122 lines
4.9 KiB
Python
122 lines
4.9 KiB
Python
from django.db.backends import BaseDatabaseIntrospection
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import cx_Oracle
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import re
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foreign_key_re = re.compile(r"\sCONSTRAINT `[^`]*` FOREIGN KEY \(`([^`]*)`\) REFERENCES `([^`]*)` \(`([^`]*)`\)")
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class DatabaseIntrospection(BaseDatabaseIntrospection):
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# Maps type objects to Django Field types.
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data_types_reverse = {
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cx_Oracle.CLOB: 'TextField',
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cx_Oracle.DATETIME: 'DateField',
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cx_Oracle.FIXED_CHAR: 'CharField',
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cx_Oracle.NCLOB: 'TextField',
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cx_Oracle.NUMBER: 'DecimalField',
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cx_Oracle.STRING: 'CharField',
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cx_Oracle.TIMESTAMP: 'DateTimeField',
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}
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try:
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data_types_reverse[cx_Oracle.NATIVE_FLOAT] = 'FloatField'
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except AttributeError:
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pass
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try:
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data_types_reverse[cx_Oracle.UNICODE] = 'CharField'
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except AttributeError:
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pass
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def get_field_type(self, data_type, description):
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# If it's a NUMBER with scale == 0, consider it an IntegerField
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if data_type == cx_Oracle.NUMBER and description[5] == 0:
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if description[4] > 11:
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return 'BigIntegerField'
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else:
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return 'IntegerField'
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else:
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return super(DatabaseIntrospection, self).get_field_type(
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data_type, description)
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def get_table_list(self, cursor):
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"Returns a list of table names in the current database."
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cursor.execute("SELECT TABLE_NAME FROM USER_TABLES")
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return [row[0].lower() for row in cursor.fetchall()]
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def get_table_description(self, cursor, table_name):
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"Returns a description of the table, with the DB-API cursor.description interface."
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cursor.execute("SELECT * FROM %s WHERE ROWNUM < 2" % self.connection.ops.quote_name(table_name))
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description = []
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for desc in cursor.description:
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description.append((desc[0].lower(),) + desc[1:])
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return description
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def table_name_converter(self, name):
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"Table name comparison is case insensitive under Oracle"
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return name.lower()
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def _name_to_index(self, cursor, table_name):
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"""
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Returns a dictionary of {field_name: field_index} for the given table.
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Indexes are 0-based.
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"""
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return dict([(d[0], i) for i, d in enumerate(self.get_table_description(cursor, table_name))])
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def get_relations(self, cursor, table_name):
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"""
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Returns a dictionary of {field_index: (field_index_other_table, other_table)}
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representing all relationships to the given table. Indexes are 0-based.
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"""
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cursor.execute("""
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SELECT ta.column_id - 1, tb.table_name, tb.column_id - 1
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FROM user_constraints, USER_CONS_COLUMNS ca, USER_CONS_COLUMNS cb,
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user_tab_cols ta, user_tab_cols tb
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WHERE user_constraints.table_name = %s AND
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ta.table_name = %s AND
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ta.column_name = ca.column_name AND
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ca.table_name = %s AND
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user_constraints.constraint_name = ca.constraint_name AND
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user_constraints.r_constraint_name = cb.constraint_name AND
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cb.table_name = tb.table_name AND
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cb.column_name = tb.column_name AND
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ca.position = cb.position""", [table_name, table_name, table_name])
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relations = {}
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for row in cursor.fetchall():
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relations[row[0]] = (row[2], row[1])
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return relations
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def get_indexes(self, cursor, table_name):
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"""
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Returns a dictionary of fieldname -> infodict for the given table,
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where each infodict is in the format:
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{'primary_key': boolean representing whether it's the primary key,
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'unique': boolean representing whether it's a unique index}
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"""
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# This query retrieves each index on the given table, including the
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# first associated field name
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# "We were in the nick of time; you were in great peril!"
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sql = """\
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SELECT LOWER(all_tab_cols.column_name) AS column_name,
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CASE user_constraints.constraint_type
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WHEN 'P' THEN 1 ELSE 0
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END AS is_primary_key,
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CASE user_indexes.uniqueness
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WHEN 'UNIQUE' THEN 1 ELSE 0
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END AS is_unique
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FROM all_tab_cols, user_cons_columns, user_constraints, user_ind_columns, user_indexes
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WHERE all_tab_cols.column_name = user_cons_columns.column_name (+)
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AND all_tab_cols.table_name = user_cons_columns.table_name (+)
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AND user_cons_columns.constraint_name = user_constraints.constraint_name (+)
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AND user_constraints.constraint_type (+) = 'P'
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AND user_ind_columns.column_name (+) = all_tab_cols.column_name
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AND user_ind_columns.table_name (+) = all_tab_cols.table_name
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AND user_indexes.uniqueness (+) = 'UNIQUE'
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AND user_indexes.index_name (+) = user_ind_columns.index_name
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AND all_tab_cols.table_name = UPPER(%s)
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"""
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cursor.execute(sql, [table_name])
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indexes = {}
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for row in cursor.fetchall():
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indexes[row[0]] = {'primary_key': row[1], 'unique': row[2]}
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return indexes
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