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from django.db import connection
import collections
def exec_no_result(query, params=None):
curs = connection.cursor()
curs.execute(query, params)
def exec_to_list(query, params=None):
curs = connection.cursor()
curs.execute(query, params)
return curs.fetchall()
def exec_to_dict(query, params=None):
curs = connection.cursor()
curs.execute(query, params)
columns = [col[0] for col in curs.description]
return [dict(zip(columns, row))for row in curs.fetchall()]
def exec_to_scalar(query, params=None):
curs = connection.cursor()
curs.execute(query, params)
r = curs.fetchone()
if r:
return r[0]
# If the query returns no rows at all, then just return None
return None
def conditional_exec_to_scalar(condition, query, params=None):
if condition:
return exec_to_scalar(query, params)
else:
return False
def exec_to_keyed_dict(query, params=None):
curs = connection.cursor()
curs.execute(query, params)
columns = [col[0] for col in curs.description]
return {r[columns[0]]: r for r in (dict(zip(columns, row))for row in curs.fetchall())}
def exec_to_grouped_dict(query, params=None):
curs = connection.cursor()
curs.execute(query, params)
columns = [col[0] for col in curs.description[1:]]
full = collections.OrderedDict()
last = None
curr = []
for row in curs.fetchall():
if last != row[0]:
if curr:
full[last] = curr
curr = []
last = row[0]
curr.append(dict(zip(columns, row[1:])))
if last:
full[last] = curr
return full
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