import base64
import cv2
import numpy as np
from deepface import DeepFace

class fraudCheck:
    def decode_base64_image(b64_string):
        image_data = base64.b64decode(b64_string)
        np_arr = np.frombuffer(image_data, np.uint8)
        return cv2.imdecode(np_arr, cv2.IMREAD_COLOR)

    def match_faces(id_image_b64, selfie_b64):
        try:
            id_img = fraudCheck.decode_base64_image(id_image_b64)
            selfie_img = fraudCheck.decode_base64_image(selfie_b64)

            result = DeepFace.verify(id_img, selfie_img, enforce_detection=False)
            return {
                "verified": result["verified"],
                "distance": result["distance"],
                "threshold": result["threshold"]
            }

        except Exception as e:
            print("❌ Face match failed:", e)
            return {
                "error": str(e),
                "verified": False,
                "distance": None,
                "threshold": None
            }