| from django.db.backends import BaseDatabaseIntrospection |
| |
| # This light wrapper "fakes" a dictionary interface, because some SQLite data |
| # types include variables in them -- e.g. "varchar(30)" -- and can't be matched |
| # as a simple dictionary lookup. |
| class FlexibleFieldLookupDict: |
| # Maps SQL types to Django Field types. Some of the SQL types have multiple |
| # entries here because SQLite allows for anything and doesn't normalize the |
| # field type; it uses whatever was given. |
| base_data_types_reverse = { |
| 'bool': 'BooleanField', |
| 'boolean': 'BooleanField', |
| 'smallint': 'SmallIntegerField', |
| 'smallinteger': 'SmallIntegerField', |
| 'int': 'IntegerField', |
| 'integer': 'IntegerField', |
| 'text': 'TextField', |
| 'char': 'CharField', |
| 'date': 'DateField', |
| 'datetime': 'DateTimeField', |
| 'time': 'TimeField', |
| } |
| |
| def __getitem__(self, key): |
| key = key.lower() |
| try: |
| return self.base_data_types_reverse[key] |
| except KeyError: |
| import re |
| m = re.search(r'^\s*(?:var)?char\s*\(\s*(\d+)\s*\)\s*$', key) |
| if m: |
| return ('CharField', {'max_length': int(m.group(1))}) |
| raise KeyError |
| |
| class DatabaseIntrospection(BaseDatabaseIntrospection): |
| data_types_reverse = FlexibleFieldLookupDict() |
| |
| def get_table_list(self, cursor): |
| "Returns a list of table names in the current database." |
| # Skip the sqlite_sequence system table used for autoincrement key |
| # generation. |
| cursor.execute(""" |
| SELECT name FROM sqlite_master |
| WHERE type='table' AND NOT name='sqlite_sequence' |
| ORDER BY name""") |
| 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." |
| return [(info['name'], info['type'], None, None, None, None, |
| info['null_ok']) for info in self._table_info(cursor, table_name)] |
| |
| def get_relations(self, cursor, table_name): |
| raise NotImplementedError |
| |
| 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} |
| """ |
| indexes = {} |
| for info in self._table_info(cursor, table_name): |
| indexes[info['name']] = {'primary_key': info['pk'] != 0, |
| 'unique': False} |
| cursor.execute('PRAGMA index_list(%s)' % self.connection.ops.quote_name(table_name)) |
| # seq, name, unique |
| for index, unique in [(field[1], field[2]) for field in cursor.fetchall()]: |
| if not unique: |
| continue |
| cursor.execute('PRAGMA index_info(%s)' % self.connection.ops.quote_name(index)) |
| info = cursor.fetchall() |
| # Skip indexes across multiple fields |
| if len(info) != 1: |
| continue |
| name = info[0][2] # seqno, cid, name |
| indexes[name]['unique'] = True |
| return indexes |
| |
| def _table_info(self, cursor, name): |
| cursor.execute('PRAGMA table_info(%s)' % self.connection.ops.quote_name(name)) |
| # cid, name, type, notnull, dflt_value, pk |
| return [{'name': field[1], |
| 'type': field[2], |
| 'null_ok': not field[3], |
| 'pk': field[5] # undocumented |
| } for field in cursor.fetchall()] |
| |