptors.split(','),
view.request.QUERY_PARAMS.get('normalized', '0') == '1',
only_leaf_descriptors=True)
except:
pass
else:
for id in ids:
view.sound_analysis_data[str(id)] = 'No descriptors specified. You should indicate which descriptors you want with the \'descriptors\' request parameter.'
def prepare_single_sound_analysis(sound,request,filter):
try:
# Load file from disk
#analysis = yaml.load(file(sound.locations('analysis.statistics.path')))
# Get data from gaia
analysis = get_sounds_descriptors([sound.id], [], normalization=False, only_leaf_descriptors=False)[str(sound.id)]
except Exception, e:
raise e
raise Exception('Could not load analysis data.')
def get_analysis(self, obj):
# Get the sound descriptors from gaia
try:
descriptors = self.context['request'].GET.get('descriptors', [])
if descriptors:
return get_sounds_descriptors([obj.id],
descriptors.split(','),
self.context['request'].GET.get('normalized', '0') == '1',
only_leaf_descriptors=True)[str(obj.id)]
else:
return 'No descriptors specified. You should indicate which descriptors you want with the \'descriptors\' request parameter.'
except Exception, e:
return None
def get_analysis(self, obj):
# Get the sound descriptors from gaia
try:
descriptors = self.context['request'].GET.get('descriptors', [])
if descriptors:
return get_sounds_descriptors(
[obj.id],
descriptors.split(','),
self.context['request'].GET.get('normalized', '0') == '1',
only_leaf_descriptors=True)[str(obj.id)]
else:
return 'No descriptors specified. You should indicate which descriptors you want with the \'descriptors\' request parameter.'
except Exception, e:
return None