refactor(worker-threads): pass functions as strings to resolve Promise cloning issues
- Updated worker execution logic to pass functions as stringified versions instead of reference types to avoid cloning issues in worker threads. - Refactored utility functions in `workerUtils` to accept serialized function strings. - Adjusted embedding and augmentation pipeline workflows to align with the updated worker handling mechanism. - Enhanced parallel distance calculator to support structured arguments with stringified distance functions for better compatibility.
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parent
887a08b689
commit
d18a5a6c22
5 changed files with 92 additions and 73 deletions
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@ -601,7 +601,7 @@ export class AugmentationPipeline {
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return augFn.apply(augmentation, workerArgs);
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};
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methodPromise = executeInThread<AugmentationResponse<R>>(workerFn, ...args);
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methodPromise = executeInThread<AugmentationResponse<R>>(workerFn.toString(), args);
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} catch (threadError) {
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console.warn(`Failed to execute in thread, falling back to main thread: ${threadError}`);
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// Fall back to executing in the main thread
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@ -69,17 +69,21 @@ export class HNSWIndex {
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// Function to be executed in a worker thread
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const distanceCalculator = (
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query: Vector,
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items: Array<{ id: string; vector: Vector }>,
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distanceFn: string
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args: {
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queryVector: Vector,
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vectors: Array<{ id: string; vector: Vector }>,
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distanceFnString: string
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}
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) => {
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const { queryVector, vectors, distanceFnString } = args;
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// Recreate the distance function from its string representation
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const distanceFunction = new Function('return ' + distanceFn)() as DistanceFunction
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const distanceFunction = new Function('return ' + distanceFnString)() as DistanceFunction
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// Calculate distances for all items
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return items.map(item => ({
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return vectors.map(item => ({
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id: item.id,
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distance: distanceFunction(query, item.vector)
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distance: distanceFunction(queryVector, item.vector)
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}))
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}
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@ -89,10 +93,8 @@ export class HNSWIndex {
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// Execute the distance calculation in a separate thread
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return await executeInThread<Array<{ id: string; distance: number }>>(
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distanceCalculator,
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queryVector,
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vectors,
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distanceFnString
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distanceCalculator.toString(),
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{ queryVector, vectors, distanceFnString }
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)
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} catch (error) {
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console.error('Error in parallel distance calculation, falling back to sequential:', error)
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@ -418,7 +418,7 @@ export class Pipeline implements IPipeline {
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return augFn.apply(augmentation, workerArgs)
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}
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methodPromise = executeInThread<AugmentationResponse<T>>(workerFn, ...args)
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methodPromise = executeInThread<AugmentationResponse<T>>(workerFn.toString(), args)
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} catch (threadError) {
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console.warn(`Failed to execute in thread, falling back to main thread: ${threadError}`)
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// Fall back to executing in the main thread
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@ -214,7 +214,15 @@ export function createThreadedEmbeddingFunction(
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try {
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// Function to be executed in a worker thread
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const embedInWorker = async (inputData: any) => {
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// This must be a regular function (not async) to avoid Promise cloning issues
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const embedInWorker = (inputData: any) => {
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// Return a plain object with the input data
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// All async operations will be performed inside the worker
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return { data: inputData }
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}
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// Worker implementation function that will be stringified and run in the worker
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const workerImplementation = async ({ data }: { data: any }) => {
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// We need to dynamically import TensorFlow.js and USE in the worker
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const tf = await import('@tensorflow/tfjs')
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const use = await import('@tensorflow-models/universal-sentence-encoder')
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@ -224,19 +232,19 @@ export function createThreadedEmbeddingFunction(
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// Handle different input types
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let textToEmbed: string[]
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if (typeof inputData === 'string') {
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if (inputData.trim() === '') {
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if (typeof data === 'string') {
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if (data.trim() === '') {
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return new Array(512).fill(0)
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}
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textToEmbed = [inputData]
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textToEmbed = [data]
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} else if (
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Array.isArray(inputData) &&
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inputData.every((item) => typeof item === 'string')
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Array.isArray(data) &&
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data.every((item) => typeof item === 'string')
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) {
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if (inputData.length === 0 || inputData.every((item) => item.trim() === '')) {
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if (data.length === 0 || data.every((item) => item.trim() === '')) {
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return new Array(512).fill(0)
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}
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textToEmbed = inputData.filter((item) => item.trim() !== '')
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textToEmbed = data.filter((item) => item.trim() !== '')
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if (textToEmbed.length === 0) {
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return new Array(512).fill(0)
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}
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@ -259,7 +267,8 @@ export function createThreadedEmbeddingFunction(
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}
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// Execute the embedding function in a separate thread
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return await executeInThread<Vector>(embedInWorker, data)
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// Pass the worker implementation as a string to avoid Promise cloning issues
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return await executeInThread<Vector>(workerImplementation.toString(), embedInWorker(data))
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} catch (error) {
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// If threading fails and fallback is enabled, use the standard embedding function
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if (options.fallbackToMain) {
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@ -2,24 +2,23 @@
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* Utility functions for working with Web Workers and Worker Threads
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*/
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import { isNode, isBrowser } from './environment.js';
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import { isNode, isBrowser } from './environment.js'
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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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* @param fn The function to execute
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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 executeInWebWorker<T>(fn: Function, ...args: any[]): Promise<T> {
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export function executeInWebWorker<T>(fnString: string, args: any): Promise<T> {
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return new Promise((resolve, reject) => {
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// Create a blob URL for the worker script
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const fnString = fn.toString();
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const workerScript = `
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self.onmessage = function(e) {
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self.onmessage = async function(e) {
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try {
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const fn = ${fnString};
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const result = fn(...e.data);
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const result = await fn(e.data);
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self.postMessage({ success: true, data: result });
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} catch (error) {
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self.postMessage({
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@ -28,59 +27,63 @@ export function executeInWebWorker<T>(fn: Function, ...args: any[]): Promise<T>
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});
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}
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};
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`;
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`
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const blob = new Blob([workerScript], { type: 'application/javascript' });
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const blobURL = URL.createObjectURL(blob);
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const blob = new Blob([workerScript], { type: 'application/javascript' })
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const blobURL = URL.createObjectURL(blob)
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// Create a worker
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const worker = new Worker(blobURL);
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const worker = new Worker(blobURL)
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// Set up message handling
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worker.onmessage = function(e: MessageEvent<{ success: boolean; data: T; error?: string }>) {
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URL.revokeObjectURL(blobURL); // Clean up
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worker.terminate(); // Terminate the worker
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worker.onmessage = function (
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e: MessageEvent<{ success: boolean; data: T; error?: string }>
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) {
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URL.revokeObjectURL(blobURL) // Clean up
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worker.terminate() // Terminate the worker
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if (e.data.success) {
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resolve(e.data.data);
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resolve(e.data.data)
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} else {
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reject(new Error(e.data.error));
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reject(new Error(e.data.error))
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}
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};
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}
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worker.onerror = function(error: ErrorEvent) {
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URL.revokeObjectURL(blobURL); // Clean up
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worker.terminate(); // Terminate the worker
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reject(error);
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};
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worker.onerror = function (error: ErrorEvent) {
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URL.revokeObjectURL(blobURL) // Clean up
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worker.terminate() // Terminate the worker
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reject(error)
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}
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// Start the worker
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worker.postMessage(args);
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});
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worker.postMessage(args)
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})
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}
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/**
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* Execute a function in a Worker Thread (Node.js environment)
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*
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* @param fn The function to execute
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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 executeInWorkerThread<T>(fn: Function, ...args: any[]): Promise<T> {
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export function executeInWorkerThread<T>(
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fnString: string,
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args: any
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): Promise<T> {
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return new Promise((resolve, reject) => {
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try {
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// Dynamic import to avoid errors in browser environments
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const { Worker } = require('worker_threads');
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const { Worker } = require('worker_threads')
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// Create a worker script
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const fnString = fn.toString();
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const workerScript = `
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const { parentPort } = require('worker_threads');
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parentPort.once('message', (data) => {
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parentPort.once('message', async (data) => {
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try {
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const fn = ${fnString};
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const result = fn(...data);
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const result = await fn(data);
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parentPort.postMessage({ success: true, data: result });
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} catch (error) {
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parentPort.postMessage({
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@ -89,49 +92,54 @@ export function executeInWorkerThread<T>(fn: Function, ...args: any[]): Promise<
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});
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}
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});
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`;
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`
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// Create a worker
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const worker = new Worker(workerScript, { eval: true });
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const worker = new Worker(workerScript, { eval: true })
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// Set up message handling
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worker.on('message', (data: { success: boolean; data: T; error?: string }) => {
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worker.terminate(); // Terminate the worker
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worker.on(
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'message',
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(data: { success: boolean; data: T; error?: string }) => {
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worker.terminate() // Terminate the worker
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if (data.success) {
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resolve(data.data);
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} else {
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reject(new Error(data.error));
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if (data.success) {
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resolve(data.data)
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} else {
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reject(new Error(data.error))
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}
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}
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});
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)
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worker.on('error', (error: Error) => {
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worker.terminate(); // Terminate the worker
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reject(error);
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});
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worker.terminate() // Terminate the worker
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reject(error)
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})
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// Start the worker
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worker.postMessage(args);
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worker.postMessage(args)
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} catch (error) {
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reject(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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/**
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* Execute a function in a separate thread based on the environment
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*
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* @param fn The function to execute
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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>(fn: Function, ...args: any[]): Promise<T> {
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export function executeInThread<T>(fnString: string, args: any): Promise<T> {
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if (isBrowser()) {
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return executeInWebWorker<T>(fn, ...args);
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return executeInWebWorker<T>(fnString, args)
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} else if (isNode()) {
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return executeInWorkerThread<T>(fn, ...args);
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return executeInWorkerThread<T>(fnString, args)
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} else {
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// Fall back to executing in the main thread
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return Promise.resolve(fn(...args) as T);
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// Parse the function from string and execute it
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const fn = new Function('return ' + fnString)()
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return Promise.resolve(fn(args) as T)
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}
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}
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