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data-maker/pipeline.py

363 lines
13 KiB
Python

#!/usr/bin/env python3
5 years ago
SQL = SQL.replace(':dataset',args['dataset']) #+ " LIMIT 1000 "
_args['gpu'] = args['gpu'] if 'gpu' in args else 0
# In case we want slow-mode, we can store the partitions in mongodb and process (Yes|No)?
#
# _args['num_gpu'] = int(args['num_gpu']) if 'num_gpu' in args else 1
@staticmethod
def callback(channel,method,header,stream):
args['dataset'] = 'combined20191004v2_deid'
else:
generator.generate(args)
# Components.generate(args)
elif 'listen' in args :
#
# This will start a worker just in case to listen to a queue