from metrics.base import SceneGraphMetric
from utils.prompts import build_attribute_precision_prompt
from utils.gpt import query_yes_no

class AttributePrecisionMetric(SceneGraphMetric):
    def __init__(self):
        super().__init__("attribute_precision")

    def evaluate(self, gt_data, pred_data, api_key):
        gt_map = {obj["label"]: [f'{a["name"]}: {a["value"]}' for a in obj["attributes"]] for obj in gt_data}
        results = []
        for obj in pred_data:
            obj_name = obj["object"]
            for attr in obj["attributes"]:
                gt_attrs = gt_map.get(obj_name, [])
                prompt = build_attribute_precision_prompt(obj_name, attr, gt_attrs)
                result = query_yes_no(prompt, api_key)
                results.append(result)
        return sum(results) / len(results) if results else 0.0