from __future__ import unicode_literals from django.db.backends import BaseDatabaseIntrospection, FieldInfo class DatabaseIntrospection(BaseDatabaseIntrospection): # Maps type codes to Django Field types. data_types_reverse = { 16: 'BooleanField', 17: 'BinaryField', 20: 'BigIntegerField', 21: 'SmallIntegerField', 23: 'IntegerField', 25: 'TextField', 700: 'FloatField', 701: 'FloatField', 869: 'GenericIPAddressField', 1042: 'CharField', # blank-padded 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." # As cursor.description does not return reliably the nullable property, # we have to query the information_schema (#7783) cursor.execute(""" SELECT column_name, is_nullable FROM information_schema.columns WHERE table_name = %s""", [table_name]) null_map = dict(cursor.fetchall()) cursor.execute("SELECT * FROM %s LIMIT 1" % self.connection.ops.quote_name(table_name)) return [FieldInfo(*(line[:6] + (null_map[line[0]]=='YES',))) for line in 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(): # row[0] and row[1] are single-item lists, so grab the single item. relations[row[0][0] - 1] = (row[1][0] - 1, row[2]) return relations def get_key_columns(self, cursor, table_name): key_columns = [] cursor.execute(""" SELECT kcu.column_name, ccu.table_name AS referenced_table, ccu.column_name AS referenced_column FROM information_schema.constraint_column_usage ccu LEFT JOIN information_schema.key_column_usage kcu ON ccu.constraint_catalog = kcu.constraint_catalog AND ccu.constraint_schema = kcu.constraint_schema AND ccu.constraint_name = kcu.constraint_name LEFT JOIN information_schema.table_constraints tc ON ccu.constraint_catalog = tc.constraint_catalog AND ccu.constraint_schema = tc.constraint_schema AND ccu.constraint_name = tc.constraint_name WHERE kcu.table_name = %s AND tc.constraint_type = 'FOREIGN KEY'""" , [table_name]) key_columns.extend(cursor.fetchall()) return key_columns def get_indexes(self, cursor, table_name): # 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