Small fixes

qualibrate/orchestration/qualibration_orchestrator.py

@@ -8,6 +8,7 @@
     ExecutionHistoryItem,
 )
 from qualibrate.outcome import Outcome
+from qualibrate.parameters import RunnableParameters
 from qualibrate.qualibration_graph import QualibrationGraph
 from qualibrate.utils.naming import get_full_class_path
 
@@ -22,6 +23,7 @@ def __init__(
         self._graph: Optional[QualibrationGraph] = None
         self.parameters_class = create_model(
             "OrchestratorParameters",
+            __base__=RunnableParameters,
             **{  # type: ignore
                 name: (type(value), value) for name, value in parameters.items()
             },
@@ -45,7 +47,10 @@ def cleanup(self) -> None:
         self.final_outcomes = {}
 
     def serialize(self) -> Mapping[str, Any]:
-        return {"__class__": get_full_class_path(self.__class__)}
+        return {
+            "__class__": get_full_class_path(self.__class__),
+            "parameters": self.parameters_class.serialize(),
+        }
 
     def get_execution_history(self) -> ExecutionHistory:
         return ExecutionHistory(items=self._execution_history)

qualibrate/run_summary/base.py

@@ -1,7 +1,7 @@
 from datetime import datetime
-from typing import Dict, List, Optional, Sequence
+from typing import Any, Dict, List, Mapping, Optional, Sequence
 
-from pydantic import BaseModel, Field, computed_field
+from pydantic import BaseModel, Field, computed_field, field_serializer
 
 from qualibrate.outcome import Outcome
 from qualibrate.parameters import RunnableParameters
@@ -26,3 +26,9 @@ class BaseRunSummary(BaseModel):
     @computed_field
     def run_duration(self) -> float:
         return round((self.completed_at - self.created_at).total_seconds(), 3)
+
+    @field_serializer("parameters")
+    def serialize_parameters(
+        self, parameters: RunnableParameters
+    ) -> Mapping[str, Any]:
+        return parameters.model_dump(serialize_as_any=True)