Add a failing test for Generic Serializing

Author: sjmonson

src/guidellm/benchmark/scheduler_registry.py

@@ -16,6 +16,6 @@ def scheduler_register_benchmark_objects():
     SchedulerMessagingPydanticRegistry.register("GenerationRequestTimings")(
         GenerationRequestTimings
     )
-    SchedulerMessagingPydanticRegistry.register("ScheduledRequestInfo")(
-        ScheduledRequestInfo
-    )
+    SchedulerMessagingPydanticRegistry.register(
+        "ScheduledRequestInfo[GenerationRequestTimings]"
+    )(ScheduledRequestInfo[GenerationRequestTimings])

tests/unit/utils/test_encoding.py

@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 import uuid
-from typing import Any, Generic
+from typing import Any, Generic, TypeVar
 
 import pytest
 from pydantic import BaseModel, Field
@@ -22,12 +22,21 @@ class SampleModel(BaseModel):
     value: int = Field(description="Value field for testing")
 
 
-class ComplexModel(BaseModel):
+class SampleModelSubclass(SampleModel):
+    """Subclass of SampleModel for testing."""
+
+    extra_field: str
+
+
+SampleModelT = TypeVar("SampleModelT", bound=SampleModel)
+
+
+class ComplexModel(BaseModel, Generic[SampleModelT]):
     """Complex Pydantic model for testing."""
 
     items: list[str] = Field(default_factory=list)
     metadata: dict[str, Any] = Field(default_factory=dict)
-    nested: SampleModel | None = Field(default=None)
+    nested: SampleModelT | None = Field(default=None)
 
 
 class TestMessageEncoding:
@@ -508,3 +517,23 @@ def test_dynamic_import_load_pydantic(self, monkeypatch):
         inst.pydantic_registry.clear()
         restored = inst.from_dict(dumped)
         assert restored == sample
+
+    @pytest.mark.sanity
+    @pytest.mark.parametrize(
+        "declared_type",
+        [
+            ComplexModel,
+            ComplexModel[SampleModelSubclass],
+        ],
+    )
+    def test_generic_model_handling(self, declared_type):
+        inst = Serializer("dict")
+        inst.register_pydantic(ComplexModel[SampleModelSubclass])
+        nested = declared_type(
+            items=["i1", "i2"],
+            metadata={"m": 1},
+            nested=SampleModelSubclass(name="nested", value=10, extra_field="extra"),
+        )
+        dumped = inst.to_dict(nested)
+        restored = inst.from_dict(dumped)
+        assert restored == nested