GMaps related JS changed to use new google namespace.
Google is going to change permanently in the future the way to
load its services, so better stay safe.
Also this commit shows uses of the new melange.js module.
Fixes Issue 634.
from django.db.backends import BaseDatabaseIntrospection
class DatabaseIntrospection(BaseDatabaseIntrospection):
# Maps type codes to Django Field types.
data_types_reverse = {
16: 'BooleanField',
21: 'SmallIntegerField',
23: 'IntegerField',
25: 'TextField',
701: 'FloatField',
869: 'IPAddressField',
1043: 'CharField',
1082: 'DateField',
1083: 'TimeField',
1114: 'DateTimeField',
1184: 'DateTimeField',
1266: 'TimeField',
1700: 'DecimalField',
}
def get_table_list(self, cursor):
"Returns a list of table names in the current database."
cursor.execute("""
SELECT c.relname
FROM pg_catalog.pg_class c
LEFT JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace
WHERE c.relkind IN ('r', 'v', '')
AND n.nspname NOT IN ('pg_catalog', 'pg_toast')
AND pg_catalog.pg_table_is_visible(c.oid)""")
return [row[0] for row in cursor.fetchall()]
def get_table_description(self, cursor, table_name):
"Returns a description of the table, with the DB-API cursor.description interface."
cursor.execute("SELECT * FROM %s LIMIT 1" % self.connection.ops.quote_name(table_name))
return cursor.description
def get_relations(self, cursor, table_name):
"""
Returns a dictionary of {field_index: (field_index_other_table, other_table)}
representing all relationships to the given table. Indexes are 0-based.
"""
cursor.execute("""
SELECT con.conkey, con.confkey, c2.relname
FROM pg_constraint con, pg_class c1, pg_class c2
WHERE c1.oid = con.conrelid
AND c2.oid = con.confrelid
AND c1.relname = %s
AND con.contype = 'f'""", [table_name])
relations = {}
for row in cursor.fetchall():
try:
# row[0] and row[1] are like "{2}", so strip the curly braces.
relations[int(row[0][1:-1]) - 1] = (int(row[1][1:-1]) - 1, row[2])
except ValueError:
continue
return relations
def get_indexes(self, cursor, table_name):
"""
Returns a dictionary of fieldname -> infodict for the given table,
where each infodict is in the format:
{'primary_key': boolean representing whether it's the primary key,
'unique': boolean representing whether it's a unique index}
"""
# This query retrieves each index on the given table, including the
# first associated field name
cursor.execute("""
SELECT attr.attname, idx.indkey, idx.indisunique, idx.indisprimary
FROM pg_catalog.pg_class c, pg_catalog.pg_class c2,
pg_catalog.pg_index idx, pg_catalog.pg_attribute attr
WHERE c.oid = idx.indrelid
AND idx.indexrelid = c2.oid
AND attr.attrelid = c.oid
AND attr.attnum = idx.indkey[0]
AND c.relname = %s""", [table_name])
indexes = {}
for row in cursor.fetchall():
# row[1] (idx.indkey) is stored in the DB as an array. It comes out as
# a string of space-separated integers. This designates the field
# indexes (1-based) of the fields that have indexes on the table.
# Here, we skip any indexes across multiple fields.
if ' ' in row[1]:
continue
indexes[row[0]] = {'primary_key': row[3], 'unique': row[2]}
return indexes