'in' can narrow TypedDict unions

mypy/checker.py

@@ -5017,6 +5017,45 @@ def conditional_callable_type_map(
 
         return None, {}
 
+    def conditional_types_for_iterable(
+        self, item_type: Type, iterable_type: Type
+    ) -> tuple[Type | None, Type | None]:
+        """
+        Narrows the type of `iterable_type` based on the type of `item_type`.
+        For now, we only support narrowing unions of TypedDicts based on left operand being literal string(s).
+        """
+        if_types: list[Type] = []
+        else_types: list[Type] = []
+
+        iterable_type = get_proper_type(iterable_type)
+        if isinstance(iterable_type, UnionType):
+            possible_iterable_types = get_proper_types(iterable_type.relevant_items())
+        else:
+            possible_iterable_types = [iterable_type]
+
+        item_str_literals = try_getting_str_literals_from_type(item_type)
+
+        for possible_iterable_type in possible_iterable_types:
+            if item_str_literals and isinstance(possible_iterable_type, TypedDictType):
+                for key in item_str_literals:
+                    if key in possible_iterable_type.required_keys:
+                        if_types.append(possible_iterable_type)
+                    elif (
+                        key in possible_iterable_type.items or not possible_iterable_type.is_final
+                    ):
+                        if_types.append(possible_iterable_type)
+                        else_types.append(possible_iterable_type)
+                    else:
+                        else_types.append(possible_iterable_type)
+            else:
+                if_types.append(possible_iterable_type)
+                else_types.append(possible_iterable_type)
+
+        return (
+            UnionType.make_union(if_types) if if_types else None,
+            UnionType.make_union(else_types) if else_types else None,
+        )
+
     def _is_truthy_type(self, t: ProperType) -> bool:
         return (
             (
@@ -5324,28 +5363,42 @@ def has_no_custom_eq_checks(t: Type) -> bool:
                 elif operator in {"in", "not in"}:
                     assert len(expr_indices) == 2
                     left_index, right_index = expr_indices
-                    if left_index not in narrowable_operand_index_to_hash:
-                        continue
-
                     item_type = operand_types[left_index]
-                    collection_type = operand_types[right_index]
+                    iterable_type = operand_types[right_index]
 
-                    # We only try and narrow away 'None' for now
-                    if not is_optional(item_type):
-                        continue
+                    if_map, else_map = {}, {}
+
+                    if left_index in narrowable_operand_index_to_hash:
+                        # We only try and narrow away 'None' for now
+                        if is_optional(item_type):
+                            collection_item_type = get_proper_type(
+                                builtin_item_type(iterable_type)
+                            )
+                            if (
+                                collection_item_type is not None
+                                and not is_optional(collection_item_type)
+                                and not (
+                                    isinstance(collection_item_type, Instance)
+                                    and collection_item_type.type.fullname == "builtins.object"
+                                )
+                                and is_overlapping_erased_types(item_type, collection_item_type)
+                            ):
+                                if_map[operands[left_index]] = remove_optional(item_type)
+
+                    if right_index in narrowable_operand_index_to_hash:
+                        if_type, else_type = self.conditional_types_for_iterable(
+                            item_type, iterable_type
+                        )
+                        expr = operands[right_index]
+                        if if_type is None:
+                            if_map = None
+                        else:
+                            if_map[expr] = if_type
+                        if else_type is None:
+                            else_map = None
+                        else:
+                            else_map[expr] = else_type
 
-                    collection_item_type = get_proper_type(builtin_item_type(collection_type))
-                    if collection_item_type is None or is_optional(collection_item_type):
-                        continue
-                    if (
-                        isinstance(collection_item_type, Instance)
-                        and collection_item_type.type.fullname == "builtins.object"
-                    ):
-                        continue
-                    if is_overlapping_erased_types(item_type, collection_item_type):
-                        if_map, else_map = {operands[left_index]: remove_optional(item_type)}, {}
-                    else:
-                        continue
                 else:
                     if_map = {}
                     else_map = {}

mypy/types.py

@@ -2290,6 +2290,10 @@ def deserialize(cls, data: JsonDict) -> TypedDictType:
             Instance.deserialize(data["fallback"]),
         )
 
+    @property
+    def is_final(self) -> bool:
+        return self.fallback.type.is_final
+
     def is_anonymous(self) -> bool:
         return self.fallback.type.fullname in TPDICT_FB_NAMES
 

test-data/unit/check-typeddict.test

@@ -2025,6 +2025,191 @@ v = {bad2: 2}  # E: Extra key "bad" for TypedDict "Value"
 [builtins fixtures/dict.pyi]
 [typing fixtures/typing-typeddict.pyi]
 
+[case testOperatorContainsNarrowsTypedDicts_unionWithList]
+from __future__ import annotations
+from typing import assert_type, TypedDict, Union
+from typing_extensions import final
+
+@final
+class D(TypedDict):
+    foo: int
+
+
+d_or_list: D | list[str]
+
+if 'foo' in d_or_list:
+    assert_type(d_or_list, Union[D, list[str]])
+elif 'bar' in d_or_list:
+    assert_type(d_or_list, list[str])
+else:
+    assert_type(d_or_list, list[str])
+
+[builtins fixtures/dict.pyi]
+[typing fixtures/typing-typeddict.pyi]
+
+[case testOperatorContainsNarrowsTypedDicts_total]
+from __future__ import annotations
+from typing import assert_type, Literal, TypedDict, TypeVar, Union
+from typing_extensions import final
+
+@final
+class D1(TypedDict):
+    foo: int
+
+
+@final
+class D2(TypedDict):
+    bar: int
+
+
+d: D1 | D2
+
+if 'foo' in d:
+    assert_type(d, D1)
+else:
+    assert_type(d, D2)
+
+foo_or_bar: Literal['foo', 'bar']
+if foo_or_bar in d:
+    assert_type(d, Union[D1, D2])
+else:
+    assert_type(d, Union[D1, D2])
+
+foo_or_invalid: Literal['foo', 'invalid']
+if foo_or_invalid in d:
+    assert_type(d, D1)
+    # won't narrow 'foo_or_invalid'
+    assert_type(foo_or_invalid, Literal['foo', 'invalid'])
+else:
+    assert_type(d, Union[D1, D2])
+    # won't narrow 'foo_or_invalid'
+    assert_type(foo_or_invalid, Literal['foo', 'invalid'])
+
+TD = TypeVar('TD', D1, D2)
+
+def f(arg: TD) -> None:
+    value: int
+    if 'foo' in arg:
+        assert_type(arg['foo'], int)
+    else:
+        assert_type(arg['bar'], int)
+
+
+[builtins fixtures/dict.pyi]
+[typing fixtures/typing-typeddict.pyi]
+
+[case testOperatorContainsNarrowsTypedDicts_final]
+# flags: --warn-unreachable
+from __future__ import annotations
+from typing import assert_type, TypedDict, Union
+from typing_extensions import final
+
+@final
+class DFinal(TypedDict):
+    foo: int
+
+
+class DNotFinal(TypedDict):
+    bar: int
+
+
+d_not_final: DNotFinal
+
+if 'bar' in d_not_final:
+    assert_type(d_not_final, DNotFinal)
+else:
+    spam = 'ham'  # E: Statement is unreachable
+
+if 'spam' in d_not_final:
+    assert_type(d_not_final, DNotFinal)
+else:
+    assert_type(d_not_final, DNotFinal)
+
+d_final: DFinal
+
+if 'spam' in d_final:
+    spam = 'ham'  # E: Statement is unreachable
+else:
+    assert_type(d_final, DFinal)
+
+d_union: DFinal | DNotFinal
+
+if 'foo' in d_union:
+    assert_type(d_union, Union[DFinal, DNotFinal])
+else:
+    assert_type(d_union, DNotFinal)
+
+[builtins fixtures/dict.pyi]
+[typing fixtures/typing-typeddict.pyi]
+
+[case testOperatorContainsNarrowsTypedDicts_partialThroughTotalFalse]
+from __future__ import annotations
+from typing import assert_type, Literal, TypedDict, Union
+from typing_extensions import final
+
+@final
+class DTotal(TypedDict):
+    required_key: int
+
+
+@final
+class DNotTotal(TypedDict, total=False):
+    optional_key: int
+
+
+d: DTotal | DNotTotal
+
+if 'required_key' in d:
+    assert_type(d, DTotal)
+else:
+    assert_type(d, DNotTotal)
+
+if 'optional_key' in d:
+    assert_type(d, DNotTotal)
+else:
+    assert_type(d, Union[DTotal, DNotTotal])
+
+key: Literal['optional_key', 'required_key']
+if key in d:
+    assert_type(d, Union[DTotal, DNotTotal])
+else:
+    assert_type(d, Union[DTotal, DNotTotal])
+
+[builtins fixtures/dict.pyi]
+[typing fixtures/typing-typeddict.pyi]
+
+[case testOperatorContainsNarrowsTypedDicts_partialThroughNotRequired]
+from __future__ import annotations
+from typing import assert_type, Required, NotRequired, TypedDict, Union
+from typing_extensions import final
+
+@final
+class D1(TypedDict):
+    required_key: Required[int]
+    optional_key: NotRequired[int]
+
+
+@final
+class D2(TypedDict):
+    abc: int
+    xyz: int
+
+
+d: D1 | D2
+
+if 'required_key' in d:
+    assert_type(d, D1)
+else:
+    assert_type(d, D2)
+
+if 'optional_key' in d:
+    assert_type(d, D1)
+else:
+    assert_type(d, Union[D1, D2])
+
+[builtins fixtures/dict.pyi]
+[typing fixtures/typing-typeddict.pyi]
+
 [case testCannotSubclassFinalTypedDict]
 from typing import TypedDict
 from typing_extensions import final

test-data/unit/fixtures/typing-typeddict.pyi

@@ -9,6 +9,7 @@
 from abc import ABCMeta
 
 cast = 0
+assert_type = 0
 overload = 0
 Any = 0
 Union = 0