🐛 Fix alias support for Pydantic v2

sqlmodel/main.py

@@ -218,6 +218,8 @@ def Field(
     *,
     default_factory: Optional[NoArgAnyCallable] = None,
     alias: Optional[str] = None,
+    validation_alias: Optional[str] = None,
+    serialization_alias: Optional[str] = None,
     title: Optional[str] = None,
     description: Optional[str] = None,
     exclude: Union[
@@ -263,6 +265,8 @@ def Field(
     *,
     default_factory: Optional[NoArgAnyCallable] = None,
     alias: Optional[str] = None,
+    validation_alias: Optional[str] = None,
+    serialization_alias: Optional[str] = None,
     title: Optional[str] = None,
     description: Optional[str] = None,
     exclude: Union[
@@ -317,6 +321,8 @@ def Field(
     *,
     default_factory: Optional[NoArgAnyCallable] = None,
     alias: Optional[str] = None,
+    validation_alias: Optional[str] = None,
+    serialization_alias: Optional[str] = None,
     title: Optional[str] = None,
     description: Optional[str] = None,
     exclude: Union[
@@ -352,6 +358,8 @@ def Field(
     *,
     default_factory: Optional[NoArgAnyCallable] = None,
     alias: Optional[str] = None,
+    validation_alias: Optional[str] = None,
+    serialization_alias: Optional[str] = None,
     title: Optional[str] = None,
     description: Optional[str] = None,
     exclude: Union[
@@ -390,43 +398,63 @@ def Field(
     schema_extra: Optional[Dict[str, Any]] = None,
 ) -> Any:
     current_schema_extra = schema_extra or {}
+    # Extract possible alias settings from schema_extra so we can control precedence
+    schema_validation_alias = current_schema_extra.pop("validation_alias", None)
+    schema_serialization_alias = current_schema_extra.pop("serialization_alias", None)
+    field_info_kwargs = {
+        "alias": alias,
+        "title": title,
+        "description": description,
+        "exclude": exclude,
+        "include": include,
+        "const": const,
+        "gt": gt,
+        "ge": ge,
+        "lt": lt,
+        "le": le,
+        "multiple_of": multiple_of,
+        "max_digits": max_digits,
+        "decimal_places": decimal_places,
+        "min_items": min_items,
+        "max_items": max_items,
+        "unique_items": unique_items,
+        "min_length": min_length,
+        "max_length": max_length,
+        "allow_mutation": allow_mutation,
+        "regex": regex,
+        "discriminator": discriminator,
+        "repr": repr,
+        "primary_key": primary_key,
+        "foreign_key": foreign_key,
+        "ondelete": ondelete,
+        "unique": unique,
+        "nullable": nullable,
+        "index": index,
+        "sa_type": sa_type,
+        "sa_column": sa_column,
+        "sa_column_args": sa_column_args,
+        "sa_column_kwargs": sa_column_kwargs,
+        **current_schema_extra,
+    }
+    if IS_PYDANTIC_V2:
+        # explicit params > schema_extra > alias propagation
+        field_info_kwargs["validation_alias"] = (
+            validation_alias or schema_validation_alias or alias
+        )
+        field_info_kwargs["serialization_alias"] = (
+            serialization_alias or schema_serialization_alias or alias
+        )
+    else:
+        if validation_alias or schema_validation_alias is not None:
+            raise RuntimeError("validation_alias is not supported in Pydantic v1")
+        if serialization_alias or schema_serialization_alias is not None:
+            raise RuntimeError("serialization_alias is not supported in Pydantic v1")
     field_info = FieldInfo(
         default,
         default_factory=default_factory,
-        alias=alias,
-        title=title,
-        description=description,
-        exclude=exclude,
-        include=include,
-        const=const,
-        gt=gt,
-        ge=ge,
-        lt=lt,
-        le=le,
-        multiple_of=multiple_of,
-        max_digits=max_digits,
-        decimal_places=decimal_places,
-        min_items=min_items,
-        max_items=max_items,
-        unique_items=unique_items,
-        min_length=min_length,
-        max_length=max_length,
-        allow_mutation=allow_mutation,
-        regex=regex,
-        discriminator=discriminator,
-        repr=repr,
-        primary_key=primary_key,
-        foreign_key=foreign_key,
-        ondelete=ondelete,
-        unique=unique,
-        nullable=nullable,
-        index=index,
-        sa_type=sa_type,
-        sa_column=sa_column,
-        sa_column_args=sa_column_args,
-        sa_column_kwargs=sa_column_kwargs,
-        **current_schema_extra,
+        **field_info_kwargs,
     )
+
     post_init_field_info(field_info)
     return field_info
 

tests/test_aliases.py

@@ -0,0 +1,257 @@
+from typing import Type, Union
+
+import pytest
+from pydantic import BaseModel, ValidationError
+from pydantic import Field as PField
+from sqlmodel import Field, SQLModel
+from sqlmodel._compat import IS_PYDANTIC_V2
+
+from tests.conftest import needs_pydanticv1, needs_pydanticv2
+
+"""
+Alias tests for SQLModel and Pydantic compatibility
+"""
+
+
+class PydanticUser(BaseModel):
+    full_name: str = PField(alias="fullName")
+
+
+class SQLModelUser(SQLModel):
+    full_name: str = Field(alias="fullName")
+
+
+# Models with config (validate_by_name=True)
+if IS_PYDANTIC_V2:
+
+    class PydanticUserWithConfig(PydanticUser):
+        model_config = {"validate_by_name": True}
+
+    class SQLModelUserWithConfig(SQLModelUser):
+        model_config = {"validate_by_name": True}
+
+else:
+
+    class PydanticUserWithConfig(PydanticUser):
+        class Config:
+            allow_population_by_field_name = True
+
+    class SQLModelUserWithConfig(SQLModelUser):
+        class Config:
+            allow_population_by_field_name = True
+
+
+@pytest.mark.parametrize("model", [PydanticUser, SQLModelUser])
+def test_create_with_field_name(model: Union[Type[PydanticUser], Type[SQLModelUser]]):
+    with pytest.raises(ValidationError):
+        model(full_name="Alice")
+
+
+@pytest.mark.parametrize("model", [PydanticUserWithConfig, SQLModelUserWithConfig])
+def test_create_with_field_name_with_config(
+    model: Union[Type[PydanticUserWithConfig], Type[SQLModelUserWithConfig]],
+):
+    user = model(full_name="Alice")
+    assert user.full_name == "Alice"
+
+
+@pytest.mark.parametrize(
+    "model",
+    [PydanticUser, SQLModelUser, PydanticUserWithConfig, SQLModelUserWithConfig],
+)
+def test_create_with_alias(
+    model: Union[
+        Type[PydanticUser],
+        Type[SQLModelUser],
+        Type[PydanticUserWithConfig],
+        Type[SQLModelUserWithConfig],
+    ],
+):
+    user = model(fullName="Bob")  # using alias
+    assert user.full_name == "Bob"
+
+
+@pytest.mark.parametrize("model", [PydanticUserWithConfig, SQLModelUserWithConfig])
+def test_create_with_both_prefers_alias(
+    model: Union[Type[PydanticUserWithConfig], Type[SQLModelUserWithConfig]],
+):
+    user = model(full_name="IGNORED", fullName="Charlie")
+    assert user.full_name == "Charlie"  # alias should take precedence
+
+
+@pytest.mark.parametrize("model", [PydanticUser, SQLModelUser])
+def test_dict_default_uses_field_names(
+    model: Union[Type[PydanticUser], Type[SQLModelUser]],
+):
+    user = model(fullName="Dana")
+    if IS_PYDANTIC_V2 or isinstance(user, SQLModel):
+        data = user.model_dump()
+    else:
+        data = user.dict()
+    assert "full_name" in data
+    assert "fullName" not in data
+    assert data["full_name"] == "Dana"
+
+
+@pytest.mark.parametrize("model", [PydanticUser, SQLModelUser])
+def test_dict_by_alias_uses_aliases(
+    model: Union[Type[PydanticUser], Type[SQLModelUser]],
+):
+    user = model(fullName="Dana")
+    if IS_PYDANTIC_V2 or isinstance(user, SQLModel):
+        data = user.model_dump(by_alias=True)
+    else:
+        data = user.dict(by_alias=True)
+    assert "fullName" in data
+    assert "full_name" not in data
+    assert data["fullName"] == "Dana"
+
+
+@pytest.mark.parametrize("model", [PydanticUser, SQLModelUser])
+def test_json_by_alias(
+    model: Union[Type[PydanticUser], Type[SQLModelUser]],
+):
+    user = model(fullName="Frank")
+    if IS_PYDANTIC_V2:
+        json_data = user.model_dump_json(by_alias=True)
+    else:
+        json_data = user.json(by_alias=True)
+    assert ('"fullName":"Frank"' in json_data) or ('"fullName": "Frank"' in json_data)
+    assert "full_name" not in json_data
+
+
+if IS_PYDANTIC_V2:
+
+    class PydanticUserV2(BaseModel):
+        first_name: str = PField(
+            validation_alias="firstName", serialization_alias="f_name"
+        )
+
+    class SQLModelUserV2(SQLModel):
+        first_name: str = Field(
+            validation_alias="firstName", serialization_alias="f_name"
+        )
+else:
+    # Dummy classes for Pydantic v1 to prevent import errors
+    PydanticUserV2 = None
+    SQLModelUserV2 = None
+
+
+@needs_pydanticv1
+def test_validation_alias_runtimeerror_pydantic_v1():
+    with pytest.raises(
+        RuntimeError, match="validation_alias is not supported in Pydantic v1"
+    ):
+        Field(validation_alias="foo")
+
+
+@needs_pydanticv1
+def test_serialization_alias_runtimeerror_pydantic_v1():
+    with pytest.raises(
+        RuntimeError, match="serialization_alias is not supported in Pydantic v1"
+    ):
+        Field(serialization_alias="bar")
+
+
+@needs_pydanticv2
+@pytest.mark.parametrize("model", [PydanticUserV2, SQLModelUserV2])
+def test_create_with_validation_alias(
+    model: Union[Type[PydanticUserV2], Type[SQLModelUserV2]],
+):
+    user = model(firstName="John")
+    assert user.first_name == "John"
+
+
+@needs_pydanticv2
+@pytest.mark.parametrize("model", [PydanticUserV2, SQLModelUserV2])
+def test_serialize_with_serialization_alias(
+    model: Union[Type[PydanticUserV2], Type[SQLModelUserV2]],
+):
+    user = model(firstName="Jane")
+    data = user.model_dump(by_alias=True)
+    assert "f_name" in data
+    assert "firstName" not in data
+    assert "first_name" not in data
+    assert data["f_name"] == "Jane"
+
+
+@needs_pydanticv2
+def test_schema_extra_validation_alias_sqlmodel_v2():
+    class M(SQLModel):
+        f: str = Field(schema_extra={"validation_alias": "f_alias"})
+
+    m = M.model_validate({"f_alias": "asd"})
+    assert m.f == "asd"
+
+
+@needs_pydanticv2
+def test_schema_extra_serialization_alias_sqlmodel_v2():
+    class M(SQLModel):
+        f: str = Field(schema_extra={"serialization_alias": "f_out"})
+
+    m = M(f="x")
+    data = m.model_dump(by_alias=True)
+    assert "f_out" in data
+    assert "f" not in data
+    assert data["f_out"] == "x"
+
+
+@needs_pydanticv1
+def test_schema_extra_validation_alias_runtimeerror_pydantic_v1():
+    with pytest.raises(
+        RuntimeError, match="validation_alias is not supported in Pydantic v1"
+    ):
+        Field(schema_extra={"validation_alias": "x"})
+
+
+@needs_pydanticv1
+def test_schema_extra_serialization_alias_runtimeerror_pydantic_v1():
+    with pytest.raises(
+        RuntimeError, match="serialization_alias is not supported in Pydantic v1"
+    ):
+        Field(schema_extra={"serialization_alias": "y"})
+
+
+@needs_pydanticv2
+def test_alias_plus_validation_alias_prefers_validation_alias_sqlmodel_v2():
+    class M(SQLModel):
+        first_name: str = Field(alias="fullName", validation_alias="v_name")
+
+    m = M.model_validate({"fullName": "A", "v_name": "B"})
+    assert m.first_name == "B"
+
+
+@needs_pydanticv2
+def test_alias_plus_serialization_alias_prefers_serialization_alias_sqlmodel_v2():
+    class M(SQLModel):
+        first_name: str = Field(alias="fullName", serialization_alias="f_name")
+
+    m = M(fullName="Z")
+    data = m.model_dump(by_alias=True)
+    assert "f_name" in data
+    assert "fullName" not in data
+    assert data["f_name"] == "Z"
+
+
+@needs_pydanticv2
+def test_alias_generator_works_sqlmodel_v2():
+    class M(SQLModel):
+        model_config = {"alias_generator": lambda s: "gen_" + s}
+        f: str = Field()
+
+    m = M.model_validate({"gen_f": "ok"})
+    assert m.f == "ok"
+    data = m.model_dump(by_alias=True)
+    assert "gen_f" in data and data["gen_f"] == "ok"
+
+
+@needs_pydanticv2
+def test_alias_generator_with_explicit_alias_prefers_field_alias_sqlmodel_v2():
+    class M(SQLModel):
+        model_config = {"alias_generator": lambda s: "gen_" + s}
+        f: str = Field(alias="custom")
+
+    m = M.model_validate({"custom": "ok"})
+    assert m.f == "ok"
+    data = m.model_dump(by_alias=True)
+    assert "custom" in data and "gen_f" not in data