from django.db.backends import BaseDatabaseIntrospection import cx_Oracle import re foreign_key_re = re.compile(r"\sCONSTRAINT `[^`]*` FOREIGN KEY \(`([^`]*)`\) REFERENCES `([^`]*)` \(`([^`]*)`\)") class DatabaseIntrospection(BaseDatabaseIntrospection): # Maps type objects to Django Field types. data_types_reverse = { cx_Oracle.CLOB: 'TextField', cx_Oracle.DATETIME: 'DateField', cx_Oracle.FIXED_CHAR: 'CharField', cx_Oracle.NCLOB: 'TextField', cx_Oracle.NUMBER: 'DecimalField', cx_Oracle.STRING: 'CharField', cx_Oracle.TIMESTAMP: 'DateTimeField', } try: data_types_reverse[cx_Oracle.NATIVE_FLOAT] = 'FloatField' except AttributeError: pass try: data_types_reverse[cx_Oracle.UNICODE] = 'CharField' except AttributeError: pass def get_field_type(self, data_type, description): # If it's a NUMBER with scale == 0, consider it an IntegerField if data_type == cx_Oracle.NUMBER and description[5] == 0: return 'IntegerField' else: return super(DatabaseIntrospection, self).get_field_type( data_type, description) def get_table_list(self, cursor): "Returns a list of table names in the current database." cursor.execute("SELECT TABLE_NAME FROM USER_TABLES") return [row[0].lower() 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 WHERE ROWNUM < 2" % self.connection.ops.quote_name(table_name)) description = [] for desc in cursor.description: description.append((desc[0].lower(),) + desc[1:]) return description def table_name_converter(self, name): "Table name comparison is case insensitive under Oracle" return name.lower() def _name_to_index(self, cursor, table_name): """ Returns a dictionary of {field_name: field_index} for the given table. Indexes are 0-based. """ return dict([(d[0], i) for i, d in enumerate(self.get_table_description(cursor, table_name))]) 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 ta.column_id - 1, tb.table_name, tb.column_id - 1 FROM user_constraints, USER_CONS_COLUMNS ca, USER_CONS_COLUMNS cb, user_tab_cols ta, user_tab_cols tb WHERE user_constraints.table_name = %s AND ta.table_name = %s AND ta.column_name = ca.column_name AND ca.table_name = %s AND user_constraints.constraint_name = ca.constraint_name AND user_constraints.r_constraint_name = cb.constraint_name AND cb.table_name = tb.table_name AND cb.column_name = tb.column_name AND ca.position = cb.position""", [table_name, table_name, table_name]) relations = {} for row in cursor.fetchall(): relations[row[0]] = (row[2], row[1]) 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 # "We were in the nick of time; you were in great peril!" sql = """\ SELECT LOWER(all_tab_cols.column_name) AS column_name, CASE user_constraints.constraint_type WHEN 'P' THEN 1 ELSE 0 END AS is_primary_key, CASE user_indexes.uniqueness WHEN 'UNIQUE' THEN 1 ELSE 0 END AS is_unique FROM all_tab_cols, user_cons_columns, user_constraints, user_ind_columns, user_indexes WHERE all_tab_cols.column_name = user_cons_columns.column_name (+) AND all_tab_cols.table_name = user_cons_columns.table_name (+) AND user_cons_columns.constraint_name = user_constraints.constraint_name (+) AND user_constraints.constraint_type (+) = 'P' AND user_ind_columns.column_name (+) = all_tab_cols.column_name AND user_ind_columns.table_name (+) = all_tab_cols.table_name AND user_indexes.uniqueness (+) = 'UNIQUE' AND user_indexes.index_name (+) = user_ind_columns.index_name AND all_tab_cols.table_name = UPPER(%s) """ cursor.execute(sql, [table_name]) indexes = {} for row in cursor.fetchall(): indexes[row[0]] = {'primary_key': row[1], 'unique': row[2]} return indexes