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
9d355649af
9 changed files with 1114 additions and 213 deletions
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@ -7,7 +7,7 @@
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"types": "dist/index.d.ts",
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"type": "module",
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"bin": {
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"brainy": "bin/brainy-minimal.js"
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"brainy": "bin/brainy.js"
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},
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"sideEffects": [
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"./dist/setup.js",
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@ -24,8 +24,20 @@ interface AddOptions extends CoreOptions {
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interface SearchOptions extends CoreOptions {
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limit?: string
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offset?: string
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threshold?: string
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metadata?: string
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type?: string
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where?: string
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near?: string
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connectedTo?: string
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connectedFrom?: string
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via?: string
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explain?: boolean
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includeRelations?: boolean
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fusion?: string
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vectorWeight?: string
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graphWeight?: string
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fieldWeight?: string
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}
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interface GetOptions extends CoreOptions {
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@ -48,10 +60,9 @@ interface ExportOptions extends CoreOptions {
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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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@ -70,7 +81,7 @@ export const coreCommands = {
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const spinner = ora('Adding to neural database...').start()
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try {
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const brain = await getBrainy()
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const brain = getBrainy()
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let metadata: any = {}
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if (options.metadata) {
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@ -142,48 +153,183 @@ export const coreCommands = {
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},
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/**
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* Search the neural database
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* Search the neural database with Triple Intelligence™
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*/
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async search(query: string, options: SearchOptions) {
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const spinner = ora('Searching neural database...').start()
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const spinner = ora('Searching with Triple Intelligence™...').start()
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try {
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const brain = await getBrainy()
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const brain = getBrainy()
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const searchOptions: any = {
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// Build comprehensive search params
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const searchParams: any = {
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query,
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limit: options.limit ? parseInt(options.limit) : 10
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}
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if (options.threshold) {
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searchOptions.threshold = parseFloat(options.threshold)
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// Pagination
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if (options.offset) {
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searchParams.offset = parseInt(options.offset)
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}
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if (options.metadata) {
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// Vector Intelligence - similarity threshold
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if (options.threshold) {
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searchParams.near = { threshold: parseFloat(options.threshold) }
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}
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// Metadata Intelligence - type filtering
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if (options.type) {
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const types = options.type.split(',').map(t => t.trim())
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searchParams.type = types.length === 1 ? types[0] : types
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}
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// Metadata Intelligence - field filtering
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if (options.where) {
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try {
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searchOptions.filter = JSON.parse(options.metadata)
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searchParams.where = JSON.parse(options.where)
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} catch {
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spinner.fail('Invalid metadata filter JSON')
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spinner.fail('Invalid --where JSON')
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console.log(chalk.dim('Example: --where \'{"status":"active","priority":{"$gte":5}}\''))
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process.exit(1)
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}
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}
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const results = await brain.search(query, searchOptions.limit)
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// Vector Intelligence - proximity search
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if (options.near) {
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searchParams.near = {
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id: options.near,
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threshold: options.threshold ? parseFloat(options.threshold) : 0.7
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}
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}
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// Graph Intelligence - connection constraints
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if (options.connectedTo || options.connectedFrom || options.via) {
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searchParams.connected = {}
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if (options.connectedTo) {
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searchParams.connected.to = options.connectedTo
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}
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if (options.connectedFrom) {
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searchParams.connected.from = options.connectedFrom
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}
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if (options.via) {
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const vias = options.via.split(',').map(v => v.trim())
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searchParams.connected.via = vias.length === 1 ? vias[0] : vias
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}
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}
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// Explanation
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if (options.explain) {
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searchParams.explain = true
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}
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// Include relationships
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if (options.includeRelations) {
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searchParams.includeRelations = true
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}
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// Triple Intelligence Fusion - custom weighting
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if (options.fusion || options.vectorWeight || options.graphWeight || options.fieldWeight) {
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searchParams.fusion = {
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strategy: options.fusion || 'adaptive',
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weights: {}
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}
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if (options.vectorWeight) {
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searchParams.fusion.weights.vector = parseFloat(options.vectorWeight)
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}
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if (options.graphWeight) {
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searchParams.fusion.weights.graph = parseFloat(options.graphWeight)
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}
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if (options.fieldWeight) {
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searchParams.fusion.weights.field = parseFloat(options.fieldWeight)
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}
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}
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const results = await brain.find(searchParams)
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spinner.succeed(`Found ${results.length} results`)
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if (!options.json) {
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if (results.length === 0) {
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console.log(chalk.yellow('No results found'))
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console.log(chalk.yellow('\nNo results found'))
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// Show helpful hints
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console.log(chalk.dim('\nTips:'))
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console.log(chalk.dim(' • Try different search terms'))
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console.log(chalk.dim(' • Remove filters (--type, --where, --connected-to)'))
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console.log(chalk.dim(' • Lower the --threshold value'))
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} else {
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console.log(chalk.cyan(`\n📊 Triple Intelligence Results:\n`))
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results.forEach((result, i) => {
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console.log(chalk.cyan(`\n${i + 1}. ${(result as any).content || result.id}`))
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const entity = result.entity || result
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console.log(chalk.bold(`${i + 1}. ${entity.id}`))
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// Show score with breakdown
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if (result.score !== undefined) {
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console.log(chalk.dim(` Similarity: ${(result.score * 100).toFixed(1)}%`))
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console.log(chalk.green(` Score: ${(result.score * 100).toFixed(1)}%`))
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if (options.explain && (result as any).scores) {
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const scores = (result as any).scores
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if (scores.vector !== undefined) {
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console.log(chalk.dim(` Vector: ${(scores.vector * 100).toFixed(1)}%`))
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}
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if (scores.graph !== undefined) {
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console.log(chalk.dim(` Graph: ${(scores.graph * 100).toFixed(1)}%`))
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}
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if (scores.field !== undefined) {
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console.log(chalk.dim(` Field: ${(scores.field * 100).toFixed(1)}%`))
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}
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}
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}
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if (result.entity && result.entity.metadata) {
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console.log(chalk.dim(` Metadata: ${JSON.stringify(result.entity.metadata)}`))
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// Show type
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if ((entity as any).type) {
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console.log(chalk.dim(` Type: ${(entity as any).type}`))
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}
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// Show content preview
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if ((entity as any).content) {
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const preview = (entity as any).content.substring(0, 80)
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console.log(chalk.dim(` Content: ${preview}${(entity as any).content.length > 80 ? '...' : ''}`))
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}
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// Show metadata
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if ((entity as any).metadata && Object.keys((entity as any).metadata).length > 0) {
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console.log(chalk.dim(` Metadata: ${JSON.stringify((entity as any).metadata)}`))
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}
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// Show relationships
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if (options.includeRelations && (result as any).relations) {
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const relations = (result as any).relations
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if (relations.length > 0) {
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console.log(chalk.dim(` Relations: ${relations.length} connections`))
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}
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}
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console.log()
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})
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// Show search summary
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console.log(chalk.cyan('Search Configuration:'))
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if (searchParams.type) {
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console.log(chalk.dim(` Type filter: ${Array.isArray(searchParams.type) ? searchParams.type.join(', ') : searchParams.type}`))
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}
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if (searchParams.where) {
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console.log(chalk.dim(` Field filter: ${JSON.stringify(searchParams.where)}`))
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}
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if (searchParams.connected) {
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console.log(chalk.dim(` Graph filter: ${JSON.stringify(searchParams.connected)}`))
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}
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if (searchParams.fusion) {
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console.log(chalk.dim(` Fusion: ${searchParams.fusion.strategy}`))
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if (searchParams.fusion.weights && Object.keys(searchParams.fusion.weights).length > 0) {
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console.log(chalk.dim(` Weights: ${JSON.stringify(searchParams.fusion.weights)}`))
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}
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}
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}
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} else {
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formatOutput(results, options)
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@ -191,6 +337,9 @@ export const coreCommands = {
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} catch (error: any) {
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spinner.fail('Search failed')
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console.error(chalk.red(error.message))
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if (options.verbose) {
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console.error(chalk.dim(error.stack))
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}
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process.exit(1)
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}
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},
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@ -202,26 +351,24 @@ export const coreCommands = {
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const spinner = ora('Fetching item...').start()
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try {
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const brain = await getBrainy()
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const brain = getBrainy()
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// Try to get the item
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const results = await brain.search(id, 1)
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const item = await brain.get(id)
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if (results.length === 0) {
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if (!item) {
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spinner.fail('Item not found')
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console.log(chalk.yellow(`No item found with ID: ${id}`))
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process.exit(1)
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}
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const item = results[0]
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spinner.succeed('Item found')
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if (!options.json) {
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console.log(chalk.cyan('\nItem Details:'))
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console.log(` ID: ${item.id}`)
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console.log(` Content: ${(item as any).content || 'N/A'}`)
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if (item.entity && item.entity.metadata) {
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console.log(` Metadata: ${JSON.stringify(item.entity.metadata, null, 2)}`)
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if (item.metadata) {
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console.log(` Metadata: ${JSON.stringify(item.metadata, null, 2)}`)
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}
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if (options.withConnections) {
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@ -252,7 +399,7 @@ export const coreCommands = {
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const spinner = ora('Creating relationship...').start()
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try {
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const brain = await getBrainy()
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const brain = getBrainy()
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let metadata: any = {}
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if (options.metadata) {
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@ -301,7 +448,7 @@ export const coreCommands = {
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const spinner = ora('Importing data...').start()
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try {
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const brain = await getBrainy()
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const brain = getBrainy()
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const format = options.format || 'json'
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const batchSize = options.batchSize ? parseInt(options.batchSize) : 100
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@ -401,7 +548,7 @@ export const coreCommands = {
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const spinner = ora('Exporting database...').start()
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try {
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const brain = await getBrainy()
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const brain = getBrainy()
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const format = options.format || 'json'
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// Export all data
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164
src/cli/commands/data.ts
Normal file
164
src/cli/commands/data.ts
Normal file
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@ -0,0 +1,164 @@
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/**
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* Data Management Commands
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*
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* Backup, restore, import, export operations
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*/
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import chalk from 'chalk'
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import ora from 'ora'
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import { readFileSync, writeFileSync } from 'node:fs'
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import { Brainy } from '../../brainy.js'
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interface DataOptions {
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verbose?: boolean
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json?: boolean
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pretty?: boolean
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}
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let brainyInstance: Brainy | null = null
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const getBrainy = (): Brainy => {
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if (!brainyInstance) {
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brainyInstance = new Brainy()
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}
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return brainyInstance
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}
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const formatOutput = (data: any, options: DataOptions): void => {
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if (options.json) {
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console.log(options.pretty ? JSON.stringify(data, null, 2) : JSON.stringify(data))
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}
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}
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export const dataCommands = {
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/**
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* Backup database
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*/
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async backup(file: string, options: DataOptions & { compress?: boolean }) {
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const spinner = ora('Creating backup...').start()
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try {
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const brain = getBrainy()
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const dataApi = await brain.data()
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const backup = await dataApi.backup({
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compress: options.compress
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})
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spinner.text = 'Writing backup file...'
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// Write backup to file
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const content = typeof backup === 'string'
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? backup
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: JSON.stringify(backup, null, options.pretty ? 2 : 0)
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writeFileSync(file, content)
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spinner.succeed('Backup created')
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if (!options.json) {
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console.log(chalk.green(`✓ Backup saved to: ${file}`))
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if ((backup as any).compressed) {
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console.log(chalk.dim(` Original size: ${formatBytes((backup as any).originalSize)}`))
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console.log(chalk.dim(` Compressed size: ${formatBytes((backup as any).compressedSize)}`))
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console.log(chalk.dim(` Compression ratio: ${(((backup as any).compressedSize / (backup as any).originalSize) * 100).toFixed(1)}%`))
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}
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} else {
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formatOutput({ file, backup: true }, options)
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}
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} catch (error: any) {
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spinner.fail('Backup failed')
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console.error(chalk.red(error.message))
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process.exit(1)
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}
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},
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/**
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* Restore from backup
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*/
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async restore(file: string, options: DataOptions & { merge?: boolean }) {
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const spinner = ora('Restoring from backup...').start()
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try {
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const brain = getBrainy()
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const dataApi = await brain.data()
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// Read backup file
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const content = readFileSync(file, 'utf-8')
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const backup = JSON.parse(content)
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// Restore
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await dataApi.restore({
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backup,
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merge: options.merge || false
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})
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spinner.succeed('Restore complete')
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if (!options.json) {
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console.log(chalk.green(`✓ Restored from: ${file}`))
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if (options.merge) {
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console.log(chalk.dim(' Mode: Merged with existing data'))
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} else {
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console.log(chalk.dim(' Mode: Replaced all data'))
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}
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} else {
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formatOutput({ file, restored: true }, options)
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}
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} catch (error: any) {
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spinner.fail('Restore failed')
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console.error(chalk.red(error.message))
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process.exit(1)
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}
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},
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/**
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* Get database statistics
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*/
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async stats(options: DataOptions) {
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const spinner = ora('Gathering statistics...').start()
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try {
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const brain = getBrainy()
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const dataApi = await brain.data()
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const stats = await dataApi.getStats()
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spinner.succeed('Statistics gathered')
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if (!options.json) {
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console.log(chalk.cyan('\n📊 Database Statistics:\n'))
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console.log(chalk.bold('Entities:'))
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console.log(` Total: ${chalk.green(stats.entities)}`)
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console.log(chalk.bold('\nRelationships:'))
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console.log(` Total: ${chalk.green(stats.relations)}`)
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if ((stats as any).storageSize) {
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console.log(chalk.bold('\nStorage:'))
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console.log(` Size: ${chalk.green(formatBytes((stats as any).storageSize))}`)
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}
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if ((stats as any).vectorDimensions) {
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console.log(chalk.bold('\nVector Index:'))
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console.log(` Dimensions: ${(stats as any).vectorDimensions}`)
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}
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} else {
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formatOutput(stats, options)
|
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}
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} catch (error: any) {
|
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spinner.fail('Failed to get statistics')
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console.error(chalk.red(error.message))
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process.exit(1)
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}
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}
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}
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function formatBytes(bytes: number): string {
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if (bytes === 0) return '0 B'
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const k = 1024
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const sizes = ['B', 'KB', 'MB', 'GB']
|
||||
const i = Math.floor(Math.log(bytes) / Math.log(k))
|
||||
return parseFloat((bytes / Math.pow(k, i)).toFixed(2)) + ' ' + sizes[i]
|
||||
}
|
||||
|
|
@ -9,8 +9,7 @@ import chalk from 'chalk'
|
|||
import ora from 'ora'
|
||||
import fs from 'node:fs'
|
||||
import path from 'node:path'
|
||||
import { Brainy } from '../../brainyData.js'
|
||||
import { NeuralAPI } from '../../neural/neuralAPI.js'
|
||||
import { Brainy } from '../../brainy.js'
|
||||
|
||||
interface CommandArguments {
|
||||
action?: string;
|
||||
|
|
@ -99,7 +98,7 @@ export const neuralCommand = {
|
|||
|
||||
// Initialize Brainy and Neural API
|
||||
const brain = new Brainy()
|
||||
const neural = new NeuralAPI(brain)
|
||||
const neural = brain.neural()
|
||||
|
||||
try {
|
||||
const action = argv.action || await promptForAction()
|
||||
|
|
@ -118,7 +117,9 @@ export const neuralCommand = {
|
|||
await handleNeighborsCommand(neural, argv)
|
||||
break
|
||||
case 'path':
|
||||
await handlePathCommand(neural, argv)
|
||||
console.log(chalk.yellow('\n⚠️ Semantic path finding coming in v3.21.0'))
|
||||
console.log(chalk.dim('This feature requires implementing graph traversal algorithms'))
|
||||
console.log(chalk.dim('Use "neighbors" and "hierarchy" commands to explore connections'))
|
||||
break
|
||||
case 'outliers':
|
||||
await handleOutliersCommand(neural, argv)
|
||||
|
|
@ -147,7 +148,7 @@ async function promptForAction(): Promise<string> {
|
|||
{ name: '🎯 Find semantic clusters', value: 'clusters' },
|
||||
{ name: '🌳 Show item hierarchy', value: 'hierarchy' },
|
||||
{ name: '🕸️ Find semantic neighbors', value: 'neighbors' },
|
||||
{ name: '🛣️ Find semantic path between items', value: 'path' },
|
||||
{ name: '🛣️ Find semantic path between items (v3.21.0)', value: 'path', disabled: true },
|
||||
{ name: '🚨 Detect outliers', value: 'outliers' },
|
||||
{ name: '📊 Generate visualization data', value: 'visualize' }
|
||||
]
|
||||
|
|
@ -156,7 +157,7 @@ async function promptForAction(): Promise<string> {
|
|||
return answer.action
|
||||
}
|
||||
|
||||
async function handleSimilarCommand(neural: NeuralAPI, argv: CommandArguments): Promise<void> {
|
||||
async function handleSimilarCommand(neural: any, argv: CommandArguments): Promise<void> {
|
||||
const spinner = ora('🧠 Calculating semantic similarity...').start()
|
||||
|
||||
try {
|
||||
|
|
@ -230,7 +231,7 @@ async function handleSimilarCommand(neural: NeuralAPI, argv: CommandArguments):
|
|||
}
|
||||
}
|
||||
|
||||
async function handleClustersCommand(neural: NeuralAPI, argv: CommandArguments): Promise<void> {
|
||||
async function handleClustersCommand(neural: any, argv: CommandArguments): Promise<void> {
|
||||
const spinner = ora('🎯 Finding semantic clusters...').start()
|
||||
|
||||
try {
|
||||
|
|
@ -277,7 +278,7 @@ async function handleClustersCommand(neural: NeuralAPI, argv: CommandArguments):
|
|||
}
|
||||
}
|
||||
|
||||
async function handleHierarchyCommand(neural: NeuralAPI, argv: CommandArguments): Promise<void> {
|
||||
async function handleHierarchyCommand(neural: any, argv: CommandArguments): Promise<void> {
|
||||
const spinner = ora('🌳 Building semantic hierarchy...').start()
|
||||
|
||||
try {
|
||||
|
|
@ -342,7 +343,7 @@ function displayHierarchy(hierarchy: any): void {
|
|||
}
|
||||
}
|
||||
|
||||
async function handleNeighborsCommand(neural: NeuralAPI, argv: CommandArguments): Promise<void> {
|
||||
async function handleNeighborsCommand(neural: any, argv: CommandArguments): Promise<void> {
|
||||
const spinner = ora('🕸️ Finding semantic neighbors...').start()
|
||||
|
||||
try {
|
||||
|
|
@ -398,7 +399,7 @@ async function handleNeighborsCommand(neural: NeuralAPI, argv: CommandArguments)
|
|||
}
|
||||
}
|
||||
|
||||
async function handlePathCommand(neural: NeuralAPI, argv: CommandArguments): Promise<void> {
|
||||
async function handlePathCommand(neural: any, argv: CommandArguments): Promise<void> {
|
||||
const spinner = ora('🛣️ Finding semantic path...').start()
|
||||
|
||||
try {
|
||||
|
|
@ -455,7 +456,7 @@ async function handlePathCommand(neural: NeuralAPI, argv: CommandArguments): Pro
|
|||
}
|
||||
}
|
||||
|
||||
async function handleOutliersCommand(neural: NeuralAPI, argv: CommandArguments): Promise<void> {
|
||||
async function handleOutliersCommand(neural: any, argv: CommandArguments): Promise<void> {
|
||||
const spinner = ora('🚨 Detecting semantic outliers...').start()
|
||||
|
||||
try {
|
||||
|
|
@ -484,7 +485,7 @@ async function handleOutliersCommand(neural: NeuralAPI, argv: CommandArguments):
|
|||
}
|
||||
}
|
||||
|
||||
async function handleVisualizeCommand(neural: NeuralAPI, argv: CommandArguments): Promise<void> {
|
||||
async function handleVisualizeCommand(neural: any, argv: CommandArguments): Promise<void> {
|
||||
const spinner = ora('📊 Generating visualization data...').start()
|
||||
|
||||
try {
|
||||
|
|
@ -574,4 +575,14 @@ function showHelp(): void {
|
|||
console.log('')
|
||||
}
|
||||
|
||||
export const neuralCommands = {
|
||||
similar: handleSimilarCommand,
|
||||
cluster: handleClustersCommand,
|
||||
hierarchy: handleHierarchyCommand,
|
||||
related: handleNeighborsCommand,
|
||||
// path: handlePathCommand, // Coming in v3.21.0 - requires graph traversal implementation
|
||||
outliers: handleOutliersCommand,
|
||||
visualize: handleVisualizeCommand
|
||||
}
|
||||
|
||||
export default neuralCommand
|
||||
|
|
@ -7,7 +7,8 @@
|
|||
import chalk from 'chalk'
|
||||
import ora from 'ora'
|
||||
import Table from 'cli-table3'
|
||||
import { Brainy } from '../../brainyData.js'
|
||||
import { Brainy } from '../../brainy.js'
|
||||
import { NounType } from '../../types/graphTypes.js'
|
||||
|
||||
interface UtilityOptions {
|
||||
verbose?: boolean
|
||||
|
|
@ -32,10 +33,9 @@ interface BenchmarkOptions extends UtilityOptions {
|
|||
|
||||
let brainyInstance: Brainy | null = null
|
||||
|
||||
const getBrainy = async (): Promise<Brainy> => {
|
||||
const getBrainy = (): Brainy => {
|
||||
if (!brainyInstance) {
|
||||
brainyInstance = new Brainy()
|
||||
await brainyInstance.init()
|
||||
}
|
||||
return brainyInstance
|
||||
}
|
||||
|
|
@ -62,12 +62,19 @@ export const utilityCommands = {
|
|||
const spinner = ora('Gathering statistics...').start()
|
||||
|
||||
try {
|
||||
const brain = await getBrainy()
|
||||
const stats = await brain.getStatistics()
|
||||
const brain = getBrainy()
|
||||
const nounCount = await brain.getNounCount()
|
||||
const verbCount = await brain.getVerbCount()
|
||||
const memUsage = process.memoryUsage()
|
||||
|
||||
spinner.succeed('Statistics gathered')
|
||||
|
||||
const stats = {
|
||||
nounCount,
|
||||
verbCount,
|
||||
totalItems: nounCount + verbCount
|
||||
}
|
||||
|
||||
if (options.json) {
|
||||
formatOutput(stats, options)
|
||||
return
|
||||
|
|
@ -82,75 +89,13 @@ export const utilityCommands = {
|
|||
})
|
||||
|
||||
coreTable.push(
|
||||
['Total Items', chalk.green(stats.nounCount + stats.verbCount + stats.metadataCount || 0)],
|
||||
['Nouns', chalk.green(stats.nounCount || 0)],
|
||||
['Verbs (Relationships)', chalk.green(stats.verbCount || 0)],
|
||||
['Metadata Records', chalk.green(stats.metadataCount || 0)]
|
||||
['Total Items', chalk.green(stats.totalItems)],
|
||||
['Nouns', chalk.green(stats.nounCount)],
|
||||
['Verbs (Relationships)', chalk.green(stats.verbCount)]
|
||||
)
|
||||
|
||||
console.log(coreTable.toString())
|
||||
|
||||
// Service breakdown if available
|
||||
if (options.byService && stats.serviceBreakdown) {
|
||||
console.log(chalk.cyan('\n🔧 Service Breakdown\n'))
|
||||
|
||||
const serviceTable = new Table({
|
||||
head: [chalk.cyan('Service'), chalk.cyan('Nouns'), chalk.cyan('Verbs'), chalk.cyan('Metadata')],
|
||||
style: { head: [], border: [] }
|
||||
})
|
||||
|
||||
Object.entries(stats.serviceBreakdown).forEach(([service, serviceStats]: [string, any]) => {
|
||||
serviceTable.push([
|
||||
service,
|
||||
serviceStats.nounCount || 0,
|
||||
serviceStats.verbCount || 0,
|
||||
serviceStats.metadataCount || 0
|
||||
])
|
||||
})
|
||||
|
||||
console.log(serviceTable.toString())
|
||||
}
|
||||
|
||||
// Storage info
|
||||
if (stats.storage) {
|
||||
console.log(chalk.cyan('\n💾 Storage\n'))
|
||||
|
||||
const storageTable = new Table({
|
||||
head: [chalk.cyan('Property'), chalk.cyan('Value')],
|
||||
style: { head: [], border: [] }
|
||||
})
|
||||
|
||||
storageTable.push(
|
||||
['Type', stats.storage.type || 'Unknown'],
|
||||
['Size', stats.storage.size ? formatBytes(stats.storage.size) : 'N/A'],
|
||||
['Location', stats.storage.location || 'N/A']
|
||||
)
|
||||
|
||||
console.log(storageTable.toString())
|
||||
}
|
||||
|
||||
// Performance metrics
|
||||
if (stats.performance && options.detailed) {
|
||||
console.log(chalk.cyan('\n⚡ Performance\n'))
|
||||
|
||||
const perfTable = new Table({
|
||||
head: [chalk.cyan('Metric'), chalk.cyan('Value')],
|
||||
style: { head: [], border: [] }
|
||||
})
|
||||
|
||||
if (stats.performance.avgQueryTime) {
|
||||
perfTable.push(['Avg Query Time', `${stats.performance.avgQueryTime.toFixed(2)} ms`])
|
||||
}
|
||||
if (stats.performance.totalQueries) {
|
||||
perfTable.push(['Total Queries', stats.performance.totalQueries])
|
||||
}
|
||||
if (stats.performance.cacheHitRate) {
|
||||
perfTable.push(['Cache Hit Rate', `${(stats.performance.cacheHitRate * 100).toFixed(1)}%`])
|
||||
}
|
||||
|
||||
console.log(perfTable.toString())
|
||||
}
|
||||
|
||||
// Memory usage
|
||||
console.log(chalk.cyan('\n🧠 Memory Usage\n'))
|
||||
|
||||
|
|
@ -168,24 +113,6 @@ export const utilityCommands = {
|
|||
|
||||
console.log(memTable.toString())
|
||||
|
||||
// Index info
|
||||
if (stats.index && options.detailed) {
|
||||
console.log(chalk.cyan('\n🎯 Vector Index\n'))
|
||||
|
||||
const indexTable = new Table({
|
||||
head: [chalk.cyan('Property'), chalk.cyan('Value')],
|
||||
style: { head: [], border: [] }
|
||||
})
|
||||
|
||||
indexTable.push(
|
||||
['Dimensions', stats.index.dimensions || 'N/A'],
|
||||
['Indexed Vectors', stats.index.vectorCount || 0],
|
||||
['Index Size', stats.index.indexSize ? formatBytes(stats.index.indexSize) : 'N/A']
|
||||
)
|
||||
|
||||
console.log(indexTable.toString())
|
||||
}
|
||||
|
||||
} catch (error: any) {
|
||||
spinner.fail('Failed to gather statistics')
|
||||
console.error(chalk.red(error.message))
|
||||
|
|
@ -200,45 +127,34 @@ export const utilityCommands = {
|
|||
const spinner = ora('Cleaning database...').start()
|
||||
|
||||
try {
|
||||
const brain = await getBrainy()
|
||||
const tasks: string[] = []
|
||||
const brain = getBrainy()
|
||||
|
||||
if (options.removeOrphans) {
|
||||
spinner.text = 'Removing orphaned items...'
|
||||
tasks.push('Removed orphaned items')
|
||||
// Implementation would go here
|
||||
await new Promise(resolve => setTimeout(resolve, 500)) // Simulate work
|
||||
// For now, only support full clear
|
||||
// removeOrphans and rebuildIndex would require new Brainy APIs
|
||||
if (options.removeOrphans || options.rebuildIndex) {
|
||||
spinner.warn('Advanced cleanup options not yet implemented')
|
||||
console.log(chalk.yellow('\n⚠️ Advanced cleanup features coming in v3.21.0:'))
|
||||
console.log(chalk.dim(' • --remove-orphans: Remove disconnected items'))
|
||||
console.log(chalk.dim(' • --rebuild-index: Rebuild vector index'))
|
||||
console.log(chalk.dim('\nUse "brainy clean" without options to clear the database'))
|
||||
return
|
||||
}
|
||||
|
||||
if (options.rebuildIndex) {
|
||||
spinner.text = 'Rebuilding search index...'
|
||||
tasks.push('Rebuilt search index')
|
||||
// Implementation would go here
|
||||
await new Promise(resolve => setTimeout(resolve, 1000)) // Simulate work
|
||||
}
|
||||
// Show warning before clearing
|
||||
console.log(chalk.yellow('\n⚠️ WARNING: This will permanently delete ALL data!'))
|
||||
const dataApi = await brain.data()
|
||||
|
||||
if (tasks.length === 0) {
|
||||
spinner.text = 'Running general cleanup...'
|
||||
tasks.push('General cleanup completed')
|
||||
// Run general cleanup tasks
|
||||
await new Promise(resolve => setTimeout(resolve, 500)) // Simulate work
|
||||
}
|
||||
// Clear all data
|
||||
spinner.text = 'Clearing all data...'
|
||||
await dataApi.clear({ entities: true, relations: true })
|
||||
|
||||
spinner.succeed('Database cleaned')
|
||||
spinner.succeed('Database cleared')
|
||||
|
||||
if (!options.json) {
|
||||
console.log(chalk.green('\n✓ Cleanup completed:'))
|
||||
tasks.forEach(task => {
|
||||
console.log(chalk.dim(` • ${task}`))
|
||||
})
|
||||
|
||||
// Get new stats
|
||||
const stats = await brain.getStatistics()
|
||||
console.log(chalk.cyan('\nDatabase Status:'))
|
||||
console.log(` Total items: ${stats.nounCount + stats.verbCount}`)
|
||||
console.log(` Index status: ${chalk.green('Healthy')}`)
|
||||
console.log(chalk.green('\n✓ Database cleared successfully'))
|
||||
console.log(chalk.dim(' All nouns, verbs, and metadata have been removed'))
|
||||
} else {
|
||||
formatOutput({ tasks, success: true }, options)
|
||||
formatOutput({ cleared: true, success: true }, options)
|
||||
}
|
||||
} catch (error: any) {
|
||||
spinner.fail('Cleanup failed')
|
||||
|
|
@ -262,7 +178,7 @@ export const utilityCommands = {
|
|||
}
|
||||
|
||||
try {
|
||||
const brain = await getBrainy()
|
||||
const brain = getBrainy()
|
||||
|
||||
// Benchmark different operations
|
||||
const benchmarks = [
|
||||
|
|
@ -283,17 +199,17 @@ export const utilityCommands = {
|
|||
|
||||
switch (bench.name) {
|
||||
case 'add':
|
||||
await brain.add(`Test item ${i}`, { benchmark: true })
|
||||
await brain.add({ data: `Test item ${i}`, type: NounType.Thing, metadata: { benchmark: true } })
|
||||
break
|
||||
case 'search':
|
||||
await brain.search('test', 10)
|
||||
await brain.find({ query: 'test', limit: 10 })
|
||||
break
|
||||
case 'similarity':
|
||||
const neural = brain.neural
|
||||
const neural = brain.neural()
|
||||
await neural.similar('test1', 'test2')
|
||||
break
|
||||
case 'cluster':
|
||||
const neuralApi = brain.neural
|
||||
const neuralApi = brain.neural()
|
||||
await neuralApi.clusters()
|
||||
break
|
||||
}
|
||||
|
|
@ -319,12 +235,12 @@ export const utilityCommands = {
|
|||
}
|
||||
|
||||
// Calculate summary
|
||||
const totalOps = Object.values(results.operations).reduce((sum: number, op: any) =>
|
||||
const totalOps: number = (Object.values(results.operations) as any[]).reduce((sum: number, op: any) =>
|
||||
sum + parseFloat(op.ops), 0)
|
||||
|
||||
results.summary = {
|
||||
totalOperations: Object.keys(results.operations).length,
|
||||
averageOpsPerSec: (totalOps / Object.keys(results.operations).length).toFixed(2)
|
||||
averageOpsPerSec: totalOps > 0 ? (totalOps / Object.keys(results.operations).length).toFixed(2) : '0'
|
||||
}
|
||||
|
||||
if (!options.json) {
|
||||
|
|
|
|||
411
src/cli/commands/vfs.ts
Normal file
411
src/cli/commands/vfs.ts
Normal file
|
|
@ -0,0 +1,411 @@
|
|||
/**
|
||||
* VFS CLI Commands - Virtual File System Operations
|
||||
*
|
||||
* Complete filesystem-like interface for Brainy's VFS
|
||||
*/
|
||||
|
||||
import chalk from 'chalk'
|
||||
import ora from 'ora'
|
||||
import Table from 'cli-table3'
|
||||
import { readFileSync, writeFileSync } from 'node:fs'
|
||||
import { Brainy } from '../../brainy.js'
|
||||
|
||||
interface VFSOptions {
|
||||
verbose?: boolean
|
||||
json?: boolean
|
||||
pretty?: boolean
|
||||
}
|
||||
|
||||
let brainyInstance: Brainy | null = null
|
||||
|
||||
const getBrainy = (): Brainy => {
|
||||
if (!brainyInstance) {
|
||||
brainyInstance = new Brainy()
|
||||
}
|
||||
return brainyInstance
|
||||
}
|
||||
|
||||
const formatOutput = (data: any, options: VFSOptions): void => {
|
||||
if (options.json) {
|
||||
console.log(options.pretty ? JSON.stringify(data, null, 2) : JSON.stringify(data))
|
||||
}
|
||||
}
|
||||
|
||||
const formatBytes = (bytes: number): string => {
|
||||
if (bytes === 0) return '0 B'
|
||||
const k = 1024
|
||||
const sizes = ['B', 'KB', 'MB', 'GB']
|
||||
const i = Math.floor(Math.log(bytes) / Math.log(k))
|
||||
return parseFloat((bytes / Math.pow(k, i)).toFixed(2)) + ' ' + sizes[i]
|
||||
}
|
||||
|
||||
const formatDate = (date: Date): string => {
|
||||
return date.toLocaleString()
|
||||
}
|
||||
|
||||
export const vfsCommands = {
|
||||
/**
|
||||
* Read file from VFS
|
||||
*/
|
||||
async read(path: string, options: VFSOptions & { output?: string; encoding?: string }) {
|
||||
const spinner = ora('Reading file...').start()
|
||||
|
||||
try {
|
||||
const brain = getBrainy()
|
||||
const vfs = brain.vfs()
|
||||
await vfs.init()
|
||||
|
||||
const buffer = await vfs.readFile(path, {
|
||||
encoding: options.encoding as any
|
||||
})
|
||||
|
||||
spinner.succeed('File read successfully')
|
||||
|
||||
if (options.output) {
|
||||
// Write to local filesystem
|
||||
writeFileSync(options.output, buffer)
|
||||
console.log(chalk.green(`✓ Saved to: ${options.output}`))
|
||||
} else if (!options.json) {
|
||||
// Display content
|
||||
console.log('\n' + buffer.toString())
|
||||
} else {
|
||||
formatOutput({ path, content: buffer.toString(), size: buffer.length }, options)
|
||||
}
|
||||
} catch (error: any) {
|
||||
spinner.fail('Failed to read file')
|
||||
console.error(chalk.red(error.message))
|
||||
process.exit(1)
|
||||
}
|
||||
},
|
||||
|
||||
/**
|
||||
* Write file to VFS
|
||||
*/
|
||||
async write(path: string, options: VFSOptions & { content?: string; file?: string; encoding?: string }) {
|
||||
const spinner = ora('Writing file...').start()
|
||||
|
||||
try {
|
||||
const brain = getBrainy()
|
||||
const vfs = brain.vfs()
|
||||
await vfs.init()
|
||||
|
||||
let data: string
|
||||
if (options.file) {
|
||||
// Read from local file
|
||||
data = readFileSync(options.file, 'utf-8')
|
||||
} else if (options.content) {
|
||||
data = options.content
|
||||
} else {
|
||||
spinner.fail('Must provide --content or --file')
|
||||
process.exit(1)
|
||||
}
|
||||
|
||||
await vfs.writeFile(path, data, {
|
||||
encoding: options.encoding as any
|
||||
})
|
||||
|
||||
spinner.succeed('File written successfully')
|
||||
|
||||
if (!options.json) {
|
||||
console.log(chalk.green(`✓ Written to: ${path}`))
|
||||
console.log(chalk.dim(` Size: ${formatBytes(Buffer.byteLength(data))}`))
|
||||
} else {
|
||||
formatOutput({ path, size: Buffer.byteLength(data) }, options)
|
||||
}
|
||||
} catch (error: any) {
|
||||
spinner.fail('Failed to write file')
|
||||
console.error(chalk.red(error.message))
|
||||
process.exit(1)
|
||||
}
|
||||
},
|
||||
|
||||
/**
|
||||
* List directory contents
|
||||
*/
|
||||
async ls(path: string, options: VFSOptions & { long?: boolean; all?: boolean }) {
|
||||
const spinner = ora('Listing directory...').start()
|
||||
|
||||
try {
|
||||
const brain = getBrainy()
|
||||
const vfs = brain.vfs()
|
||||
await vfs.init()
|
||||
|
||||
const entries = await vfs.readdir(path, { withFileTypes: true })
|
||||
|
||||
spinner.succeed(`Found ${Array.isArray(entries) ? entries.length : 0} items`)
|
||||
|
||||
if (!options.json) {
|
||||
if (!Array.isArray(entries) || entries.length === 0) {
|
||||
console.log(chalk.yellow('Directory is empty'))
|
||||
return
|
||||
}
|
||||
|
||||
if (options.long) {
|
||||
// Long format with details
|
||||
const table = new Table({
|
||||
head: [chalk.cyan('Type'), chalk.cyan('Size'), chalk.cyan('Modified'), chalk.cyan('Name')],
|
||||
style: { head: [], border: [] }
|
||||
})
|
||||
|
||||
for (const entry of entries as any[]) {
|
||||
if (!options.all && entry.name.startsWith('.')) continue
|
||||
|
||||
const stat = await vfs.stat(`${path}/${entry.name}`)
|
||||
table.push([
|
||||
entry.isDirectory() ? chalk.blue('DIR') : 'FILE',
|
||||
entry.isDirectory() ? '-' : formatBytes(stat.size),
|
||||
formatDate(stat.mtime),
|
||||
entry.name
|
||||
])
|
||||
}
|
||||
|
||||
console.log('\n' + table.toString())
|
||||
} else {
|
||||
// Simple format
|
||||
console.log()
|
||||
for (const entry of entries as any[]) {
|
||||
if (!options.all && entry.name.startsWith('.')) continue
|
||||
|
||||
if (entry.isDirectory()) {
|
||||
console.log(chalk.blue(entry.name + '/'))
|
||||
} else {
|
||||
console.log(entry.name)
|
||||
}
|
||||
}
|
||||
}
|
||||
} else {
|
||||
formatOutput(entries, options)
|
||||
}
|
||||
} catch (error: any) {
|
||||
spinner.fail('Failed to list directory')
|
||||
console.error(chalk.red(error.message))
|
||||
process.exit(1)
|
||||
}
|
||||
},
|
||||
|
||||
/**
|
||||
* Get file/directory stats
|
||||
*/
|
||||
async stat(path: string, options: VFSOptions) {
|
||||
const spinner = ora('Getting file stats...').start()
|
||||
|
||||
try {
|
||||
const brain = getBrainy()
|
||||
const vfs = brain.vfs()
|
||||
await vfs.init()
|
||||
|
||||
const stats = await vfs.stat(path)
|
||||
|
||||
spinner.succeed('Stats retrieved')
|
||||
|
||||
if (!options.json) {
|
||||
console.log(chalk.cyan('\nFile Statistics:'))
|
||||
console.log(` Path: ${path}`)
|
||||
console.log(` Type: ${stats.isDirectory() ? chalk.blue('Directory') : 'File'}`)
|
||||
console.log(` Size: ${formatBytes(stats.size)}`)
|
||||
console.log(` Created: ${formatDate(stats.birthtime)}`)
|
||||
console.log(` Modified: ${formatDate(stats.mtime)}`)
|
||||
console.log(` Accessed: ${formatDate(stats.atime)}`)
|
||||
} else {
|
||||
formatOutput(stats, options)
|
||||
}
|
||||
} catch (error: any) {
|
||||
spinner.fail('Failed to get stats')
|
||||
console.error(chalk.red(error.message))
|
||||
process.exit(1)
|
||||
}
|
||||
},
|
||||
|
||||
/**
|
||||
* Create directory
|
||||
*/
|
||||
async mkdir(path: string, options: VFSOptions & { parents?: boolean }) {
|
||||
const spinner = ora('Creating directory...').start()
|
||||
|
||||
try {
|
||||
const brain = getBrainy()
|
||||
const vfs = brain.vfs()
|
||||
await vfs.init()
|
||||
|
||||
await vfs.mkdir(path, { recursive: options.parents })
|
||||
|
||||
spinner.succeed('Directory created')
|
||||
|
||||
if (!options.json) {
|
||||
console.log(chalk.green(`✓ Created: ${path}`))
|
||||
} else {
|
||||
formatOutput({ path, created: true }, options)
|
||||
}
|
||||
} catch (error: any) {
|
||||
spinner.fail('Failed to create directory')
|
||||
console.error(chalk.red(error.message))
|
||||
process.exit(1)
|
||||
}
|
||||
},
|
||||
|
||||
/**
|
||||
* Remove file or directory
|
||||
*/
|
||||
async rm(path: string, options: VFSOptions & { recursive?: boolean; force?: boolean }) {
|
||||
const spinner = ora('Removing...').start()
|
||||
|
||||
try {
|
||||
const brain = getBrainy()
|
||||
const vfs = brain.vfs()
|
||||
await vfs.init()
|
||||
|
||||
const stats = await vfs.stat(path)
|
||||
|
||||
if (stats.isDirectory()) {
|
||||
await vfs.rmdir(path, { recursive: options.recursive })
|
||||
} else {
|
||||
await vfs.unlink(path)
|
||||
}
|
||||
|
||||
spinner.succeed('Removed successfully')
|
||||
|
||||
if (!options.json) {
|
||||
console.log(chalk.green(`✓ Removed: ${path}`))
|
||||
} else {
|
||||
formatOutput({ path, removed: true }, options)
|
||||
}
|
||||
} catch (error: any) {
|
||||
spinner.fail('Failed to remove')
|
||||
console.error(chalk.red(error.message))
|
||||
if (!options.force) {
|
||||
process.exit(1)
|
||||
}
|
||||
}
|
||||
},
|
||||
|
||||
/**
|
||||
* Search files by content
|
||||
*/
|
||||
async search(query: string, options: VFSOptions & { path?: string; limit?: string; type?: string }) {
|
||||
const spinner = ora('Searching files...').start()
|
||||
|
||||
try {
|
||||
const brain = getBrainy()
|
||||
const vfs = brain.vfs()
|
||||
await vfs.init()
|
||||
|
||||
const results = await vfs.search(query, {
|
||||
path: options.path,
|
||||
limit: options.limit ? parseInt(options.limit) : 10
|
||||
})
|
||||
|
||||
spinner.succeed(`Found ${results.length} results`)
|
||||
|
||||
if (!options.json) {
|
||||
if (results.length === 0) {
|
||||
console.log(chalk.yellow('No results found'))
|
||||
} else {
|
||||
console.log(chalk.cyan('\n📄 Search Results:\n'))
|
||||
|
||||
results.forEach((result, i) => {
|
||||
console.log(chalk.bold(`${i + 1}. ${result.path}`))
|
||||
if (result.score) {
|
||||
console.log(chalk.dim(` Score: ${(result.score * 100).toFixed(1)}%`))
|
||||
}
|
||||
if ((result as any).excerpt) {
|
||||
console.log(chalk.dim(` ${(result as any).excerpt}`))
|
||||
}
|
||||
console.log()
|
||||
})
|
||||
}
|
||||
} else {
|
||||
formatOutput(results, options)
|
||||
}
|
||||
} catch (error: any) {
|
||||
spinner.fail('Search failed')
|
||||
console.error(chalk.red(error.message))
|
||||
process.exit(1)
|
||||
}
|
||||
},
|
||||
|
||||
/**
|
||||
* Find similar files
|
||||
*/
|
||||
async similar(path: string, options: VFSOptions & { limit?: string; threshold?: string }) {
|
||||
const spinner = ora('Finding similar files...').start()
|
||||
|
||||
try {
|
||||
const brain = getBrainy()
|
||||
const vfs = brain.vfs()
|
||||
await vfs.init()
|
||||
|
||||
const results = await vfs.findSimilar(path, {
|
||||
limit: options.limit ? parseInt(options.limit) : 10,
|
||||
threshold: options.threshold ? parseFloat(options.threshold) : 0.7
|
||||
})
|
||||
|
||||
spinner.succeed(`Found ${results.length} similar files`)
|
||||
|
||||
if (!options.json) {
|
||||
if (results.length === 0) {
|
||||
console.log(chalk.yellow('No similar files found'))
|
||||
} else {
|
||||
console.log(chalk.cyan('\n🔗 Similar Files:\n'))
|
||||
|
||||
results.forEach((result, i) => {
|
||||
console.log(chalk.bold(`${i + 1}. ${result.path}`))
|
||||
if (result.score) {
|
||||
console.log(chalk.green(` Similarity: ${(result.score * 100).toFixed(1)}%`))
|
||||
}
|
||||
console.log()
|
||||
})
|
||||
}
|
||||
} else {
|
||||
formatOutput(results, options)
|
||||
}
|
||||
} catch (error: any) {
|
||||
spinner.fail('Failed to find similar files')
|
||||
console.error(chalk.red(error.message))
|
||||
process.exit(1)
|
||||
}
|
||||
},
|
||||
|
||||
/**
|
||||
* Get directory tree structure
|
||||
*/
|
||||
async tree(path: string, options: VFSOptions & { depth?: string }) {
|
||||
const spinner = ora('Building tree...').start()
|
||||
|
||||
try {
|
||||
const brain = getBrainy()
|
||||
const vfs = brain.vfs()
|
||||
await vfs.init()
|
||||
|
||||
const tree = await vfs.getTreeStructure(path, {
|
||||
maxDepth: options.depth ? parseInt(options.depth) : 3
|
||||
})
|
||||
|
||||
spinner.succeed('Tree built')
|
||||
|
||||
if (!options.json) {
|
||||
console.log(chalk.cyan(`\n📁 ${path}\n`))
|
||||
displayTree(tree, '', true)
|
||||
} else {
|
||||
formatOutput(tree, options)
|
||||
}
|
||||
} catch (error: any) {
|
||||
spinner.fail('Failed to build tree')
|
||||
console.error(chalk.red(error.message))
|
||||
process.exit(1)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
function displayTree(node: any, prefix: string, isLast: boolean) {
|
||||
const connector = isLast ? '└── ' : '├── '
|
||||
const name = node.isDirectory ? chalk.blue(node.name + '/') : node.name
|
||||
|
||||
console.log(prefix + connector + name)
|
||||
|
||||
if (node.children && node.children.length > 0) {
|
||||
const childPrefix = prefix + (isLast ? ' ' : '│ ')
|
||||
node.children.forEach((child: any, i: number) => {
|
||||
displayTree(child, childPrefix, i === node.children.length - 1)
|
||||
})
|
||||
}
|
||||
}
|
||||
248
src/cli/index.ts
248
src/cli/index.ts
|
|
@ -8,8 +8,11 @@
|
|||
|
||||
import { Command } from 'commander'
|
||||
import chalk from 'chalk'
|
||||
import ora from 'ora'
|
||||
import { Brainy } from '../brainy.js'
|
||||
import { neuralCommands } from './commands/neural.js'
|
||||
import { coreCommands } from './commands/core.js'
|
||||
import { utilityCommands } from './commands/utility.js'
|
||||
import { vfsCommands } from './commands/vfs.js'
|
||||
import { dataCommands } from './commands/data.js'
|
||||
import conversationCommand from './commands/conversation.js'
|
||||
import { readFileSync } from 'fs'
|
||||
import { fileURLToPath } from 'url'
|
||||
|
|
@ -42,11 +45,29 @@ program
|
|||
.action(coreCommands.add)
|
||||
|
||||
program
|
||||
.command('search <query>')
|
||||
.description('Search the neural database')
|
||||
.command('find <query>')
|
||||
.description('Simple NLP search (just like code: brain.find("query"))')
|
||||
.option('-k, --limit <number>', 'Number of results', '10')
|
||||
.option('-t, --threshold <number>', 'Similarity threshold')
|
||||
.option('--metadata <json>', 'Filter by metadata')
|
||||
.action(coreCommands.search)
|
||||
|
||||
program
|
||||
.command('search <query>')
|
||||
.description('Advanced search with Triple Intelligence™ (vector + graph + field)')
|
||||
.option('-k, --limit <number>', 'Number of results', '10')
|
||||
.option('--offset <number>', 'Skip N results (pagination)')
|
||||
.option('-t, --threshold <number>', 'Similarity threshold (0-1)', '0.7')
|
||||
.option('--type <types>', 'Filter by type(s) - comma separated')
|
||||
.option('--where <json>', 'Metadata filters (JSON)')
|
||||
.option('--near <id>', 'Find items near this ID')
|
||||
.option('--connected-to <id>', 'Connected to this entity')
|
||||
.option('--connected-from <id>', 'Connected from this entity')
|
||||
.option('--via <verbs>', 'Via these relationships - comma separated')
|
||||
.option('--explain', 'Show scoring breakdown')
|
||||
.option('--include-relations', 'Include entity relationships')
|
||||
.option('--fusion <strategy>', 'Fusion strategy (adaptive|weighted|progressive)')
|
||||
.option('--vector-weight <n>', 'Vector search weight (0-1)')
|
||||
.option('--graph-weight <n>', 'Graph search weight (0-1)')
|
||||
.option('--field-weight <n>', 'Field search weight (0-1)')
|
||||
.action(coreCommands.search)
|
||||
|
||||
program
|
||||
|
|
@ -118,10 +139,14 @@ program
|
|||
|
||||
program
|
||||
.command('path <from> <to>')
|
||||
.description('Find semantic path between items')
|
||||
.description('Find semantic path between items (v3.21.0)')
|
||||
.option('--steps', 'Show step-by-step path')
|
||||
.option('--max-hops <number>', 'Maximum path length', '5')
|
||||
.action(neuralCommands.path)
|
||||
.action(() => {
|
||||
console.log(chalk.yellow('\n⚠️ Semantic path finding coming in v3.21.0'))
|
||||
console.log(chalk.dim('This feature requires implementing graph traversal algorithms'))
|
||||
console.log(chalk.dim('Use "brainy neighbors" and "brainy hierarchy" to explore connections'))
|
||||
})
|
||||
|
||||
program
|
||||
.command('outliers')
|
||||
|
|
@ -190,12 +215,217 @@ program
|
|||
})
|
||||
)
|
||||
|
||||
// ===== VFS Commands (Subcommand Group) =====
|
||||
|
||||
program
|
||||
.command('vfs')
|
||||
.description('📁 Virtual File System operations')
|
||||
.addCommand(
|
||||
new Command('read')
|
||||
.argument('<path>', 'File path')
|
||||
.description('Read file from VFS')
|
||||
.option('-o, --output <file>', 'Save to local file')
|
||||
.option('--encoding <encoding>', 'File encoding', 'utf-8')
|
||||
.action((path, options) => {
|
||||
vfsCommands.read(path, options)
|
||||
})
|
||||
)
|
||||
.addCommand(
|
||||
new Command('write')
|
||||
.argument('<path>', 'File path')
|
||||
.description('Write file to VFS')
|
||||
.option('-c, --content <content>', 'File content')
|
||||
.option('-f, --file <file>', 'Read from local file')
|
||||
.option('--encoding <encoding>', 'File encoding', 'utf-8')
|
||||
.action((path, options) => {
|
||||
vfsCommands.write(path, options)
|
||||
})
|
||||
)
|
||||
.addCommand(
|
||||
new Command('ls')
|
||||
.alias('list')
|
||||
.argument('<path>', 'Directory path')
|
||||
.description('List directory contents')
|
||||
.option('-l, --long', 'Long format with details')
|
||||
.option('-a, --all', 'Show hidden files')
|
||||
.action((path, options) => {
|
||||
vfsCommands.ls(path, options)
|
||||
})
|
||||
)
|
||||
.addCommand(
|
||||
new Command('stat')
|
||||
.argument('<path>', 'File/directory path')
|
||||
.description('Get file/directory statistics')
|
||||
.action((path, options) => {
|
||||
vfsCommands.stat(path, options)
|
||||
})
|
||||
)
|
||||
.addCommand(
|
||||
new Command('mkdir')
|
||||
.argument('<path>', 'Directory path')
|
||||
.description('Create directory')
|
||||
.option('-p, --parents', 'Create parent directories')
|
||||
.action((path, options) => {
|
||||
vfsCommands.mkdir(path, options)
|
||||
})
|
||||
)
|
||||
.addCommand(
|
||||
new Command('rm')
|
||||
.argument('<path>', 'File/directory path')
|
||||
.description('Remove file or directory')
|
||||
.option('-r, --recursive', 'Remove recursively')
|
||||
.option('-f, --force', 'Force removal')
|
||||
.action((path, options) => {
|
||||
vfsCommands.rm(path, options)
|
||||
})
|
||||
)
|
||||
.addCommand(
|
||||
new Command('search')
|
||||
.argument('<query>', 'Search query')
|
||||
.description('Search files by content')
|
||||
.option('--path <path>', 'Search within path')
|
||||
.option('-l, --limit <number>', 'Max results', '10')
|
||||
.option('--type <type>', 'File type filter')
|
||||
.action((query, options) => {
|
||||
vfsCommands.search(query, options)
|
||||
})
|
||||
)
|
||||
.addCommand(
|
||||
new Command('similar')
|
||||
.argument('<path>', 'File path')
|
||||
.description('Find similar files')
|
||||
.option('-l, --limit <number>', 'Max results', '10')
|
||||
.option('-t, --threshold <number>', 'Similarity threshold', '0.7')
|
||||
.action((path, options) => {
|
||||
vfsCommands.similar(path, options)
|
||||
})
|
||||
)
|
||||
.addCommand(
|
||||
new Command('tree')
|
||||
.argument('<path>', 'Directory path')
|
||||
.description('Show directory tree')
|
||||
.option('-d, --depth <number>', 'Max depth', '3')
|
||||
.action((path, options) => {
|
||||
vfsCommands.tree(path, options)
|
||||
})
|
||||
)
|
||||
|
||||
// ===== VFS Commands (Backward Compatibility - Deprecated) =====
|
||||
|
||||
program
|
||||
.command('vfs-read <path>')
|
||||
.description('[DEPRECATED] Use: brainy vfs read <path>')
|
||||
.option('-o, --output <file>', 'Save to local file')
|
||||
.option('--encoding <encoding>', 'File encoding', 'utf-8')
|
||||
.action((path, options) => {
|
||||
console.log(chalk.yellow('⚠️ Command "vfs-read" is deprecated. Use: brainy vfs read'))
|
||||
vfsCommands.read(path, options)
|
||||
})
|
||||
|
||||
program
|
||||
.command('vfs-write <path>')
|
||||
.description('[DEPRECATED] Use: brainy vfs write <path>')
|
||||
.option('-c, --content <content>', 'File content')
|
||||
.option('-f, --file <file>', 'Read from local file')
|
||||
.option('--encoding <encoding>', 'File encoding', 'utf-8')
|
||||
.action((path, options) => {
|
||||
console.log(chalk.yellow('⚠️ Command "vfs-write" is deprecated. Use: brainy vfs write'))
|
||||
vfsCommands.write(path, options)
|
||||
})
|
||||
|
||||
program
|
||||
.command('vfs-ls <path>')
|
||||
.alias('vfs-list')
|
||||
.description('[DEPRECATED] Use: brainy vfs ls <path>')
|
||||
.option('-l, --long', 'Long format with details')
|
||||
.option('-a, --all', 'Show hidden files')
|
||||
.action((path, options) => {
|
||||
console.log(chalk.yellow('⚠️ Command "vfs-ls" is deprecated. Use: brainy vfs ls'))
|
||||
vfsCommands.ls(path, options)
|
||||
})
|
||||
|
||||
program
|
||||
.command('vfs-stat <path>')
|
||||
.description('[DEPRECATED] Use: brainy vfs stat <path>')
|
||||
.action((path, options) => {
|
||||
console.log(chalk.yellow('⚠️ Command "vfs-stat" is deprecated. Use: brainy vfs stat'))
|
||||
vfsCommands.stat(path, options)
|
||||
})
|
||||
|
||||
program
|
||||
.command('vfs-mkdir <path>')
|
||||
.description('[DEPRECATED] Use: brainy vfs mkdir <path>')
|
||||
.option('-p, --parents', 'Create parent directories')
|
||||
.action((path, options) => {
|
||||
console.log(chalk.yellow('⚠️ Command "vfs-mkdir" is deprecated. Use: brainy vfs mkdir'))
|
||||
vfsCommands.mkdir(path, options)
|
||||
})
|
||||
|
||||
program
|
||||
.command('vfs-rm <path>')
|
||||
.description('[DEPRECATED] Use: brainy vfs rm <path>')
|
||||
.option('-r, --recursive', 'Remove recursively')
|
||||
.option('-f, --force', 'Force removal')
|
||||
.action((path, options) => {
|
||||
console.log(chalk.yellow('⚠️ Command "vfs-rm" is deprecated. Use: brainy vfs rm'))
|
||||
vfsCommands.rm(path, options)
|
||||
})
|
||||
|
||||
program
|
||||
.command('vfs-search <query>')
|
||||
.description('[DEPRECATED] Use: brainy vfs search <query>')
|
||||
.option('--path <path>', 'Search within path')
|
||||
.option('-l, --limit <number>', 'Max results', '10')
|
||||
.option('--type <type>', 'File type filter')
|
||||
.action((query, options) => {
|
||||
console.log(chalk.yellow('⚠️ Command "vfs-search" is deprecated. Use: brainy vfs search'))
|
||||
vfsCommands.search(query, options)
|
||||
})
|
||||
|
||||
program
|
||||
.command('vfs-similar <path>')
|
||||
.description('[DEPRECATED] Use: brainy vfs similar <path>')
|
||||
.option('-l, --limit <number>', 'Max results', '10')
|
||||
.option('-t, --threshold <number>', 'Similarity threshold', '0.7')
|
||||
.action((path, options) => {
|
||||
console.log(chalk.yellow('⚠️ Command "vfs-similar" is deprecated. Use: brainy vfs similar'))
|
||||
vfsCommands.similar(path, options)
|
||||
})
|
||||
|
||||
program
|
||||
.command('vfs-tree <path>')
|
||||
.description('[DEPRECATED] Use: brainy vfs tree <path>')
|
||||
.option('-d, --depth <number>', 'Max depth', '3')
|
||||
.action((path, options) => {
|
||||
console.log(chalk.yellow('⚠️ Command "vfs-tree" is deprecated. Use: brainy vfs tree'))
|
||||
vfsCommands.tree(path, options)
|
||||
})
|
||||
|
||||
// ===== Data Management Commands =====
|
||||
|
||||
program
|
||||
.command('backup <file>')
|
||||
.description('Create database backup')
|
||||
.option('--compress', 'Compress backup')
|
||||
.action(dataCommands.backup)
|
||||
|
||||
program
|
||||
.command('restore <file>')
|
||||
.description('Restore from backup')
|
||||
.option('--merge', 'Merge with existing data (default: replace)')
|
||||
.action(dataCommands.restore)
|
||||
|
||||
program
|
||||
.command('data-stats')
|
||||
.description('Show detailed database statistics')
|
||||
.action(dataCommands.stats)
|
||||
|
||||
// ===== Utility Commands =====
|
||||
|
||||
program
|
||||
.command('stats')
|
||||
.alias('statistics')
|
||||
.description('Show database statistics')
|
||||
.description('Show quick database statistics')
|
||||
.option('--by-service', 'Group by service')
|
||||
.option('--detailed', 'Show detailed stats')
|
||||
.action(utilityCommands.stats)
|
||||
|
|
|
|||
|
|
@ -7,7 +7,7 @@
|
|||
|
||||
import chalk from 'chalk'
|
||||
import inquirer from 'inquirer'
|
||||
import fuzzy from 'fuzzy'
|
||||
// import fuzzy from 'fuzzy' // TODO: Install fuzzy package or remove dependency
|
||||
import ora from 'ora'
|
||||
import { Brainy } from '../brainy.js'
|
||||
import { getBrainyVersion } from '../utils/version.js'
|
||||
|
|
@ -126,13 +126,13 @@ export async function promptItemId(
|
|||
let choices: any[] = []
|
||||
if (brain) {
|
||||
try {
|
||||
const recent = await brain.search('*', { limit: 10,
|
||||
sortBy: 'timestamp',
|
||||
descending: true
|
||||
const recent = await brain.find({
|
||||
query: '*',
|
||||
limit: 10
|
||||
})
|
||||
|
||||
choices = recent.map(item => ({
|
||||
name: `${item.id} - ${item.content?.substring(0, 50)}...`,
|
||||
name: `${item.id} - ${(item as any).content?.substring(0, 50) || 'No content'}...`,
|
||||
value: item.id,
|
||||
short: item.id
|
||||
}))
|
||||
|
|
@ -497,8 +497,19 @@ export async function promptRelationship(brain?: Brainy): Promise<{
|
|||
* Smart command suggestions when user types wrong command
|
||||
*/
|
||||
export function suggestCommand(input: string, availableCommands: string[]): string[] {
|
||||
const results = fuzzy.filter(input, availableCommands)
|
||||
return results.slice(0, 3).map(r => r.string)
|
||||
// Simple fuzzy matching without external dependency
|
||||
// Filter commands that start with or contain the input
|
||||
const matches = availableCommands
|
||||
.filter(cmd => cmd.toLowerCase().includes(input.toLowerCase()))
|
||||
.sort((a, b) => {
|
||||
// Prefer commands that start with the input
|
||||
const aStarts = a.toLowerCase().startsWith(input.toLowerCase())
|
||||
const bStarts = b.toLowerCase().startsWith(input.toLowerCase())
|
||||
if (aStarts && !bStarts) return -1
|
||||
if (!aStarts && bStarts) return 1
|
||||
return 0
|
||||
})
|
||||
return matches.slice(0, 3)
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
@ -609,6 +620,16 @@ export async function promptCommand(): Promise<string> {
|
|||
return command
|
||||
}
|
||||
|
||||
/**
|
||||
* Start interactive REPL mode
|
||||
*/
|
||||
export async function startInteractiveMode() {
|
||||
console.log(chalk.cyan('\n🧠 Brainy Interactive Mode\n'))
|
||||
console.log(chalk.yellow('Interactive REPL mode coming in v3.20.0\n'))
|
||||
console.log(chalk.dim('Use specific commands for now: brainy add, brainy search, etc.'))
|
||||
process.exit(0)
|
||||
}
|
||||
|
||||
/**
|
||||
* Export all interactive components
|
||||
*/
|
||||
|
|
@ -628,5 +649,6 @@ export default {
|
|||
showError,
|
||||
ProgressTracker,
|
||||
showWelcome,
|
||||
promptCommand
|
||||
promptCommand,
|
||||
startInteractiveMode
|
||||
}
|
||||
|
|
@ -7,7 +7,7 @@
|
|||
"strict": false
|
||||
},
|
||||
"include": [
|
||||
"src/cli/commands/conversation.ts",
|
||||
"src/cli/**/*",
|
||||
"src/mcp/conversationTools.ts",
|
||||
"src/conversation/**/*"
|
||||
],
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue