1 files changed, 103 insertions, 0 deletions
diff --git a/webapp/django/db/backends/oracle/introspection.py b/webapp/django/db/backends/oracle/introspection.py
new file mode 100644
index 0000000000..890e30a694
--- /dev/null
+++ b/webapp/django/db/backends/oracle/introspection.py
@@ -0,0 +1,103 @@
+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: 'DateTimeField',
+        cx_Oracle.FIXED_CHAR: 'CharField',
+        cx_Oracle.NCLOB: 'TextField',
+        cx_Oracle.NUMBER: 'DecimalField',
+        cx_Oracle.STRING: 'CharField',
+        cx_Oracle.TIMESTAMP: 'DateTimeField',
+    }
+
+    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].upper() 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))
+        return cursor.description
+
+    def table_name_converter(self, name):
+        "Table name comparison is case insensitive under Oracle"
+        return name.upper()
+        
+    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 = """
+    WITH primarycols AS (
+     SELECT user_cons_columns.table_name, user_cons_columns.column_name, 1 AS PRIMARYCOL
+     FROM   user_cons_columns, user_constraints
+     WHERE  user_cons_columns.constraint_name = user_constraints.constraint_name AND
+            user_constraints.constraint_type = 'P' AND
+            user_cons_columns.table_name = %s),
+     uniquecols AS (
+     SELECT user_ind_columns.table_name, user_ind_columns.column_name, 1 AS UNIQUECOL
+     FROM   user_indexes, user_ind_columns
+     WHERE  uniqueness = 'UNIQUE' AND
+            user_indexes.index_name = user_ind_columns.index_name AND
+            user_ind_columns.table_name = %s)
+    SELECT allcols.column_name, primarycols.primarycol, uniquecols.UNIQUECOL
+    FROM   (SELECT column_name FROM primarycols UNION SELECT column_name FROM
+    uniquecols) allcols,
+          primarycols, uniquecols
+    WHERE  allcols.column_name = primarycols.column_name (+) AND
+          allcols.column_name = uniquecols.column_name (+)
+        """
+        cursor.execute(sql, [table_name, 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.
+            indexes[row[0]] = {'primary_key': row[1], 'unique': row[2]}
+        return indexes
+