from typing import Mapping, List

import numpy as np

from image_prediction.estimator.adapter.adapter import EstimatorAdapter
from image_prediction.utils import get_logger

logger = get_logger()


class Estimator:
    def __init__(self, estimator_adapter: EstimatorAdapter, classes: Mapping[int, str]):
        self.__estimator_adapter = estimator_adapter
        self.__classes = classes

    def predict(self, batch: np.array) -> List[str]:

        if batch.shape[0] == 0:
            return []

        return [self.__classes[numeric_label] for numeric_label in self.__estimator_adapter.predict(batch)]

    def __call__(self, batch: np.array) -> List[str]:
        return self.predict(batch)