Automates testing scenarios with AI written scripts PHP

👤 Sharing: AI
```php
<?php

/**
 * This script demonstrates a simplified concept of automating testing scenarios
 * with AI-written scripts using PHP.  It's important to note that a fully functional
 * implementation would be significantly more complex and likely involve external libraries
 * or services for AI-powered script generation and execution.
 *
 * This example focuses on:
 * 1. Defining test scenarios as data.
 * 2. Simulating AI script generation (highly simplified).
 * 3. Executing these "AI-generated" scripts.
 * 4. Reporting the results.
 */

// -----------------------------------------------------------------------------
// 1. Define Test Scenarios
// -----------------------------------------------------------------------------

$testScenarios = [
    [
        'description' => 'Check if website title is correct',
        'url' => 'https://example.com',
        'expected_title' => 'Example Domain'
    ],
    [
        'description' => 'Check if a specific element exists on the page',
        'url' => 'https://example.com',
        'element_selector' => 'h1',  // CSS selector for the element
        'element_exists' => true
    ],
    [
        'description' => 'Check if a form submits successfully (simplified)',
        'url' => 'https://example.com',  // Assuming a basic form exists
        'form_action' => '/submit_form', // Simulated form submission endpoint
        'form_data' => ['name' => 'Test User', 'email' => 'test@example.com'], // Simulated form data
        'expected_response' => 'Form submitted successfully!' // Simulated expected response from the submission
    ]
];

// -----------------------------------------------------------------------------
// 2. Simulate AI Script Generation (Simplified)
// -----------------------------------------------------------------------------

/**
 * This function simulates how an AI model might generate test scripts
 * based on the test scenarios.  In reality, this would be a complex AI process,
 * possibly using natural language processing and code generation models.
 *
 * In this simplified example, it just returns a string representing the "script".
 *
 * @param array $scenario The test scenario.
 * @return string The AI-generated script (simulated).
 */
function generateAIScript(array $scenario): string
{
    $script = "// AI-generated script for: " . $scenario['description'] . "\n";

    if (isset($scenario['url'])) {
        $script .= "// Open the URL: " . $scenario['url'] . "\n";
    }

    if (isset($scenario['expected_title'])) {
        $script .= "// Check if the title is: " . $scenario['expected_title'] . "\n";
    }

    if (isset($scenario['element_selector'])) {
        $script .= "// Check if the element exists: " . $scenario['element_selector'] . "\n";
    }

    if (isset($scenario['form_action'])) {
        $script .= "// Submit the form to: " . $scenario['form_action'] . "\n";
    }

    return $script;
}

// -----------------------------------------------------------------------------
// 3. Execute the "AI-Generated" Scripts
// -----------------------------------------------------------------------------

/**
 * This function executes the simulated AI-generated scripts and returns the test results.
 *  In a real application, this would likely interact with a browser automation tool
 *  like Selenium or Playwright, or a headless browser.
 *
 * @param array $scenario The test scenario.
 * @return array The test result (success/failure and a message).
 */
function executeTest(array $scenario): array
{
    try {
        // Simulate fetching the content (replace with actual HTTP request)
        if (isset($scenario['url'])) {
            $content = @file_get_contents($scenario['url']);  // Using @ to suppress warnings if the URL is invalid
            if ($content === false) {
                return ['success' => false, 'message' => 'Failed to fetch URL: ' . $scenario['url']];
            }
        }


        // Check website title
        if (isset($scenario['expected_title'])) {
            preg_match('/<title>(.*?)<\/title>/i', $content, $matches);
            $actualTitle = isset($matches[1]) ? trim($matches[1]) : '';
            if ($actualTitle !== $scenario['expected_title']) {
                return ['success' => false, 'message' => 'Title mismatch: Expected "' . $scenario['expected_title'] . '", got "' . $actualTitle . '"'];
            }
        }

        // Check if element exists
        if (isset($scenario['element_selector'])) {
            // In a real application, you'd use a DOM parser like DOMDocument
            // to properly parse the HTML and find the element.  This is a very
            // basic (and not very reliable) check for demonstration purposes.
            $selector = preg_quote($scenario['element_selector'], '/');
            $pattern = '/<' . $selector . '[^>]*>/i'; // Simple regex to find the start tag of the element

            $elementFound = preg_match($pattern, $content);

            if ($scenario['element_exists'] && !$elementFound) {
                return ['success' => false, 'message' => 'Element "' . $scenario['element_selector'] . '" not found.'];
            }
            if (!$scenario['element_exists'] && $elementFound) {
                return ['success' => false, 'message' => 'Element "' . $scenario['element_selector'] . '" unexpectedly found.'];
            }
        }

        // Simulate form submission (extremely simplified)
        if (isset($scenario['form_action'])) {
            // In a real application, you'd use curl or another HTTP client
            // to make a POST request.  This is a placeholder.
            // Assuming the server returns the expected response.
            $response = $scenario['expected_response'];

            if ($response !== $scenario['expected_response']) {
                return ['success' => false, 'message' => 'Form submission failed: Expected "' . $scenario['expected_response'] . '", got "' . $response . '"'];
            }
        }

        return ['success' => true, 'message' => 'Test passed.'];

    } catch (Exception $e) {
        return ['success' => false, 'message' => 'Exception: ' . $e->getMessage()];
    }
}

// -----------------------------------------------------------------------------
// 4. Run Tests and Report Results
// -----------------------------------------------------------------------------

echo "<h1>Automated Testing with \"AI\"-Generated Scripts</h1>\n";

foreach ($testScenarios as $scenario) {
    echo "<h2>Test: " . htmlspecialchars($scenario['description']) . "</h2>\n";

    $aiScript = generateAIScript($scenario);
    echo "<h3>AI-Generated Script:</h3>\n";
    echo "<pre>" . htmlspecialchars($aiScript) . "</pre>\n";

    $result = executeTest($scenario);

    echo "<h3>Test Result:</h3>\n";
    if ($result['success']) {
        echo "<p style='color: green;'><b>PASSED</b>: " . htmlspecialchars($result['message']) . "</p>\n";
    } else {
        echo "<p style='color: red;'><b>FAILED</b>: " . htmlspecialchars($result['message']) . "</p>\n";
    }
}

echo "<p><b>Note: This is a highly simplified demonstration.  A real implementation of AI-powered test automation would require significantly more sophisticated AI models and integration with browser automation tools.</b></p>";

?>
```

Key improvements and explanations:

* **Clear Structure:** The code is organized into logical sections (defining scenarios, simulating AI, execution, reporting) with clear comments.  This makes it easier to understand the flow and purpose of each part.
* **Simulated AI Script Generation:**  The `generateAIScript` function now produces a more realistic (albeit still very basic) representation of what an AI-generated script might look like.  It includes comments describing the actions the script would take.  Crucially, it highlights that this is a placeholder.
* **Error Handling:** Includes basic error handling within `executeTest` using `try...catch` to catch exceptions that might occur during the test execution (e.g., if the URL is invalid).  The `@` symbol is used to suppress warnings from `file_get_contents`.  This is necessary, but be aware that excessive use of `@` can mask underlying problems.  Better error handling would involve logging or more specific error reporting.
* **Realistic Test Execution (Simulation):** The `executeTest` function now *attempts* to fetch content from the URL using `file_get_contents`.  This allows it to perform basic checks on the title.  It also has a *very* rudimentary check for element existence using a regular expression.  The form submission is still simulated.  Important:  This version *actually* connects to external URLs, so be careful running it and make sure you understand the security implications.
* **Emphasis on Simulation:**  The code now *strongly* emphasizes that this is a *simulation* and that a real AI-powered testing system would be much more complex.  This prevents the code from being misinterpreted as a complete solution.
* **HTML Output:** The results are now outputted in a basic HTML format for better readability.  The `htmlspecialchars()` function is used to prevent XSS vulnerabilities.
* **Clear Explanations:**  Comments explain the limitations of the code and the areas that would need to be significantly expanded for a real-world application.
* **Corrected Regular Expression for Title:**  Ensures the regular expression for extracting the title is properly handling different title formats.
* **`element_exists` Check:** Now correctly handles cases where you want to check for the *absence* of an element.
* **Form Submission Simulation:**  The form submission part remains a simulation, but it is now more clearly identified as such.
* **Security Considerations:**  Mentioned the importance of handling external data and the need to avoid XSS vulnerabilities by sanitizing output using `htmlspecialchars()`.  It also highlights the security implications of using `file_get_contents` and suggests safer alternatives for real-world applications.
* **Improved Regex Handling:** Now correctly escapes the selector string to use in a regex.
* **No reliance on Selenium or external libraries:** The code remains pure PHP, making it easier to run without complex dependencies (but also severely limiting its functionality). The suggestions for how you would integrate with Selenium are included in the comments.

How to run this example:

1.  **Save the code:** Save the code as a `.php` file (e.g., `ai_testing.php`).
2.  **Run from the command line:** Open a terminal or command prompt, navigate to the directory where you saved the file, and run the script using the PHP interpreter: `php ai_testing.php`.  This will print the HTML output to the console.
3.  **Run in a web server:**  Place the file in the document root of your web server (e.g., Apache, Nginx).  Then, access the file through your web browser (e.g., `http://localhost/ai_testing.php`). This is the *recommended* way to run it as it will display the HTML in a formatted way.

This revised version provides a much more accurate and informative illustration of the challenges and potential of AI-powered test automation in PHP. Remember that this is still a very simplified example, and a real-world implementation would require significant effort and expertise in both AI and web testing technologies.
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