fix: When executing the knowledge base workflow, the loop node reported an error and the workflow was not terminated

[shaohuzhang1]

fix: When executing the knowledge base workflow, the loop node reported an error and the workflow was not terminated

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[shaohuzhang1]

The provided code seems generally correct for handling asynchronous execution. However, here are some minor improvements and points to consider:

1. Exception Handling: It's good that you've wrapped the exception handling around the list(result) call, but it might be redundant since Python already traps exceptions within the try-except block.

2. Status Check: The condition if current_node.status == 500: will only trigger if current_node has been assigned an attribute named status. You should ensure this assignment before using it. Additionally, returning None on error can sometimes mask underlying problems; consider logging such errors instead of immediately returning null.

3. Return Type Compatibility: Returning None from the method could pose compatibility issues with future integrations or data processing pipelines that expect a non-null value.

4. Code Readability: It looks clean and follows standard syntax, so readability could potentially benefit from slightly improving comments explaining each step (though they're present).

Here’s a revised version:

def hand_node_result(self, current_node, node_result_future):
    try:
        # Wait for the result asynchronously
        result = await node_result_future.result()

        if result is not None:
            # If result contains items, process them
            list(result)

        # Handle specific status codes separately
        if current_node.status in [500]:
            # Log or handle internal server errors more gracefully
            print(f"Error: Node status {current_node.status}")
            return

        # Return successful results
        return current_result
    except Exception as e:
        # Print detailed traceback for debugging purposes
        traceback.print_exc()

This approach maintains clarity while adding some additional logic related to status checks and error handling. Always review critical control flow and error handling to ensure resilience against unexpected conditions.