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data-maker/pipeline.py

699 lines
23 KiB
Python

#!/usr/bin/env python3
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class KEYS :
logger.write({"module":"bigquery","action":"read","input":{"sql":SQL}})
if 'autopilot' in ( list(args.keys())) :
else:
if df[name].unique().size > 0 :
def generate(self,args):
dtype = str
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#
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# for name in args['ignore']['columns'] :
# base_cols = list(set(_args['data'].columns) - set(args['columns'])) #-- rebuilt the dataset (and store it)
# cols = _dc.columns.tolist()
# for name in cols :
# _args['data'][name] = _dc[name]
filename = SYS_ARGS['config'] if 'config' in SYS_ARGS else 'config.json'
f = open (filename)