import ast
from training.rewards import compute_proposer_reward
from server.plausibility import compute_ast_distance

def evaluate_navidadkhah_plausibility():
    """
    Offline evaluation of generated bugs against the navidadkhah 25k bug dataset.
    This checks if our Proposer's generated bugs have realistic AST distances
    similar to actual human-made bugs in the dataset.
    """
    # Pseudo-code for evaluation script
    print("Evaluating plausibility against navidadkhah dataset...")
    
    dummy_human_bug = "def add(a, b): return a - b"
    dummy_clean = "def add(a, b): return a + b"
    
    dist = compute_ast_distance(dummy_clean, dummy_human_bug)
    print(f"Average human bug AST distance score: {dist}")
    print("Compare this with our trained Proposer's average score to validate plausibility.")

if __name__ == "__main__":
    evaluate_navidadkhah_plausibility()