| Commit message (Collapse) | Author | Age | Files | Lines |
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Fixed issue in :func:`_orm.mapped_column` construct where the correct
warning for "column X named directly multiple times" would not be emitted
when ORM mapped attributes referred to the same :class:`_schema.Column`, if
the :func:`_orm.mapped_column` construct were involved, raising an internal
assertion instead.
Fixes: #9630
Change-Id: I5d9dfaaa225aefb487c9cd981ba3ad78507bb577
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Repaired a major shortcoming which was identified in the
:ref:`engine_insertmanyvalues` performance optimization feature first
introduced in the 2.0 series. This was a continuation of the change in
2.0.9 which disabled the SQL Server version of the feature due to a
reliance in the ORM on apparent row ordering that is not guaranteed to take
place. The fix applies new logic to all "insertmanyvalues" operations,
which takes effect when a new parameter
:paramref:`_dml.Insert.returning.sort_by_parameter_order` on the
:meth:`_dml.Insert.returning` or :meth:`_dml.UpdateBase.return_defaults`
methods, that through a combination of alternate SQL forms, direct
correspondence of client side parameters, and in some cases downgrading to
running row-at-a-time, will apply sorting to each batch of returned rows
using correspondence to primary key or other unique values in each row
which can be correlated to the input data.
Performance impact is expected to be minimal as nearly all common primary
key scenarios are suitable for parameter-ordered batching to be
achieved for all backends other than SQLite, while "row-at-a-time"
mode operates with a bare minimum of Python overhead compared to the very
heavyweight approaches used in the 1.x series. For SQLite, there is no
difference in performance when "row-at-a-time" mode is used.
It's anticipated that with an efficient "row-at-a-time" INSERT with
RETURNING batching capability, the "insertmanyvalues" feature can be later
be more easily generalized to third party backends that include RETURNING
support but not necessarily easy ways to guarantee a correspondence
with parameter order.
Fixes: #9618
References: #9603
Change-Id: I1d79353f5f19638f752936ba1c35e4dc235a8b7c
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Fixed issue where the :meth:`_orm.declared_attr.directive` modifier was not
correctly honored for subclasses when applied to the ``__mapper_args__``
special method name, as opposed to direct use of
:class:`_orm.declared_attr`. The two constructs should have identical
runtime behaviors.
Fixes: #9625
Change-Id: I0dfe9e73bb45f70dbebc8e94ce280ad3b52e867f
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Exceptions such as ``TypeError`` and ``ValueError`` raised by Python
dataclasses when making use of the :class:`_orm.MappedAsDataclass` mixin
class or :meth:`_orm.registry.mapped_as_dataclass` decorator are now
wrapped within an :class:`.InvalidRequestError` wrapper along with
informative context about the error message, referring to the Python
dataclasses documentation as the authoritative source of background
information on the cause of the exception.
Fixes: #9563
Change-Id: I25652485b91c4ee8cf112b91aae8f9041061a8bd
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Fixed issue where an annotation-only :class:`_orm.Mapped` directive could
not be used in a Declarative mixin class, without that attribute attempting
to take effect for single- or joined-inheritance subclasses of mapped
classes that had already mapped that attribute on a superclass, producing
conflicting column errors and/or warnings.
Fixes: #9564
Change-Id: I0f92be2ae98a8c45afce3e06d0a7cc61c19a96f4
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Fields that are declared on Declarative Mixins and then combined with
classes that make use of :class:`_orm.MappedAsDataclass`, where those mixin
fields are not themselves part of a dataclass, now emit a deprecation
warning as these fields will be ignored in a future release, as Python
dataclasses behavior is to ignore these fields. Type checkers will not see
these fields under pep-681.
Fixes: #9350
Change-Id: Ie0a0ac0f0bb58d1c2aae13b4a8dcd0439a4f5477
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Expanded the warning emitted when a plain :func:`_sql.column` object is
present in a Declarative mapping to include any arbitrary SQL expression
that is not declared within an appropriate property type such as
:func:`_orm.column_property`, :func:`_orm.deferred`, etc. These attributes
are otherwise not mapped at all and remain unchanged within the class
dictionary. As it seems likely that such an expression is usually not
what's intended, this case now warns for all such otherwise ignored
expressions, rather than just the :func:`_sql.column` case.
Fixes: #9537
Change-Id: Ic4ca7a071a28adf4ea8680690025d927522a0805
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Continued the fix for :ticket:`8853`, allowing the :class:`_orm.Mapped`
name to be fully qualified regardless of whether or not
``from __annotations__ import future`` were present. This issue first fixed
in 2.0.0b3 confirmed that this case worked via the test suite, however the
test suite apparently was not testing the behavior for the name ``Mapped``
not being locally present at all; string resolution has been updated to
ensure the ``Mapped`` symbol is locatable as applies to how the ORM uses
these functions.
Fixes: #8853
Fixes: #9335
Change-Id: Id82d09aee906165a4d77c7da6a0b4177dd675c10
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To accommodate a change in column ordering used by ORM Declarative in
SQLAlchemy 2.0, a new parameter :paramref:`_orm.mapped_column.sort_order`
has been added that can be used to control the order of the columns defined
in the table by the ORM, for common use cases such as mixins with primary
key columns that should appear first in tables. The change notes at
:ref:`change_9297` illustrate the default change in ordering behavior
(which is part of all SQLAlchemy 2.0 releases) as well as use of the
:paramref:`_orm.mapped_column.sort_order` to control column ordering when
using mixins and multiple classes (new in 2.0.4).
Fixes: #9297
Change-Id: Ic7163d64efdc0eccb53d6ae0dd89ec83427fb675
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Added new parameter ``dataclasses_callable`` to both the
:class:`_orm.MappedAsDataclass` class as well as the
:meth:`_orm.registry.mapped_as_dataclass` method which allows an
alternative callable to Python ``dataclasses.dataclass`` to be used in
order to produce dataclasses. The use case here is to drop in Pydantic's
dataclass function instead. Adjustments have been made to the mixin support
added for :ticket:`9179` in version 2.0.1 so that the ``__annotations__``
collection of the mixin is rewritten to not include the
:class:`_orm.Mapped` container, in the same way as occurs with mapped
classes, so that the Pydantic dataclasses constructor is not exposed to
unknown types.
Fixes: #9266
Change-Id: Ia0fab6f20b93a5cb853799dcf1b70a0386837c14
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into main
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Repaired ORM Declarative mappings to allow for the
:paramref:`_orm.Mapper.primary_key` parameter to be specified within
``__mapper_args__`` when using :func:`_orm.mapped_column`. Despite this
usage being directly in the 2.0 documentation, the :class:`_orm.Mapper` was
not accepting the :func:`_orm.mapped_column` construct in this context. Ths
feature was already working for the :paramref:`_orm.Mapper.version_id_col`
and :paramref:`_orm.Mapper.polymorphic_on` parameters.
As part of this change, the ``__mapper_args__`` attribute may be specified
without using :func:`_orm.declared_attr` on a non-mapped mixin class,
including a ``"primary_key"`` entry that refers to :class:`_schema.Column`
or :func:`_orm.mapped_column` objects locally present on the mixin;
Declarative will also translate these columns into the correct ones for a
particular mapped class. This again was working already for the
:paramref:`_orm.Mapper.version_id_col` and
:paramref:`_orm.Mapper.polymorphic_on` parameters. Additionally,
elements within ``"primary_key"`` may be indicated as string names of
existing mapped properties.
Fixes: #9240
Change-Id: Ie2000273289fa23e0af21ef9c6feb3962a8b848c
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Ensure that the decorator style @registry.mapped_as_dataclass and
MappedAsDataclass are not mixed.
Fixes: #9211
Change-Id: I5cd94cae862122e4f627d0d051495b3789cf6de5
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More adjustments to ORM Declarative Dataclasses mappings, building on the
improved support for mixins with dataclasses added in 2.0.1 via
:ticket:`9179`, where a combination of using mixins plus ORM inheritance
would mis-classify fields in some cases leading to their dataclass
arguments such as ``init=False`` being lost.
Fixes: #9226
Change-Id: Ia36f413e23e91dfbdb900f5ff3f8cdd3d5847064
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Added support for :pep:`586` ``Literal`` to be used in the
:paramref:`_orm.registry.type_annotation_map` as well as within
:class:`.Mapped` constructs. To use custom types such as these, they must
appear explicitly within the :paramref:`_orm.registry.type_annotation_map`
to be mapped. Pull request courtesy Frederik Aalund.
As part of this change, the support for :class:`.sqltypes.Enum` in the
:paramref:`_orm.registry.type_annotation_map` has been expanded to include
support for ``Literal[]`` types consisting of string values to be used,
in addition to ``enum.Enum`` datatypes. If a ``Literal[]`` datatype
is used within ``Mapped[]`` that is not linked in
:paramref:`_orm.registry.type_annotation_map` to a specific datatype,
a :class:`.sqltypes.Enum` will be used by default.
Fixed issue involving the use of :class:`.sqltypes.Enum` within the
:paramref:`_orm.registry.type_annotation_map` where the
:paramref:`_sqltypes.Enum.native_enum` parameter would not be correctly
copied to the mapped column datatype, if it were overridden
as stated in the documentation to set this parameter to False.
Fixes: #9187
Fixes: #9200
Closes: #9191
Pull-request: https://github.com/sqlalchemy/sqlalchemy/pull/9191
Pull-request-sha: 7d13f705307bf62560fc831f6f049a425d411374
Change-Id: Ife3ba2655f4897f806d6a9cf0041c69fd4f39e9d
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When using the :class:`.MappedAsDataclass` superclass, all classes within
the hierarchy that are subclasses of this class will now be run through the
``@dataclasses.dataclass`` function whether or not they are actually
mapped, so that non-ORM fields declared on non-mapped classes within the
hierarchy will be used when mapped subclasses are turned into dataclasses.
This behavior applies both to intermediary classes mapped with
``__abstract__ = True`` as well as to the user-defined declarative base
itself, assuming :class:`.MappedAsDataclass` is present as a superclass for
these classes.
This allows non-mapped attributes such as ``InitVar`` declarations on
superclasses to be used, without the need to run the
``@dataclasses.dataclass`` decorator explicitly on each non-mapped class.
The new behavior is considered as correct as this is what the :pep:`681`
implementation expects when using a superclass to indicate dataclass
behavior.
Fixes: #9179
Change-Id: Ia01fa9806a27f7c1121bf7eaddf2847cf6dc5313
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Fixes: #8624
Change-Id: Ia7a66ae9ba534ed7152f95dfd0f7d05b9d00165a
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Change-Id: I625af65b3fb1815b1af17dc2ef47dd697fdc3fb1
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Removed the requirement that the ``__allow_unmapped__`` attribute be used
on Declarative Dataclass Mapped class when non-``Mapped[]`` annotations are
detected; previously, an error message that was intended to support legacy
ORM typed mappings would be raised, which additionally did not mention
correct patterns to use with Dataclasses specifically. This error message
is now no longer raised if :meth:`_orm.registry.mapped_as_dataclass` or
:class:`_orm.MappedAsDataclass` is used.
Fixes: #8973
Change-Id: I887afcc2da83dd904444bcb97f31e695b9f8b443
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Added a new parameter :paramref:`_orm.mapped_column.use_existing_column` to
accommodate the use case of a single-table inheritance mapping that uses
the pattern of more than one subclass indicating the same column to take
place on the superclass. This pattern was previously possible by using
:func:`_orm.declared_attr` in conjunction with locating the existing column
in the ``.__table__`` of the superclass, however is now updated to work
with :func:`_orm.mapped_column` as well as with pep-484 typing, in a
simple and succinct way.
Fixes: #8822
Change-Id: I2296a4a775da976c642c86567852cdc792610eaf
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Added support for the :func:`.association_proxy` extension function to
take part within Python ``dataclasses`` configuration, when using
the native dataclasses feature described at
:ref:`orm_declarative_native_dataclasses`. Included are attribute-level
arguments including :paramref:`.association_proxy.init` and
:paramref:`.association_proxy.default_factory`.
Documentation for association proxy has also been updated to use
"Annotated Declarative Table" forms within examples, including type
annotations used for :class:`.AssocationProxy` itself.
Also modernized documentation examples in sqlalchemy.ext.mutable,
which was not up to date even for 1.4 style code.
Corrected typing for relationship(secondary) where "secondary"
accepts a callable (i.e. lambda) as well
Fixes: #8878
Fixes: #8876
Fixes: #8880
Change-Id: Ibd4f3591155a89f915713393e103e61cc072ed57
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Fixed issue where use of an unknown datatype within a :class:`.Mapped`
annotation for a column-based attribute would silently fail to map the
attribute, rather than reporting an exception; an informative exception
message is now raised.
tighten up iteration of names on mapped classes to more fully
exclude a large number of underscored names, so that we can avoid trying
to look at annotations for them or anything else. centralize the
"list of names we care about" more fully within _cls_attr_resolver
and base it on underscore conventions we should usually ignore,
with the exception of the few underscore names we want to see.
Fixes: #8888
Change-Id: I3c0a1666579fe67b3c40cc74fa443b6f1de354ce
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Create a new test file test_tm_future_annotations_sync.py that's obtained
from test_tm_future_annotations.py by using the new script sync_test_files.
This files includes the ``from __future__ import annotations``
It also turns out we had some bugs in there and we can also support some
additional typing things
Change-Id: Iac005df206d45a55345d9d88d67a80ce799d449f
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command run is "pyupgrade --py37-plus --keep-runtime-typing --keep-percent-format <files...>"
pyupgrade will change assert_ to assertTrue. That was reverted since assertTrue does not
exists in sqlalchemy fixtures
Change-Id: Ie1ed2675c7b11d893d78e028aad0d1576baebb55
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Fixed issues within the declarative typing resolver (i.e. which resolves
``ForwardRef`` objects) where types that were declared for columns in one
particular source file would raise ``NameError`` when the ultimate mapped
class were in another source file. The types are now resolved in terms
of the module for each class in which the types are used.
Fixes: #8742
Change-Id: I236f94484ea79d47392a6201e671eeb89c305fd8
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Fixed issue in new dataclass mapping feature where a column declared on the
decalrative base / abstract base / mixin would leak into the constructor
for an inheriting subclass under some circumstances.
Fixes: #8718
Change-Id: Ic519acf239e2f80541516f10995991cbbbed00bd
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Improved support for legacy 1.4 mappings that use annotations which don't
include ``Mapped[]``, by ensuring the ``__allow_unmapped__`` attribute can
be used to allow such legacy annotations to pass through Annotated
Declarative without raising an error and without being interpreted in an
ORM runtime context. Additionally improved the error message generated when
this condition is detected, and added more documentation for how this
situation should be handled. Unfortunately the 1.4 WARN_SQLALCHEMY_20
migration warning cannot detect this particular configurational issue at
runtime with its current architecture.
Fixes: #8692
Change-Id: I5c642bcc1ebb7816f9470ec9bb0951550b6d55f1
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Fixed issue with new dataclass mapping feature where arguments passed to
the dataclasses API could sometimes be mis-ordered when dealing with mixins
that override :func:`_orm.mapped_column` declarations, leading to
initializer problems.
the change made here is specific to the test case given which regards
mapped_column() most specifically. cases that involve relationship()
etc. are not tested here, however mapped_column() is the only attribute
that's implicit without an instance given on the right side, and is also
most common for mixins. not clear if there are more issues in this
area, however it appears that we need only adjust the order in which we
accommodate grabbing the annotations in order to affect how dataclasses
sees the class; that is, we have control over ``__annotations__`` here
so dont have to worry about ``cls.__dict__``.
Fixes: #8688
Change-Id: I808c86f23d73aa47cd910ae01c3e07093d469fdc
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For 2.0, we provide a truly "larger than memory collection"
implementation, a write-only collection that will never
under any circumstances implicitly load the entire
collection, even during flush.
This is essentially a much more "strict" version
of the "dynamic" loader, which in fact has a lot of
scenarios that it loads the full backing collection
into memory, mostly defeating its purpose.
Typing constructs are added that support
both the new feature WriteOnlyMapping as well as the
legacy feature DynamicMapping. These have been
integrated with "annotion based mapping" so that
relationship() uses these annotations to configure
the loader strategy as well.
additional changes:
* the docs triggered a conflict in hybrid's
"transformers" section, this section is hard-coded
to Query using a pattern that doesnt seem to have
any use and isn't part of the current select()
interface, so just removed this section
* As the docs for WriteOnlyMapping are very long,
collections.rst is broken up into two pages now.
Fixes: #6229
Fixes: #7123
Change-Id: I6929f3da6e441cad92285e7309030a9bac4e429d
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We made all the MapperProperty classes a subclass
of Mapped[] to allow declarative mappings to name
Mapped[] on the left side. this was cheating a bit because
MapperProperty is not actually a descriptor, and the mapping
process replaces the object with InstrumentedAttribute at
mapping time, which is the actual Mapped[] descriptor.
But now in I6929f3da6e441cad92285e7309030a9bac4e429d we
are considering making the "cheating" a little more extensive
by putting DynamicMapped / WriteOnlyMapped in Relationship's
hierarchy, which need a flat out "type: ignore" to work.
Instead of pushing more cheats into the core classes, move
out the "Declarative"-facing versions of these classes to be
typing only: Relationship, Composite, Synonym, and MappedSQLExpression
added for ColumnProperty. Keep the internals expressed on the
old names, RelationshipProperty, CompositeProperty, SynonymProperty,
ColumnProprerty, which will remain "pure" with fully correct typing.
then have the typing only endpoints be where the "cheating"
and "type: ignores" have to happen, so that these are more or less
slightly better forms of "Any".
Change-Id: Ied7cc11196c9204da6851f49593d1b1fd2ef8ad8
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Fixes: #8346
Change-Id: I964629e3bd25221bf6df6ab31c59b3ce1983cd9a
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Documentation is relying on the recently improved
behavior of produce_column_copies() to make sure everything is
available on cls for a declared_attr. therefore for anno-only
attribute, we also need to generate the mapped_column() up front
before scan is called.
noticed in pylance, allow @declared_attr to recognize
@classmethod also which allows letting typing tools know
something is explicitly a classmethod
Change-Id: I07ff1a642a75679f685914a33c674807929f4918
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Fixed issue where a hierarchy of classes set up as an abstract or mixin
declarative classes could not declare standalone columns on a superclass
that would then be copied correctly to a :class:`_orm.declared_attr`
callable that wanted to make use of them on a descendant class.
Originally it looked like this would produce an ordering change,
however an adjustment to the flow for produce_column_copies
has avoided that for now.
Fixes: #8190
Change-Id: I4e2ee74edb110793eb42691c3e4a0e0535fba7e9
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* extract the inner type from Annotated when the outer type
isn't present in the type map, to allow for arbitrary Annotated
* allow _IntrospectsAnnotations objects to be directly present
in an Annotated and resolve the mapper property from that.
Currently implemented for mapped_column(), with message for
others. Can work for composite() and likely some
relationship() as well at some point
References: https://twitter.com/zzzeek/status/1536693554621341697 and
replies
Change-Id: I04657050a8785f194bf8f63291faf3475af88781
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* ClassVar for decl fields, add __tablename__
* dataclasses require annotations for all fields. For us,
if no annotation, then skip that field as part of what is
considered to be a "dataclass", as this matches the behavior
of pyright right now. We could alternatively raise on this
use, which is what dataclasses does. we should ask the pep
people
* plain field that's just "str", "int", etc., with no value.
Disallow it unless __allow_unmapped__ is set. If field
has dataclasses.field, Column, None, a value etc, it goes through,
and when using dataclasses mixin all such fields are considered
for the dataclass setup just like a dataclass. Hopefully this
does not have major backwards compat issues. __allow_unmapped__
can be set on the base class, mixins, etc., it's liberal for
now in case people have this problem.
* accommodate for ClassVar, these are not considered at all for
mapping.
Change-Id: Id743aa0456bade9a5d5832796caeecc3dc4accb7
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Change-Id: Iaf80526b70368cd4ed4147fdce9f6525b113474a
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Implement a new means of creating a mapped dataclass where
instead of applying the `@dataclass` decorator distinctly,
the declarative process itself can create the dataclass.
MapperProperty and MappedColumn objects themselves take
the place of the dataclasses.Field object when constructing
the class.
The overall approach is made possible at the typing level
using pep-681 dataclass transforms [1].
This new approach should be able to completely supersede the
previous "dataclasses" approach of embedding metadata into
Field() objects, which remains a mutually exclusive declarative
setup style (mixing them introduces new issues that are not worth
solving).
[1] https://peps.python.org/pep-0681/#transform-descriptor-types-example
Fixes: #7642
Change-Id: I6ba88a87c5df38270317b4faf085904d91c8a63c
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this appears to be unused and wasn't documented,
even though in the method sig for column_property().
just whack it
also repairs a typing issue in decl_base that seemed
to somehow not fail previously.
Change-Id: Id5c8e716b7e53715778921ab03707642cadbfdee
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Fixes: #8025
Change-Id: I83ba54f05bd2e5fc87d80f42fbeb6d4d2f2ac5fa
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trying to get remaining must-haves for ORM
Change-Id: I66a3ecbbb8e5ba37c818c8a92737b576ecf012f7
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I've turned "remove unused imports" back on so this
affects some not-used imports in TYPE_CHECKING blocks
Change-Id: I8b64ff4ec63f4cee01c2bf41399b691e1c3fb04a
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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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Modified the :class:`.DeclarativeMeta` metaclass to pass ``cls.__dict__``
into the declarative scanning process to look for attributes, rather than
the separate dictionary passed to the type's ``__init__()`` method. This
allows user-defined base classes that add attributes within an
``__init_subclass__()`` to work as expected, as ``__init_subclass__()`` can
only affect the ``cls.__dict__`` itself and not the other dictionary. This
is technically a regression from 1.3 where ``__dict__`` was being used.
Additionally makes the reference between ClassManager and
the declarative configuration object a weak reference, so that it
can be discarded after mappers are set up.
Fixes: #7900
Change-Id: I3c2fd4e227cc1891aa4bb3d7d5b43d5686f9f27c
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When a class has __table__, people will still want to
annotate the attributes on classes, so make sure a
Mapped annotation without a right side is only interpreted
as a column if there is no __table__
Change-Id: I7da4b4c43c4d2c8b6834b781569cb551e75b57b1
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This was from adding composite class introspection as a
means of determining column name, cols need to have their
normal attribute name set up already.
Fixes: #7751
Change-Id: I1fe61c135af9b1bf9bc289f683640e63bcc69045
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large patch to get ORM / typing efforts started.
this is to support adding new test cases to mypy,
support dropping sqlalchemy2-stubs entirely from the
test suite, validate major ORM typing reorganization
to eliminate the need for the mypy plugin.
* New declarative approach which uses annotation
introspection, fixes: #7535
* Mapped[] is now at the base of all ORM constructs
that find themselves in classes, to support direct
typing without plugins
* Mypy plugin updated for new typing structures
* Mypy test suite broken out into "plugin" tests vs.
"plain" tests, and enhanced to better support test
structures where we assert that various objects are
introspected by the type checker as we expect.
as we go forward with typing, we will
add new use cases to "plain" where we can assert that
types are introspected as we expect.
* For typing support, users will be much more exposed to the
class names of things. Add these all to "sqlalchemy" import
space.
* Column(ForeignKey()) no longer needs to be `@declared_attr`
if the FK refers to a remote table
* composite() attributes mapped to a dataclass no longer
need to implement a `__composite_values__()` method
* with_variant() accepts multiple dialect names
Change-Id: I22797c0be73a8fbbd2d6f5e0c0b7258b17fe145d
Fixes: #7535
Fixes: #7551
References: #6810
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start applying foundational annotations to key
elements.
two main elements addressed here:
1. removal of public_factory() and replacement with
explicit functions. this just works much better with
typing.
2. typing support for column expressions and operators.
The biggest part of this involves stubbing out all the
ColumnOperators methods under ColumnElement in a
TYPE_CHECKING section. Took me a while to see this
method vs. much more complicated things I thought
I needed.
Also for this version implementing #7519, ColumnElement
types against the Python type and not TypeEngine. it is
hoped this leads to easier transferrence between ORM/Core
as well as eventual support for result set typing.
Not clear yet how well this approach will work and what
new issues it may introduce.
given the current approach we now get full, rich typing for
scenarios like this:
from sqlalchemy import column, Integer, String, Boolean
c1 = column('a', String)
c2 = column('a', Integer)
expr1 = c2.in_([1, 2, 3])
expr2 = c2 / 5
expr3 = -c2
expr4_a = ~(c2 == 5)
expr4_b = ~column('q', Boolean)
expr5 = c1 + 'x'
expr6 = c2 + 10
Fixes: #7519
Fixes: #6810
Change-Id: I078d9f57955549f6f7868314287175f6c61c44cb
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