Discussion: Potential missing error handling in agent_eval (eval_main.py)

[huangjf11]

Question

I noticed that in the agent_eval function in eval_main.py, when no matching model_dict is found, the code doesn't seem to handle this case. I'm wondering if this is intentional or if we should add error handling here?

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Location

• File: eval_main.py
• Function: agent_eval

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Current Code

for index in range(len(possible_answer_item_)):
    possible_keys = set(possible_answer_item_[index].keys())
    matched_dict = None
    
    for model_dict in model_result_item:
        model_keys = set(model_dict.keys())
        if possible_keys == model_keys:
            matched_dict = model_dict
            break
    
    if matched_dict:
        checker_result = agent_checker(
            matched_dict,
            possible_answer_item_[index],
        )
        
        if checker_result["valid"] == False:
            result_tmp["valid"] = False
            result_tmp["error"].append(checker_result["error"])
            result_tmp["error_type"] = checker_result["error_type"]
            is_valid = False

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What should happen when matched_dict is None?

Potential issue: If ⁠checker_result⁠ was set in a previous iteration, the subsequent code might accidentally use the old ⁠checker_result⁠ from the previous loop iteration when ⁠matched_dict⁠ is ⁠None⁠ in the current iteration.