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