/** * Shared test utilities for all Brainy tests */ import { Vector } from '../src/coreTypes.js' /** * Mock embedding function for tests * Returns a deterministic vector based on input string */ export function createMockEmbeddingFunction(dimensions: number = 384) { return async (input: string | any): Promise => { // Create a deterministic vector based on input const vector = new Array(dimensions).fill(0) if (typeof input === 'string') { // Use string hash to generate deterministic values let hash = 0 for (let i = 0; i < input.length; i++) { hash = ((hash << 5) - hash) + input.charCodeAt(i) hash = hash & hash // Convert to 32bit integer } // Fill vector with deterministic values for (let i = 0; i < dimensions; i++) { vector[i] = Math.sin(hash * (i + 1)) * 0.5 + 0.5 } } else if (Array.isArray(input) && input.every(x => typeof x === 'number')) { // Already a vector, just return it (padded/truncated to dimensions) return input.slice(0, dimensions).concat(new Array(Math.max(0, dimensions - input.length)).fill(0)) } return vector } } /** * Create a test BrainyData configuration with mocked embedding */ export function createTestConfig(additionalConfig: any = {}) { return { embeddingFunction: createMockEmbeddingFunction(), ...additionalConfig } } /** * Wait for async operations to complete */ export async function waitForAsync(ms: number = 10): Promise { return new Promise(resolve => setTimeout(resolve, ms)) } /** * Mock S3 response body helper */ export function createMockS3Body(data: any): any { const jsonString = JSON.stringify(data) return { transformToString: async () => jsonString, transformToByteArray: async () => new TextEncoder().encode(jsonString), transformToWebStream: () => new ReadableStream({ start(controller) { controller.enqueue(new TextEncoder().encode(jsonString)) controller.close() } }) } }