import cv2
import numpy as np
from paddleocr import PaddleOCR
import traceback

def test():
    try:
        print("Loading model...")
        ocr = PaddleOCR(use_angle_cls=True, lang='en')
        print("Model loaded.")
        
        # Create a dummy image
        print("Creating dummy image...")
        img = np.zeros((400, 600, 3), dtype=np.uint8)
        cv2.putText(img, "NIK : 1234567890123456", (50, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 2)
        
        # Preprocess
        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
        clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8,8))
        enhanced_img = clahe.apply(gray)
        enhanced_bgr = cv2.cvtColor(enhanced_img, cv2.COLOR_GRAY2BGR)
        
        print("Running OCR...")
        ocr_results = ocr.ocr(enhanced_bgr, cls=True)
        print("OCR successful:", ocr_results)
    except Exception as e:
        print("ERROR:")
        traceback.print_exc()

if __name__ == "__main__":
    test()