introspection.py :  » Content-Management-Systems » PyLucid » PyLucid_standalone » django » db » backends » postgresql » Python Open Source

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Python Open Source » Content Management Systems » PyLucid 
PyLucid » PyLucid_standalone » django » db » backends » postgresql » introspection.py
from django.db.backends import BaseDatabaseIntrospection

class DatabaseIntrospection(BaseDatabaseIntrospection):
    # Maps type codes to Django Field types.
    data_types_reverse = {
        16: 'BooleanField',
        20: 'BigIntegerField',
        21: 'SmallIntegerField',
        23: 'IntegerField',
        25: 'TextField',
        700: 'FloatField',
        701: 'FloatField',
        869: 'IPAddressField',
        1043: 'CharField',
        1082: 'DateField',
        1083: 'TimeField',
        1114: 'DateTimeField',
        1184: 'DateTimeField',
        1266: 'TimeField',
        1700: 'DecimalField',
    }
        
    def get_table_list(self, cursor):
        "Returns a list of table names in the current database."
        cursor.execute("""
            SELECT c.relname
            FROM pg_catalog.pg_class c
            LEFT JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace
            WHERE c.relkind IN ('r', 'v', '')
                AND n.nspname NOT IN ('pg_catalog', 'pg_toast')
                AND pg_catalog.pg_table_is_visible(c.oid)""")
        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."
        cursor.execute("SELECT * FROM %s LIMIT 1" % self.connection.ops.quote_name(table_name))
        return cursor.description

    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 con.conkey, con.confkey, c2.relname
            FROM pg_constraint con, pg_class c1, pg_class c2
            WHERE c1.oid = con.conrelid
                AND c2.oid = con.confrelid
                AND c1.relname = %s
                AND con.contype = 'f'""", [table_name])
        relations = {}
        for row in cursor.fetchall():
            try:
                # row[0] and row[1] are like "{2}", so strip the curly braces.
                relations[int(row[0][1:-1]) - 1] = (int(row[1][1:-1]) - 1, row[2])
            except ValueError:
                continue
        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
        cursor.execute("""
            SELECT attr.attname, idx.indkey, idx.indisunique, idx.indisprimary
            FROM pg_catalog.pg_class c, pg_catalog.pg_class c2,
                pg_catalog.pg_index idx, pg_catalog.pg_attribute attr
            WHERE c.oid = idx.indrelid
                AND idx.indexrelid = c2.oid
                AND attr.attrelid = c.oid
                AND attr.attnum = idx.indkey[0]
                AND c.relname = %s""", [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.
            if ' ' in row[1]:
                continue
            indexes[row[0]] = {'primary_key': row[3], 'unique': row[2]}
        return indexes

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