// Brainy Worker Script
// This script is used by the workerUtils.js file to execute functions in a separate thread
// Note: TensorFlow.js platform patch is applied in setup.ts
// Worker scripts should import setup.ts if they need TensorFlow.js functionality
// Log that the worker has started
console.log('Brainy Worker: Started')
// Define the message handler with proper TypeScript typing
self.onmessage = function (e: MessageEvent): void {
try {
console.log(
'Brainy Worker: Received message',
e.data ? 'with data' : 'without data'
)
if (!e.data || !e.data.fnString) {
throw new Error('Invalid message: missing function string')
}
console.log('Brainy Worker: Creating function from string')
// Use Function constructor to create a function from the string
let fn
// First try with 'return' prefix
fn = new Function('return ' + e.data.fnString)()
} catch (functionError) {
console.warn(
'Brainy Worker: Error creating function with return syntax, trying alternative approaches',
functionError
// Try wrapping in parentheses for function expressions
fn = new Function('return (' + e.data.fnString + ')')()
} catch (wrapError) {
'Brainy Worker: Error creating function with parentheses wrapping',
wrapError
// Try direct approach for named functions
fn = new Function(e.data.fnString)()
} catch (directError) {
console.error(
'Brainy Worker: All approaches to create function failed',
directError
throw new Error(
'Failed to create function from string: ' +
(functionError as Error).message
console.log('Brainy Worker: Executing function with args')
const result = fn(e.data.args)
console.log('Brainy Worker: Function executed successfully, posting result')
self.postMessage({ result: result })
} catch (error: any) {
console.error('Brainy Worker: Error executing function', error)
self.postMessage({
error: error.message,
stack: error.stack
})