505 lines
20 KiB
Python
505 lines
20 KiB
Python
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from __future__ import annotations
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from functools import partial
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from typing import Callable
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import mypy.errorcodes as codes
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from mypy import message_registry
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from mypy.nodes import DictExpr, IntExpr, StrExpr, UnaryExpr
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from mypy.plugin import (
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AttributeContext,
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ClassDefContext,
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FunctionContext,
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FunctionSigContext,
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MethodContext,
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MethodSigContext,
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Plugin,
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)
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from mypy.plugins.common import try_getting_str_literals
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from mypy.subtypes import is_subtype
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from mypy.typeops import is_literal_type_like, make_simplified_union
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from mypy.types import (
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TPDICT_FB_NAMES,
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AnyType,
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CallableType,
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FunctionLike,
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Instance,
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LiteralType,
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NoneType,
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TupleType,
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Type,
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TypedDictType,
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TypeOfAny,
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TypeVarType,
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UnionType,
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get_proper_type,
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get_proper_types,
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)
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class DefaultPlugin(Plugin):
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"""Type checker plugin that is enabled by default."""
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def get_function_hook(self, fullname: str) -> Callable[[FunctionContext], Type] | None:
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from mypy.plugins import ctypes, singledispatch
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if fullname == "_ctypes.Array":
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return ctypes.array_constructor_callback
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elif fullname == "functools.singledispatch":
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return singledispatch.create_singledispatch_function_callback
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return None
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def get_function_signature_hook(
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self, fullname: str
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) -> Callable[[FunctionSigContext], FunctionLike] | None:
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from mypy.plugins import attrs, dataclasses
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if fullname in ("attr.evolve", "attrs.evolve", "attr.assoc", "attrs.assoc"):
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return attrs.evolve_function_sig_callback
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elif fullname in ("attr.fields", "attrs.fields"):
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return attrs.fields_function_sig_callback
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elif fullname == "dataclasses.replace":
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return dataclasses.replace_function_sig_callback
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return None
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def get_method_signature_hook(
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self, fullname: str
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) -> Callable[[MethodSigContext], FunctionLike] | None:
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from mypy.plugins import ctypes, singledispatch
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if fullname == "typing.Mapping.get":
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return typed_dict_get_signature_callback
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elif fullname in {n + ".setdefault" for n in TPDICT_FB_NAMES}:
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return typed_dict_setdefault_signature_callback
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elif fullname in {n + ".pop" for n in TPDICT_FB_NAMES}:
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return typed_dict_pop_signature_callback
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elif fullname in {n + ".update" for n in TPDICT_FB_NAMES}:
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return typed_dict_update_signature_callback
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elif fullname == "_ctypes.Array.__setitem__":
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return ctypes.array_setitem_callback
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elif fullname == singledispatch.SINGLEDISPATCH_CALLABLE_CALL_METHOD:
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return singledispatch.call_singledispatch_function_callback
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return None
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def get_method_hook(self, fullname: str) -> Callable[[MethodContext], Type] | None:
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from mypy.plugins import ctypes, singledispatch
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if fullname == "typing.Mapping.get":
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return typed_dict_get_callback
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elif fullname == "builtins.int.__pow__":
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return int_pow_callback
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elif fullname == "builtins.int.__neg__":
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return int_neg_callback
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elif fullname in ("builtins.tuple.__mul__", "builtins.tuple.__rmul__"):
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return tuple_mul_callback
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elif fullname in {n + ".setdefault" for n in TPDICT_FB_NAMES}:
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return typed_dict_setdefault_callback
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elif fullname in {n + ".pop" for n in TPDICT_FB_NAMES}:
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return typed_dict_pop_callback
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elif fullname in {n + ".__delitem__" for n in TPDICT_FB_NAMES}:
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return typed_dict_delitem_callback
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elif fullname == "_ctypes.Array.__getitem__":
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return ctypes.array_getitem_callback
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elif fullname == "_ctypes.Array.__iter__":
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return ctypes.array_iter_callback
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elif fullname == singledispatch.SINGLEDISPATCH_REGISTER_METHOD:
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return singledispatch.singledispatch_register_callback
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elif fullname == singledispatch.REGISTER_CALLABLE_CALL_METHOD:
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return singledispatch.call_singledispatch_function_after_register_argument
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return None
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def get_attribute_hook(self, fullname: str) -> Callable[[AttributeContext], Type] | None:
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from mypy.plugins import ctypes, enums
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if fullname == "_ctypes.Array.value":
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return ctypes.array_value_callback
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elif fullname == "_ctypes.Array.raw":
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return ctypes.array_raw_callback
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elif fullname in enums.ENUM_NAME_ACCESS:
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return enums.enum_name_callback
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elif fullname in enums.ENUM_VALUE_ACCESS:
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return enums.enum_value_callback
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return None
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def get_class_decorator_hook(self, fullname: str) -> Callable[[ClassDefContext], None] | None:
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from mypy.plugins import attrs, dataclasses
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# These dataclass and attrs hooks run in the main semantic analysis pass
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# and only tag known dataclasses/attrs classes, so that the second
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# hooks (in get_class_decorator_hook_2) can detect dataclasses/attrs classes
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# in the MRO.
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if fullname in dataclasses.dataclass_makers:
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return dataclasses.dataclass_tag_callback
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if (
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fullname in attrs.attr_class_makers
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or fullname in attrs.attr_dataclass_makers
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or fullname in attrs.attr_frozen_makers
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or fullname in attrs.attr_define_makers
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):
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return attrs.attr_tag_callback
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return None
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def get_class_decorator_hook_2(
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self, fullname: str
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) -> Callable[[ClassDefContext], bool] | None:
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from mypy.plugins import attrs, dataclasses, functools
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if fullname in dataclasses.dataclass_makers:
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return dataclasses.dataclass_class_maker_callback
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elif fullname in functools.functools_total_ordering_makers:
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return functools.functools_total_ordering_maker_callback
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elif fullname in attrs.attr_class_makers:
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return attrs.attr_class_maker_callback
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elif fullname in attrs.attr_dataclass_makers:
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return partial(attrs.attr_class_maker_callback, auto_attribs_default=True)
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elif fullname in attrs.attr_frozen_makers:
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return partial(
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attrs.attr_class_maker_callback, auto_attribs_default=None, frozen_default=True
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)
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elif fullname in attrs.attr_define_makers:
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return partial(
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attrs.attr_class_maker_callback, auto_attribs_default=None, slots_default=True
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)
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return None
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def typed_dict_get_signature_callback(ctx: MethodSigContext) -> CallableType:
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"""Try to infer a better signature type for TypedDict.get.
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This is used to get better type context for the second argument that
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depends on a TypedDict value type.
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"""
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signature = ctx.default_signature
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if (
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isinstance(ctx.type, TypedDictType)
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and len(ctx.args) == 2
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and len(ctx.args[0]) == 1
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and isinstance(ctx.args[0][0], StrExpr)
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and len(signature.arg_types) == 2
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and len(signature.variables) == 1
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and len(ctx.args[1]) == 1
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):
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key = ctx.args[0][0].value
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value_type = get_proper_type(ctx.type.items.get(key))
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ret_type = signature.ret_type
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if value_type:
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default_arg = ctx.args[1][0]
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if (
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isinstance(value_type, TypedDictType)
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and isinstance(default_arg, DictExpr)
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and len(default_arg.items) == 0
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):
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# Caller has empty dict {} as default for typed dict.
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value_type = value_type.copy_modified(required_keys=set())
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# Tweak the signature to include the value type as context. It's
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# only needed for type inference since there's a union with a type
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# variable that accepts everything.
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tv = signature.variables[0]
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assert isinstance(tv, TypeVarType)
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return signature.copy_modified(
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arg_types=[signature.arg_types[0], make_simplified_union([value_type, tv])],
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ret_type=ret_type,
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)
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return signature
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def typed_dict_get_callback(ctx: MethodContext) -> Type:
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"""Infer a precise return type for TypedDict.get with literal first argument."""
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if (
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isinstance(ctx.type, TypedDictType)
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and len(ctx.arg_types) >= 1
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and len(ctx.arg_types[0]) == 1
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):
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keys = try_getting_str_literals(ctx.args[0][0], ctx.arg_types[0][0])
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if keys is None:
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return ctx.default_return_type
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output_types: list[Type] = []
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for key in keys:
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value_type = get_proper_type(ctx.type.items.get(key))
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if value_type is None:
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return ctx.default_return_type
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if len(ctx.arg_types) == 1:
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output_types.append(value_type)
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elif len(ctx.arg_types) == 2 and len(ctx.arg_types[1]) == 1 and len(ctx.args[1]) == 1:
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default_arg = ctx.args[1][0]
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if (
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isinstance(default_arg, DictExpr)
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and len(default_arg.items) == 0
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and isinstance(value_type, TypedDictType)
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):
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# Special case '{}' as the default for a typed dict type.
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output_types.append(value_type.copy_modified(required_keys=set()))
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else:
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output_types.append(value_type)
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output_types.append(ctx.arg_types[1][0])
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if len(ctx.arg_types) == 1:
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output_types.append(NoneType())
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return make_simplified_union(output_types)
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return ctx.default_return_type
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def typed_dict_pop_signature_callback(ctx: MethodSigContext) -> CallableType:
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"""Try to infer a better signature type for TypedDict.pop.
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This is used to get better type context for the second argument that
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depends on a TypedDict value type.
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"""
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signature = ctx.default_signature
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str_type = ctx.api.named_generic_type("builtins.str", [])
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if (
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isinstance(ctx.type, TypedDictType)
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and len(ctx.args) == 2
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and len(ctx.args[0]) == 1
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and isinstance(ctx.args[0][0], StrExpr)
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and len(signature.arg_types) == 2
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and len(signature.variables) == 1
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and len(ctx.args[1]) == 1
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):
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key = ctx.args[0][0].value
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value_type = ctx.type.items.get(key)
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if value_type:
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# Tweak the signature to include the value type as context. It's
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# only needed for type inference since there's a union with a type
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# variable that accepts everything.
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tv = signature.variables[0]
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assert isinstance(tv, TypeVarType)
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typ = make_simplified_union([value_type, tv])
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return signature.copy_modified(arg_types=[str_type, typ], ret_type=typ)
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return signature.copy_modified(arg_types=[str_type, signature.arg_types[1]])
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def typed_dict_pop_callback(ctx: MethodContext) -> Type:
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"""Type check and infer a precise return type for TypedDict.pop."""
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if (
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isinstance(ctx.type, TypedDictType)
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and len(ctx.arg_types) >= 1
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and len(ctx.arg_types[0]) == 1
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):
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keys = try_getting_str_literals(ctx.args[0][0], ctx.arg_types[0][0])
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if keys is None:
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ctx.api.fail(
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message_registry.TYPEDDICT_KEY_MUST_BE_STRING_LITERAL,
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ctx.context,
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code=codes.LITERAL_REQ,
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)
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return AnyType(TypeOfAny.from_error)
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value_types = []
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for key in keys:
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if key in ctx.type.required_keys:
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ctx.api.msg.typeddict_key_cannot_be_deleted(ctx.type, key, ctx.context)
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value_type = ctx.type.items.get(key)
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if value_type:
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value_types.append(value_type)
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else:
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ctx.api.msg.typeddict_key_not_found(ctx.type, key, ctx.context)
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return AnyType(TypeOfAny.from_error)
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if len(ctx.args[1]) == 0:
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return make_simplified_union(value_types)
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elif len(ctx.arg_types) == 2 and len(ctx.arg_types[1]) == 1 and len(ctx.args[1]) == 1:
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return make_simplified_union([*value_types, ctx.arg_types[1][0]])
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return ctx.default_return_type
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def typed_dict_setdefault_signature_callback(ctx: MethodSigContext) -> CallableType:
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"""Try to infer a better signature type for TypedDict.setdefault.
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This is used to get better type context for the second argument that
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depends on a TypedDict value type.
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"""
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signature = ctx.default_signature
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str_type = ctx.api.named_generic_type("builtins.str", [])
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if (
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isinstance(ctx.type, TypedDictType)
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and len(ctx.args) == 2
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and len(ctx.args[0]) == 1
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and isinstance(ctx.args[0][0], StrExpr)
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and len(signature.arg_types) == 2
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and len(ctx.args[1]) == 1
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):
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key = ctx.args[0][0].value
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value_type = ctx.type.items.get(key)
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if value_type:
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return signature.copy_modified(arg_types=[str_type, value_type])
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return signature.copy_modified(arg_types=[str_type, signature.arg_types[1]])
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def typed_dict_setdefault_callback(ctx: MethodContext) -> Type:
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"""Type check TypedDict.setdefault and infer a precise return type."""
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if (
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isinstance(ctx.type, TypedDictType)
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and len(ctx.arg_types) == 2
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and len(ctx.arg_types[0]) == 1
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and len(ctx.arg_types[1]) == 1
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):
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keys = try_getting_str_literals(ctx.args[0][0], ctx.arg_types[0][0])
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if keys is None:
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ctx.api.fail(
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message_registry.TYPEDDICT_KEY_MUST_BE_STRING_LITERAL,
|
||
|
|
ctx.context,
|
||
|
|
code=codes.LITERAL_REQ,
|
||
|
|
)
|
||
|
|
return AnyType(TypeOfAny.from_error)
|
||
|
|
|
||
|
|
default_type = ctx.arg_types[1][0]
|
||
|
|
|
||
|
|
value_types = []
|
||
|
|
for key in keys:
|
||
|
|
value_type = ctx.type.items.get(key)
|
||
|
|
|
||
|
|
if value_type is None:
|
||
|
|
ctx.api.msg.typeddict_key_not_found(ctx.type, key, ctx.context)
|
||
|
|
return AnyType(TypeOfAny.from_error)
|
||
|
|
|
||
|
|
# The signature_callback above can't always infer the right signature
|
||
|
|
# (e.g. when the expression is a variable that happens to be a Literal str)
|
||
|
|
# so we need to handle the check ourselves here and make sure the provided
|
||
|
|
# default can be assigned to all key-value pairs we're updating.
|
||
|
|
if not is_subtype(default_type, value_type):
|
||
|
|
ctx.api.msg.typeddict_setdefault_arguments_inconsistent(
|
||
|
|
default_type, value_type, ctx.context
|
||
|
|
)
|
||
|
|
return AnyType(TypeOfAny.from_error)
|
||
|
|
|
||
|
|
value_types.append(value_type)
|
||
|
|
|
||
|
|
return make_simplified_union(value_types)
|
||
|
|
return ctx.default_return_type
|
||
|
|
|
||
|
|
|
||
|
|
def typed_dict_delitem_callback(ctx: MethodContext) -> Type:
|
||
|
|
"""Type check TypedDict.__delitem__."""
|
||
|
|
if (
|
||
|
|
isinstance(ctx.type, TypedDictType)
|
||
|
|
and len(ctx.arg_types) == 1
|
||
|
|
and len(ctx.arg_types[0]) == 1
|
||
|
|
):
|
||
|
|
keys = try_getting_str_literals(ctx.args[0][0], ctx.arg_types[0][0])
|
||
|
|
if keys is None:
|
||
|
|
ctx.api.fail(
|
||
|
|
message_registry.TYPEDDICT_KEY_MUST_BE_STRING_LITERAL,
|
||
|
|
ctx.context,
|
||
|
|
code=codes.LITERAL_REQ,
|
||
|
|
)
|
||
|
|
return AnyType(TypeOfAny.from_error)
|
||
|
|
|
||
|
|
for key in keys:
|
||
|
|
if key in ctx.type.required_keys:
|
||
|
|
ctx.api.msg.typeddict_key_cannot_be_deleted(ctx.type, key, ctx.context)
|
||
|
|
elif key not in ctx.type.items:
|
||
|
|
ctx.api.msg.typeddict_key_not_found(ctx.type, key, ctx.context)
|
||
|
|
return ctx.default_return_type
|
||
|
|
|
||
|
|
|
||
|
|
def typed_dict_update_signature_callback(ctx: MethodSigContext) -> CallableType:
|
||
|
|
"""Try to infer a better signature type for TypedDict.update."""
|
||
|
|
signature = ctx.default_signature
|
||
|
|
if isinstance(ctx.type, TypedDictType) and len(signature.arg_types) == 1:
|
||
|
|
arg_type = get_proper_type(signature.arg_types[0])
|
||
|
|
assert isinstance(arg_type, TypedDictType)
|
||
|
|
arg_type = arg_type.as_anonymous()
|
||
|
|
arg_type = arg_type.copy_modified(required_keys=set())
|
||
|
|
if ctx.args and ctx.args[0]:
|
||
|
|
with ctx.api.msg.filter_errors():
|
||
|
|
inferred = get_proper_type(
|
||
|
|
ctx.api.get_expression_type(ctx.args[0][0], type_context=arg_type)
|
||
|
|
)
|
||
|
|
possible_tds = []
|
||
|
|
if isinstance(inferred, TypedDictType):
|
||
|
|
possible_tds = [inferred]
|
||
|
|
elif isinstance(inferred, UnionType):
|
||
|
|
possible_tds = [
|
||
|
|
t
|
||
|
|
for t in get_proper_types(inferred.relevant_items())
|
||
|
|
if isinstance(t, TypedDictType)
|
||
|
|
]
|
||
|
|
items = []
|
||
|
|
for td in possible_tds:
|
||
|
|
item = arg_type.copy_modified(
|
||
|
|
required_keys=(arg_type.required_keys | td.required_keys)
|
||
|
|
& arg_type.items.keys()
|
||
|
|
)
|
||
|
|
if not ctx.api.options.extra_checks:
|
||
|
|
item = item.copy_modified(item_names=list(td.items))
|
||
|
|
items.append(item)
|
||
|
|
if items:
|
||
|
|
arg_type = make_simplified_union(items)
|
||
|
|
return signature.copy_modified(arg_types=[arg_type])
|
||
|
|
return signature
|
||
|
|
|
||
|
|
|
||
|
|
def int_pow_callback(ctx: MethodContext) -> Type:
|
||
|
|
"""Infer a more precise return type for int.__pow__."""
|
||
|
|
# int.__pow__ has an optional modulo argument,
|
||
|
|
# so we expect 2 argument positions
|
||
|
|
if len(ctx.arg_types) == 2 and len(ctx.arg_types[0]) == 1 and len(ctx.arg_types[1]) == 0:
|
||
|
|
arg = ctx.args[0][0]
|
||
|
|
if isinstance(arg, IntExpr):
|
||
|
|
exponent = arg.value
|
||
|
|
elif isinstance(arg, UnaryExpr) and arg.op == "-" and isinstance(arg.expr, IntExpr):
|
||
|
|
exponent = -arg.expr.value
|
||
|
|
else:
|
||
|
|
# Right operand not an int literal or a negated literal -- give up.
|
||
|
|
return ctx.default_return_type
|
||
|
|
if exponent >= 0:
|
||
|
|
return ctx.api.named_generic_type("builtins.int", [])
|
||
|
|
else:
|
||
|
|
return ctx.api.named_generic_type("builtins.float", [])
|
||
|
|
return ctx.default_return_type
|
||
|
|
|
||
|
|
|
||
|
|
def int_neg_callback(ctx: MethodContext) -> Type:
|
||
|
|
"""Infer a more precise return type for int.__neg__.
|
||
|
|
|
||
|
|
This is mainly used to infer the return type as LiteralType
|
||
|
|
if the original underlying object is a LiteralType object
|
||
|
|
"""
|
||
|
|
if isinstance(ctx.type, Instance) and ctx.type.last_known_value is not None:
|
||
|
|
value = ctx.type.last_known_value.value
|
||
|
|
fallback = ctx.type.last_known_value.fallback
|
||
|
|
if isinstance(value, int):
|
||
|
|
if is_literal_type_like(ctx.api.type_context[-1]):
|
||
|
|
return LiteralType(value=-value, fallback=fallback)
|
||
|
|
else:
|
||
|
|
return ctx.type.copy_modified(
|
||
|
|
last_known_value=LiteralType(
|
||
|
|
value=-value, fallback=ctx.type, line=ctx.type.line, column=ctx.type.column
|
||
|
|
)
|
||
|
|
)
|
||
|
|
elif isinstance(ctx.type, LiteralType):
|
||
|
|
value = ctx.type.value
|
||
|
|
fallback = ctx.type.fallback
|
||
|
|
if isinstance(value, int):
|
||
|
|
return LiteralType(value=-value, fallback=fallback)
|
||
|
|
return ctx.default_return_type
|
||
|
|
|
||
|
|
|
||
|
|
def tuple_mul_callback(ctx: MethodContext) -> Type:
|
||
|
|
"""Infer a more precise return type for tuple.__mul__ and tuple.__rmul__.
|
||
|
|
|
||
|
|
This is used to return a specific sized tuple if multiplied by Literal int
|
||
|
|
"""
|
||
|
|
if not isinstance(ctx.type, TupleType):
|
||
|
|
return ctx.default_return_type
|
||
|
|
|
||
|
|
arg_type = get_proper_type(ctx.arg_types[0][0])
|
||
|
|
if isinstance(arg_type, Instance) and arg_type.last_known_value is not None:
|
||
|
|
value = arg_type.last_known_value.value
|
||
|
|
if isinstance(value, int):
|
||
|
|
return ctx.type.copy_modified(items=ctx.type.items * value)
|
||
|
|
elif isinstance(ctx.type, LiteralType):
|
||
|
|
value = arg_type.value
|
||
|
|
if isinstance(value, int):
|
||
|
|
return ctx.type.copy_modified(items=ctx.type.items * value)
|
||
|
|
|
||
|
|
return ctx.default_return_type
|