put back spiff step details for today

spiffworkflow-backend/src/spiffworkflow_backend/services/process_instance_processor.py

@@ -102,6 +102,9 @@ from spiffworkflow_backend.services.user_service import UserService
 from spiffworkflow_backend.services.workflow_execution_service import (
     execution_strategy_named,
 )
+from spiffworkflow_backend.services.workflow_execution_service import (
+    StepDetailLoggingDelegate,
+)
 from spiffworkflow_backend.services.workflow_execution_service import (
     TaskModelSavingDelegate,
 )
@@ -1613,20 +1616,19 @@ class ProcessInstanceProcessor:
         save: bool = False,
         execution_strategy_name: Optional[str] = None,
     ) -> None:
-        """Do_engine_steps."""
-        # NOTE: Commenting out to test how this changes performance:
-        # def spiff_step_details_mapping_builder(
-        #     task: SpiffTask, start: float, end: float
-        # ) -> dict:
-        #     self._script_engine.environment.revise_state_with_task_data(task)
-        #     return self.spiff_step_details_mapping(task, start, end)
-        #
-        # step_delegate = StepDetailLoggingDelegate(
-        #     self.increment_spiff_step, spiff_step_details_mapping_builder
-        # )
+        # NOTE: To avoid saving spiff step details, just comment out this function and the step_delegate and
+        # set the TaskModelSavingDelegate's secondary_engine_step_delegate to None.
+        def spiff_step_details_mapping_builder(
+            task: SpiffTask, start: float, end: float
+        ) -> dict:
+            self._script_engine.environment.revise_state_with_task_data(task)
+            return self.spiff_step_details_mapping(task, start, end)
+
+        step_delegate = StepDetailLoggingDelegate(
+            self.increment_spiff_step, spiff_step_details_mapping_builder
+        )
         task_model_delegate = TaskModelSavingDelegate(
-            # secondary_engine_step_delegate=step_delegate,
-            secondary_engine_step_delegate=None,
+            secondary_engine_step_delegate=step_delegate,
             serializer=self._serializer,
             process_instance=self.process_instance_model,
         )