docs(pydantic): update examples and simplify TypeIDField typing

Author: akhundMurad

docs/integrations/pydantic.md

@@ -61,7 +61,7 @@ from typeid.integrations.pydantic import TypeIDField
 class User(BaseModel):
     id: TypeIDField[Literal["user"]]
 
-tid = TypeID.from_str("user_01ke82dtesfn9bjcrzyzz54ya9")
+tid = TypeID.from_string("user_01ke82dtesfn9bjcrzyzz54ya9")
 u = User(id=tid)
 
 assert u.id == tid
@@ -104,7 +104,7 @@ class User(BaseModel):
     id: TypeIDField[Literal["user"]]
 
 u = User(id="user_01ke82dtesfn9bjcrzyzz54ya9")
-data = u.model_dump()
+data = u.model_dump(mode="json")
 
 assert data == {"id": "user_01ke82dtesfn9bjcrzyzz54ya9"}
 ```

typeid/integrations/pydantic/v2.py

@@ -1,5 +1,5 @@
 from dataclasses import dataclass
-from typing import Any, ClassVar, Generic, Literal, Optional, TypeVar, get_args, get_origin, overload
+from typing import Any, ClassVar, Generic, Literal, Optional, TypeVar, get_args, get_origin
 
 from pydantic_core import core_schema
 from pydantic.json_schema import JsonSchemaValue
@@ -109,19 +109,13 @@ class User(BaseModel):
     This returns a specialized *type* that Pydantic will validate into your core TypeID.
     """
 
-    @overload
-    def __class_getitem__(cls, prefix: str) -> type[TypeID]:
-        ...
-
-    @overload
-    def __class_getitem__(cls, prefix: tuple[str]) -> type[TypeID]:
-        ...
-
-    def __class_getitem__(cls, item: Any) -> type[TypeID]:
-        # Support:
-        # - TypeIDField["user"]
-        # - TypeIDField[Literal["user"]]
-        # - TypeIDField[("user",)]
+    def __class_getitem__(cls, item: str | tuple[str]) -> type[TypeID]:
+        """
+        Support:
+            - TypeIDField["user"]
+            - TypeIDField[Literal["user"]]
+            - TypeIDField[("user",)]
+        """
         if isinstance(item, tuple):
             if len(item) != 1:
                 raise TypeError("TypeIDField[...] expects a single prefix")