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Improved the typing support for the :ref:`hybrids_toplevel`
extension, updated all documentation to use ORM Annotated Declarative
mappings, and added a new modifier called :attr:`.hybrid_property.inplace`.
This modifier provides a way to alter the state of a :class:`.hybrid_property`
**in place**, which is essentially what very early versions of hybrids
did, before SQLAlchemy version 1.2.0 :ticket:`3912` changed this to
remove in-place mutation. This in-place mutation is now restored on an
**opt-in** basis to allow a single hybrid to have multiple methods
set up, without the need to name all the methods the same and without the
need to carefully "chain" differently-named methods in order to maintain
the composition. Typing tools such as Mypy and Pyright do not allow
same-named methods on a class, so with this change a succinct method
of setting up hybrids with typing support is restored.
Change-Id: Iea88025f023428f9f006846d09fbb4be391f5ebb
References: #9321
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Change-Id: I3075472de51b9d0d429f7f6204093f3e481fc121
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after some experimentation it seems mypy is more amenable
to the generic types being fully integrated rather than
having separate spin-off types. so key structures
like Result, Row, Select become generic. For DML
Insert, Update, Delete, these are spun into type-specific
subclasses ReturningInsert, ReturningUpdate, ReturningDelete,
which is fine since the "row-ness" of these constructs
doesn't happen until returning() is called in any case.
a Tuple based model is then integrated so that these
objects can carry along information about their return
types. Overloads at the .execute() level carry through
the Tuple from the invoked object to the result.
To suit the issue of AliasedClass generating attributes
that are dynamic, experimented with a custom subclass
AsAliased, but then just settled on having aliased()
lie to the type checker and return `Type[_O]`, essentially.
will need some type-related accessors for with_polymorphic()
also.
Additionally, identified an issue in Update when used
"mysql style" against a join(), it basically doesn't work
if asked to UPDATE two tables on the same column name.
added an error message to the specific condition where
it happens with a very non-specific error message that we
hit a thing we can't do right now, suggest multi-table
update as a possible cause.
Change-Id: I5eff7eefe1d6166ee74160b2785c5e6a81fa8b95
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for the moment, abandoning using @overload with
relationship() and mapped_column(). The overloads
are very difficult to get working at all, and
the overloads that were there all wouldn't pass on
mypy. various techniques of getting them to
"work", meaning having right hand side dictate
what's legal on the left, have mixed success
and wont give consistent results; additionally,
it's legal to have Optional / non-optional
independent of nullable in any case for columns.
relationship cases are less ambiguous but mypy
was not going along with things.
we have a comprehensive system of allowing
left side annotations to drive the right side,
in the absense of explicit settings on the right.
so type-centric SQLAlchemy will be left-side
driven just like dataclasses, and the various flags
and switches on the right side will just not be
needed very much.
in other matters, one surprise, forgot to remove string support
from orm.join(A, B, "somename") or do deprecations
for it in 1.4. This is a really not-directly-used
structure barely
mentioned in the docs for many years, the example
shows a relationship being used, not a string, so
we will just change it to raise the usual error here.
Change-Id: Iefbbb8d34548b538023890ab8b7c9a5d9496ec6e
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Change-Id: I53274b13094d996e11b04acb03f9613edbddf87f
References: #6810
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