brainy/src/cli.ts

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#!/usr/bin/env node
/**
* Brainy CLI
* A command-line interface for interacting with the Brainy vector database
*/
import { BrainyData, NounType, VerbType, FileSystemStorage } from './index.js'
import { fileURLToPath } from 'url'
import { dirname, join } from 'path'
import fs from 'fs'
import { Command } from 'commander'
import omelette from 'omelette'
// Get the directory of the current module
const __filename = fileURLToPath(import.meta.url)
const __dirname = dirname(__filename)
// Import package.json for version info
const packageJson = {
name: '@soulcraft/brainy',
version: '0.6.0',
description: 'A vector database using HNSW indexing with Origin Private File System storage'
}
// Helper function to parse JSON safely
function parseJSON(str: string): any {
try {
return JSON.parse(str)
} catch (e) {
console.error('Error parsing JSON:', (e as Error).message)
return {}
}
}
// Helper function to resolve noun type
function resolveNounType(type: string | number | undefined): NounType {
if (!type) return NounType.Thing
// If it's a string, try to match it to a NounType
if (typeof type === 'string') {
const nounTypeKey = Object.keys(NounType).find(
key => key.toLowerCase() === type.toLowerCase()
)
return nounTypeKey ? NounType[nounTypeKey as keyof typeof NounType] : NounType.Thing
}
// Convert number to string type for safety
return Object.values(NounType)[type as number] || NounType.Thing
}
// Helper function to resolve verb type
function resolveVerbType(type: string | number | undefined): VerbType {
if (!type) return VerbType.RelatedTo
// If it's a string, try to match it to a VerbType
if (typeof type === 'string') {
const verbTypeKey = Object.keys(VerbType).find(
key => key.toLowerCase() === type.toLowerCase()
)
return verbTypeKey ? VerbType[verbTypeKey as keyof typeof VerbType] : VerbType.RelatedTo
}
// Convert number to string type for safety
return Object.values(VerbType)[type as number] || VerbType.RelatedTo
}
// Create a new Command instance
const program = new Command()
// Configure the program
program
.name(packageJson.name)
.description(packageJson.description)
.version(packageJson.version)
// Create data directory if it doesn't exist
const dataDir = join(__dirname, '..', 'data')
if (!fs.existsSync(dataDir)) {
fs.mkdirSync(dataDir, { recursive: true })
}
// Create a database instance with file system storage
const createDb = () => {
return new BrainyData({
storageAdapter: new FileSystemStorage(dataDir)
})
}
// Define commands
program
.command('init')
.description('Initialize a new database')
.action(async () => {
try {
const db = createDb()
await db.init()
console.log('Database initialized successfully')
} catch (error) {
console.error('Error:', (error as Error).message)
process.exit(1)
}
})
program
.command('add')
.description('Add a new noun with the given text and optional metadata')
.argument('<text>', 'Text to add as a noun')
.argument('[metadata]', 'Optional metadata as JSON string')
.action(async (text, metadataStr) => {
try {
const db = createDb()
await db.init()
const metadata = metadataStr ? parseJSON(metadataStr) : {}
// Process metadata to handle noun type
if (metadata.noun) {
metadata.noun = resolveNounType(metadata.noun)
}
const id = await db.add(text, metadata)
console.log(`Added noun with ID: ${id}`)
} catch (error) {
console.error('Error:', (error as Error).message)
process.exit(1)
}
})
program
.command('search')
.description('Search for nouns similar to the query')
.argument('<query>', 'Search query text')
.option('-l, --limit <number>', 'Maximum number of results to return', '5')
.action(async (query, options) => {
try {
const db = createDb()
await db.init()
const limit = parseInt(options.limit, 10)
const results = await db.searchText(query, limit)
console.log(`Search results for "${query}":`)
results.forEach((result, index) => {
console.log(`${index + 1}. ID: ${result.id}`)
console.log(` Score: ${result.score.toFixed(4)}`)
console.log(` Metadata: ${JSON.stringify(result.metadata)}`)
console.log(` Vector: [${result.vector.slice(0, 3).map(v => v.toFixed(2)).join(', ')}...]`)
console.log()
})
} catch (error) {
console.error('Error:', (error as Error).message)
process.exit(1)
}
})
program
.command('get')
.description('Get a noun by ID')
.argument('<id>', 'ID of the noun to get')
.action(async (id) => {
try {
const db = createDb()
await db.init()
const noun = await db.get(id)
if (noun) {
console.log(`Noun ID: ${noun.id}`)
console.log(`Metadata: ${JSON.stringify(noun.metadata)}`)
console.log(`Vector: [${noun.vector.slice(0, 5).map(v => v.toFixed(2)).join(', ')}...]`)
} else {
console.log(`No noun found with ID: ${id}`)
}
} catch (error) {
console.error('Error:', (error as Error).message)
process.exit(1)
}
})
program
.command('delete')
.description('Delete a noun by ID')
.argument('<id>', 'ID of the noun to delete')
.action(async (id) => {
try {
const db = createDb()
await db.init()
await db.delete(id)
console.log(`Deleted noun with ID: ${id}`)
} catch (error) {
console.error('Error:', (error as Error).message)
process.exit(1)
}
})
program
.command('addVerb')
.description('Add a relationship between nouns')
.argument('<sourceId>', 'ID of the source noun')
.argument('<targetId>', 'ID of the target noun')
.argument('<verbType>', 'Type of relationship')
.argument('[metadata]', 'Optional metadata as JSON string')
.action(async (sourceId, targetId, verbTypeStr, metadataStr) => {
try {
const db = createDb()
await db.init()
const verbType = resolveVerbType(verbTypeStr)
const verbMetadata = metadataStr ? parseJSON(metadataStr) : {}
// Add verb type to metadata
verbMetadata.verb = verbType
const verbId = await db.addVerb(sourceId, targetId, undefined, {
type: verbType,
metadata: verbMetadata
})
console.log(`Added verb with ID: ${verbId}`)
} catch (error) {
console.error('Error:', (error as Error).message)
process.exit(1)
}
})
program
.command('getVerbs')
.description('Get all relationships for a noun')
.argument('<id>', 'ID of the noun to get relationships for')
.action(async (id) => {
try {
const db = createDb()
await db.init()
const verbs = await db.getVerbsBySource(id)
console.log(`Relationships for noun ${id}:`)
if (verbs.length === 0) {
console.log('No relationships found')
} else {
verbs.forEach((verb, index) => {
console.log(`${index + 1}. ID: ${verb.id}`)
console.log(` Type: ${Object.keys(VerbType).find(key => VerbType[key as keyof typeof VerbType] === verb.metadata.verb) || verb.metadata.verb}`)
console.log(` Target: ${verb.targetId}`)
console.log(` Metadata: ${JSON.stringify(verb.metadata)}`)
console.log()
})
}
} catch (error) {
console.error('Error:', (error as Error).message)
process.exit(1)
}
})
program
.command('status')
.description('Show database status')
.action(async () => {
try {
const db = createDb()
await db.init()
const status = await db.status()
console.log('Database Status:')
console.log(`Storage type: ${status.type}`)
console.log(`Storage used: ${status.used} bytes`)
console.log(`Storage quota: ${status.quota !== null ? `${status.quota} bytes` : 'unlimited'}`)
// Display additional details if available
if (status.details) {
console.log('Additional details:')
Object.entries(status.details).forEach(([key, value]) => {
console.log(` ${key}: ${JSON.stringify(value)}`)
})
}
} catch (error) {
console.error('Error:', (error as Error).message)
process.exit(1)
}
})
// Add examples to help text
program.addHelpText('after', `
Examples:
$ brainy init
$ brainy add "Cats are independent pets" '{"noun":"Thing","category":"animal"}'
$ brainy search "feline pets" --limit 5
$ brainy addVerb id1 id2 RelatedTo '{"description":"Both are pets"}'
`)
// Setup autocomplete
const completion = omelette('brainy')
// Helper function to get all noun types
const getNounTypes = () => Object.keys(NounType)
// Helper function to get all verb types
const getVerbTypes = () => Object.keys(VerbType)
// Define autocomplete handlers
completion.tree({
// First level commands - suggest all available commands
_: () => [
'add',
'addVerb',
'search',
'get',
'delete',
'getVerbs',
'status',
'completion-setup',
'init',
'help'
],
// Command-specific completions
add: {
// For the second argument of 'add' command (metadata)
_: () => {
// Generate templates for each noun type
return getNounTypes().map(type =>
`{"noun":"${type}","category":"example"}`
)
}
},
addVerb: {
// First two arguments are IDs, third is verb type
'<sourceId>': {
'<targetId>': {
_: () => {
// Suggest all available verb types
return getVerbTypes()
}
}
}
},
// Add autocomplete for other commands
search: {},
get: {},
delete: {},
getVerbs: {},
status: {},
'completion-setup': {},
init: {},
help: {}
})
// Initialize autocomplete
completion.init()
// If this script is run with --completion-setup flag, set up the autocomplete
if (process.argv.includes('--completion-setup')) {
completion.setupShellInitFile()
console.log('Autocomplete setup complete. Please restart your shell.')
process.exit(0)
}
// Add a command for setting up autocomplete
program
.command('completion-setup')
.description('Setup shell autocomplete for the Brainy CLI')
.action(() => {
completion.setupShellInitFile()
console.log('Autocomplete setup complete. Please restart your shell.')
})
// Parse command line arguments
program.parse()