from deepface import DeepFace

DISTANCE_METRIC = "cosine"  # cosine, euclidean, euclidean_l2
MODEL_NAME = 'ArcFace'  # VGG-Face, Facenet, OpenFace, DeepFace, DeepID, Dlib, ArcFace or Ensemble
DETECTOR_BACKEND = "opencv"  # Retinaface, mtcnn, opencv, ssd or dlib


def face_verfication(image_array):
    """
        Checking user's face image with user face history images
        If one check is True -> True
    """
    result = False
    verifications = DeepFace.verify(img1_path=image_array,
                                   model_name=MODEL_NAME,
                                   distance_metric=DISTANCE_METRIC,
                                   detector_backend=DETECTOR_BACKEND)
    for k, verification in verifications.items():
        if verification["verified"]:
            result = True
            break

    return result