Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

fix: Fix sub application form unable to recall #2146

Merged
merged 1 commit into from
Feb 7, 2025

Conversation

shaohuzhang1
Copy link
Contributor

fix: Fix sub application form unable to recall

Copy link

f2c-ci-robot bot commented Feb 7, 2025

Adding the "do-not-merge/release-note-label-needed" label because no release-note block was detected, please follow our release note process to remove it.

Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository.

Copy link

f2c-ci-robot bot commented Feb 7, 2025

[APPROVALNOTIFIER] This PR is NOT APPROVED

This pull-request has been approved by:

The full list of commands accepted by this bot can be found here.

Needs approval from an approver in each of these files:

Approvers can indicate their approval by writing /approve in a comment
Approvers can cancel approval by writing /approve cancel in a comment

@@ -499,7 +500,7 @@ def hand_event_node_result(self, current_node, node_result_future):
current_node.id,
current_node.up_node_id_list,
'', False, 0, 0, {'node_is_end': True,
'runtime_node_id': real_node_id,
'runtime_node_id': runtime_node_id,
'node_type': current_node.type,
'view_type': view_type,
'child_node': child_node,
Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

The provided code seems to be working correctly and does not contain significant irregularities or optimizations needed at this time. However, if you have specific concerns about performance, scalability, or maintainability related to handling events in hand_event_node_result, here are a few points to consider:

  1. Data Explosion: If content contains a large amount of data, it might lead to memory usage increasing rapidly. Consider optimizing how the content is being handled.

  2. Asynchronous Handling: Since the method is asynchronous (future), ensure that any heavy work associated with handling the result does not block other operations. This can include checking if there are any dependencies on previous results before proceeding.

  3. Error Handling: Add error handling around critical sections where exceptions could occur, such as when accessing the current_node. Using try-except blocks will help manage crashes gracefully.

Here's an example of how you might add more robustness:

def hand_event_node_result(self, current_node, node_result_future):
    runtime_node_id = current_node.runtime_node_id

    try:
        real_node_id = current_node.runtime_node_id
        child_node = {}
        view_type = current_node.view_type
        
        # Ensure context remains synchronized during processing
        with self.context_lock:
            content_data = handle_large_content(content)  # Placeholder function
            child_results = process_children(current_node.up_node_id_list)
            
            response_payload = {
                'node_type': current_node.type,
                'runtime_node_id': runtime_node_id,
                'view_type': view_type,
                'child_node': child_node,
                'node_is_end': node_is_end,
                'up_node_ids': [result['upNodeId'] for result in grand_child_results]
            }
        
        # Send the final payload asynchronously
        future.add_done_callback(lambda f: send_response(f.result()))
    
    except Exception as e:
        print(f"An error occurred while handling event: {e}")

In this example, we've added basic error handling using try-except and ensured thread safety with a lock (context_lock) to prevent concurrent modifications to shared resources like self.context. The handle_large_content and process_children functions should be tailored based on your actual use case, allowing you to optimize them further for better efficiency.

@shaohuzhang1 shaohuzhang1 merged commit 5e75b25 into main Feb 7, 2025
4 checks passed
@shaohuzhang1 shaohuzhang1 deleted the pr@main@fix_sub_application branch February 7, 2025 03:50
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant