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1da22d34fd7b2b16a8db7fb0e31f782ba637a73c
openide/python/python-psi-impl/resources/META-INF/PythonPsiImpl.xml
Mikhail Golubev 1da22d34fd PY-54560 Support PEP-681 dataclass_transform 
`dataclass_transform` support posed a number of challenges to the current
AST/PSI stubs separation in our architecture. For the standard "dataclasses"
module and the "attrs" package API, we could rely on well-known names
and defaults to recognize and preserve the information about decorator
arguments and field specifier arguments in PSI stubs. With `dataclass_transform`
however, effectively any decorator call or extending any base class can indicate
using a "magical" API that should generate dataclass-like entities.
At the moment of building PSI stubs we can't be sure, because we can't leave
the boundaries of the current file to resolve these names and determine if these
decorators and base classes are decorated themselves with `dataclass_transform`.

To support that, we instead rely on well-known keyword argument names documented
in the spec, e.g. "kw_only" or "frozen". In other words, whenever we encounter
any decorator call or a superclass list with such keyword arguments, we generate
a `PyDataclassStub` stub for the corresponding class.

The same thing is happening with class attribute initializers, i.e. whenever
we see a function call with argument such as "default" or "kw_only" in their
RHS, we generate a `PyDataclassFieldStub` for the corresponding target expression.
Both of these stub interfaces now can contain null values for the corresponding
properties if they were not specified directly in the class definition.

Finally, for the `dataclass_transform` decorator itself, a new custom decorator stub
was introduced -- `PyDataclassTransformDecoratorStub`, it preserves its keyword
arguments, such as "keyword_only_default" or "frozen_default" controlling
the default properties of generated dataclasses.

Later, when we need concluded information about specific dataclass properties,
e.g. in `PyDataclassTypeProvider` to generate a constructor signature, or in
`PyDataclassInspection`, we try to "resolve" this incomplete information from stubs
into finalized `PyDataclassParameters` and `PyDataclassFieldParameters` that
contain non-null versions of the same fields. The main entry points for that
are `resolveDataclassParameters` and `resolveDataclassFieldParameters`.
These methods additionally handle the situations where decorators, superclass
lists and field specifiers lack any keyword arguments, and thus, there were no
automatically created custom stubs for them.

All the existing usages of `PyDataclassStub` and `PyDataclassFieldStub`
were updated to operate on `PyDataclassParameters` and `PyDataclassFieldParameters`
instead.

Counterparts of the tests on various inspection checks for the standard dataclasses
definitions were added for dataclasses created with `dataclass_transform`, even
though the spec is unclear on some aspects the expected type checker semantics, e.g.
if combining "eq=False" and "order=True" or specifying both "default" and
"default_factory" for a field should be reported.
I tried to follow common sense when enabling existing checks for such arbitrary
user-defined dataclass APIs.

GitOrigin-RevId: 4180a1e32b5e4025fc4e3ed49bb8d67af0d60e66
2024-09-09 11:34:15 +00:00

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<registryKey defaultValue="true"
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<registryKey defaultValue="false"
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<registryKey key="python.explicit.namespace.packages" defaultValue="true" restartRequired="true"
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<registryKey key="python.type.hints.literal.string" defaultValue="true"
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<registryKey key="python.statement.lists.incremental.reparse" defaultValue="false"
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<extensionPoints>
<extensionPoint qualifiedName="Pythonid.customTargetExpressionStubType"
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dynamic="true"/>
<extensionPoint qualifiedName="Pythonid.customClassStubType"
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<extensionPoint qualifiedName="Pythonid.customDecoratorStubType"
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<extensionPoint qualifiedName="Pythonid.visitorFilter"
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dynamic="true">
<with attribute="implementationClass" implements="com.jetbrains.python.psi.PythonVisitorFilter"/>
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<extensionPoint qualifiedName="Pythonid.pyReferenceCustomTargetChecker"
interface="com.jetbrains.python.psi.impl.references.PyReferenceCustomTargetChecker"
dynamic="true"/>
<extensionPoint qualifiedName="Pythonid.typeCheckerExtension"
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<extensionPoint qualifiedName="Pythonid.pyDataclassParametersProvider"
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<extensionPoint qualifiedName="Pythonid.importCandidateProvider"
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<extensionPoint qualifiedName="Pythonid.pyiStubSuppressor"
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dynamic="true"/>
<extensionPoint qualifiedName="com.jetbrains.python.pythonHelpersLocator"
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<extensions defaultExtensionNs="Pythonid">
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<pyClassInheritorsSearch implementation="com.jetbrains.python.psi.search.PyClassInheritorsSearchExecutor"/>
<pyOverridingMethodsSearch implementation="com.jetbrains.python.psi.search.PyOverridingMethodsSearchExecutor"/>
<customTargetExpressionStubType implementation="com.jetbrains.python.psi.impl.stubs.PropertyStubType"/>
<customTargetExpressionStubType implementation="com.jetbrains.python.psi.impl.stubs.PyNamedTupleStubType"/>
<customTargetExpressionStubType implementation="com.jetbrains.python.psi.impl.stubs.PyTypedDictStubType"/>
<customTargetExpressionStubType implementation="com.jetbrains.python.psi.impl.stubs.PyTypingAliasStubType"/>
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<customTargetExpressionStubType implementation="com.jetbrains.python.psi.impl.stubs.PyTypingNewTypeStubType"/>
<customClassStubType implementation="com.jetbrains.python.psi.impl.stubs.PyDataclassStubType"/>
<customDecoratorStubType implementation="com.jetbrains.python.psi.stubs.PyTestFixtureDecoratorStubType"/>
<customDecoratorStubType implementation="com.jetbrains.python.psi.stubs.PyFunctoolsWrapsDecoratorStubType"/>
<customDecoratorStubType implementation="com.jetbrains.python.psi.stubs.PyDataclassTransformDecoratorStubType"/>
<typeProvider implementation="com.jetbrains.python.psi.types.PyCollectionTypeByModificationsProvider" order="last"/>
<!-- typing -->
<typeProvider implementation="com.jetbrains.python.codeInsight.typing.PyTypingTypeProvider"/>
<typeProvider implementation="com.jetbrains.python.pyi.PyiTypeProvider"/>
<typeProvider implementation="com.jetbrains.python.codeInsight.typing.PyTypedDictTypeProvider"/>
<typeProvider implementation="com.jetbrains.python.codeInsight.typing.PyTypingNewTypeTypeProvider"/>
<pyClassMembersProvider implementation="com.jetbrains.python.pyi.PyiClassMembersProvider"/>
<pyReferenceResolveProvider implementation="com.jetbrains.python.psi.resolve.PyForwardReferenceResolveProvider"/>
<inspectionExtension implementation="com.jetbrains.python.pyi.PyiInspectionExtension"/>
<inspectionExtension implementation="com.jetbrains.python.codeInsight.typing.PyTypingInspectionExtension"/>
<customPackageIdentifier implementation="com.jetbrains.python.pyi.PyiCustomPackageIdentifier"/>
<!-- IPython -->
<pyReferenceResolveProvider implementation="com.jetbrains.python.psi.resolve.PyIPythonBuiltinReferenceResolveProvider"/>
<!-- User skeletons -->
<pyModuleMembersProvider implementation="com.jetbrains.python.codeInsight.userSkeletons.PyUserSkeletonsModuleMembersProvider"/>
<pyClassMembersProvider implementation="com.jetbrains.python.codeInsight.userSkeletons.PyUserSkeletonsClassMembersProvider"/>
<typeProvider implementation="com.jetbrains.python.codeInsight.userSkeletons.PyUserSkeletonsTypeProvider"/>
<pyReferenceResolveProvider implementation="com.jetbrains.python.psi.resolve.PythonBuiltinReferenceResolveProvider"/>
<pyReferenceResolveProvider implementation="com.jetbrains.python.psi.resolve.PythonOverridingBuiltinReferenceResolveProvider"/>
<!-- PyDocstring -->
<typeProvider implementation="com.jetbrains.python.documentation.docstrings.PyDocStringTypeProvider" id="pythonDocstringTypeProvider"/>
<dialectsTokenSetContributor implementation="com.jetbrains.python.documentation.doctest.PyDocstringTokenSetContributor"/>
<!-- Type from ancestors -->
<typeProvider implementation="com.jetbrains.python.codeInsight.typing.PyAncestorTypeProvider" order="last"/>
<!-- NumPy -->
<typeProvider implementation="com.jetbrains.python.numpy.codeInsight.NumpyDocStringTypeProvider"
order="before pythonDocstringTypeProvider"/>
<pyClassMembersProvider implementation="com.jetbrains.python.numpy.codeInsight.NumpyClassMembersProvider"/>
<pyModuleMembersProvider implementation="com.jetbrains.python.numpy.codeInsight.NumpyModuleMembersProvider"/>
<resolveResultRater implementation="com.jetbrains.python.numpy.codeInsight.NumpyResolveRater"/>
<pyiStubSuppressor implementation="com.jetbrains.python.numpy.codeInsight.NumpyPyiStubsSuppressor"/>
<!--stdlib-->
<canonicalPathProvider implementation="com.jetbrains.python.codeInsight.stdlib.PyStdlibCanonicalPathProvider"/>
<inspectionExtension implementation="com.jetbrains.python.inspections.stdlib.PyStdlibInspectionExtension"/>
<typeProvider implementation="com.jetbrains.python.codeInsight.stdlib.PyDataclassTypeProvider"/>
<typeProvider implementation="com.jetbrains.python.codeInsight.decorator.PyDecoratedFunctionTypeProvider"
id="pyDecoratedFunctionTypeProvider"/>
<typeProvider implementation="com.jetbrains.python.codeInsight.decorator.PyFunctoolsWrapsDecoratedFunctionTypeProvider"
order="before pyDecoratedFunctionTypeProvider"/>
<typeProvider implementation="com.jetbrains.python.codeInsight.stdlib.PyNamedTupleTypeProvider"/>
<!-- This provider should be able to override the results on anything else, including types coming from .pyi stubs -->
<typeProvider implementation="com.jetbrains.python.codeInsight.stdlib.PyStdlibTypeProvider" order="first"/>
<pyClassMembersProvider implementation="com.jetbrains.python.codeInsight.stdlib.PyOverridingClassDunderMembersProvider"/>
<pyClassMembersProvider implementation="com.jetbrains.python.codeInsight.stdlib.PyStdlibClassMembersProvider"/>
<pyModuleMembersProvider implementation="com.jetbrains.python.codeInsight.stdlib.PyStdlibOverridingModuleMembersProvider"/>
<!-- TensorFlow -->
<importResolver implementation="com.jetbrains.python.tensorFlow.PyTensorFlowImportResolver"/>
<pyModuleMembersProvider implementation="com.jetbrains.python.tensorFlow.PyTensorFlowModuleMembersProvider"/>
<pyiStubSuppressor implementation="com.jetbrains.python.tensorFlow.TensorflowPyiStubsSuppressor"/>
</extensions>
<extensions defaultExtensionNs="com.jetbrains.python">
<pythonHelpersLocator implementation="com.jetbrains.python.PythonHelpersLocatorDefault" />
</extensions>
</idea-plugin>
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