def anonymise_user_names(data, organization=None):
'''Ensure any columns with names in are anonymised, unless the current user
has privileges.'''
column_names = data['table'][0].keys() if data['table'] else []
for col in column_names:
if col.lower() in ('user', 'username', 'user name', 'author'):
for row in data['table']:
row[col] = dguhelpers.user_link_info(
row[col], organisation=organization)[0]
def anonymise_user_names(data, organization=None):
'''Ensure any columns with names in are anonymised, unless the current user
has privileges.'''
column_names = data['table'][0].keys() if data['table'] else []
for col in column_names:
if col.lower() in ('user', 'username', 'user name', 'author'):
for row in data['table']:
row[col] = dguhelpers.user_link_info(row[col],
organisation=organization)[0]
def anonymise_user_names(data, organization=None):
'''Ensure any columns with names in are anonymised, unless the current user
has privileges.
NB this is only enabled for data.gov.uk - it is custom functionality.
'''
try:
import ckanext.dgu.lib.helpers as dguhelpers
except ImportError:
# If this is not DGU then cannot do the anonymization
return
column_names = data['table'][0].keys() if data['table'] else []
for col in column_names:
if col.lower() in ('user', 'username', 'user name', 'author'):
for row in data['table']:
row[col] = dguhelpers.user_link_info(
row[col], organization=organization)[0]
def anonymise_user_names(data, organization=None):
'''Ensure any columns with names in are anonymised, unless the current user
has privileges.
NB this is only enabled for data.gov.uk - it is custom functionality.
'''
try:
import ckanext.dgu.lib.helpers as dguhelpers
except ImportError:
# If this is not DGU then cannot do the anonymization
return
column_names = data['table'][0].keys() if data['table'] else []
for col in column_names:
if col.lower() in ('user', 'username', 'user name', 'author'):
for row in data['table']:
row[col] = dguhelpers.user_link_info(
row[col], organization=organization)[0]
