david_bai
708 lines
23 KiB
TypeScript
708 lines
23 KiB
TypeScript
// Flow for sending file(s)/folder(s): First, send file metadata, wait for the receiver's request, then send the file content.
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// After the file is sent, send an endMeta, wait for the receiver's ack, and finish.
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// Flow for sending a folder (same as above): Receive a batch file request.
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// Loop through and send the metadata for all files, then record the file size information for the folder part to calculate progress.
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// The receiving display end distinguishes between single files and folders.
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import { generateFileId } from "@/lib/fileUtils";
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import { SpeedCalculator } from "@/lib/speedCalculator";
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import { postLogToBackend } from "@/app/config/api";
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import WebRTC_Initiator from "./webrtc_Initiator";
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import {
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CustomFile,
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fileMetadata,
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WebRTCMessage,
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PeerState,
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FolderMeta,
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FileAck,
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FileRequest,
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FolderComplete,
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} from "@/types/webrtc";
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class FileSender {
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private webrtcConnection: WebRTC_Initiator;
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private peerStates: Map<string, PeerState>;
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private readonly chunkSize: number;
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private pendingFiles: Map<string, CustomFile>;
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private pendingFolerMeta: Record<string, FolderMeta>;
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private speedCalculator: SpeedCalculator;
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// 混合优化配置 - FileReader大块 + 网络小包策略（修复sendData failed）
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private static readonly OPTIMIZED_CONFIG = {
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CHUNK_SIZE: 4194304, // 4MB - 极致大块，最大化减少FileReader调用次数
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BATCH_SIZE: 8, // 8块批量 - 32MB批次处理成功
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NETWORK_CHUNK_SIZE: 65536, // 64KB - WebRTC安全发送大小，修复sendData failed
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BUFFER_THRESHOLD: 3145728, // 3MB - 阈值
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BACKPRESSURE_TIMEOUT: 2000, // 2秒超时 - 为大块处理预留更多时间
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} as const;
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constructor(WebRTC_initiator: WebRTC_Initiator) {
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this.webrtcConnection = WebRTC_initiator;
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// Maintain independent sending states for each receiver
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this.peerStates = new Map(); // Map<peerId, PeerState>
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// 统一使用优化参数 - 所有设备共享最佳配置
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this.chunkSize = FileSender.OPTIMIZED_CONFIG.CHUNK_SIZE;
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this.pendingFiles = new Map(); // All files pending to be sent (by reference) {fileId: CustomFile}
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this.pendingFolerMeta = {}; // Metadata for folders (total size, total file count), used for tracking transfer progress
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// Create a SpeedCalculator instance
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this.speedCalculator = new SpeedCalculator();
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this.setupDataHandler();
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}
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// region Logging and Error Handling
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private log(
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level: "log" | "warn" | "error",
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message: string,
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context?: Record<string, any>
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) {
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const prefix = `[FileSender]`;
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console[level](prefix, message, context || "");
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}
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private fireError(message: string, context?: Record<string, any>) {
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this.webrtcConnection.fireError(message, {
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...context,
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component: "FileSender",
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});
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}
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// endregion
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// Initialize state for a new receiver
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private getPeerState(peerId: string): PeerState {
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if (!this.peerStates.has(peerId)) {
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this.peerStates.set(peerId, {
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isSending: false, // Used to determine if a file is successfully sent. True before sending, false after receiving ack.
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bufferQueue: [], // Pre-read buffer to improve sending efficiency.
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readOffset: 0, // Read position, used by the sending function.
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isReading: false, // Whether reading is in progress, used by the sending function to avoid duplicate reads.
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currentFolderName: "", // If the current file belongs to a folder, assign the folder name here.
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totalBytesSent: {}, // Bytes sent for a file/folder, used for progress calculation; {fileId: 0}
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progressCallback: null, // Progress callback.
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});
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}
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return this.peerStates.get(peerId)!; // ! Non-Null Assertion Operator
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}
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private setupDataHandler(): void {
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this.webrtcConnection.onDataReceived = (data, peerId) => {
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if (typeof data === "string") {
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try {
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const parsedData = JSON.parse(data) as WebRTCMessage;
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this.handleSignalingMessage(parsedData, peerId);
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} catch (error) {
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this.fireError("Error parsing received JSON data", { error, peerId });
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}
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}
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};
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}
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private handleSignalingMessage(message: WebRTCMessage, peerId: string): void {
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const peerState = this.getPeerState(peerId);
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switch (message.type) {
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case "fileRequest":
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this.handleFileRequest(message as FileRequest, peerId);
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break;
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case "fileAck":
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peerState.isSending = false;
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this.log("log", `Received file-finish ack from peer ${peerId}`, {
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fileId: (message as FileAck).fileId,
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});
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break;
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case "folderComplete":
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const folderName = (message as FolderComplete).folderName;
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this.log(
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"log",
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`Received folderComplete message for ${folderName} from peer ${peerId}`
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);
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// The receiver has confirmed the folder is complete.
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// Force the progress to 100% for the sender's UI.
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if (this.pendingFolerMeta[folderName]) {
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peerState.progressCallback?.(folderName, 1, 0);
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}
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break;
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default:
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this.log("warn", `Unknown signaling message type received`, {
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type: message.type,
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peerId,
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});
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}
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}
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public setProgressCallback(
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callback: (fileId: string, progress: number, speed: number) => void,
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peerId: string
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): void {
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this.getPeerState(peerId).progressCallback = callback;
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}
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// Respond to a file request by sending the file
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private async handleFileRequest(
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request: FileRequest,
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peerId: string
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): Promise<void> {
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const file = this.pendingFiles.get(request.fileId);
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const offset = request.offset || 0;
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this.log(
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"log",
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`Handling file request for ${request.fileId} from ${peerId} with offset ${offset}`
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);
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if (file) {
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await this.sendSingleFile(file, peerId, offset);
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} else {
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this.fireError(`File not found for request`, {
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fileId: request.fileId,
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peerId,
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});
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}
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}
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// Modify the sendString method to be asynchronous
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public async sendString(content: string, peerId: string): Promise<void> {
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const chunks: string[] = [];
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for (let i = 0; i < content.length; i += this.chunkSize) {
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chunks.push(content.slice(i, i + this.chunkSize));
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}
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// First, send the metadata
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await this.sendWithBackpressure(
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JSON.stringify({
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type: "stringMetadata",
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length: content.length,
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}),
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peerId
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);
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// Send each chunk sequentially, using backpressure control
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for (let i = 0; i < chunks.length; i++) {
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const data = JSON.stringify({
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type: "string",
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chunk: chunks[i],
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index: i,
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total: chunks.length,
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});
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await this.sendWithBackpressure(data, peerId);
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}
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}
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public sendFileMeta(files: CustomFile[], peerId?: string): void {
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// Record the size of files belonging to a folder for progress calculation
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files.forEach((file) => {
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if (file.folderName) {
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const folderId = file.folderName;
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// folderName: {totalSize: 0, fileIds: []}
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if (!this.pendingFolerMeta[folderId]) {
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this.pendingFolerMeta[folderId] = { totalSize: 0, fileIds: [] };
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}
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const folderMeta = this.pendingFolerMeta[folderId];
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const fileId = generateFileId(file);
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if (!folderMeta.fileIds.includes(fileId)) {
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// If the file has not been added yet
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folderMeta.fileIds.push(fileId);
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folderMeta.totalSize += file.size;
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}
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}
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});
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// Loop through and send the metadata for all files
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const peers = peerId
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? [peerId]
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: Array.from(this.webrtcConnection.peerConnections.keys());
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peers.forEach((pId) => {
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files.forEach((file) => {
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const fileId = generateFileId(file);
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this.pendingFiles.set(fileId, file);
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const fileMeta = this.getFileMeta(file);
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const metaDataString = JSON.stringify(fileMeta);
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const sendResult = this.webrtcConnection.sendData(metaDataString, pId);
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if (!sendResult) {
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this.fireError("Failed to send file metadata", {
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fileMeta,
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peerId: pId,
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});
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}
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});
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});
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}
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// Send a single file
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private async sendSingleFile(
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file: CustomFile,
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peerId: string,
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offset: number = 0
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): Promise<void> {
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const fileId = generateFileId(file);
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const peerState = this.getPeerState(peerId);
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if (peerState.isSending) {
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return;
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}
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// Reset state for the new transfer
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peerState.isSending = true;
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peerState.currentFolderName = file.folderName;
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peerState.readOffset = offset; // Start reading from the given offset
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peerState.bufferQueue = [];
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peerState.isReading = false;
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peerState.totalBytesSent[fileId] = offset; // Start counting sent bytes from the offset
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try {
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await this.processSendQueue(file, peerId);
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this.finalizeSendFile(fileId, peerId);
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await this.waitForTransferComplete(peerId); // Wait for transfer completion -- receiver confirmation
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} catch (error: any) {
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this.fireError(`Error sending file ${file.name}: ${error.message}`, {
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fileId,
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peerId,
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});
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this.abortFileSend(fileId, peerId);
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}
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}
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private async waitForTransferComplete(peerId: string): Promise<void> {
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const peerState = this.getPeerState(peerId);
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while (peerState?.isSending) {
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await new Promise((resolve) => setTimeout(resolve, 50));
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}
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}
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private getFileMeta(file: CustomFile): fileMetadata {
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const fileId = generateFileId(file);
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return {
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type: "fileMeta",
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fileId,
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name: file.name,
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size: file.size,
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fileType: file.type,
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fullName: file.fullName,
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folderName: file.folderName,
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};
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}
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private async updateProgress(
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byteLength: number,
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fileId: string,
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fileSize: number,
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peerId: string
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): Promise<void> {
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const peerState = this.getPeerState(peerId);
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if (!peerState) return;
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// Always update the individual file's progress first.
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if (!peerState.totalBytesSent[fileId]) {
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// This case should be handled by sendSingleFile's initialization
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peerState.totalBytesSent[fileId] = 0;
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}
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peerState.totalBytesSent[fileId] += byteLength;
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let progressFileId = fileId;
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let currentBytes = peerState.totalBytesSent[fileId];
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let totalSize = fileSize;
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// If the file is part of a folder, recalculate the folder's progress.
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if (peerState.currentFolderName) {
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const folderId = peerState.currentFolderName;
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const folderMeta = this.pendingFolerMeta[folderId];
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progressFileId = folderId;
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totalSize = folderMeta?.totalSize || 0;
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// Recalculate folder progress from the sum of its files' progresses.
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// This is more robust and correct for resumed transfers.
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let folderTotalSent = 0;
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if (folderMeta) {
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folderMeta.fileIds.forEach((fId) => {
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folderTotalSent += peerState.totalBytesSent[fId] || 0;
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});
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}
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currentBytes = folderTotalSent;
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}
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this.speedCalculator.updateSendSpeed(peerId, currentBytes);
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const speed = this.speedCalculator.getSendSpeed(peerId);
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const progress = totalSize > 0 ? currentBytes / totalSize : 0;
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peerState.progressCallback?.(progressFileId, progress, speed);
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}
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private async sendWithBackpressure(
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data: string | ArrayBuffer,
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peerId: string
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): Promise<void> {
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const dataChannel = this.webrtcConnection.dataChannels.get(peerId);
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if (!dataChannel) {
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throw new Error("Data channel not found");
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}
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// 对于ArrayBuffer，如果超过64KB需要分片发送（修复sendData failed）
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if (data instanceof ArrayBuffer) {
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await this.sendLargeArrayBuffer(data, peerId);
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} else {
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// 字符串直接发送
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await this.sendSingleData(data, peerId);
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}
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}
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// 新增：分片发送大ArrayBuffer
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private async sendLargeArrayBuffer(
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data: ArrayBuffer,
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peerId: string
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): Promise<void> {
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const networkChunkSize = FileSender.OPTIMIZED_CONFIG.NETWORK_CHUNK_SIZE;
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const totalSize = data.byteLength;
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// 如果数据小于64KB，直接发送
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if (totalSize <= networkChunkSize) {
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await this.sendSingleData(data, peerId);
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return;
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}
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// 分片发送大块
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let offset = 0;
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let fragmentIndex = 0;
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while (offset < totalSize) {
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const chunkSize = Math.min(networkChunkSize, totalSize - offset);
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const chunk = data.slice(offset, offset + chunkSize);
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// 发送分片
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await this.sendSingleData(chunk, peerId);
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offset += chunkSize;
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fragmentIndex++;
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}
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}
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// 新增：单个数据包发送含主动轮询背压控制
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private async sendSingleData(
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data: string | ArrayBuffer,
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peerId: string
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): Promise<void> {
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const dataChannel = this.webrtcConnection.dataChannels.get(peerId);
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if (!dataChannel) {
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throw new Error("Data channel not found");
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}
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// 智能发送控制 - 根据缓冲区状态决定发送策略
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const threshold = FileSender.OPTIMIZED_CONFIG.BUFFER_THRESHOLD;
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await this.smartBufferControl(dataChannel, threshold);
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// 发送数据
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if (!this.webrtcConnection.sendData(data, peerId)) {
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throw new Error("sendData failed");
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}
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}
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// 智能发送控制策略 - 根据缓冲区状态决定发送策略
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private async intelligentSendControl(
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dataChannel: RTCDataChannel,
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threshold: number
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): Promise<"AGGRESSIVE" | "NORMAL" | "CAUTIOUS" | "WAIT"> {
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const bufferedAmount = dataChannel.bufferedAmount;
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const utilizationRate = bufferedAmount / threshold;
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postLogToBackend(`[utilizationRate] ${utilizationRate}`);
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// 多级缓冲区控制策略
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if (utilizationRate < 0.3) {
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// 缓冲区使用率 < 30% - 积极发送
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return "AGGRESSIVE";
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} else if (utilizationRate < 0.6) {
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// 缓冲区使用率 30-60% - 正常发送
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return "NORMAL";
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} else if (utilizationRate < 0.9) {
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// 缓冲区使用率 60-90% - 谨慎发送
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return "CAUTIOUS";
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} else {
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// 缓冲区使用率 > 90% - 必须等待
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return "WAIT";
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}
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}
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// 智能等待策略 - 根据缓冲区状态调整发送控制
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private async smartBufferControl(
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dataChannel: RTCDataChannel,
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threshold: number
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): Promise<void> {
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const strategy = await this.intelligentSendControl(dataChannel, threshold);
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if (strategy === "AGGRESSIVE") {
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// 积极模式：无需等待，立即发送
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postLogToBackend(`[SendStrategy] AGGRESSIVE mode - immediate send`);
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return;
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} else if (strategy === "NORMAL") {
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await new Promise<void>((resolve) => setTimeout(resolve, 5));
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// 正常模式：无需等待
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return;
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} else if (strategy === "CAUTIOUS") {
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// 谨慎模式：短暂等待3ms让网络消费一些数据
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await new Promise<void>((resolve) => setTimeout(resolve, 10));
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return;
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}
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// WAIT模式：需要主动轮询等待
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const POLLING_INTERVAL = 5;
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const MAX_WAIT_TIME = 3000;
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const startTime = Date.now();
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const threshold_75 = threshold * 0.75;
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const initialBuffered = dataChannel.bufferedAmount;
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let pollCount = 0;
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postLogToBackend(
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`[BackPressure] Start waiting - buffered: ${Math.round(
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initialBuffered / 1024
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)}KB, threshold: ${Math.round(threshold / 1024)}KB`
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);
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while (dataChannel.bufferedAmount > threshold_75) {
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pollCount++;
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if (Date.now() - startTime > MAX_WAIT_TIME) {
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this.log("warn", "Buffer wait timeout", {
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bufferedAmount: dataChannel.bufferedAmount,
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threshold,
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waitTime: Date.now() - startTime,
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});
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postLogToBackend(
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`[BackPressure] TIMEOUT after ${
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Date.now() - startTime
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}ms, ${pollCount} polls`
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);
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break;
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}
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await new Promise<void>((resolve) =>
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setTimeout(resolve, POLLING_INTERVAL)
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);
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}
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// 记录等待结束状态
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const waitTime = Date.now() - startTime;
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const finalBuffered = dataChannel.bufferedAmount;
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const clearedBytes = initialBuffered - finalBuffered;
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const clearingRate =
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waitTime > 0 ? clearedBytes / 1024 / (waitTime / 1000) : 0;
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postLogToBackend(
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`[BackPressure] End waiting - time: ${waitTime}ms, polls: ${pollCount}, cleared: ${Math.round(
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clearedBytes / 1024
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)}KB, rate: ${Math.round(clearingRate)}KB/s`
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);
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}
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// 读取单个文件块的优化方法
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private readSingleChunk(
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fileReader: FileReader,
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file: CustomFile,
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offset: number,
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chunkSize: number
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): Promise<ArrayBuffer> {
|
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return new Promise((resolve, reject) => {
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const slice = file.slice(offset, offset + chunkSize);
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fileReader.onload = (e) => {
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if (e.target?.result instanceof ArrayBuffer) {
|
||
resolve(e.target.result);
|
||
} else {
|
||
reject(new Error("Failed to read blob as ArrayBuffer"));
|
||
}
|
||
};
|
||
fileReader.onerror = () =>
|
||
reject(fileReader.error || new Error("Read error"));
|
||
fileReader.readAsArrayBuffer(slice);
|
||
});
|
||
}
|
||
|
||
// 批量读取多个文件块，提升I/O性能
|
||
private async readMultipleChunks(
|
||
fileReader: FileReader,
|
||
file: CustomFile,
|
||
startOffset: number,
|
||
chunkSize: number,
|
||
batchSize: number
|
||
): Promise<ArrayBuffer[]> {
|
||
const readStartTime = Date.now();
|
||
const chunks: ArrayBuffer[] = [];
|
||
const remainingSize = file.size - startOffset;
|
||
const actualBatchSize = Math.min(
|
||
batchSize,
|
||
Math.ceil(remainingSize / chunkSize)
|
||
);
|
||
|
||
for (let i = 0; i < actualBatchSize; i++) {
|
||
const offset = startOffset + i * chunkSize;
|
||
if (offset >= file.size) break;
|
||
|
||
const currentChunkSize = Math.min(chunkSize, file.size - offset);
|
||
const chunk = await this.readSingleChunk(
|
||
fileReader,
|
||
file,
|
||
offset,
|
||
currentChunkSize
|
||
);
|
||
chunks.push(chunk);
|
||
}
|
||
|
||
// 记录批量读取性能
|
||
const readTime = Date.now() - readStartTime;
|
||
const totalBytes = chunks.reduce((sum, chunk) => sum + chunk.byteLength, 0);
|
||
const readThroughput =
|
||
readTime > 0 ? totalBytes / 1024 / (readTime / 1000) : 0; // KB/s
|
||
|
||
if (readTime > 100) {
|
||
// 只记录超过100ms的慢读取
|
||
postLogToBackend(
|
||
`[FileRead] Batch read: ${actualBatchSize} chunks, ${Math.round(
|
||
totalBytes / 1024
|
||
)}KB in ${readTime}ms, throughput: ${Math.round(readThroughput)}KB/s`
|
||
);
|
||
}
|
||
|
||
return chunks;
|
||
}
|
||
|
||
// 统一优化版本 - 使用批量读取+循环，适用于所有设备
|
||
private async processSendQueue(
|
||
file: CustomFile,
|
||
peerId: string
|
||
): Promise<void> {
|
||
const fileId = generateFileId(file);
|
||
const peerState = this.getPeerState(peerId);
|
||
const fileReader = new FileReader();
|
||
|
||
let offset = peerState.readOffset || 0;
|
||
const batchSize = FileSender.OPTIMIZED_CONFIG.BATCH_SIZE;
|
||
|
||
// 性能统计变量
|
||
const transferStartTime = Date.now();
|
||
const initialOffset = offset; // 记录初始偏移量
|
||
let totalReadTime = 0;
|
||
let totalSendTime = 0;
|
||
let batchCount = 0;
|
||
|
||
postLogToBackend(
|
||
`[Transfer] Start sending ${file.name} (${Math.round(
|
||
file.size / 1024
|
||
)}KB) from offset ${Math.round(offset / 1024)}KB, threshold: ${Math.round(
|
||
FileSender.OPTIMIZED_CONFIG.BUFFER_THRESHOLD / 1024
|
||
)}KB`
|
||
);
|
||
|
||
try {
|
||
// 使用批量读取+循环替代传统递归，大幅提升性能
|
||
while (offset < file.size && peerState.isSending) {
|
||
batchCount++;
|
||
const batchStartTime = Date.now();
|
||
|
||
// 批量读取多个大块 - 充分利用内存优势
|
||
const readStartTime = Date.now();
|
||
const chunks = await this.readMultipleChunks(
|
||
fileReader,
|
||
file,
|
||
offset,
|
||
this.chunkSize,
|
||
batchSize
|
||
);
|
||
const readTime = Date.now() - readStartTime;
|
||
totalReadTime += readTime;
|
||
|
||
if (chunks.length === 0) break;
|
||
|
||
// 智能批量发送 - 根据缓冲区状态优化发送策略
|
||
const sendStartTime = Date.now();
|
||
|
||
for (const chunk of chunks) {
|
||
if (!peerState.isSending || offset >= file.size) break;
|
||
// 使用标准的智能控制发送
|
||
await this.sendWithBackpressure(chunk, peerId);
|
||
|
||
// 更新进度
|
||
offset += chunk.byteLength;
|
||
peerState.readOffset = offset;
|
||
|
||
// 更新文件和文件夹进度
|
||
await this.updateProgress(
|
||
chunk.byteLength,
|
||
fileId,
|
||
file.size,
|
||
peerId
|
||
);
|
||
}
|
||
const sendTime = Date.now() - sendStartTime;
|
||
totalSendTime += sendTime;
|
||
|
||
// 批次性能分析
|
||
const batchTime = Date.now() - batchStartTime;
|
||
const batchBytes = chunks.reduce(
|
||
(sum, chunk) => sum + chunk.byteLength,
|
||
0
|
||
);
|
||
const batchThroughput =
|
||
batchTime > 0 ? batchBytes / 1024 / (batchTime / 1000) : 0; // KB/s
|
||
|
||
if (readTime > 200 || sendTime > 200 || batchThroughput < 1000) {
|
||
postLogToBackend(
|
||
`[BatchPerf] Batch ${batchCount}: ${Math.round(
|
||
batchBytes / 1024
|
||
)}KB, read: ${readTime}ms, send: ${sendTime}ms, throughput: ${Math.round(
|
||
batchThroughput
|
||
)}KB/s`
|
||
);
|
||
}
|
||
}
|
||
|
||
// 文件发送完毕，输出总体统计
|
||
const totalTransferTime = Date.now() - transferStartTime;
|
||
const totalBytes = offset - initialOffset;
|
||
const overallThroughput =
|
||
totalTransferTime > 0
|
||
? totalBytes / 1024 / (totalTransferTime / 1000)
|
||
: 0;
|
||
const readRatio =
|
||
totalTransferTime > 0 ? (totalReadTime / totalTransferTime) * 100 : 0;
|
||
const sendRatio =
|
||
totalTransferTime > 0 ? (totalSendTime / totalTransferTime) * 100 : 0;
|
||
|
||
postLogToBackend(
|
||
`[TransferComplete] ${file.name}: ${batchCount} batches, ${Math.round(
|
||
totalBytes / 1024
|
||
)}KB in ${totalTransferTime}ms, throughput: ${Math.round(
|
||
overallThroughput
|
||
)}KB/s, read: ${readRatio.toFixed(1)}%, send: ${sendRatio.toFixed(1)}%`
|
||
);
|
||
|
||
// 文件发送完毕
|
||
if (offset >= file.size && !peerState.currentFolderName) {
|
||
peerState.progressCallback?.(fileId, 1, 0);
|
||
}
|
||
} catch (error: any) {
|
||
const errorMessage = `Error in hybrid optimized transfer: ${error.message}`;
|
||
this.fireError(errorMessage, {
|
||
fileId,
|
||
peerId,
|
||
offset,
|
||
});
|
||
throw error;
|
||
}
|
||
}
|
||
|
||
//send fileEnd signal
|
||
private finalizeSendFile(fileId: string, peerId: string): void {
|
||
// this.log("log", `Finalizing file send for ${fileId} to ${peerId}`);
|
||
const endMessage = JSON.stringify({ type: "fileEnd", fileId });
|
||
if (!this.webrtcConnection.sendData(endMessage, peerId)) {
|
||
this.log("warn", `Failed to send fileEnd message for ${fileId}`);
|
||
}
|
||
// The isSending flag will be set to false upon receiving fileAck
|
||
}
|
||
|
||
private abortFileSend(fileId: string, peerId: string): void {
|
||
this.log("warn", `Aborting file send for ${fileId} to ${peerId}`);
|
||
const peerState = this.getPeerState(peerId);
|
||
peerState.isSending = false;
|
||
peerState.readOffset = 0;
|
||
peerState.bufferQueue = [];
|
||
peerState.isReading = false;
|
||
// Optionally, send an abort message to the receiver
|
||
}
|
||
}
|
||
|
||
export default FileSender;
|