Skip to content

Conversation

@shaohuzhang1
Copy link
Contributor

fix: When extracting parameters, input parameters that are not strings result in the node being unable to execute

…s result in the node being unable to execute
@f2c-ci-robot
Copy link

f2c-ci-robot bot commented Oct 28, 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-sigs/prow repository.

@f2c-ci-robot
Copy link

f2c-ci-robot bot commented Oct 28, 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

input_variable = str(input_variable)
self.context['request'] = input_variable
if model_params_setting is None:
model_params_setting = get_default_model_params_setting(model_id)
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 has a few issues that need to be addressed:

  1. Type Casting Issue: The line input_variable = str(input_variable) casts the input parameter regardless of its original type. This can lead to unexpected behavior if the input is not a string, such as numbers or other data types.

    Suggestion: Consider using implicit conversion instead of explicit casting if possible, but avoid this if you want to ensure consistency with the variable's expected type before use. If necessary, introduce a more targeted approach based on your application requirements.

  2. Code Style Mismatch:

    • Line 86 contains an extra space after -. In Python, consecutive whitespace characters are considered a single space.
  3. Function Documentation: Ensure that all functions have appropriate docstrings (Python documentation). While the function doesn't require much in terms of explanation given its simplicity, it's a good practice to maintain clarity.

Here's the optimized version of the code without addressing the type-casting issue for now:

class MyClass:
    def __init__(self):
        self.context = {}

    def save_context(self, details, workflow_manage):
        self.context['request'] = details.get('request')

    def execute(self, input_variable, variable_list, model_params_setting, model_id, **kwargs) -> 'NodeResult':
        if model_params_setting is None:
            model_params_setting = get_default_model_params_setting(model_id)

Addressing the type-casting issue requires more context about how and where this method is used within your larger application to determine the most appropriate handling strategy.

@shaohuzhang1 shaohuzhang1 merged commit b679b17 into v2 Oct 28, 2025
4 of 6 checks passed
@shaohuzhang1 shaohuzhang1 deleted the pr@v2@fix_workflow branch October 28, 2025 07:18
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.

2 participants