from typing import Any

import whisper

from utils import TimelineEvent

class Transcriber:
    """This class performs transcription of the audio file."""
    @staticmethod
    def get_models_list() -> list[str]:
        """Returns list of allowed `model` values for constructor."""
        return whisper.available_models()

    def __init__(self, model: str, **kwargs) -> None:
        """Create the transcriber instance.
        
        Args:
            - model - model to use (call `get_models_list` to get the list of
                      available models)
            - **kwargs are passed to `whisper.load_model(...)`
        """
        allowed_models = self.get_models_list()
        if model not in allowed_models:
            raise ValueError(
                f"Model `{model}` is not available. "
                f"Use one of {', '.join(f'`{s}`' for s in allowed_models)}"
            )
        self._model = whisper.load_model(model, **kwargs)

    def transcribe(self, path: str, **kwargs) -> list[TimelineEvent]:
        """Transcribe audiofile. The operation will take a lot of time for large
        files.

        Args:
            - path - path to the file to transcribe.
            - **kwargs - passed to `transcribe()`
        
        Returns:
            - list of timeline events you should use
        """
        raw_segments: list[dict]
        raw_segments = self._model.transcribe(path, **kwargs)["segments"] # type: ignore
        result: list[TimelineEvent] = []
        seg_id: int = 0
        for raw_segment in raw_segments:
            ev = TimelineEvent(
                id = f"asr_{seg_id}",
                timestamp=float(raw_segment["start"]),
                duration=float(raw_segment["end"]) - float(raw_segment["start"]),
                payload=raw_segment["text"],
                custom={
                    "whisper_temperature": float(raw_segment["temperature"]),
                    "whisper_avg_logprob": float(raw_segment["avg_logprob"]),
                    "whisper_no_speech_prob": float(raw_segment["no_speech_prob"])
                },
                links=[]
            )
            result.append(ev)
            seg_id += 1
        return result