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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
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