// 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 try { // 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 { // Try wrapping in parentheses for function expressions fn = new Function('return (' + e.data.fnString + ')')() } catch (wrapError) { console.warn( 'Brainy Worker: Error creating function with parentheses wrapping', wrapError ) try { // 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 }) } }