def api_dataset_init():
global current_collection_index, current_ds_index
request_id = request.args.get('requestID', type=int)
ds_collection_index = request.args.get('dsCollectionIndex', type=int)
st = request.args.get('st', 0.2, type=float)
with lock:
if ds_collection_index >= len(datasets) or ds_collection_index < 0:
raise InvalidUsage('Dataset collection index out of bound')
if st < 0:
raise InvalidUsage('Invalid similarity threshold value')
# Unload the current dataset in memory
if current_ds_index != -1:
onex.unloadDataset(current_ds_index)
app.logger.debug('Unloaded dataset %d', current_collection_index)
# Load the new dataset
current_collection_index = ds_collection_index
ds_path = str(datasets[current_collection_index].get('path'))
ds_name = str(datasets[current_collection_index].get('name'))
ds_metadata = datasets[current_collection_index].get('metadata')
current_ds_index = onex.loadDataset(ds_path)
metadata = None
if ds_metadata:
with open(ds_metadata) as metadata_file:
metadata = json.load(metadata_file)
else:
app.logger.info('No metadata found for dataset %s', ds_name)
app.logger.debug('Loaded dataset %d [%s]', current_collection_index,
ds_name)
# Normalize the new dataset
app.logger.debug('Normalizing dataset %d', current_collection_index)
normalization = onex.normalizeDataset(current_ds_index)
normalization = {'max': normalization[0], 'min': normalization[1]}
app.logger.info('Normalized dataset %d', current_collection_index)
# Group the new dataset
app.logger.debug('Grouping dataset %d with st = %f',
current_collection_index, st)
num_groups = onex.groupDataset(current_ds_index, st)
app.logger.info('Grouped dataset %d with st = %f. Created %d groups',
current_collection_index, st, num_groups)
# Return number of sequences in the dataset
ds_length = onex.getDatasetSeqCount(current_ds_index)
return jsonify(dsLength=ds_length,
metadata=metadata,
normalization=normalization,
numGroups=num_groups,
requestID=request_id)
import ONEXBindings as onex
import matplotlib.pyplot as plt
warp = 50
ST = 0.2
dataset = '../../ONEX-tmp/ONEX-tmp/ndata/ECG.txt'
query = '../../ONEX-tmp/ONEX-tmp/ndata/Query.txt'
dbIndex = onex.loadDataset(dataset)
print 'Loaded dataset in {}, index = {}'.format(dataset, dbIndex)
onex.groupDataset(dbIndex, ST)
# v = onex.getGroupValues(dbIndex, 0)
# for l in v:
# print 'ts:'
# print l
#reps = onex.getGroupRepresentatives(dbIndex)
#for reps, c in reps:
# print 'Group with {0} members'.format(c)
# print reps
qIndex = 0
qSeqs = [74, 1, 2, 3, 4, 5, 6, 7, 8, 9]
qStarts = [0, 2, 3, 20, 1, 1, 3, 3, 1, 1]
qEnds = [95, 60, 50, 70, 80, 59, 99, 40, 77, 100]
#num_test = len(qSeqs)
num_test = 4