The project I am working on is split up into several modules. Previously, 
each module had its own ORM classes.
However, due to several bugs arising from forgetting to update each 
module's ORM classes in lock step when adding new functionality, we have 
decided it would be best to extract the ORM classes which interact with our 
DB into their own module and make that available to the other modules via 
pip.

One of these modules, which monitors for changes in an upstream DB and 
applies them to ours, has some methods which are not present in the other 
modules and which cannot be easily extracted out due to its dependencies on 
upstream DB functionality.

As such, in this module, we must subclass the ORM models which interact 
with our DB:

models.apimodels.db.person.py:
#...
@dataclass(init=False, eq=True, unsafe_hash=True)
class Person(Base):
    __tablename__ = "person"

    id: Mapped[int] = mapped_column(primary_key=True)
    first_name: Mapped[str]
    last_name: Mapped[str]
    email_address: Mapped[str]
    office_address: Mapped[str]
    office_phone_number: Mapped[str]

    # ...

etl.models.api_db.api_person.py:
#...
from apimodels.db.person import Person as PersonBase
# ...
class API_Person(PersonBase):
    __tablename__ = "person"
    __table_args__ = {"keep_existing": True}

    def get_pvi(self):
        # ...

    def get_historical_pvis(self) -> list[str]:
        # ...

    def __eq__(self):
        # ...

    def __hash__(self):
        # ...

    @staticmethod
    def from_upstream_hub_person(
        uh_person: Optional[UH_Person],
    ) -> Optional["API_Person"]:
        # ...

Of note is that this subclass does not add any new attributes or modify 
existing ones, it merely adds some helper methods related to identifying 
primary key changes in the upstream DB. (This is also why we override the 
eq and hash methods provided by dataclasses - incoming changesets have to 
be matched against existing records, even when primary keys change 
upstream.)

This is effectively single-table inheritance, but it is not a good fit for 
polymorphic_identity since it is not a distinct class, merely adding 
module-specific helper methods, and if I am reading the documentation 
correctly, using polymorphic_identity would mean any records touched by the 
API_Person subclass (which is all of them) would no longer be usable by 
other modules, which do not extend any of the models.

>From what I have read, it seems like the keep_existing param should be of 
use here, but neither it nor extend_existing set to True help with the 
errors I am seeing when attempting to interact with this subclass in any 
way:

sqlalchemy.orm.exc.FlushError: Attempting to flush an item of type <class 
'model.api_db.api_person.API_Person'> as a member of collection 
"Identifier.person". Expected an object of type <class 
'apimodels.db.person.Person'> or a polymorphic subclass of this type. If 
<class 'model.api_db.api_person.API_Person'> is a subclass of <class 
'apimodels.db.person.Person'>, configure mapper "Mapper[Person(person)]" to 
load this subtype polymorphically, or set enable_typechecks=False to allow 
any subtype to be accepted for flush.

I did try setting enable_typechecks to False, but this results in a 
different error when attempting to use getattr on the subclass:

AttributeError: 'Person' object has no attribute 'meta'

Is there a better way of doing this?

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