import json
from app.utils.defect_inference.ClassifyEdgeCorner import ClassifyEdgeCorner


def load_json_data(json_file):
    """辅助函数，从JSON文件加载点"""
    with open(json_file, 'r') as f:
        data = json.load(f)
    return data

# --- 全局配置 ---
# 像素分辨率 (来自你的问题描述)
PIXEL_RESOLUTION_UM = 24.54  # 单位: μm/pixel
# 角区的定义尺寸
CORNER_SIZE_MM = 3.0




if __name__ == '__main__':
    # --- 文件路径配置 ---
    DEFECT_JSON_PATH = r"..\_temp_work\pokemon_front_corner_no_reflect_defect-area_result.json"
    OUTER_BOX_JSON_PATH = '../temp/outer/250805_pokemon_0001.json'  # 包含外框坐标的文件
    OUTPUT_JSON_PATH = '23.json'

    # 加载数据
    defect_data = load_json_data(DEFECT_JSON_PATH)
    outer_box_data = load_json_data(OUTER_BOX_JSON_PATH)

    classifier = ClassifyEdgeCorner(PIXEL_RESOLUTION_UM, CORNER_SIZE_MM)
    classified_data = classifier.classify_defects_location(defect_data, outer_box_data)
    print(classified_data)

        # if classified_data:
        #     # 保存结果到新文件
        #     with open(OUTPUT_JSON_PATH, 'w', encoding='utf-8') as f:
        #         json.dump(classified_data, f, indent=2, ensure_ascii=False)
        #     print(f"\n成功！分类后的结果已保存到: {OUTPUT_JSON_PATH}")