Release: 2.0.48 | Release Date: March 2, 2026

# SQLAlchemy 2.0 Documentation

# Source code for examples.association.dict_of_sets_with_default

    """An advanced association proxy example which
    illustrates nesting of association proxies to produce multi-level Python
    collections, in this case a dictionary with string keys and sets of integers
    as values, which conceal the underlying mapped classes.

    This is a three table model which represents a parent table referencing a
    dictionary of string keys and sets as values, where each set stores a
    collection of integers. The association proxy extension is used to hide the
    details of this persistence. The dictionary also generates new collections
    upon access of a non-existent key, in the same manner as Python's
    "collections.defaultdict" object.

    """

    from __future__ import annotations

    import operator
    from typing import Mapping

    from sqlalchemy import create_engine
    from sqlalchemy import ForeignKey
    from sqlalchemy import select
    from sqlalchemy.ext.associationproxy import association_proxy
    from sqlalchemy.ext.associationproxy import AssociationProxy
    from sqlalchemy.orm import DeclarativeBase
    from sqlalchemy.orm import Mapped
    from sqlalchemy.orm import mapped_column
    from sqlalchemy.orm import relationship
    from sqlalchemy.orm import Session
    from sqlalchemy.orm.collections import KeyFuncDict

    class Base(DeclarativeBase):
        id: Mapped[int] = mapped_column(primary_key=True)

    class GenDefaultCollection(KeyFuncDict[str, "B"]):
        def __missing__(self, key: str) -> B:
            self[key] = b = B(key)
            return b

    class A(Base):
        __tablename__ = "a"
        associations: Mapped[Mapping[str, B]] = relationship(
            "B",
            collection_class=lambda: GenDefaultCollection(
                operator.attrgetter("key")
            ),
        )

        collections: AssociationProxy[dict[str, set[int]]] = association_proxy(
            "associations", "values"
        )
        """Bridge the association from 'associations' over to the 'values'
        association proxy of B.
        """

    class B(Base):
        __tablename__ = "b"
        a_id: Mapped[int] = mapped_column(ForeignKey("a.id"))
        elements: Mapped[set[C]] = relationship("C", collection_class=set)
        key: Mapped[str]

        values: AssociationProxy[set[int]] = association_proxy("elements", "value")
        """Bridge the association from 'elements' over to the
        'value' element of C."""

        def __init__(self, key: str, values: set[int] | None = None) -> None:
            self.key = key
            if values:
                self.values = values

    class C(Base):
        __tablename__ = "c"
        b_id: Mapped[int] = mapped_column(ForeignKey("b.id"))
        value: Mapped[int]

        def __init__(self, value: int) -> None:
            self.value = value

    if __name__ == "__main__":
        engine = create_engine("sqlite://", echo=True)
        Base.metadata.create_all(engine)
        session = Session(engine)

        # only "A" is referenced explicitly.  Using "collections",
        # we deal with a dict of key/sets of integers directly.

        session.add_all([A(collections={"1": {1, 2, 3}})])
        session.commit()

        a1 = session.scalars(select(A)).one()
        print(a1.collections["1"])
        a1.collections["1"].add(4)
        session.commit()

        a1.collections["2"].update([7, 8, 9])
        session.commit()

        print(a1.collections["2"])