aou/data-maker
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data-maker
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bug fix

This commit is contained in:
Steve Nyemba 2020-04-15 15:51:53 -05:00
parent f9da0f1ce7
commit f920ba0eda
1 changed files with 17 additions and 12 deletions
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29
pipeline.py
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@ -216,6 +216,15 @@ class Components :
# let us fix the data types here every _id field will be an np.int64...
#
schema = args['schema']
for item in schema :
if item.field_type == 'INTEGER' and df[item.name].dtype != np.int64:
df[item.name] = np.array(df[item.name].values,dtype=np.int64)
elif item.field_type == 'STRING' and df[item.name].dtype != object :
df[item.name] = np.array(df[item.name],dtype=object)
# for name in df.columns.tolist():
# if name.endswith('_id') :
@ -243,7 +252,7 @@ class Components :
# performing basic analytics on the synthetic data generated (easy to quickly asses)
#
info = {"module":"generate","action":"io.metrics","input":{"rows":data_comp.shape[0],"partition":partition,"logs":[]}}
x = {}
#
# @TODO: Send data over to a process for analytics
@ -267,10 +276,6 @@ class Components :
_id = 'path'
else:
client = bq.Client.from_service_account_json(args["private_key"])
full_schema = client.get_table(client.dataset(args['dataset']).table(args['from'])).schema
full_schema = [{'name':item.name,'type':item.field_type,'description':item.description} for item in full_schema]
io_schema = [{'name':item['name'],'type':item['type'],'description':item['description']} for item in full_schema if item['name'] in args['columns']]
credentials = service_account.Credentials.from_service_account_file('/home/steve/dev/aou/accounts/curation-prod.json')
_pname = os.sep.join([folder,table+'.csv'])
@ -282,12 +287,8 @@ class Components :
print (_args['data'].head())
else:
Components.lock.acquire()
data_comp.to_gbq(if_exists='append',destination_table=partial,credentials=credentials,chunksize=90000,table_schema=io_schema)
INSERT_FLAG = 'replace' if 'partition' not in args or 'segment' not in args else 'append'
_args['data'].to_gbq(if_exists='append',destination_table=complete,credentials=credentials,chunksize=90000,table_schema=full_schema)
data_comp.to_gbq(if_exists='append',destination_table=partial,credentials=credentials,chunksize=90000)
_args['data'].to_gbq(if_exists='append',destination_table=complete,credentials=credentials,chunksize=90000)
Components.lock.release()
_id = 'dataset'
info = {"full":{_id:_fname,"rows":_args['data'].shape[0]},"partial":{"path":_pname,"rows":data_comp.shape[0]} }
@ -340,11 +341,15 @@ if __name__ == '__main__' :
# if 'listen' not in SYS_ARGS :
if 'file' in args :
DATA = pd.read_csv(args['file']) ;
schema = []
else:
DATA = Components().get(args)
client = bq.Client.from_service_account_json(args["private_key"])
schema = client.get_table(client.dataset(args['dataset']).table(args['from'])).schema
COLUMNS = DATA.columns
DATA = np.array_split(DATA,PART_SIZE)
args['schema'] = schema
if 'generate' in SYS_ARGS :
#
# Let us see if we have partitions given the log folder