voice-changer/server/voice_changer/VoiceChangerManager.py

import json
import os
import shutil
import numpy as np
from downloader.SampleDownloader import downloadSample, getSampleInfos
from voice_changer.Local.ServerDevice import ServerDevice, ServerDeviceCallbacks
from voice_changer.ModelSlotManager import ModelSlotManager
from voice_changer.VoiceChanger import VoiceChanger
from const import UPLOAD_DIR, ModelType
from voice_changer.utils.LoadModelParams import LoadModelParams
from voice_changer.utils.VoiceChangerModel import AudioInOut
from voice_changer.utils.VoiceChangerParams import VoiceChangerParams
from dataclasses import dataclass, asdict, field
import torch

# import threading
from typing import Callable
from typing import Any


@dataclass()
class GPUInfo:
    id: int
    name: str
    memory: int


@dataclass()
class VoiceChangerManagerSettings:
    dummy: int
    modelSlotIndex: int = -1
    # ↓mutableな物だけ列挙
    intData: list[str] = field(default_factory=lambda: ["modelSlotIndex"])


class VoiceChangerManager(ServerDeviceCallbacks):
    _instance = None

    ############################
    # ServerDeviceCallbacks
    ############################
    def on_request(self, unpackedData: AudioInOut):
        return self.changeVoice(unpackedData)

    def emitTo(self, performance: list[float]):
        self.emitToFunc(performance)

    def get_processing_sampling_rate(self):
        return self.voiceChanger.get_processing_sampling_rate()

    def setSamplingRate(self, sr: int):
        self.voiceChanger.settings.inputSampleRate = sr

    ############################
    # VoiceChangerManager
    ############################
    def __init__(self, params: VoiceChangerParams):
        self.params = params
        self.voiceChanger: VoiceChanger = None
        self.settings: VoiceChangerManagerSettings = VoiceChangerManagerSettings(dummy=0)

        self.modelSlotManager = ModelSlotManager.get_instance(self.params.model_dir)
        # スタティックな情報を収集
        self.gpus: list[GPUInfo] = self._get_gpuInfos()

        self.serverDevice = ServerDevice(self)

        # thread = threading.Thread(target=self.serverDevice.start, args=())
        # thread.start()

    def _get_gpuInfos(self):
        devCount = torch.cuda.device_count()
        gpus = []
        for id in range(devCount):
            name = torch.cuda.get_device_name(id)
            memory = torch.cuda.get_device_properties(id).total_memory
            gpu = {"id": id, "name": name, "memory": memory}
            gpus.append(gpu)
        return gpus

    @classmethod
    def get_instance(cls, params: VoiceChangerParams):
        if cls._instance is None:
            cls._instance = cls(params)
            cls._instance.voiceChanger = VoiceChanger(params)
        return cls._instance

    def loadModel(self, params: LoadModelParams):
        if params.isSampleMode:
            # サンプルダウンロード
            downloadSample(self.params.sample_mode, params.sampleId, self.params.model_dir, params.slot, {"useIndex": params.params["rvcIndexDownload"]})
            self.modelSlotManager.getAllSlotInfo(reload=True)
            info = {"status": "OK"}
            return info
        else:
            # アップローダ
            # ファイルをslotにコピー
            for file in params.files:
                print("FILE", file)
                srcPath = os.path.join(UPLOAD_DIR, file.dir, file.name)
                dstDir = os.path.join(
                    self.params.model_dir,
                    str(params.slot),
                    file.dir,
                )
                dstPath = os.path.join(dstDir, file.name)
                os.makedirs(dstDir, exist_ok=True)
                print(f"move to {srcPath} -> {dstPath}")
                shutil.move(srcPath, dstPath)
                file.name = dstPath

            # メタデータ作成(各VCで定義)
            if params.voiceChangerType == "RVC":
                from voice_changer.RVC.RVCModelSlotGenerator import RVCModelSlotGenerator  # 起動時にインポートするとパラメータが取れない。

                slotInfo = RVCModelSlotGenerator.loadModel(params)
                self.modelSlotManager.save_model_slot(params.slot, slotInfo)
            elif params.voiceChangerType == "MMVCv13":
                from voice_changer.MMVCv13.MMVCv13ModelSlotGenerator import MMVCv13ModelSlotGenerator

                slotInfo = MMVCv13ModelSlotGenerator.loadModel(params)
                self.modelSlotManager.save_model_slot(params.slot, slotInfo)
            elif params.voiceChangerType == "MMVCv15":
                from voice_changer.MMVCv15.MMVCv15ModelSlotGenerator import MMVCv15ModelSlotGenerator

                slotInfo = MMVCv15ModelSlotGenerator.loadModel(params)
                self.modelSlotManager.save_model_slot(params.slot, slotInfo)
            elif params.voiceChangerType == "so-vits-svc-40":
                from voice_changer.SoVitsSvc40.SoVitsSvc40ModelSlotGenerator import SoVitsSvc40ModelSlotGenerator

                slotInfo = SoVitsSvc40ModelSlotGenerator.loadModel(params)
                self.modelSlotManager.save_model_slot(params.slot, slotInfo)
            elif params.voiceChangerType == "DDSP-SVC":
                from voice_changer.DDSP_SVC.DDSP_SVC import DDSP_SVC

                slotInfo = DDSP_SVC.loadModel(params)
                self.modelSlotManager.save_model_slot(params.slot, slotInfo)
            print("params", params)

    def get_info(self):
        data = asdict(self.settings)
        data["gpus"] = self.gpus
        data["modelSlots"] = self.modelSlotManager.getAllSlotInfo(reload=True)
        data["sampleModels"] = getSampleInfos(self.params.sample_mode)

        data["status"] = "OK"

        info = self.serverDevice.get_info()
        data.update(info)

        if hasattr(self, "voiceChanger"):
            info = self.voiceChanger.get_info()
            data.update(info)
            return data
        else:
            return {"status": "ERROR", "msg": "no model loaded"}

    def get_performance(self):
        if hasattr(self, "voiceChanger"):
            info = self.voiceChanger.get_performance()
            return info
        else:
            return {"status": "ERROR", "msg": "no model loaded"}

    def generateVoiceChanger(self, val: int):
        slotInfo = self.modelSlotManager.get_slot_info(val)
        if slotInfo is None:
            print(f"[Voice Changer] model slot is not found {val}")
            return
        elif slotInfo.voiceChangerType == "RVC":
            print("................RVC")
            from voice_changer.RVC.RVC import RVC

            self.voiceChangerModel = RVC(self.params, slotInfo)
            self.voiceChanger = VoiceChanger(self.params)
            self.voiceChanger.setModel(self.voiceChangerModel)
        elif slotInfo.voiceChangerType == "MMVCv13":
            print("................MMVCv13")
            from voice_changer.MMVCv13.MMVCv13 import MMVCv13

            self.voiceChangerModel = MMVCv13(slotInfo)
            self.voiceChanger = VoiceChanger(self.params)
            self.voiceChanger.setModel(self.voiceChangerModel)
        elif slotInfo.voiceChangerType == "MMVCv15":
            print("................MMVCv15")
            from voice_changer.MMVCv15.MMVCv15 import MMVCv15

            self.voiceChangerModel = MMVCv15(slotInfo)
            self.voiceChanger = VoiceChanger(self.params)
            self.voiceChanger.setModel(self.voiceChangerModel)
        elif slotInfo.voiceChangerType == "so-vits-svc-40":
            print("................so-vits-svc-40")
            from voice_changer.SoVitsSvc40.SoVitsSvc40 import SoVitsSvc40

            self.voiceChangerModel = SoVitsSvc40(self.params, slotInfo)
            self.voiceChanger = VoiceChanger(self.params)
            self.voiceChanger.setModel(self.voiceChangerModel)
        else:
            print(f"[Voice Changer] unknown voice changer model: {slotInfo.voiceChangerType}")
            del self.voiceChangerModel
            return

    def update_settings(self, key: str, val: str | int | float):
        if key in self.settings.intData:
            newVal = int(val)
            if key == "modelSlotIndex":
                newVal = newVal % 1000
                print(f"[Voice Changer] model slot is changed {self.settings.modelSlotIndex} -> {newVal}")
                self.generateVoiceChanger(newVal)
            setattr(self.settings, key, newVal)

        else:
            self.serverDevice.update_settings(key, val)
            if hasattr(self, "voiceChanger"):
                self.voiceChanger.update_settings(key, val)

        return self.get_info()

    def changeVoice(self, receivedData: AudioInOut):
        if hasattr(self, "voiceChanger") is True:
            return self.voiceChanger.on_request(receivedData)
        else:
            print("Voice Change is not loaded. Did you load a correct model?")
            return np.zeros(1).astype(np.int16), []

    def switchModelType(self, modelType: ModelType):
        return self.voiceChanger.switchModelType(modelType)

    def getModelType(self):
        return self.voiceChanger.getModelType()

    def export2onnx(self):
        return self.voiceChanger.export2onnx()

    def merge_models(self, request: str):
        self.voiceChanger.merge_models(request)
        return self.get_info()

    def setEmitTo(self, emitTo: Callable[[Any], None]):
        self.emitToFunc = emitTo

    def update_model_default(self):
        # self.voiceChanger.update_model_default()
        current_settings = self.voiceChangerModel.get_model_current()
        for current_setting in current_settings:
            current_setting["slot"] = self.settings.modelSlotIndex
            self.modelSlotManager.update_model_info(json.dumps(current_setting))
        return self.get_info()

    def update_model_info(self, newData: str):
        # self.voiceChanger.update_model_info(newData)
        self.modelSlotManager.update_model_info(newData)
        return self.get_info()

    def upload_model_assets(self, params: str):
        # self.voiceChanger.upload_model_assets(params)
        self.modelSlotManager.store_model_assets(params)
        return self.get_info()