Fixed confusing messaging where comments mentioned Node 24 while actual requirement is Node 22: - environment.ts: Fixed areWorkerThreadsAvailableSync() to check for >= 22 instead of >= 24 - workerUtils.ts: Updated comments to reference Node.js 22 LTS instead of 24 - embedding.ts: Updated ONNX threading comment to reference Node.js 22 LTS Why Node 22 not Node 24: - ONNX Runtime has stability issues in Node 24 (V8 HandleScope crashes) - Node 22 LTS provides maximum stability with our embedding model - These stale Node 24 references were causing user confusion 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
512 lines
18 KiB
TypeScript
512 lines
18 KiB
TypeScript
/**
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* Utility functions for executing functions in Worker Threads (Node.js) or Web Workers (Browser)
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* This implementation leverages Node.js 22's stable Worker Threads API for maximum reliability
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*/
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import { isBrowser, isNode } from './environment.js'
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import { prodLog } from './logger.js'
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// Worker pool to reuse workers
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const workerPool: Map<string, any> = new Map()
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const MAX_POOL_SIZE = 4 // Adjust based on system capabilities
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/**
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* Execute a function in a separate thread
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*
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* @param fnString The function to execute as a string
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* @param args The arguments to pass to the function
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* @returns A promise that resolves with the result of the function
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*/
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export function executeInThread<T>(fnString: string, args: any): Promise<T> {
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if (isNode()) {
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return executeInNodeWorker<T>(fnString, args)
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} else if (isBrowser() && typeof window !== 'undefined' && window.Worker) {
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return executeInWebWorker<T>(fnString, args)
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} else {
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// Fallback to main thread execution
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try {
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// Try different approaches to create a function from string
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let fn
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try {
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// First try with 'return' prefix
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fn = new Function('return ' + fnString)()
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} catch (functionError) {
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console.warn(
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'Fallback: Error creating function with return syntax, trying alternative approaches',
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functionError
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)
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try {
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// Try wrapping in parentheses for function expressions
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fn = new Function('return (' + fnString + ')')()
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} catch (wrapError) {
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console.warn(
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'Fallback: Error creating function with parentheses wrapping',
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wrapError
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)
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try {
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// Try direct approach for named functions
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fn = new Function(fnString)()
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} catch (directError) {
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console.warn(
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'Fallback: Direct approach failed, trying with function wrapper',
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directError
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)
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try {
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// Try wrapping in a function that returns the function expression
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fn = new Function(
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'return function(args) { return (' + fnString + ')(args); }'
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)()
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} catch (wrapperError) {
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console.error(
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'Fallback: All approaches to create function failed',
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wrapperError
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)
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throw new Error(
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'Failed to create function from string: ' +
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(functionError as Error).message
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)
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}
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}
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}
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}
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return Promise.resolve(fn(args) as T)
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} catch (error) {
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return Promise.reject(error)
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}
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}
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}
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/**
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* Execute a function in a Node.js Worker Thread
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* Optimized for Node.js 22 LTS with stable Worker Threads performance
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*/
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function executeInNodeWorker<T>(fnString: string, args: any): Promise<T> {
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return new Promise<T>((resolve, reject) => {
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try {
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// Dynamically import worker_threads (Node.js only)
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import('node:worker_threads')
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.then(({ Worker, isMainThread, parentPort, workerData }) => {
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if (!isMainThread && parentPort) {
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// We're inside a worker, execute the function
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const fn = new Function('return ' + workerData.fnString)()
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const result = fn(workerData.args)
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parentPort.postMessage({ result })
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return
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}
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// Get a worker from the pool or create a new one
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const workerId = `worker-${Math.random().toString(36).substring(2, 9)}`
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let worker: any
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if (workerPool.size < MAX_POOL_SIZE) {
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// Create a new worker
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worker = new Worker(
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`
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import { parentPort, workerData } from 'node:worker_threads';
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// Add TensorFlow.js platform patch for Node.js
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if (typeof global !== 'undefined') {
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try {
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// Define a custom PlatformNode class
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class PlatformNode {
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constructor() {
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// Create a util object with necessary methods
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this.util = {
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// Add isFloat32Array and isTypedArray directly to util
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isFloat32Array: (arr) => {
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return !!(
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arr instanceof Float32Array ||
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(arr &&
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Object.prototype.toString.call(arr) === '[object Float32Array]')
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);
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},
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isTypedArray: (arr) => {
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return !!(ArrayBuffer.isView(arr) && !(arr instanceof DataView));
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},
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// Use native TextEncoder and TextDecoder
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TextEncoder: TextEncoder,
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TextDecoder: TextDecoder
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};
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// Initialize encoders using native constructors
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this.textEncoder = new TextEncoder();
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this.textDecoder = new TextDecoder();
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}
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// Define isFloat32Array directly on the instance
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isFloat32Array(arr) {
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return !!(
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arr instanceof Float32Array ||
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(arr && Object.prototype.toString.call(arr) === '[object Float32Array]')
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);
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}
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// Define isTypedArray directly on the instance
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isTypedArray(arr) {
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return !!(ArrayBuffer.isView(arr) && !(arr instanceof DataView));
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}
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}
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// Assign the PlatformNode class to the global object
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global.PlatformNode = PlatformNode;
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// Also create an instance and assign it to global.platformNode
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global.platformNode = new PlatformNode();
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// Ensure global.util exists and has the necessary methods
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if (!global.util) {
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global.util = {};
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}
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// Add isFloat32Array method if it doesn't exist
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if (!global.util.isFloat32Array) {
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global.util.isFloat32Array = (arr) => {
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return !!(
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arr instanceof Float32Array ||
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(arr && Object.prototype.toString.call(arr) === '[object Float32Array]')
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);
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};
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}
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// Add isTypedArray method if it doesn't exist
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if (!global.util.isTypedArray) {
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global.util.isTypedArray = (arr) => {
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return !!(ArrayBuffer.isView(arr) && !(arr instanceof DataView));
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};
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}
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} catch (error) {
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console.warn('Failed to apply TensorFlow.js platform patch:', error);
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}
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}
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const fn = new Function('return ' + workerData.fnString)();
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const result = fn(workerData.args);
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parentPort.postMessage({ result });
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`,
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{
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eval: true,
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workerData: { fnString, args }
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}
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)
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workerPool.set(workerId, worker)
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} else {
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// Reuse an existing worker
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const poolKeys = Array.from(workerPool.keys())
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const randomKey =
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poolKeys[Math.floor(Math.random() * poolKeys.length)]
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worker = workerPool.get(randomKey)
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// Terminate and recreate if the worker is busy
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if (worker._busy) {
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worker.terminate()
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worker = new Worker(
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`
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import { parentPort, workerData } from 'node:worker_threads';
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// Add TensorFlow.js platform patch for Node.js
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if (typeof global !== 'undefined') {
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try {
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// Define a custom PlatformNode class
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class PlatformNode {
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constructor() {
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// Create a util object with necessary methods
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this.util = {
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// Use native TextEncoder and TextDecoder
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TextEncoder: TextEncoder,
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TextDecoder: TextDecoder
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};
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// Initialize encoders using native constructors
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this.textEncoder = new TextEncoder();
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this.textDecoder = new TextDecoder();
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}
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// Define isFloat32Array directly on the instance
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isFloat32Array(arr) {
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return !!(
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arr instanceof Float32Array ||
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(arr && Object.prototype.toString.call(arr) === '[object Float32Array]')
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);
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}
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// Define isTypedArray directly on the instance
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isTypedArray(arr) {
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return !!(ArrayBuffer.isView(arr) && !(arr instanceof DataView));
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}
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}
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// Assign the PlatformNode class to the global object
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global.PlatformNode = PlatformNode;
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// Also create an instance and assign it to global.platformNode
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global.platformNode = new PlatformNode();
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// Ensure global.util exists and has the necessary methods
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if (!global.util) {
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global.util = {};
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}
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// Add isFloat32Array method if it doesn't exist
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if (!global.util.isFloat32Array) {
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global.util.isFloat32Array = (arr) => {
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return !!(
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arr instanceof Float32Array ||
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(arr && Object.prototype.toString.call(arr) === '[object Float32Array]')
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);
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};
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}
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// Add isTypedArray method if it doesn't exist
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if (!global.util.isTypedArray) {
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global.util.isTypedArray = (arr) => {
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return !!(ArrayBuffer.isView(arr) && !(arr instanceof DataView));
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};
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}
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} catch (error) {
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console.warn('Failed to apply TensorFlow.js platform patch:', error);
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}
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}
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const fn = new Function('return ' + workerData.fnString)();
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const result = fn(workerData.args);
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parentPort.postMessage({ result });
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`,
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{
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eval: true,
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workerData: { fnString, args }
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}
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)
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workerPool.set(randomKey, worker)
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}
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worker._busy = true
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}
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worker.on('message', (message: any) => {
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worker._busy = false
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resolve(message.result as T)
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})
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worker.on('error', (err: any) => {
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worker._busy = false
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reject(err)
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})
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worker.on('exit', (code: number) => {
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if (code !== 0) {
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worker._busy = false
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reject(new Error(`Worker stopped with exit code ${code}`))
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}
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})
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})
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.catch(reject)
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} catch (error) {
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reject(error)
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}
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})
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}
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/**
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* Execute a function in a Web Worker (Browser environment)
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*/
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function executeInWebWorker<T>(fnString: string, args: any): Promise<T> {
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return new Promise<T>((resolve, reject) => {
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try {
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// Use the dedicated worker.js file instead of creating a blob
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// Try different approaches to locate the worker.js file
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let workerPath = './worker.js'
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try {
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// First try to use the import.meta.url if available (modern browsers)
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if (typeof import.meta !== 'undefined' && import.meta.url) {
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const baseUrl = import.meta.url.substring(
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0,
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import.meta.url.lastIndexOf('/') + 1
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)
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workerPath = `${baseUrl}worker.js`
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}
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// Fallback to a relative path based on the unified.js location
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else if (typeof document !== 'undefined') {
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// Find the script tag that loaded unified.js
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const scripts = document.getElementsByTagName('script')
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for (let i = 0; i < scripts.length; i++) {
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const src = scripts[i].src
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if (src && src.includes('unified.js')) {
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// Get the directory path
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workerPath =
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src.substring(0, src.lastIndexOf('/') + 1) + 'worker.js'
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break
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}
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}
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}
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} catch (e) {
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console.warn(
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'Could not determine worker path from import.meta.url, using relative path',
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e
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)
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}
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// If we couldn't determine the path, try some common locations
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if (workerPath === './worker.js' && typeof window !== 'undefined') {
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// Try to find the worker.js in the same directory as the current page
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const pageUrl = window.location.href
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const pageDir = pageUrl.substring(0, pageUrl.lastIndexOf('/') + 1)
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workerPath = `${pageDir}worker.js`
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// Also check for dist/worker.js
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if (typeof document !== 'undefined') {
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const distWorkerPath = `${pageDir}dist/worker.js`
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// Create a test request to see if the file exists
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const xhr = new XMLHttpRequest()
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xhr.open('HEAD', distWorkerPath, false)
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try {
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xhr.send()
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if (xhr.status >= 200 && xhr.status < 300) {
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workerPath = distWorkerPath
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}
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} catch (e) {
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// Ignore errors, we'll use the default path
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}
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}
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}
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console.log('Using worker path:', workerPath)
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// Try to create a worker, but fall back to inline worker or main thread execution if it fails
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let worker: Worker
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try {
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worker = new Worker(workerPath)
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} catch (error) {
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console.warn(
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'Failed to create Web Worker from file, trying inline worker:',
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error
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)
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try {
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// Create an inline worker using a Blob
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const workerCode = `
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// Brainy Inline Worker Script
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console.log('Brainy Inline Worker: Started');
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self.onmessage = function (e) {
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try {
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console.log('Brainy Inline Worker: Received message', e.data ? 'with data' : 'without data');
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if (!e.data || !e.data.fnString) {
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throw new Error('Invalid message: missing function string');
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}
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console.log('Brainy Inline Worker: Creating function from string');
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const fn = new Function('return ' + e.data.fnString)();
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console.log('Brainy Inline Worker: Executing function with args');
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const result = fn(e.data.args);
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console.log('Brainy Inline Worker: Function executed successfully, posting result');
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self.postMessage({ result: result });
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} catch (error) {
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console.error('Brainy Inline Worker: Error executing function', error);
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self.postMessage({
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error: error.message,
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stack: error.stack
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});
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}
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};
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`
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const blob = new Blob([workerCode], {
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type: 'application/javascript'
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})
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const blobUrl = URL.createObjectURL(blob)
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worker = new Worker(blobUrl)
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console.log('Created inline worker using Blob URL')
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} catch (inlineWorkerError) {
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console.warn(
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'Failed to create inline Web Worker, falling back to main thread execution:',
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inlineWorkerError
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)
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// Execute in main thread as fallback
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try {
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const fn = new Function('return ' + fnString)()
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resolve(fn(args) as T)
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return
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} catch (mainThreadError) {
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reject(mainThreadError)
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return
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}
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}
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}
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// Set a timeout to prevent hanging
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const timeoutId = setTimeout(() => {
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console.warn(
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'Web Worker execution timed out, falling back to main thread'
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)
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worker.terminate()
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// Execute in main thread as fallback
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try {
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const fn = new Function('return ' + fnString)()
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resolve(fn(args) as T)
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} catch (mainThreadError) {
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reject(mainThreadError)
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}
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}, 25000) // 25 second timeout (less than the 30 second test timeout)
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worker.onmessage = function (e) {
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clearTimeout(timeoutId)
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if (e.data.error) {
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reject(new Error(e.data.error))
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} else {
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resolve(e.data.result as T)
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}
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worker.terminate()
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}
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worker.onerror = function (e) {
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clearTimeout(timeoutId)
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console.warn(
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'Web Worker error, falling back to main thread execution:',
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e.message
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)
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worker.terminate()
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// Execute in main thread as fallback
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try {
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const fn = new Function('return ' + fnString)()
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resolve(fn(args) as T)
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} catch (mainThreadError) {
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reject(mainThreadError)
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}
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}
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worker.postMessage({ fnString, args })
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} catch (error) {
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reject(error)
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}
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})
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}
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/**
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* Clean up all worker pools
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* This should be called when the application is shutting down
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*/
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export function cleanupWorkerPools(): void {
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if (isNode()) {
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import('node:worker_threads')
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.then(({ Worker }) => {
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for (const worker of workerPool.values()) {
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worker.terminate()
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}
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workerPool.clear()
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console.log('Worker pools cleaned up')
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})
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.catch(console.error)
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}
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}
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