import cv2
import json
import numpy as np
from typing import Union

def draw_boxes_and_center_info(image:Union[str, np.ndarray], json_data:dict):
    """
    将JSON数据中的内外框和居中信息绘制到图片上。

    Args:
        image (str): 原始图片文件的路径。
        json_data (dict): 包含内外框检测结果和居中计算结果的字典。
    """
    try:
        if isinstance(image, str):
            img = cv2.imread(image)
        else:
            img = image
        if img is None:
            raise FileNotFoundError(f"无法读取图片: {image}")

        h, w, _ = img.shape  # 获取图像的宽度和高度

        # --------------------- 绘制内框 (inner_box) ---------------------
        if "inner_box" in json_data["box_result"] and json_data["box_result"]["inner_box"]["num"] > 0:
            for shape_info in json_data["box_result"]["inner_box"]["shapes"]:
                points = np.array(shape_info["points"], dtype=np.int32)
                # 绘制多边形
                cv2.polylines(img, [points], isClosed=True, color=(0, 230, 130), thickness=2)  # 绿色
                # 绘制外接矩形
                rect_box = np.array(shape_info['rect_box'], dtype=np.int32)
                cv2.drawContours(image, [rect_box], 0, (0, 180, 120), thickness=2)

                # 标记内框的标签
                cv2.putText(img, "Inner Box", tuple(points[0]), cv2.FONT_HERSHEY_SIMPLEX, 3, (0, 255, 0), 5,
                            cv2.LINE_AA)


        # --------------------- 绘制外框 (outer_box) ---------------------
        if "outer_box" in json_data["box_result"] and json_data["box_result"]["outer_box"]["num"] > 0:
            for shape_info in json_data["box_result"]["outer_box"]["shapes"]:
                points = np.array(shape_info["points"], dtype=np.int32)
                # 绘制多边形
                cv2.polylines(img, [points], isClosed=True, color=(120, 130, 250), thickness=2)

                # 绘制外接矩形
                rect_box = np.array(shape_info['rect_box'], dtype=np.int32)
                cv2.drawContours(image, [rect_box], 0, (100, 120, 220), thickness=2)

                # 标记外框的标签
                cv2.putText(img, "Outer Box", tuple(points[0] + [0, -50]), cv2.FONT_HERSHEY_SIMPLEX, 3, (0, 0, 255), 5,
                            cv2.LINE_AA)
        # --------------------- 显示结果 ---------------------

        # 如果需要显示图片
        # cv2.imshow("Detection Result", img)
        # cv2.waitKey(0)
        # cv2.destroyAllWindows()
        return img


    except FileNotFoundError as e:
        print(e)
    except Exception as e:
        print(f"处理图片时发生错误: {e}")


# if __name__ == '__main__':
#     image_file = r"C:\Code\ML\Project\CheckCardBoxAndDefectServer\_temp_work\pokemon_front_corner_no_reflect_defect-corner_result.jpg"  # 请替换为你的实际图片文件名
#
#     # 从JSON文件中加载数据
#     json_file_path = r"C:\Code\ML\Project\CheckCardBoxAndDefectServer\_temp_work\pokemon_front_card_center-center_result.json"
#     with open(json_file_path, 'r') as f:
#         data = json.load(f)
#
#     # 调用函数绘制
#     img = draw_boxes_and_center_info(image_file, data)
#     cv2.imwrite("test01.jpg", img)