app/django/db/backends/postgresql/introspection.py
author Lennard de Rijk <ljvderijk@gmail.com>
Thu, 13 Aug 2009 14:02:22 -0700
changeset 2770 71a5a56cf29e
parent 323 ff1a9aa48cfd
permissions -rw-r--r--
Redone the acceptedStudentsExport functionality. The method has been renamed to exportStudentsWithProjects and retrieves the document_name and the new shipping address properties. Also it filters out all invalid projects or projects for wich the scope_path doesn't match the given scope_pa th_start. Also there is no more need to use the argument given to this method when adding the extra columns. The data is now prepared by one loop which uses the key present in the accepted_students dictionary for retrieving the data used by the extra columns.

from django.db.backends import BaseDatabaseIntrospection

class DatabaseIntrospection(BaseDatabaseIntrospection):
    # Maps type codes to Django Field types.
    data_types_reverse = {
        16: 'BooleanField',
        21: 'SmallIntegerField',
        23: 'IntegerField',
        25: 'TextField',
        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