import cv2
import numpy as np
import openface
import docker


class OpenFaceModel:
    def __init__(self) -> None:
        self.client = docker.from_env()
        self.client.images.pull("bamos/openface")

    def preprocess(self, image: bytes) -> np.ndarray:
        raise NotImplemented

    def embed(self, aligned_face):
        container = self.client.containers.run(
            "bamos/openface",
            "python /root/openface/demos/classifier.py infer /root/openface/models/openface/celeb-classifier.nn4.small2.v1.pkl -",
            detach=True,
            stdin_open=True,
            tty=True,
        )
        raise NotImplemented
        return rep

    def similarity(self, rep1, rep2):
        return np.linalg.norm(rep1 - rep2, ord=2)