#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Regenerate debug_clusters.png with the new split bubbles.json
"""

import json
import cv2
import numpy as np

def quad_bbox(quad):
    """Convert quad to bounding box"""
    xs = [p[0] for p in quad]
    ys = [p[1] for p in quad]
    return (min(xs), min(ys), max(xs), max(ys))

def save_debug_clusters_from_json(
    image_path="004.png",
    bubbles_path="bubbles.json",
    out_path="debug_clusters.png"
):
    img = cv2.imread(image_path)
    if img is None:
        print(f"❌ Cannot load image: {image_path}")
        return
    
    # Load bubbles.json
    with open(bubbles_path, "r", encoding="utf-8") as f:
        bubbles_data = json.load(f)
    
    # Draw all quad polygons in white (erasing original text)
    for bid_str, bubble_info in bubbles_data.items():
        for quad in bubble_info.get("quads", []):
            pts = np.array(quad, dtype=np.int32)
            cv2.fillPoly(img, [pts], (255, 255, 255))
            cv2.polylines(img, [pts], True, (180, 180, 180), 1)
    
    # Draw bounding boxes with labels
    for bid_str, bubble_info in bubbles_data.items():
        bid = int(bid_str)
        x = bubble_info["x"]
        y = bubble_info["y"]
        w = bubble_info["w"]
        h = bubble_info["h"]
        x2 = x + w
        y2 = y + h
        
        cv2.rectangle(img, (x, y), (x2, y2), (0, 220, 0), 2)
        cv2.putText(img, f"BOX#{bid}", (x + 2, max(15, y + 16)),
                    cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 220, 0), 2)
    
    cv2.imwrite(out_path, img)
    print(f"✅ Saved: {out_path}")

if __name__ == "__main__":
    save_debug_clusters_from_json()