Disambiguate dataclasses too

HISTORY.md

@@ -19,6 +19,8 @@ Our backwards-compatibility policy can be found [here](https://github.com/python
   ([#432](https://github.com/python-attrs/cattrs/issues/432) [#472](https://github.com/python-attrs/cattrs/pull/472))
 - The default union handler now properly takes renamed fields into account.
   ([#472](https://github.com/python-attrs/cattrs/pull/472))
+- The default union handler now also handles dataclasses.
+  ([#](https://github.com/python-attrs/cattrs/pull/))
 - Add support for [PEP 695](https://peps.python.org/pep-0695/) type aliases.
   ([#452](https://github.com/python-attrs/cattrs/pull/452))
 - The `include_subclasses` strategy now fetches the member hooks from the converter (making use of converter defaults) if overrides are not provided, instead of generating new hooks with no overrides.

docs/unions.md

@@ -1,9 +1,9 @@
 # Handling Unions
 
-_cattrs_ is able to handle simple unions of _attrs_ classes [automatically](#default-union-strategy).
+_cattrs_ is able to handle simple unions of _attrs_ classes and dataclasses [automatically](#default-union-strategy).
 More complex cases require converter customization (since there are many ways of handling unions).
 
-_cattrs_ also comes with a number of strategies to help handle unions:
+_cattrs_ also comes with a number of optional strategies to help handle unions:
 
 - [tagged unions strategy](strategies.md#tagged-unions-strategy) mentioned below
 - [union passthrough strategy](strategies.md#union-passthrough), which is preapplied to all the [preconfigured](preconf.md) converters
@@ -12,10 +12,10 @@ _cattrs_ also comes with a number of strategies to help handle unions:
 
 For convenience, _cattrs_ includes a default union structuring strategy which is a little more opinionated.
 
-Given a union of several _attrs_ classes, the default union strategy will attempt to handle it in several ways.
+Given a union of several _attrs_ classes and/or dataclasses, the default union strategy will attempt to handle it in several ways.
 
 First, it will look for `Literal` fields.
-If all members of the union contain a literal field, _cattrs_ will generate a disambiguation function based on the field.
+If _all members_ of the union contain a literal field, _cattrs_ will generate a disambiguation function based on the field.
 
 ```python
 from typing import Literal
@@ -68,6 +68,10 @@ The field `field_with_default` will not be considered since it has a default val
 Literals can now be potentially used to disambiguate.
 ```
 
+```{versionchanged} 24.1.0
+Dataclasses are now supported in addition to _attrs_ classes.
+```
+
 ## Unstructuring Unions with Extra Metadata
 
 ```{note}

src/cattrs/_compat.py

@@ -2,7 +2,7 @@
 from collections import deque
 from collections.abc import MutableSet as AbcMutableSet
 from collections.abc import Set as AbcSet
-from dataclasses import MISSING, is_dataclass
+from dataclasses import MISSING, Field, is_dataclass
 from dataclasses import fields as dataclass_fields
 from typing import AbstractSet as TypingAbstractSet
 from typing import (
@@ -18,6 +18,7 @@
     Protocol,
     Tuple,
     Type,
+    Union,
     get_args,
     get_origin,
     get_type_hints,
@@ -31,9 +32,11 @@
 
 from attrs import NOTHING, Attribute, Factory, resolve_types
 from attrs import fields as attrs_fields
+from attrs import fields_dict as attrs_fields_dict
 
 __all__ = [
     "adapted_fields",
+    "fields_dict",
     "ExceptionGroup",
     "ExtensionsTypedDict",
     "get_type_alias_base",
@@ -119,6 +122,13 @@ def fields(type):
             raise Exception("Not an attrs or dataclass class.") from None
 
 
+def fields_dict(type) -> Dict[str, Union[Attribute, Field]]:
+    """Return the fields_dict for attrs and dataclasses."""
+    if is_dataclass(type):
+        return {f.name: f for f in dataclass_fields(type)}
+    return attrs_fields_dict(type)
+
+
 def adapted_fields(cl) -> List[Attribute]:
     """Return the attrs format of `fields()` for attrs and dataclasses."""
     if is_dataclass(cl):

src/cattrs/disambiguators.py

@@ -2,13 +2,23 @@
 from __future__ import annotations
 
 from collections import defaultdict
+from dataclasses import MISSING
 from functools import reduce
 from operator import or_
 from typing import TYPE_CHECKING, Any, Callable, Literal, Mapping, Union
 
-from attrs import NOTHING, Attribute, AttrsInstance, fields, fields_dict
-
-from ._compat import NoneType, get_args, get_origin, has, is_literal, is_union_type
+from attrs import NOTHING, Attribute, AttrsInstance
+
+from ._compat import (
+    NoneType,
+    adapted_fields,
+    fields_dict,
+    get_args,
+    get_origin,
+    has,
+    is_literal,
+    is_union_type,
+)
 from .gen import AttributeOverride
 
 if TYPE_CHECKING:
@@ -31,13 +41,16 @@ def create_default_dis_func(
     overrides: dict[str, AttributeOverride]
     | Literal["from_converter"] = "from_converter",
 ) -> Callable[[Mapping[Any, Any]], type[Any] | None]:
-    """Given attrs classes, generate a disambiguation function.
+    """Given attrs classes or dataclasses, generate a disambiguation function.
 
     The function is based on unique fields without defaults or unique values.
 
     :param use_literals: Whether to try using fields annotated as literals for
         disambiguation.
     :param overrides: Attribute overrides to apply.
+
+    .. versionchanged:: 24.1.0
+        Dataclasses are now supported.
     """
     if len(classes) < 2:
         raise ValueError("At least two classes required.")
@@ -55,7 +68,11 @@ def create_default_dis_func(
         # (... TODO: a single fallback is OK)
         #  - it must always be enumerated
         cls_candidates = [
-            {at.name for at in fields(get_origin(cl) or cl) if is_literal(at.type)}
+            {
+                at.name
+                for at in adapted_fields(get_origin(cl) or cl)
+                if is_literal(at.type)
+            }
             for cl in classes
         ]
 
@@ -128,10 +145,10 @@ def dis_func(data: Mapping[Any, Any]) -> type | None:
         uniq = cl_reqs - other_reqs
 
         # We want a unique attribute with no default.
-        cl_fields = fields(get_origin(cl) or cl)
+        cl_fields = fields_dict(get_origin(cl) or cl)
         for maybe_renamed_attr_name in uniq:
             orig_name = back_map[maybe_renamed_attr_name]
-            if getattr(cl_fields, orig_name).default is NOTHING:
+            if cl_fields[orig_name].default in (NOTHING, MISSING):
                 break
         else:
             if fallback is None:
@@ -173,13 +190,13 @@ def _overriden_name(at: Attribute, override: AttributeOverride | None) -> str:
 
 
 def _usable_attribute_names(
-    cl: type[AttrsInstance], overrides: dict[str, AttributeOverride]
+    cl: type[Any], overrides: dict[str, AttributeOverride]
 ) -> tuple[set[str], dict[str, str]]:
     """Return renamed fields and a mapping to original field names."""
     res = set()
     mapping = {}
 
-    for at in fields(get_origin(cl) or cl):
+    for at in adapted_fields(get_origin(cl) or cl):
         res.add(n := _overriden_name(at, overrides.get(at.name)))
         mapping[n] = at.name
 

tests/test_disambiguators.py

@@ -1,4 +1,5 @@
 """Tests for auto-disambiguators."""
+from dataclasses import dataclass
 from functools import partial
 from typing import Literal, Union
 
@@ -7,11 +8,7 @@
 from hypothesis import HealthCheck, assume, given, settings
 
 from cattrs import Converter
-from cattrs.disambiguators import (
-    create_default_dis_func,
-    create_uniq_field_dis_func,
-    is_supported_union,
-)
+from cattrs.disambiguators import create_default_dis_func, is_supported_union
 from cattrs.gen import make_dict_structure_fn, override
 
 from .untyped import simple_classes
@@ -27,7 +24,7 @@ class A:
 
     with pytest.raises(ValueError):
         # Can't generate for only one class.
-        create_uniq_field_dis_func(c, A)
+        create_default_dis_func(c, A)
 
     with pytest.raises(ValueError):
         create_default_dis_func(c, A)
@@ -38,7 +35,7 @@ class B:
 
     with pytest.raises(TypeError):
         # No fields on either class.
-        create_uniq_field_dis_func(c, A, B)
+        create_default_dis_func(c, A, B)
 
     @define
     class C:
@@ -50,7 +47,7 @@ class D:
 
     with pytest.raises(TypeError):
         # No unique fields on either class.
-        create_uniq_field_dis_func(c, C, D)
+        create_default_dis_func(c, C, D)
 
     with pytest.raises(TypeError):
         # No discriminator candidates
@@ -66,7 +63,7 @@ class F:
 
     with pytest.raises(TypeError):
         # no usable non-default attributes
-        create_uniq_field_dis_func(c, E, F)
+        create_default_dis_func(c, E, F)
 
     @define
     class G:
@@ -93,7 +90,7 @@ def test_fallback(cl_and_vals):
     class A:
         pass
 
-    fn = create_uniq_field_dis_func(c, A, cl)
+    fn = create_default_dis_func(c, A, cl)
 
     assert fn({}) is A
     assert fn(asdict(cl(*vals, **kwargs))) is cl
@@ -124,7 +121,7 @@ def test_disambiguation(cl_and_vals_a, cl_and_vals_b):
     for attr_name in req_b - req_a:
         assume(getattr(fields(cl_b), attr_name).default is NOTHING)
 
-    fn = create_uniq_field_dis_func(c, cl_a, cl_b)
+    fn = create_default_dis_func(c, cl_a, cl_b)
 
     assert fn(asdict(cl_a(*vals_a, **kwargs_a))) is cl_a
 
@@ -271,3 +268,33 @@ class B:
 
     assert converter.structure({"a": 1}, Union[A, B]) == A(1)
     assert converter.structure({"b": 1}, Union[A, B]) == B(1)
+
+
+def test_dataclasses(converter):
+    """The default strategy works for dataclasses too."""
+
+    @define
+    class A:
+        a: int
+
+    @dataclass
+    class B:
+        b: int
+
+    assert converter.structure({"a": 1}, Union[A, B]) == A(1)
+    assert converter.structure({"b": 1}, Union[A, B]) == B(1)
+
+
+def test_dataclasses_literals(converter):
+    """The default strategy works for dataclasses too."""
+
+    @define
+    class A:
+        a: Literal["a"] = "a"
+
+    @dataclass
+    class B:
+        b: Literal["b"]
+
+    assert converter.structure({"a": "a"}, Union[A, B]) == A()
+    assert converter.structure({"b": "b"}, Union[A, B]) == B("b")