"""Adapter wrapping faster-whisper into a small transcriber class.

Provides a `FasterWhisperTranscriber` with a stable `transcribe` API that
other code can depend on. Uses the implementation in
`whisper_project.infra.transcribe`.
"""
from typing import Optional

from whisper_project.infra.transcribe import transcribe_faster_whisper, write_srt


class FasterWhisperTranscriber:
    def __init__(self, model: str = "base", compute_type: str = "int8") -> None:
        self.model = model
        self.compute_type = compute_type

    def transcribe(self, file_path: str, srt_out: Optional[str] = None):
        """Transcribe the given audio file.

        If `srt_out` is provided, writes an SRT file using `write_srt`.
        Returns the segments list (as returned by faster-whisper wrapper).
        """
        segments = transcribe_faster_whisper(file_path, self.model, compute_type=self.compute_type)
        if srt_out and segments:
            write_srt(segments, srt_out)
        return segments


__all__ = ["FasterWhisperTranscriber"]
from typing import List
from ..core.models import Segment


class FasterWhisperTranscriber:
    """Adaptador que usa faster-whisper para transcribir y escribir SRT."""

    def __init__(self, model: str = "base", compute_type: str = "int8"):
        self.model = model
        self.compute_type = compute_type

    def transcribe(self, audio_path: str, srt_out: str) -> List[Segment]:
        # Importar localmente para evitar coste al importar el módulo
        from faster_whisper import WhisperModel
        from whisper_project.transcribe import write_srt, dedupe_adjacent_segments

        model_obj = WhisperModel(self.model, device="cpu", compute_type=self.compute_type)
        segments_gen, info = model_obj.transcribe(audio_path, beam_size=5)
        segments = list(segments_gen)

        # Convertir a nuestros Segment dataclass
        result_segments = []
        for s in segments:
            # faster-whisper segment tiene .start, .end, .text
            seg = Segment(start=float(s.start), end=float(s.end), text=str(s.text))
            result_segments.append(seg)

        # escribir SRT usando la función existente (acepta objetos con .start/.end/.text)
        segments_to_write = dedupe_adjacent_segments(result_segments)
        write_srt(segments_to_write, srt_out)
        return result_segments