from typing import List, Optional

from gluonts.dataset.common import Dataset
from gluonts.model.forecast import Forecast


class AbstractPredictor:
    def __init__(
        self,
        prediction_length: int,
        freq: str,
        seasonality: int,
        quantile_levels: Optional[List[float]] = None,
    ):
        self.prediction_length = prediction_length
        self.freq = freq
        self.seasonality = seasonality
        self.quantile_levels = quantile_levels or [
            0.1,
            0.2,
            0.3,
            0.4,
            0.5,
            0.6,
            0.7,
            0.8,
            0.9,
        ]
        self._runtime = None

    def fit_predict(
        self,
        dataset: Dataset
    ) -> List[Forecast]:
        raise NotImplementedError

    def save_runtime(self, time: float) -> None:
        self._runtime = time

    def get_runtime(self) -> float:
        return self._runtime