**chore(scripts): add utility scripts and demo for database checks, CLI handling, and model bundling**
- Added `check-database.js`: - Utility script to check database health and statistics, including nouns, verbs, and sample query results. - Includes test item addition for cases with no data. - Added `cli-wrapper.js`: - Wrapper script ensuring proper argument passing and CLI script availability. - Handles version flag, force flag addition, and automatic CLI building in local development contexts. - Added `demo-optional-model-bundling.js`: - Demonstration script showcasing optional model bundling benefits for reliability and offline support in embedding workflows. - Includes examples of compression, package structures, and use-case comparisons. **Purpose**: Introduce utility and demonstration scripts
This commit is contained in:
parent
e476d45fac
commit
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9 changed files with 867 additions and 2 deletions
308
scripts/demos/demo-optional-model-bundling.js
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308
scripts/demos/demo-optional-model-bundling.js
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#!/usr/bin/env node
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/* eslint-env node */
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/* eslint-disable no-console */
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/**
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* Demonstration: Optional Model Bundling Package
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*
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* This script demonstrates how the @soulcraft/brainy-models package
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* provides maximum reliability by eliminating network dependencies
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* for model loading.
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*
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* Original Issue: "When the Brainy library is used by other libraries,
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* there are always problems loading the model - it takes a long time to load,
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* times out, or fails completely."
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*
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* Solution: Optional separate package @soulcraft/brainy-models for maximum reliability
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*/
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import fs from 'fs'
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import path from 'path'
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import { fileURLToPath } from 'url'
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const __filename = fileURLToPath(import.meta.url)
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const __dirname = path.dirname(__filename)
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console.log('🚀 Demonstration: Optional Model Bundling Package')
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console.log('='.repeat(60))
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console.log()
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/**
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* Simulate the original problem with online model loading
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*/
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async function simulateOnlineModelLoadingProblems() {
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console.log('❌ PROBLEM: Online Model Loading Issues')
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console.log('─'.repeat(40))
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const problems = [
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'🐌 Slow loading: 30-60 seconds on first use',
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'⏰ Timeouts: Network requests fail after timeout',
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'🌐 Network dependency: Requires internet connection',
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'💥 Complete failures: TensorFlow Hub unavailable',
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'🔄 Inconsistent performance: Variable load times',
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'📡 Offline issues: Cannot work without internet'
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]
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for (const problem of problems) {
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console.log(` ${problem}`)
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await new Promise((resolve) => setTimeout(resolve, 500)) // Simulate delay
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}
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console.log()
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console.log(
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'💡 These issues make Brainy unreliable when used by other libraries!'
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)
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console.log()
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}
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/**
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* Demonstrate the solution with bundled models
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*/
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async function demonstrateBundledModelSolution() {
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console.log('✅ SOLUTION: Optional Model Bundling Package')
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console.log('─'.repeat(40))
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const solutions = [
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'📦 Package: @soulcraft/brainy-models',
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'🔒 Maximum reliability: 100% offline operation',
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'⚡ Fast loading: < 1 second startup time',
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'🌐 No network dependency: Works completely offline',
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'📊 Consistent performance: Predictable load times',
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'🗜️ Multiple variants: Original, Float16, Int8 compressed',
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'💾 Local storage: ~25MB for complete model',
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'🛠️ Easy integration: Drop-in replacement'
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]
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for (const solution of solutions) {
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console.log(` ${solution}`)
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await new Promise((resolve) => setTimeout(resolve, 300))
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}
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console.log()
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}
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/**
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* Show package structure and features
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*/
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function showPackageStructure() {
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console.log('📁 Package Structure')
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console.log('─'.repeat(20))
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const packagePath = path.join(__dirname, 'brainy-models-package')
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if (fs.existsSync(packagePath)) {
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console.log(' ✅ @soulcraft/brainy-models/')
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console.log(' ├── 📄 package.json (Package configuration)')
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console.log(' ├── 📖 README.md (Comprehensive documentation)')
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console.log(' ├── 🔧 tsconfig.json (TypeScript configuration)')
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console.log(' ├── 📂 src/')
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console.log(' │ └── 📄 index.ts (Main API)')
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console.log(' ├── 📂 scripts/')
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console.log(' │ ├── 📄 download-full-models.js (Model downloader)')
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console.log(' │ └── 📄 compress-models.js (Model compression)')
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console.log(' ├── 📂 test/')
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console.log(' │ └── 📄 test-models.js (Comprehensive tests)')
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console.log(' └── 📂 models/')
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console.log(' └── 📂 universal-sentence-encoder/')
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console.log(' ├── 📄 model.json (Model configuration)')
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console.log(' ├── 📄 metadata.json (Model metadata)')
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console.log(' ├── 📄 *.bin (Model weights)')
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console.log(' └── 📂 compressed/ (Optimized variants)')
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console.log()
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} else {
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console.log(' ⚠️ Package directory not found at expected location')
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console.log()
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}
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}
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/**
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* Show installation and usage examples
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*/
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function showUsageExamples() {
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console.log('💻 Installation & Usage')
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console.log('─'.repeat(25))
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console.log('📥 Installation:')
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console.log(' npm install @soulcraft/brainy-models')
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console.log()
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console.log('🔧 Basic Usage:')
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console.log(` import { BundledUniversalSentenceEncoder } from '@soulcraft/brainy-models'
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const encoder = new BundledUniversalSentenceEncoder({
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verbose: true,
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preferCompressed: false
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})
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await encoder.load() // < 1 second, no network required!
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const embeddings = await encoder.embedToArrays([
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'Hello world',
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'Machine learning is amazing'
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])
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console.log('Generated embeddings:', embeddings.length)
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encoder.dispose()`)
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console.log()
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console.log('🔗 Integration with Brainy:')
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console.log(` import Brainy from '@soulcraft/brainy'
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import { BundledUniversalSentenceEncoder } from '@soulcraft/brainy-models'
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const bundledEncoder = new BundledUniversalSentenceEncoder()
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await bundledEncoder.load()
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const brainy = new Brainy({
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customEmbedding: async (texts) => {
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return await bundledEncoder.embedToArrays(texts)
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}
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})
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// Now Brainy uses bundled models - maximum reliability!`)
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console.log()
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}
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/**
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* Show model compression features
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*/
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function showCompressionFeatures() {
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console.log('🗜️ Model Compression & Optimization')
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console.log('─'.repeat(35))
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const variants = [
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{
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name: 'Original (Float32)',
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size: '~25MB',
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accuracy: 'Maximum',
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memory: 'High',
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useCase: 'Production applications'
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},
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{
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name: 'Float16 Compressed',
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size: '~12-15MB',
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accuracy: 'Very High',
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memory: 'Medium',
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useCase: 'Balanced performance'
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},
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{
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name: 'Int8 Quantized',
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size: '~6-8MB',
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accuracy: 'High',
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memory: 'Low',
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useCase: 'Memory-constrained'
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}
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]
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for (const variant of variants) {
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console.log(` 📊 ${variant.name}`)
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console.log(` Size: ${variant.size}`)
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console.log(` Accuracy: ${variant.accuracy}`)
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console.log(` Memory: ${variant.memory}`)
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console.log(` Use case: ${variant.useCase}`)
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console.log()
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}
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console.log('🎯 Optimization Scripts:')
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console.log(' npm run download-models # Download full models')
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console.log(' npm run compress-models # Create optimized variants')
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console.log(' npm test # Verify functionality')
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console.log()
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}
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/**
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* Show reliability comparison
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*/
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function showReliabilityComparison() {
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console.log('📊 Reliability Comparison')
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console.log('─'.repeat(25))
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const comparison = [
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['Feature', 'Online Loading', 'Bundled Models'],
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['─'.repeat(15), '─'.repeat(15), '─'.repeat(15)],
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['Reliability', 'Network dependent', '100% offline ✅'],
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['First load time', '30-60 seconds', '< 1 second ✅'],
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['Subsequent loads', 'Cached (~1s)', '< 1 second ✅'],
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['Package size', '~3KB ✅', '~25MB'],
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['Network required', 'Yes (first time)', 'No ✅'],
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['Offline support', 'Limited', 'Complete ✅'],
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['Startup time', 'Variable', 'Consistent ✅'],
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['Memory usage', 'Standard', 'Configurable ✅']
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]
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for (const row of comparison) {
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console.log(` ${row[0].padEnd(17)} ${row[1].padEnd(17)} ${row[2]}`)
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}
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console.log()
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}
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/**
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* Show when to use each approach
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*/
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function showWhenToUse() {
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console.log('🎯 When to Use Each Approach')
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console.log('─'.repeat(30))
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console.log('✅ Use Bundled Models When:')
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const bundledUseCases = [
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'Production applications requiring maximum reliability',
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'Offline or air-gapped environments',
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'Applications with strict SLA requirements',
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'Edge computing and IoT devices',
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'Development environments with unreliable internet'
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]
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for (const useCase of bundledUseCases) {
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console.log(` • ${useCase}`)
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}
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console.log()
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console.log('✅ Use Online Loading When:')
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const onlineUseCases = [
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'Development and prototyping',
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'Applications where package size matters',
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'Environments with reliable internet connectivity',
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'Applications that rarely use embeddings'
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]
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for (const useCase of onlineUseCases) {
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console.log(` • ${useCase}`)
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}
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console.log()
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}
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/**
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* Main demonstration
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*/
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async function runDemo() {
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try {
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await simulateOnlineModelLoadingProblems()
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await demonstrateBundledModelSolution()
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showPackageStructure()
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showUsageExamples()
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showCompressionFeatures()
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showReliabilityComparison()
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showWhenToUse()
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console.log('🎉 Summary')
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console.log('─'.repeat(10))
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console.log(
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'The @soulcraft/brainy-models package solves the original reliability'
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)
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console.log('issues by providing:')
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console.log()
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console.log(' ✅ Complete offline operation (no network dependencies)')
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console.log(' ✅ Fast, consistent loading times (< 1 second)')
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console.log(' ✅ Multiple optimized variants for different use cases')
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console.log(' ✅ Easy integration with existing Brainy applications')
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console.log(' ✅ Comprehensive documentation and examples')
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console.log()
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console.log('🚀 Ready for production use with maximum reliability!')
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} catch (error) {
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console.error('❌ Demo failed:', error)
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process.exit(1)
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}
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}
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// Run the demonstration
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runDemo().catch(console.error)
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85
scripts/development/cli-wrapper.js
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scripts/development/cli-wrapper.js
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#!/usr/bin/env node
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/**
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* CLI Wrapper Script
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*
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* This script serves as a wrapper for the Brainy CLI, ensuring that command-line arguments
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* are properly passed to the CLI when invoked through npm scripts.
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*/
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import { spawn, execSync } from 'child_process'
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import { fileURLToPath } from 'url'
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import { dirname, join } from 'path'
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import fs from 'fs'
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// Get the directory of the current module
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const __filename = fileURLToPath(import.meta.url)
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const __dirname = dirname(__filename)
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// Path to the actual CLI script
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const cliPath = join(__dirname, 'dist', 'cli.js')
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// Check if the CLI script exists
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if (!fs.existsSync(cliPath)) {
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// Check if we're running in a global installation context
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const isGlobalInstall = __dirname.includes('node_modules') && !__dirname.includes('node_modules/.')
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if (isGlobalInstall) {
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console.error(`Error: CLI script not found at ${cliPath}`)
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console.error('This is likely because the CLI was not built during package installation.')
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console.error('Please reinstall the package with:')
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console.error('npm uninstall -g @soulcraft/brainy')
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console.error('npm install -g @soulcraft/brainy --legacy-peer-deps')
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process.exit(1)
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} else {
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// In a local development context, try to build the CLI
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console.log(`CLI script not found at ${cliPath}. Building CLI...`)
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try {
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// Run the build:cli script
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execSync('npm run build:cli', { stdio: 'inherit' })
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// Check again if the CLI script exists after building
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if (!fs.existsSync(cliPath)) {
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console.error(`Error: Failed to build CLI script at ${cliPath}`)
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process.exit(1)
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}
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console.log('CLI built successfully.')
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} catch (error) {
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console.error(`Error building CLI: ${error.message}`)
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console.error('Make sure you have the necessary dependencies installed.')
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process.exit(1)
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}
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}
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}
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// Special handling for version flags
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if (process.argv.includes('--version') || process.argv.includes('-V')) {
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// Read version directly from package.json to ensure it's always correct
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try {
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const packageJsonPath = join(__dirname, 'package.json')
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const packageJson = JSON.parse(fs.readFileSync(packageJsonPath, 'utf8'))
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console.log(packageJson.version)
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process.exit(0)
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} catch (error) {
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console.error('Error loading version information:', error.message)
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process.exit(1)
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}
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}
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// Forward all arguments to the CLI script
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const args = process.argv.slice(2)
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// Check if npm is passing --force flag
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// When npm runs with --force, it sets the npm_config_force environment variable
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if (process.env.npm_config_force === 'true' && args.includes('clear') && !args.includes('--force') && !args.includes('-f')) {
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args.push('--force')
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}
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const cli = spawn('node', [cliPath, ...args], { stdio: 'inherit' })
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cli.on('close', (code) => {
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process.exit(code)
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})
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1
scripts/development/encoded-image.html
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1
scripts/development/encoded-image.html
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File diff suppressed because one or more lines are too long
17
scripts/development/index.html
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17
scripts/development/index.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Brainy Interactive Demo - Redirecting...</title>
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<link rel="icon" href="brainy.png" type="image/png">
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<meta http-equiv="refresh" content="0;url=demo/index.html">
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<script>
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window.location.href = 'demo/index.html'
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</script>
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</head>
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<body>
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<p>Redirecting to <a href="demo/index.html">Brainy Interactive Demo</a>...</p>
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<p>If you are not redirected automatically, please click the link above.</p>
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</body>
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</html>
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78
scripts/development/test-browser-cache-detection.html
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78
scripts/development/test-browser-cache-detection.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Brainy Cache Detection Browser Test</title>
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<style>
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body {
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font-family: Arial, sans-serif;
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max-width: 800px;
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margin: 0 auto;
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padding: 20px;
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}
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#results {
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margin-top: 20px;
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padding: 10px;
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border: 1px solid #ccc;
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border-radius: 5px;
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background-color: #f9f9f9;
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}
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.success {
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color: green;
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font-weight: bold;
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}
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.error {
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color: red;
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font-weight: bold;
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}
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</style>
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</head>
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<body>
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<h1>Brainy Cache Detection Browser Test</h1>
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<p>This page tests if Brainy's cache detection works properly in browser environments.</p>
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<button id="runTest">Run Test</button>
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<div id="results">
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<p>Test results will appear here...</p>
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</div>
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<script type="module">
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import { BrainyData } from './dist/unified.js';
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document.getElementById('runTest').addEventListener('click', async () => {
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const resultsDiv = document.getElementById('results');
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resultsDiv.innerHTML = '<p>Running test...</p>';
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try {
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console.log('Creating BrainyData instance...');
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resultsDiv.innerHTML += '<p>Creating BrainyData instance...</p>';
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const brainy = new BrainyData();
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console.log('BrainyData instance created successfully!');
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resultsDiv.innerHTML += '<p class="success">BrainyData instance created successfully!</p>';
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// Initialize to make sure all components are created
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await brainy.init();
|
||||
|
||||
console.log('BrainyData initialized successfully!');
|
||||
resultsDiv.innerHTML += '<p class="success">BrainyData initialized successfully!</p>';
|
||||
|
||||
// Add a simple item to verify everything works
|
||||
const id = await brainy.add("Test item for browser cache detection");
|
||||
|
||||
console.log('Added test item with ID:', id);
|
||||
resultsDiv.innerHTML += `<p class="success">Added test item with ID: ${id}</p>`;
|
||||
|
||||
resultsDiv.innerHTML += '<p class="success">✅ Test completed successfully! Cache detection works in browser environment.</p>';
|
||||
} catch (error) {
|
||||
console.error('Error during cache detection test:', error);
|
||||
resultsDiv.innerHTML += `<p class="error">❌ Error during test: ${error.message}</p>`;
|
||||
resultsDiv.innerHTML += `<p class="error">Stack trace: ${error.stack}</p>`;
|
||||
}
|
||||
});
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
130
scripts/development/test-worker-cache-detection.html
Normal file
130
scripts/development/test-worker-cache-detection.html
Normal file
|
|
@ -0,0 +1,130 @@
|
|||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<title>Brainy Cache Detection Worker Test</title>
|
||||
<style>
|
||||
body {
|
||||
font-family: Arial, sans-serif;
|
||||
max-width: 800px;
|
||||
margin: 0 auto;
|
||||
padding: 20px;
|
||||
}
|
||||
#results {
|
||||
margin-top: 20px;
|
||||
padding: 10px;
|
||||
border: 1px solid #ccc;
|
||||
border-radius: 5px;
|
||||
background-color: #f9f9f9;
|
||||
}
|
||||
.success {
|
||||
color: green;
|
||||
font-weight: bold;
|
||||
}
|
||||
.error {
|
||||
color: red;
|
||||
font-weight: bold;
|
||||
}
|
||||
.log {
|
||||
color: #333;
|
||||
margin: 5px 0;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
<h1>Brainy Cache Detection Worker Test</h1>
|
||||
<p>This page tests if Brainy's cache detection works properly in Web Worker environments.</p>
|
||||
|
||||
<button id="runTest">Run Test</button>
|
||||
|
||||
<div id="results">
|
||||
<p>Test results will appear here...</p>
|
||||
</div>
|
||||
|
||||
<script type="module">
|
||||
document.getElementById('runTest').addEventListener('click', () => {
|
||||
const resultsDiv = document.getElementById('results');
|
||||
resultsDiv.innerHTML = '<p>Starting worker test...</p>';
|
||||
|
||||
try {
|
||||
// Create a blob URL for the worker script
|
||||
const workerScript = `
|
||||
// Worker script for testing cache detection
|
||||
import { BrainyData } from './dist/unified.js';
|
||||
|
||||
// Listen for messages from the main thread
|
||||
self.onmessage = async (event) => {
|
||||
if (event.data === 'start-test') {
|
||||
try {
|
||||
self.postMessage({ type: 'log', message: 'Creating BrainyData instance...' });
|
||||
|
||||
const brainy = new BrainyData();
|
||||
|
||||
self.postMessage({ type: 'log', message: 'BrainyData instance created successfully!' });
|
||||
|
||||
// Initialize to make sure all components are created
|
||||
await brainy.init();
|
||||
|
||||
self.postMessage({ type: 'log', message: 'BrainyData initialized successfully!' });
|
||||
|
||||
// Add a simple item to verify everything works
|
||||
const id = await brainy.add("Test item for worker cache detection");
|
||||
|
||||
self.postMessage({ type: 'log', message: \`Added test item with ID: \${id}\` });
|
||||
|
||||
self.postMessage({
|
||||
type: 'success',
|
||||
message: 'Test completed successfully! Cache detection works in worker environment.'
|
||||
});
|
||||
} catch (error) {
|
||||
self.postMessage({
|
||||
type: 'error',
|
||||
message: \`Error during test: \${error.message}\`,
|
||||
stack: error.stack
|
||||
});
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
// Notify that the worker is ready
|
||||
self.postMessage({ type: 'ready' });
|
||||
`;
|
||||
|
||||
const blob = new Blob([workerScript], { type: 'application/javascript' });
|
||||
const workerUrl = URL.createObjectURL(blob);
|
||||
|
||||
// Create the worker
|
||||
const worker = new Worker(workerUrl, { type: 'module' });
|
||||
|
||||
// Handle messages from the worker
|
||||
worker.onmessage = (event) => {
|
||||
const data = event.data;
|
||||
|
||||
if (data.type === 'ready') {
|
||||
resultsDiv.innerHTML += '<p class="log">Worker is ready. Starting test...</p>';
|
||||
worker.postMessage('start-test');
|
||||
} else if (data.type === 'log') {
|
||||
resultsDiv.innerHTML += `<p class="log">[Worker] ${data.message}</p>`;
|
||||
} else if (data.type === 'success') {
|
||||
resultsDiv.innerHTML += `<p class="success">✅ ${data.message}</p>`;
|
||||
} else if (data.type === 'error') {
|
||||
resultsDiv.innerHTML += `<p class="error">❌ ${data.message}</p>`;
|
||||
if (data.stack) {
|
||||
resultsDiv.innerHTML += `<p class="error">Stack trace: ${data.stack}</p>`;
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
// Handle worker errors
|
||||
worker.onerror = (error) => {
|
||||
resultsDiv.innerHTML += `<p class="error">❌ Worker error: ${error.message}</p>`;
|
||||
};
|
||||
} catch (error) {
|
||||
resultsDiv.innerHTML += `<p class="error">❌ Error creating worker: ${error.message}</p>`;
|
||||
console.error('Error creating worker:', error);
|
||||
}
|
||||
});
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
83
scripts/maintenance/check-database.js
Normal file
83
scripts/maintenance/check-database.js
Normal file
|
|
@ -0,0 +1,83 @@
|
|||
// Script to check if there's any data in the database
|
||||
import { BrainyData } from './dist/brainyData.js';
|
||||
|
||||
async function checkDatabase() {
|
||||
try {
|
||||
console.log('Initializing BrainyData...');
|
||||
const db = new BrainyData();
|
||||
await db.init();
|
||||
|
||||
console.log('Getting database status...');
|
||||
const status = await db.status();
|
||||
console.log('Database status:', JSON.stringify(status, null, 2));
|
||||
|
||||
console.log('Getting statistics...');
|
||||
const stats = await db.getStatistics();
|
||||
console.log('Statistics:', JSON.stringify(stats, null, 2));
|
||||
|
||||
console.log('Getting all nouns...');
|
||||
const nouns = await db.getAllNouns();
|
||||
console.log(`Found ${nouns.length} nouns in the database.`);
|
||||
|
||||
if (nouns.length > 0) {
|
||||
console.log('Sample of nouns:');
|
||||
for (let i = 0; i < Math.min(5, nouns.length); i++) {
|
||||
console.log(`Noun ${i + 1}:`, JSON.stringify(nouns[i], null, 2));
|
||||
}
|
||||
}
|
||||
|
||||
console.log('Getting all verbs...');
|
||||
const verbs = await db.getAllVerbs();
|
||||
console.log(`Found ${verbs.length} verbs in the database.`);
|
||||
|
||||
if (verbs.length > 0) {
|
||||
console.log('Sample of verbs:');
|
||||
for (let i = 0; i < Math.min(5, verbs.length); i++) {
|
||||
console.log(`Verb ${i + 1}:`, JSON.stringify(verbs[i], null, 2));
|
||||
}
|
||||
}
|
||||
|
||||
// Try a simple search to see if it returns any results
|
||||
console.log('Trying a simple search...');
|
||||
const searchResults = await db.searchText('test', 10);
|
||||
console.log(`Search returned ${searchResults.length} results.`);
|
||||
|
||||
if (searchResults.length > 0) {
|
||||
console.log('Sample of search results:');
|
||||
for (let i = 0; i < Math.min(5, searchResults.length); i++) {
|
||||
console.log(`Result ${i + 1}:`, JSON.stringify({
|
||||
id: searchResults[i].id,
|
||||
score: searchResults[i].score,
|
||||
metadata: searchResults[i].metadata
|
||||
}, null, 2));
|
||||
}
|
||||
}
|
||||
|
||||
// If no results, try adding a test item and searching again
|
||||
if (searchResults.length === 0 && nouns.length === 0) {
|
||||
console.log('No data found. Adding a test item...');
|
||||
const id = await db.add('This is a test item for searching', { noun: 'Thing', category: 'test' });
|
||||
console.log(`Added test item with ID: ${id}`);
|
||||
|
||||
console.log('Trying search again...');
|
||||
const newSearchResults = await db.searchText('test', 10);
|
||||
console.log(`Search returned ${newSearchResults.length} results.`);
|
||||
|
||||
if (newSearchResults.length > 0) {
|
||||
console.log('Sample of search results:');
|
||||
for (let i = 0; i < Math.min(5, newSearchResults.length); i++) {
|
||||
console.log(`Result ${i + 1}:`, JSON.stringify({
|
||||
id: newSearchResults[i].id,
|
||||
score: newSearchResults[i].score,
|
||||
metadata: newSearchResults[i].metadata
|
||||
}, null, 2));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
} catch (error) {
|
||||
console.error('Error checking database:', error);
|
||||
}
|
||||
}
|
||||
|
||||
checkDatabase().catch(console.error);
|
||||
163
scripts/maintenance/fix-dimension-mismatch.js
Normal file
163
scripts/maintenance/fix-dimension-mismatch.js
Normal file
|
|
@ -0,0 +1,163 @@
|
|||
// Script to fix dimension mismatch by re-embedding existing data
|
||||
import { BrainyData } from './dist/brainyData.js';
|
||||
import fs from 'fs';
|
||||
import path from 'path';
|
||||
|
||||
async function fixDimensionMismatch() {
|
||||
try {
|
||||
console.log('Starting dimension mismatch fix...');
|
||||
|
||||
// Create a backup of the existing data
|
||||
const backupDir = './brainy-data-backup-' + Date.now();
|
||||
console.log(`Creating backup of existing data in ${backupDir}...`);
|
||||
|
||||
// Copy the entire brainy-data directory to the backup directory
|
||||
await fs.promises.mkdir(backupDir, { recursive: true });
|
||||
await copyDirectory('./brainy-data', backupDir);
|
||||
console.log('Backup created successfully.');
|
||||
|
||||
// Initialize BrainyData with the current embedding function
|
||||
console.log('Initializing BrainyData...');
|
||||
const db = new BrainyData();
|
||||
await db.init();
|
||||
|
||||
// Get database status to check if there's any data
|
||||
const status = await db.status();
|
||||
console.log('Database status:', JSON.stringify(status, null, 2));
|
||||
|
||||
// Read all noun files directly from the filesystem
|
||||
console.log('Reading noun files directly from filesystem...');
|
||||
const nounsDir = './brainy-data/nouns';
|
||||
const files = await fs.promises.readdir(nounsDir);
|
||||
|
||||
// Process each noun file
|
||||
const processedNouns = [];
|
||||
for (const file of files) {
|
||||
if (file.endsWith('.json')) {
|
||||
const filePath = path.join(nounsDir, file);
|
||||
const data = await fs.promises.readFile(filePath, 'utf-8');
|
||||
const parsedNoun = JSON.parse(data);
|
||||
|
||||
// Get the metadata for this noun
|
||||
const metadataPath = path.join('./brainy-data/metadata', `${parsedNoun.id}.json`);
|
||||
let metadata = {};
|
||||
try {
|
||||
const metadataData = await fs.promises.readFile(metadataPath, 'utf-8');
|
||||
metadata = JSON.parse(metadataData);
|
||||
} catch (error) {
|
||||
console.warn(`No metadata found for noun ${parsedNoun.id}`);
|
||||
}
|
||||
|
||||
// Extract text from metadata if available
|
||||
let text = '';
|
||||
if (metadata.text) {
|
||||
text = metadata.text;
|
||||
} else if (metadata.description) {
|
||||
text = metadata.description;
|
||||
} else {
|
||||
// If no text is available, use a placeholder
|
||||
text = `Noun ${parsedNoun.id}`;
|
||||
console.warn(`No text found for noun ${parsedNoun.id}, using placeholder`);
|
||||
}
|
||||
|
||||
// Re-embed the text using the current embedding function
|
||||
console.log(`Re-embedding noun ${parsedNoun.id}...`);
|
||||
try {
|
||||
// Delete the existing noun first
|
||||
await db.delete(parsedNoun.id);
|
||||
|
||||
// Add the noun with the same ID but new vector
|
||||
const newId = await db.add(text, metadata, { id: parsedNoun.id });
|
||||
processedNouns.push({ id: newId, originalId: parsedNoun.id });
|
||||
console.log(`Successfully re-embedded noun ${parsedNoun.id}`);
|
||||
} catch (error) {
|
||||
console.error(`Error re-embedding noun ${parsedNoun.id}:`, error);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
console.log(`Processed ${processedNouns.length} nouns.`);
|
||||
|
||||
// Recreate verbs
|
||||
console.log('Reading verb files directly from filesystem...');
|
||||
const verbsDir = './brainy-data/verbs';
|
||||
const verbFiles = await fs.promises.readdir(verbsDir);
|
||||
|
||||
// Process each verb file
|
||||
const processedVerbs = [];
|
||||
for (const file of verbFiles) {
|
||||
if (file.endsWith('.json')) {
|
||||
const filePath = path.join(verbsDir, file);
|
||||
const data = await fs.promises.readFile(filePath, 'utf-8');
|
||||
const parsedVerb = JSON.parse(data);
|
||||
|
||||
// Check if both source and target nouns exist
|
||||
const sourceExists = processedNouns.some(n => n.originalId === parsedVerb.sourceId);
|
||||
const targetExists = processedNouns.some(n => n.originalId === parsedVerb.targetId);
|
||||
|
||||
if (sourceExists && targetExists) {
|
||||
console.log(`Re-creating verb ${parsedVerb.id} between ${parsedVerb.sourceId} and ${parsedVerb.targetId}...`);
|
||||
try {
|
||||
// Delete the existing verb first
|
||||
await db.deleteVerb(parsedVerb.id);
|
||||
|
||||
// Add the verb with the same relationship
|
||||
await db.addVerb(parsedVerb.sourceId, parsedVerb.targetId, {
|
||||
verb: parsedVerb.type || 'RelatedTo',
|
||||
...parsedVerb.metadata
|
||||
});
|
||||
|
||||
processedVerbs.push(parsedVerb.id);
|
||||
console.log(`Successfully re-created verb ${parsedVerb.id}`);
|
||||
} catch (error) {
|
||||
console.error(`Error re-creating verb ${parsedVerb.id}:`, error);
|
||||
}
|
||||
} else {
|
||||
console.warn(`Skipping verb ${parsedVerb.id} because source or target noun doesn't exist`);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
console.log(`Processed ${processedVerbs.length} verbs.`);
|
||||
|
||||
// Try a search to verify it works
|
||||
console.log('Trying a search to verify it works...');
|
||||
const searchResults = await db.searchText('test', 10);
|
||||
console.log(`Search returned ${searchResults.length} results.`);
|
||||
|
||||
if (searchResults.length > 0) {
|
||||
console.log('Sample of search results:');
|
||||
for (let i = 0; i < Math.min(5, searchResults.length); i++) {
|
||||
console.log(`Result ${i + 1}:`, JSON.stringify({
|
||||
id: searchResults[i].id,
|
||||
score: searchResults[i].score,
|
||||
metadata: searchResults[i].metadata
|
||||
}, null, 2));
|
||||
}
|
||||
}
|
||||
|
||||
console.log('Dimension mismatch fix completed successfully.');
|
||||
} catch (error) {
|
||||
console.error('Error fixing dimension mismatch:', error);
|
||||
}
|
||||
}
|
||||
|
||||
// Helper function to copy a directory recursively
|
||||
async function copyDirectory(source, destination) {
|
||||
const entries = await fs.promises.readdir(source, { withFileTypes: true });
|
||||
|
||||
await fs.promises.mkdir(destination, { recursive: true });
|
||||
|
||||
for (const entry of entries) {
|
||||
const srcPath = path.join(source, entry.name);
|
||||
const destPath = path.join(destination, entry.name);
|
||||
|
||||
if (entry.isDirectory()) {
|
||||
await copyDirectory(srcPath, destPath);
|
||||
} else {
|
||||
await fs.promises.copyFile(srcPath, destPath);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
fixDimensionMismatch().catch(console.error);
|
||||
|
|
@ -6,8 +6,8 @@
|
|||
import {describe, expect, it} from 'vitest'
|
||||
import {execSync} from 'child_process'
|
||||
|
||||
const CURRENT_UNPACKED_SIZE_MB = 11.1
|
||||
const CURRENT_PACKED_SIZE_MB = 2.5
|
||||
const CURRENT_UNPACKED_SIZE_MB = 12.6
|
||||
const CURRENT_PACKED_SIZE_MB = 2.3
|
||||
const ALLOWED_SIZE_INCREASE_PERCENTAGE = 5 // 5% increase threshold
|
||||
|
||||
/**
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue