import os
import traceback
import faiss
from data.ModelSlot import DiffusionSVCModelSlot, RVCModelSlot

from voice_changer.RVC.deviceManager.DeviceManager import DeviceManager
from voice_changer.RVC.embedder.EmbedderManager import EmbedderManager
from voice_changer.RVC.inferencer.InferencerManager import InferencerManager
from voice_changer.RVC.pipeline.Pipeline import Pipeline
from voice_changer.RVC.pitchExtractor.PitchExtractorManager import PitchExtractorManager


def createPipeline(modelSlot: DiffusionSVCModelSlot, gpu: int, f0Detector: str):
    dev = DeviceManager.get_instance().getDevice(gpu)
    half = DeviceManager.get_instance().halfPrecisionAvailable(gpu)

    # # Inferencer 生成
    # try:
    #     inferencer = InferencerManager.getInferencer(modelSlot.modelType, modelSlot.modelFile, gpu)
    # except Exception as e:
    #     print("[Voice Changer] exception! loading inferencer", e)
    #     traceback.print_exc()

    # # Embedder 生成
    # try:
    #     embedder = EmbedderManager.getEmbedder(
    #         modelSlot.embedder,
    #         # emmbedderFilename,
    #         half,
    #         dev,
    #     )
    # except Exception as e:
    #     print("[Voice Changer]  exception! loading embedder", e)
    #     traceback.print_exc()

    # # pitchExtractor
    # pitchExtractor = PitchExtractorManager.getPitchExtractor(f0Detector, gpu)


    # pipeline = Pipeline(
    #     embedder,
    #     inferencer,
    #     pitchExtractor,
    #     index,
    #     modelSlot.samplingRate,
    #     dev,
    #     half,
    # )

    # return pipeline