def unpivot(stream, common_fields, unpivot_name_field, unpivot_value_field): """Unpivot a table. Keep fields lines, use other as values""" for row in stream: if isinstance(row, StreamHeader): header = row.replace(fields=common_fields+[unpivot_name_field, unpivot_value_field]) other_fields = [field for field in row.fields if not field in common_fields] yield header elif isinstance(row, StreamMeta): yield row else: commons = [getattr(row, StreamHeader.keynormalize(f)) for f in common_fields] for field in other_fields: yield header.t._make(commons + [field, getattr(row, StreamHeader.keynormalize(field))])
def unpivot(stream, common_fields,
unpivot_name_field, unpivot_value_field):
"""Unpivot a table. Keep fields lines, use other as values"""
for row in stream:
if isinstance(row, StreamHeader):
header = row.replace(
fields=common_fields + [unpivot_name_field, unpivot_value_field])
other_fields = [field for field in row.fields
if not field in common_fields]
yield header
elif isinstance(row, StreamMeta):
yield row
else:
commons = [getattr(row, StreamHeader.keynormalize(f)) for f in common_fields]
for field in other_fields:
yield header.t._make(commons + [field, getattr(row, StreamHeader.keynormalize(field))])
def test_keynormalize(self):
self.assertEqual('Payant_Gratuit',
StreamHeader.keynormalize('Payant/Gratuit'))
kt_msg = StreamHeader(
typename='ktg',
fields=[
'date',
'hour',
'time',
'name',
# event name. VARCHAR(63)
# Customer event or:
# ucc_new_install, ucc_old_install,
# or [event_type]
# or gc1, gc2, gc3, gc4
'uid', # user id that performs the action BIGINT
# also 'r' for responses
'st1',
'st2',
'st3',
# event subtyping VARCHAR(63)
# for pgr :
# st1 = parsed referer
# st2 = source_ip_country
# st3 = http or https
# for cpu
# st1 = gender
# st2 = local country
# st3 = local state (us state)
'channel_type', # channel type or transaction type VARCHAR(63)
# for pgr : fxb_ref or fx_type
'value', # value associated to event (or revenue) INTEGER
# for cpu :
# v = number of friends
# for gc1, ...
# value for the goal
'level', # user level associated to event INTEGER
# for cpu
# l = age
'recipients', # list of recipients uid, comma separated (ins,nes) VARCHAR(1023)
'tracking_tag', # unique tracking tag ( also match su : short tracking tag) VARCHAR(63)
'data', # JSON Payload + additional query parameters not processed VARCHAR(255)
])
def test_keynormalize(self):
self.assertEqual('Payant_Gratuit', StreamHeader.keynormalize('Payant/Gratuit'))
