S7_snap7_Stremer_n_Recorder/testing/playwright-mcp-global.js

#!/usr/bin/env node

/**
 * Global Playwright MCP-like Automation Script
 * This script can be used across multiple projects
 */

import { chromium, firefox, webkit } from 'playwright';
import { program } from 'commander';
import fs from 'fs/promises';
import path from 'path';

program
  .name('playwright-mcp')
  .description('Playwright MCP-like automation tool for web applications')
  .version('1.0.0');

program
  .command('test')
  .description('Run automated tests')
  .option('-b, --browser <type>', 'Browser type (chromium, firefox, webkit)', 'chromium')
  .option('-h, --headless', 'Run in headless mode', false)
  .option('-u, --url <url>', 'Base URL to test', 'http://localhost:3000')
  .action(async (options) => {
    const { browser, headless, url } = options;
    console.log(`Running tests with ${browser} browser on ${url}`);
    
    // Your test logic here
    await runTests({ browser, headless, url });
  });

program
  .command('capture')
  .description('Capture screenshots of application')
  .option('-b, --browser <type>', 'Browser type', 'chromium')
  .option('-u, --url <url>', 'URL to capture', 'http://localhost:3000')
  .option('-o, --output <dir>', 'Output directory', './screenshots')
  .action(async (options) => {
    await captureScreenshots(options);
  });

program
  .command('monitor')
  .description('Monitor application performance')
  .option('-b, --browser <type>', 'Browser type', 'chromium')
  .option('-u, --url <url>', 'URL to monitor', 'http://localhost:3000')
  .option('-d, --duration <seconds>', 'Monitoring duration', '60')
  .action(async (options) => {
    await monitorPerformance(options);
  });

async function runTests({ browser, headless, url }) {
  const browserInstance = await launchBrowser(browser, { headless });
  const context = await browserInstance.newContext();
  const page = await context.newPage();
  
  try {
    await page.goto(url);
    await page.waitForLoadState('networkidle');
    
    // Basic connectivity test
    const title = await page.title();
    console.log(`Page title: ${title}`);
    
    // Check for common elements
    const links = await page.locator('a').count();
    const buttons = await page.locator('button').count();
    
    console.log(`Found ${links} links and ${buttons} buttons`);
    
    // Performance metrics
    const metrics = await page.evaluate(() => {
      const navigation = performance.getEntriesByType('navigation')[0];
      return {
        loadTime: navigation.loadEventEnd - navigation.loadEventStart,
        domContentLoaded: navigation.domContentLoadedEventEnd - navigation.domContentLoadedEventStart,
        firstPaint: performance.getEntriesByName('first-paint')[0]?.startTime || 0
      };
    });
    
    console.log('Performance metrics:', metrics);
    
  } catch (error) {
    console.error('Test failed:', error);
  } finally {
    await context.close();
    await browserInstance.close();
  }
}

async function captureScreenshots({ browser, url, output }) {
  const browserInstance = await launchBrowser(browser, { headless: true });
  const context = await browserInstance.newContext();
  const page = await context.newPage();
  
  try {
    await page.goto(url);
    await page.waitForLoadState('networkidle');
    
    // Create output directory
    await fs.mkdir(output, { recursive: true });
    
    // Full page screenshot
    await page.screenshot({
      path: path.join(output, 'full-page.png'),
      fullPage: true
    });
    
    // Viewport screenshot
    await page.screenshot({
      path: path.join(output, 'viewport.png')
    });
    
    console.log(`Screenshots saved to ${output}`);
    
  } catch (error) {
    console.error('Screenshot capture failed:', error);
  } finally {
    await context.close();
    await browserInstance.close();
  }
}

async function monitorPerformance({ browser, url, duration }) {
  const browserInstance = await launchBrowser(browser, { headless: true });
  const context = await browserInstance.newContext();
  const page = await context.newPage();
  
  const metrics = [];
  const startTime = Date.now();
  const durationMs = parseInt(duration) * 1000;
  
  try {
    await page.goto(url);
    
    // Monitor performance every 5 seconds
    const interval = setInterval(async () => {
      const currentMetrics = await page.evaluate(() => {
        return {
          timestamp: Date.now(),
          memory: performance.memory ? {
            usedJSHeapSize: performance.memory.usedJSHeapSize,
            totalJSHeapSize: performance.memory.totalJSHeapSize,
            jsHeapSizeLimit: performance.memory.jsHeapSizeLimit
          } : null,
          timing: performance.timing
        };
      });
      
      metrics.push(currentMetrics);
      console.log(`Memory usage: ${(currentMetrics.memory?.usedJSHeapSize / 1024 / 1024).toFixed(2)} MB`);
    }, 5000);
    
    // Stop monitoring after duration
    setTimeout(() => {
      clearInterval(interval);
    }, durationMs);
    
    // Wait for monitoring to complete
    await new Promise(resolve => setTimeout(resolve, durationMs));
    
    // Save metrics
    await fs.writeFile('performance-monitor.json', JSON.stringify(metrics, null, 2));
    console.log('Performance monitoring completed. Data saved to performance-monitor.json');
    
  } catch (error) {
    console.error('Performance monitoring failed:', error);
  } finally {
    await context.close();
    await browserInstance.close();
  }
}

async function launchBrowser(type, options = {}) {
  const browsers = {
    chromium: chromium,
    firefox: firefox,
    webkit: webkit
  };
  
  const defaultOptions = {
    headless: false,
    slowMo: 100
  };
  
  return await browsers[type].launch({ ...defaultOptions, ...options });
}

// Parse command line arguments
program.parse();