DeveloperBreeze

Execute Python Code Using Skulpt

// Configure Skulpt to handle output and file reading
Sk.configure({
    output: function (text) {
        // Capture output from Python code and log it to the console
        console.log(text);
    },
    read: function (filename) {
        // Simulate file reading; replace with actual logic if necessary
        if (filename === '<stdin>') {
            return 'print("Hello, Skulpt!")';
        } else {
            throw new Error('File not found: ' + filename);
        }
    },
});

// Define the Python code to execute
const pythonCode = `
print("Hello, Skulpt!")
print("This is Python code running in JavaScript.")
`;

// Execute the Python code using Skulpt
Sk.misceval
    .asyncToPromise(() => {
        return Sk.importMainWithBody('<stdin>', false, pythonCode, true);
    })
    .then(
        (module) => {
            console.log('Python code executed successfully.');
        },
        (error) => {
            console.error('Error running Python code:', error.toString());
        }
    );

Description:

This JavaScript snippet demonstrates how to execute Python code within a browser using Skulpt, a JavaScript implementation of Python. Here's a breakdown of what the code does:

  • Skulpt Configuration:
  • Sk.configure sets up Skulpt with custom functions for output and file reading.
  • output Function: Captures and logs output from the Python code to the browser's console.
  • read Function: Simulates file reading for Skulpt. If <stdin> is requested, it returns predefined Python code. Otherwise, it throws an error indicating the file wasn't found.
  • Defining Python Code:
  • The pythonCode variable contains the Python code to be executed. In this example, it prints two messages:
    print("Hello, Skulpt!")
    print("This is Python code running in JavaScript.")
  • Executing the Python Code:
  • Sk.misceval.asyncToPromise runs the Python code asynchronously.
  • It calls Sk.importMainWithBody to execute the code as the main module.
  • Success Callback: If execution is successful, it logs a success message to the console.
  • Error Callback: If an error occurs during execution, it catches the error and logs an error message.
  • Purpose of the Code:
  • This setup allows developers to run Python scripts directly in the browser without needing a server-side interpreter.
  • It's useful for educational tools, interactive tutorials, or any application that benefits from executing Python code on the client side.

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