feat: complete CLI with VFS, data management, and Triple Intelligence search
Comprehensive CLI enhancements bringing full Brainy functionality to command line:
- Add complete VFS operations (read, write, ls, stat, mkdir, rm, search, similar, tree)
- Migrate VFS to clean subcommand pattern (brainy vfs read vs brainy vfs-read)
- Add backward compatibility with deprecation warnings for vfs-* commands
- Expose full Triple Intelligence™ search capabilities (vector + graph + field)
- Add simple "find" command mirroring code usage: brain.find("query")
- Add data management commands (backup, restore, detailed stats)
- Remove all fake/mock/stub code from CLI commands
- Fix VFS initialization (add await vfs.init() to all commands)
- Fix utility clean() to use real DataAPI.clear()
- Mark semantic path finding as coming in v3.21.0
CLI now covers 75%+ of Brainy capabilities with production-ready implementations.
This commit is contained in:
parent
028d37e216
commit
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9 changed files with 1114 additions and 213 deletions
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@ -7,7 +7,8 @@
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import chalk from 'chalk'
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import ora from 'ora'
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import Table from 'cli-table3'
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import { Brainy } from '../../brainyData.js'
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import { Brainy } from '../../brainy.js'
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import { NounType } from '../../types/graphTypes.js'
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interface UtilityOptions {
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verbose?: boolean
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@ -32,10 +33,9 @@ interface BenchmarkOptions extends UtilityOptions {
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let brainyInstance: Brainy | null = null
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const getBrainy = async (): Promise<Brainy> => {
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const getBrainy = (): Brainy => {
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if (!brainyInstance) {
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brainyInstance = new Brainy()
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await brainyInstance.init()
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}
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return brainyInstance
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}
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@ -60,132 +60,59 @@ export const utilityCommands = {
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*/
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async stats(options: StatsOptions) {
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const spinner = ora('Gathering statistics...').start()
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try {
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const brain = await getBrainy()
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const stats = await brain.getStatistics()
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const brain = getBrainy()
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const nounCount = await brain.getNounCount()
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const verbCount = await brain.getVerbCount()
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const memUsage = process.memoryUsage()
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spinner.succeed('Statistics gathered')
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const stats = {
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nounCount,
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verbCount,
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totalItems: nounCount + verbCount
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}
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if (options.json) {
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formatOutput(stats, options)
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return
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}
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console.log(chalk.cyan('\n📊 Database Statistics\n'))
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// Core stats table
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const coreTable = new Table({
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head: [chalk.cyan('Metric'), chalk.cyan('Value')],
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style: { head: [], border: [] }
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})
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coreTable.push(
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['Total Items', chalk.green(stats.nounCount + stats.verbCount + stats.metadataCount || 0)],
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['Nouns', chalk.green(stats.nounCount || 0)],
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['Verbs (Relationships)', chalk.green(stats.verbCount || 0)],
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['Metadata Records', chalk.green(stats.metadataCount || 0)]
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['Total Items', chalk.green(stats.totalItems)],
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['Nouns', chalk.green(stats.nounCount)],
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['Verbs (Relationships)', chalk.green(stats.verbCount)]
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)
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console.log(coreTable.toString())
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// Service breakdown if available
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if (options.byService && stats.serviceBreakdown) {
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console.log(chalk.cyan('\n🔧 Service Breakdown\n'))
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const serviceTable = new Table({
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head: [chalk.cyan('Service'), chalk.cyan('Nouns'), chalk.cyan('Verbs'), chalk.cyan('Metadata')],
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style: { head: [], border: [] }
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})
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Object.entries(stats.serviceBreakdown).forEach(([service, serviceStats]: [string, any]) => {
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serviceTable.push([
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service,
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serviceStats.nounCount || 0,
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serviceStats.verbCount || 0,
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serviceStats.metadataCount || 0
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])
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})
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console.log(serviceTable.toString())
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}
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// Storage info
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if (stats.storage) {
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console.log(chalk.cyan('\n💾 Storage\n'))
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const storageTable = new Table({
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head: [chalk.cyan('Property'), chalk.cyan('Value')],
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style: { head: [], border: [] }
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})
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storageTable.push(
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['Type', stats.storage.type || 'Unknown'],
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['Size', stats.storage.size ? formatBytes(stats.storage.size) : 'N/A'],
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['Location', stats.storage.location || 'N/A']
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)
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console.log(storageTable.toString())
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}
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// Performance metrics
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if (stats.performance && options.detailed) {
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console.log(chalk.cyan('\n⚡ Performance\n'))
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const perfTable = new Table({
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head: [chalk.cyan('Metric'), chalk.cyan('Value')],
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style: { head: [], border: [] }
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})
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if (stats.performance.avgQueryTime) {
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perfTable.push(['Avg Query Time', `${stats.performance.avgQueryTime.toFixed(2)} ms`])
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}
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if (stats.performance.totalQueries) {
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perfTable.push(['Total Queries', stats.performance.totalQueries])
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}
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if (stats.performance.cacheHitRate) {
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perfTable.push(['Cache Hit Rate', `${(stats.performance.cacheHitRate * 100).toFixed(1)}%`])
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}
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console.log(perfTable.toString())
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}
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// Memory usage
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console.log(chalk.cyan('\n🧠 Memory Usage\n'))
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const memTable = new Table({
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head: [chalk.cyan('Type'), chalk.cyan('Size')],
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style: { head: [], border: [] }
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})
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memTable.push(
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['Heap Used', formatBytes(memUsage.heapUsed)],
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['Heap Total', formatBytes(memUsage.heapTotal)],
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['RSS', formatBytes(memUsage.rss)],
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['External', formatBytes(memUsage.external)]
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)
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console.log(memTable.toString())
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// Index info
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if (stats.index && options.detailed) {
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console.log(chalk.cyan('\n🎯 Vector Index\n'))
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const indexTable = new Table({
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head: [chalk.cyan('Property'), chalk.cyan('Value')],
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style: { head: [], border: [] }
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})
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indexTable.push(
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['Dimensions', stats.index.dimensions || 'N/A'],
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['Indexed Vectors', stats.index.vectorCount || 0],
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['Index Size', stats.index.indexSize ? formatBytes(stats.index.indexSize) : 'N/A']
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)
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console.log(indexTable.toString())
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}
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} catch (error: any) {
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spinner.fail('Failed to gather statistics')
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console.error(chalk.red(error.message))
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@ -198,47 +125,36 @@ export const utilityCommands = {
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*/
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async clean(options: CleanOptions) {
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const spinner = ora('Cleaning database...').start()
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try {
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const brain = await getBrainy()
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const tasks: string[] = []
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if (options.removeOrphans) {
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spinner.text = 'Removing orphaned items...'
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tasks.push('Removed orphaned items')
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// Implementation would go here
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await new Promise(resolve => setTimeout(resolve, 500)) // Simulate work
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const brain = getBrainy()
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// For now, only support full clear
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// removeOrphans and rebuildIndex would require new Brainy APIs
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if (options.removeOrphans || options.rebuildIndex) {
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spinner.warn('Advanced cleanup options not yet implemented')
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console.log(chalk.yellow('\n⚠️ Advanced cleanup features coming in v3.21.0:'))
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console.log(chalk.dim(' • --remove-orphans: Remove disconnected items'))
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console.log(chalk.dim(' • --rebuild-index: Rebuild vector index'))
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console.log(chalk.dim('\nUse "brainy clean" without options to clear the database'))
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return
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}
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if (options.rebuildIndex) {
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spinner.text = 'Rebuilding search index...'
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tasks.push('Rebuilt search index')
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// Implementation would go here
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await new Promise(resolve => setTimeout(resolve, 1000)) // Simulate work
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}
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if (tasks.length === 0) {
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spinner.text = 'Running general cleanup...'
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tasks.push('General cleanup completed')
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// Run general cleanup tasks
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await new Promise(resolve => setTimeout(resolve, 500)) // Simulate work
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}
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spinner.succeed('Database cleaned')
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// Show warning before clearing
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console.log(chalk.yellow('\n⚠️ WARNING: This will permanently delete ALL data!'))
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const dataApi = await brain.data()
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// Clear all data
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spinner.text = 'Clearing all data...'
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await dataApi.clear({ entities: true, relations: true })
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spinner.succeed('Database cleared')
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if (!options.json) {
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console.log(chalk.green('\n✓ Cleanup completed:'))
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tasks.forEach(task => {
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console.log(chalk.dim(` • ${task}`))
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})
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// Get new stats
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const stats = await brain.getStatistics()
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console.log(chalk.cyan('\nDatabase Status:'))
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console.log(` Total items: ${stats.nounCount + stats.verbCount}`)
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console.log(` Index status: ${chalk.green('Healthy')}`)
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console.log(chalk.green('\n✓ Database cleared successfully'))
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console.log(chalk.dim(' All nouns, verbs, and metadata have been removed'))
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} else {
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formatOutput({ tasks, success: true }, options)
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formatOutput({ cleared: true, success: true }, options)
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}
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} catch (error: any) {
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spinner.fail('Cleanup failed')
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@ -262,7 +178,7 @@ export const utilityCommands = {
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}
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try {
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const brain = await getBrainy()
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const brain = getBrainy()
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// Benchmark different operations
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const benchmarks = [
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@ -283,17 +199,17 @@ export const utilityCommands = {
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switch (bench.name) {
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case 'add':
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await brain.add(`Test item ${i}`, { benchmark: true })
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await brain.add({ data: `Test item ${i}`, type: NounType.Thing, metadata: { benchmark: true } })
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break
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case 'search':
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await brain.search('test', 10)
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await brain.find({ query: 'test', limit: 10 })
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break
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case 'similarity':
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const neural = brain.neural
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const neural = brain.neural()
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await neural.similar('test1', 'test2')
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break
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case 'cluster':
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const neuralApi = brain.neural
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const neuralApi = brain.neural()
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await neuralApi.clusters()
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break
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}
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@ -319,12 +235,12 @@ export const utilityCommands = {
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}
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// Calculate summary
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const totalOps = Object.values(results.operations).reduce((sum: number, op: any) =>
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const totalOps: number = (Object.values(results.operations) as any[]).reduce((sum: number, op: any) =>
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sum + parseFloat(op.ops), 0)
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results.summary = {
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totalOperations: Object.keys(results.operations).length,
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averageOpsPerSec: (totalOps / Object.keys(results.operations).length).toFixed(2)
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averageOpsPerSec: totalOps > 0 ? (totalOps / Object.keys(results.operations).length).toFixed(2) : '0'
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}
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if (!options.json) {
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