from typing import Any, Protocol, TypeAlias
import numpy as np
from const import VoiceChangerType

from voice_changer.utils.LoadModelParams import LoadModelParams


AudioInOut: TypeAlias = np.ndarray[Any, np.dtype[np.int16]]
AudioInOutFloat: TypeAlias = np.ndarray[Any, np.dtype[np.float32]]

PitchfInOut: TypeAlias = np.ndarray[Any, np.dtype[np.int16]]
FeatureInOut: TypeAlias = np.ndarray[Any, np.dtype[np.int16]]


class VoiceChangerModel(Protocol):
    voiceChangerType: VoiceChangerType = "RVC"

    # loadModel: Callable[..., dict[str, Any]]
    def loadModel(self, params: LoadModelParams):
        ...

    def get_processing_sampling_rate(self) -> int:
        ...

    def get_info(self) -> dict[str, Any]:
        ...

    def inference(self, data: tuple[Any, ...]) -> Any:
        ...

    def generate_input(
        self,
        newData: AudioInOut,
        inputSize: int,
        crossfadeSize: int,
        solaSearchFrame: int,
    ) -> tuple[Any, ...]:
        ...

    def update_settings(self, key: str, val: int | float | str) -> bool:
        ...