mirror of
https://github.com/w-okada/voice-changer.git
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133 lines
4.8 KiB
TypeScript
133 lines
4.8 KiB
TypeScript
import { ServerInfo, ServerSettingKey } from "./const";
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type FileChunk = {
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hash: number,
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chunk: ArrayBuffer
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}
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export class ServerConfigurator {
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private serverUrl = ""
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setServerUrl = (serverUrl: string) => {
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this.serverUrl = serverUrl
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console.log(`[ServerConfigurator] Server URL: ${this.serverUrl}`)
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}
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getSettings = async () => {
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const url = this.serverUrl + "/info"
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const info = await new Promise<ServerInfo>((resolve) => {
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const request = new Request(url, {
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method: 'GET',
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});
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fetch(request).then(async (response) => {
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const json = await response.json() as ServerInfo
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resolve(json)
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})
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})
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return info
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}
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updateSettings = async (key: ServerSettingKey, val: string) => {
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const url = this.serverUrl + "/update_setteings"
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const info = await new Promise<ServerInfo>(async (resolve) => {
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const formData = new FormData();
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formData.append("key", key);
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formData.append("val", val);
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const request = new Request(url, {
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method: 'POST',
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body: formData,
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});
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const res = await (await fetch(request)).json() as ServerInfo
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resolve(res)
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})
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return info
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}
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uploadFile = async (buf: ArrayBuffer, filename: string, onprogress: (progress: number, end: boolean) => void) => {
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const url = this.serverUrl + "/upload_file"
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onprogress(0, false)
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const size = 1024 * 1024;
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const fileChunks: FileChunk[] = [];
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let index = 0; // index値
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for (let cur = 0; cur < buf.byteLength; cur += size) {
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fileChunks.push({
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hash: index++,
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chunk: buf.slice(cur, cur + size),
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});
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}
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const chunkNum = fileChunks.length
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// console.log("FILE_CHUNKS:", chunkNum, fileChunks)
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while (true) {
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const promises: Promise<void>[] = []
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for (let i = 0; i < 10; i++) {
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const chunk = fileChunks.shift()
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if (!chunk) {
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break
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}
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const p = new Promise<void>((resolve) => {
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const formData = new FormData();
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formData.append("file", new Blob([chunk.chunk]));
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formData.append("filename", `${filename}_${chunk.hash}`);
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const request = new Request(url, {
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method: 'POST',
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body: formData,
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});
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fetch(request).then(async (_response) => {
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// console.log(await response.text())
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resolve()
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})
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})
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promises.push(p)
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}
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await Promise.all(promises)
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if (fileChunks.length == 0) {
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break
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}
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onprogress(Math.floor(((chunkNum - fileChunks.length) / (chunkNum + 1)) * 100), false)
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}
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return chunkNum
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}
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concatUploadedFile = async (filename: string, chunkNum: number) => {
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const url = this.serverUrl + "/concat_uploaded_file"
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await new Promise<void>((resolve) => {
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const formData = new FormData();
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formData.append("filename", filename);
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formData.append("filenameChunkNum", "" + chunkNum);
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const request = new Request(url, {
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method: 'POST',
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body: formData,
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});
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fetch(request).then(async (response) => {
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console.log(await response.text())
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resolve()
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})
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})
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}
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// !! 注意!! hubertTorchModelは固定値で上書きされるため、設定しても効果ない。
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loadModel = async (configFilename: string, pyTorchModelFilename: string | null, onnxModelFilename: string | null, clusterTorchModelFilename: string | null, hubertTorchModelFilename: string | null) => {
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const url = this.serverUrl + "/load_model"
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const info = new Promise<ServerInfo>(async (resolve) => {
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const formData = new FormData();
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formData.append("pyTorchModelFilename", pyTorchModelFilename || "-");
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formData.append("onnxModelFilename", onnxModelFilename || "-");
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formData.append("configFilename", configFilename);
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formData.append("clusterTorchModelFilename", clusterTorchModelFilename || "-");
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formData.append("hubertTorchModelFilename", hubertTorchModelFilename || "-");
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const request = new Request(url, {
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method: 'POST',
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body: formData,
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});
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const res = await (await fetch(request)).json() as ServerInfo
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resolve(res)
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})
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return await info
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}
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} |