import dataclasses
import cv2
import numpy as np
import json
from app.utils.defect_inference.AnalyzeCenter import analyze_centering_rotated, draw_rotated_bounding_boxes

if __name__ == "__main__":
    img_path = r"C:\Code\ML\Project\CheckCardBoxAndDefectServer\temp\250805_pokemon_0001.jpg"
    inner_file_path = r"C:\Code\ML\Project\CheckCardBoxAndDefectServer\temp\inner\250805_pokemon_0001.json"
    outer_file_path = r"C:\Code\ML\Project\CheckCardBoxAndDefectServer\temp\outer\250805_pokemon_0001.json"

    # center_result = analyze_centering_rotated(inner_file_path, outer_file_path)
    # draw_rotated_bounding_boxes(img_path, inner_file_path, outer_file_path)

    with open(inner_file_path, "r", encoding="utf-8") as f:
        inner_data = json.load(f)
    with open(outer_file_path, "r", encoding="utf-8") as f:
        outer_data = json.load(f)

    inner_points = inner_data['shapes'][0]['points']
    outer_points = outer_data['shapes'][0]['points']
    center_result = analyze_centering_rotated(inner_points, outer_points)

    data = {
        "img_id": 2,
        "img_url": "",
        "inference_result": {
            "center_inference": {
                "angel_diff": center_result[2],
                "center_left": center_result[0][0],
                "center_right": center_result[0][1],
                "center_top": center_result[1][0],
                "center_bottom": center_result[1][1]
            }
        }
    }
    data['inference_result']['inner_box'] = inner_data
    data['inference_result']['outer_box'] = outer_data
    print(data)