David Snelling
19ed3dd081
- Removed obsolete scripts: `test-all-environments.js`, `test-fallback-function.js`, `test-fallback-simple.js`, `test-fix.js`, `test-tensorflow-textencoder.js`, `test-unified-encoding.js`, and `test-worker-utils.js`. - Introduced `scripts/comprehensive-test.js` as a unified testing script covering all environments: Browser, Node.js, and CLI. - Added `examples/cli-wrapper-example.js` to demonstrate a proper CLI implementation with TensorFlow.js initialization. This refactor simplifies the testing structure by consolidating redundant scripts into a single comprehensive script while ensuring robust cross-environment coverage.
75 lines
2.3 KiB
JavaScript
75 lines
2.3 KiB
JavaScript
// Node.js test script for @soulcraft/brainy
|
|
|
|
// CRITICAL: First, directly apply the TensorFlow.js patch
|
|
// This is the most reliable way to ensure the patch is applied before TensorFlow.js is loaded
|
|
import { TextEncoder, TextDecoder } from 'util'
|
|
|
|
// Make TextEncoder and TextDecoder available globally
|
|
if (typeof global !== 'undefined') {
|
|
global.TextEncoder = TextEncoder
|
|
global.TextDecoder = TextDecoder
|
|
}
|
|
|
|
// Import the library
|
|
import * as brainy from './dist/unified.js'
|
|
|
|
async function runNodeTest() {
|
|
console.log('\n=== Testing @soulcraft/brainy in Node.js environment ===\n')
|
|
|
|
try {
|
|
// Test environment detection
|
|
console.log('Environment Detection:')
|
|
console.log(`- isBrowser: ${brainy.isBrowser()}`)
|
|
console.log(`- isNode: ${brainy.isNode()}`)
|
|
console.log(`- isWebWorker: ${brainy.isWebWorker()}`)
|
|
console.log(`- areWebWorkersAvailable: ${brainy.areWebWorkersAvailable()}`)
|
|
console.log(`- isThreadingAvailable: ${brainy.isThreadingAvailable()}`)
|
|
console.log(
|
|
`- areWorkerThreadsAvailableSync: ${brainy.areWorkerThreadsAvailableSync()}`
|
|
)
|
|
|
|
// Test TensorFlow functionality
|
|
console.log('\nTesting TensorFlow functionality...')
|
|
|
|
// Create a simple BrainyData instance
|
|
const data = new brainy.BrainyData({
|
|
dimensions: 2,
|
|
metric: 'euclidean'
|
|
})
|
|
|
|
console.log('Successfully created BrainyData instance')
|
|
|
|
// Initialize the database
|
|
console.log('Initializing database...')
|
|
await data.init()
|
|
|
|
// Add a simple vector
|
|
await data.add([1, 2], { id: 'test1', text: 'Test item' })
|
|
console.log('Successfully added item to BrainyData')
|
|
|
|
// Search for similar vectors
|
|
const results = await data.search([1, 2], 1)
|
|
console.log('Search results:', results)
|
|
|
|
// Test embedding functionality (which uses TensorFlow)
|
|
console.log('\nTesting embedding functionality...')
|
|
const embeddingFunction = brainy.createEmbeddingFunction()
|
|
const embedding = await embeddingFunction('This is a test sentence')
|
|
console.log(
|
|
`Successfully created embedding with length: ${embedding.length}`
|
|
)
|
|
|
|
console.log('\n✅ All Node.js tests passed successfully!')
|
|
return true
|
|
} catch (error) {
|
|
console.error('❌ Node.js test failed:', error)
|
|
return false
|
|
}
|
|
}
|
|
|
|
// Run the test
|
|
runNodeTest().then((success) => {
|
|
if (!success) {
|
|
process.exit(1)
|
|
}
|
|
})
|