Merge branch 'BeanieODM:main' into add-python-3.13-testing

no deprecation warning

beanie/odm/fields.py

@@ -54,7 +54,6 @@
     from pydantic_core.core_schema import (
         ValidationInfo,
         simple_ser_schema,
-        str_schema,
     )
 else:
     from pydantic.fields import ModelField  # type: ignore
@@ -155,7 +154,16 @@ def __get_pydantic_core_schema__(
         ) -> CoreSchema:  # type: ignore
             return core_schema.json_or_python_schema(
                 python_schema=plain_validator(cls.validate),
-                json_schema=str_schema(),
+                json_schema=plain_validator(
+                    cls.validate,
+                    metadata={
+                        "pydantic_js_input_core_schema": core_schema.str_schema(
+                            pattern="^[0-9a-f]{24}$",
+                            min_length=24,
+                            max_length=24,
+                        )
+                    },
+                ),
                 serialization=core_schema.plain_serializer_function_ser_schema(
                     lambda instance: str(instance), when_used="json"
                 ),

pyproject.toml

@@ -7,7 +7,7 @@ name = "beanie"
 version = "1.27.0"
 description = "Asynchronous Python ODM for MongoDB"
 readme = "README.md"
-requires-python = ">=3.8,<4.0"
+requires-python = ">=3.,<4.0"
 license = { file="LICENSE" }
 authors = [
     {name = "Roman Right", email = "[email protected]"}
@@ -84,7 +84,7 @@ testpaths = [
 ]
 filterwarnings = [
     "error",
-    "ignore::DeprecationWarning",
+
     "ignore::UserWarning",
 ]
 asyncio_mode = "auto"

tests/odm/test_id.py

@@ -1,5 +1,10 @@
 from uuid import UUID
 
+import pytest
+from pydantic import BaseModel
+
+from beanie import PydanticObjectId
+from beanie.odm.utils.pydantic import IS_PYDANTIC_V2
 from tests.odm.models import DocumentWithCustomIdInt, DocumentWithCustomIdUUID
 
 
@@ -15,3 +20,30 @@ async def test_integer_id():
     await doc.insert()
     new_doc = await DocumentWithCustomIdInt.get(doc.id)
     assert isinstance(new_doc.id, int)
+
+
+if IS_PYDANTIC_V2:
+
+    class A(BaseModel):
+        id: PydanticObjectId
+
+    async def test_pydantic_object_id_validation_json():
+        deserialized = A.model_validate_json(
+            '{"id": "5eb7cf5a86d9755df3a6c593"}'
+        )
+        assert isinstance(deserialized.id, PydanticObjectId)
+        assert str(deserialized.id) == "5eb7cf5a86d9755df3a6c593"
+        assert deserialized.id == PydanticObjectId("5eb7cf5a86d9755df3a6c593")
+
+    @pytest.mark.parametrize(
+        "data",
+        [
+            "5eb7cf5a86d9755df3a6c593",
+            PydanticObjectId("5eb7cf5a86d9755df3a6c593"),
+        ],
+    )
+    async def test_pydantic_object_id_serialization(data):
+        deserialized = A(**{"id": data})
+        assert isinstance(deserialized.id, PydanticObjectId)
+        assert str(deserialized.id) == "5eb7cf5a86d9755df3a6c593"
+        assert deserialized.id == PydanticObjectId("5eb7cf5a86d9755df3a6c593")