// Matrix rain effect
document.addEventListener('DOMContentLoaded', function() {
    // Create matrix rain canvas
    const canvas = document.createElement('canvas');
    canvas.className = 'matrix-rain';
    document.body.appendChild(canvas);
    
    const ctx = canvas.getContext('2d');
    canvas.width = window.innerWidth;
    canvas.height = window.innerHeight;
const characters = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz";
const fontSize = 14;
    const columns = canvas.width / fontSize;
    const drops = [];
    
    for (let i = 0; i < columns; i++) {
        drops[i] = 1;
    }
    
    function draw() {
        ctx.fillStyle = 'rgba(0, 0, 0, 0.05)';
        ctx.fillRect(0, 0, canvas.width, canvas.height);
        ctx.fillStyle = '#0ea5e9';
ctx.font = fontSize + 'px monospace';
        
        for (let i = 0; i < drops.length; i++) {
            const text = characters.charAt(Math.floor(Math.random() * characters.length));
            ctx.fillText(text, i * fontSize, drops[i] * fontSize);
            
            if (drops[i] * fontSize > canvas.height && Math.random() > 0.975) {
                drops[i] = 0;
            }
            
            drops[i]++;
        }
    }
    
    setInterval(draw, 33);
    
    // Randomly blink some text
    setInterval(() => {
        const randomLine = Math.floor(Math.random() * 13) + 1;
        const line = document.querySelector(`.typing-animation p:nth-child(${randomLine})`);
        if (line) {
            line.classList.add('text-matrix-200');
            setTimeout(() => {
                line.classList.remove('text-matrix-200');
            }, 200);
        }
    }, 1000);
    
    // Resize handler
    window.addEventListener('resize', () => {
        canvas.width = window.innerWidth;
        canvas.height = window.innerHeight;
    });
    
    // Add some random terminal commands after initial animation
    setTimeout(() => {
        const terminal = document.querySelector('.typing-animation');
        const commands = [
            "$ git add .",
            "$ git commit -m 'Add model training script'",
            "$ python test.py",
            "Running unit tests...",
            "12 tests passed",
            "$ tensorboard --logdir=logs",
            "TensorBoard running at http://localhost:6006",
            "$ docker build -t ai-tool .",
            "Building Docker image...",
            "Successfully built 1a2b3c4d5e6f",
            "$ docker run -p 5000:5000 ai-tool",
            "AI service started successfully"
        ];
let delay = 25000; // Start after initial animation
        
        commands.forEach(cmd => {
            setTimeout(() => {
                const p = document.createElement('p');
                p.className = 'text-matrix-300 mb-4';
                p.textContent = cmd;
                terminal.appendChild(p);
                
                // Scroll to bottom
                terminal.parentElement.scrollTop = terminal.parentElement.scrollHeight;
            }, delay);
            delay += 2000;
        });
    }, 25000);
});