diff --git a/api/core/workflow/nodes/iteration/iteration_node.py b/api/core/workflow/nodes/iteration/iteration_node.py index c447f433a..8b566c83c 100644 --- a/api/core/workflow/nodes/iteration/iteration_node.py +++ b/api/core/workflow/nodes/iteration/iteration_node.py @@ -521,18 +521,52 @@ class IterationNode(BaseNode[IterationNodeData]): ) return elif self.node_data.error_handle_mode == ErrorHandleMode.TERMINATED: - yield IterationRunFailedEvent( - iteration_id=self.id, - iteration_node_id=self.node_id, - iteration_node_type=self.node_type, - iteration_node_data=self.node_data, - start_at=start_at, - inputs=inputs, - outputs={"output": None}, - steps=len(iterator_list_value), - metadata={"total_tokens": graph_engine.graph_runtime_state.total_tokens}, - error=event.error, + yield NodeInIterationFailedEvent( + **metadata_event.model_dump(), ) + outputs[current_index] = None + + # clean nodes resources + for node_id in iteration_graph.node_ids: + variable_pool.remove([node_id]) + + # iteration run failed + if self.node_data.is_parallel: + yield IterationRunFailedEvent( + iteration_id=self.id, + iteration_node_id=self.node_id, + iteration_node_type=self.node_type, + iteration_node_data=self.node_data, + parallel_mode_run_id=parallel_mode_run_id, + start_at=start_at, + inputs=inputs, + outputs={"output": outputs}, + steps=len(iterator_list_value), + metadata={"total_tokens": graph_engine.graph_runtime_state.total_tokens}, + error=event.error, + ) + else: + yield IterationRunFailedEvent( + iteration_id=self.id, + iteration_node_id=self.node_id, + iteration_node_type=self.node_type, + iteration_node_data=self.node_data, + start_at=start_at, + inputs=inputs, + outputs={"output": outputs}, + steps=len(iterator_list_value), + metadata={"total_tokens": graph_engine.graph_runtime_state.total_tokens}, + error=event.error, + ) + + # stop the iterator + yield RunCompletedEvent( + run_result=NodeRunResult( + status=WorkflowNodeExecutionStatus.FAILED, + error=event.error, + ) + ) + return yield metadata_event current_output_segment = variable_pool.get(self.node_data.output_selector)