# SQLAlchemy 0.9 Documentation

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Release: 0.9.3 | Release Date: February 19, 2014

# Source code for examples.generic_associations.generic_fk

    """generic_fk.py

    Illustrates a so-called "generic foreign key", in a similar fashion
    to that of popular frameworks such as Django, ROR, etc.  This
    approach bypasses standard referential integrity
    practices, in that the "foreign key" column is not actually
    constrained to refer to any particular table; instead,
    in-application logic is used to determine which table is referenced.

    This approach is not in line with SQLAlchemy's usual style, as foregoing
    foreign key integrity means that the tables can easily contain invalid
    references and also have no ability to use in-database cascade functionality.

    However, due to the popularity of these systems, as well as that it uses
    the fewest number of tables (which doesn't really offer any "advantage",
    though seems to be comforting to many) this recipe remains in
    high demand, so in the interests of having an easy StackOverflow answer
    queued up, here it is.   The author recommends "table_per_related"
    or "table_per_association" instead of this approach.

    .. versionadded:: 0.8.3

    """
    from sqlalchemy.ext.declarative import as_declarative, declared_attr
    from sqlalchemy import create_engine, Integer, Column, \
                        String, and_
    from sqlalchemy.orm import Session, relationship, foreign, remote, backref
    from sqlalchemy import event

    @as_declarative()
    class Base(object):
        """Base class which provides automated table name
        and surrogate primary key column.

        """
        @declared_attr
        def __tablename__(cls):
            return cls.__name__.lower()
        id = Column(Integer, primary_key=True)

    class Address(Base):
        """The Address class.

        This represents all address records in a
        single table.

        """
        street = Column(String)
        city = Column(String)
        zip = Column(String)

        discriminator = Column(String)
        """Refers to the type of parent."""

        parent_id = Column(Integer)
        """Refers to the primary key of the parent.

        This could refer to any table.
        """

        @property
        def parent(self):
            """Provides in-Python access to the "parent" by choosing
            the appropriate relationship.

            """
            return getattr(self, "parent_%s" % self.discriminator)

        def __repr__(self):
            return "%s(street=%r, city=%r, zip=%r)" % \
                (self.__class__.__name__, self.street,
                self.city, self.zip)

    class HasAddresses(object):
        """HasAddresses mixin, creates a relationship to
        the address_association table for each parent.

        """

    @event.listens_for(HasAddresses, "mapper_configured", propagate=True)
    def setup_listener(mapper, class_):
        name = class_.__name__
        discriminator = name.lower()
        class_.addresses = relationship(Address,
                            primaryjoin=and_(
                                            class_.id == foreign(remote(Address.parent_id)),
                                            Address.discriminator == discriminator
                                        ),
                            backref=backref(
                                    "parent_%s" % discriminator,
                                    primaryjoin=remote(class_.id) == foreign(Address.parent_id)
                                    )
                            )
        @event.listens_for(class_.addresses, "append")
        def append_address(target, value, initiator):
            value.discriminator = discriminator

    class Customer(HasAddresses, Base):
        name = Column(String)

    class Supplier(HasAddresses, Base):
        company_name = Column(String)

    engine = create_engine('sqlite://', echo=True)
    Base.metadata.create_all(engine)

    session = Session(engine)

    session.add_all([
        Customer(
            name='customer 1',
            addresses=[
                Address(
                        street='123 anywhere street',
                        city="New York",
                        zip="10110"),
                Address(
                        street='40 main street',
                        city="San Francisco",
                        zip="95732")
            ]
        ),
        Supplier(
            company_name="Ace Hammers",
            addresses=[
                Address(
                        street='2569 west elm',
                        city="Detroit",
                        zip="56785")
            ]
        ),
    ])

    session.commit()

    for customer in session.query(Customer):
        for address in customer.addresses:
            print(address)
            print(address.parent)