// ==UserScript==
// @name         NOVA Aimbot for Xbox Cloud Gaming
// @namespace    http://tampermonkey.net/
// @version      13
// @description  Aimbot script for automatic aiming and optional shooting in Fortnite with FOV adjustment and controller support.
// @author       You
// @match        https://www.xbox.com/en-US/play/launch/fortnite/BT5P2X999VH2
// @grant        none
// @downloadURL none
// ==/UserScript==

(function () {
    'use strict';

    // Configuration
    const aimAssistConfig = {
        sensitivity: 1.0, // Adjusts how quickly the aim snaps
        detectionInterval: 100, // Milliseconds between detections
        toggleKeys: ['4', 't'], // Keys to toggle aim assist
        assistEnabled: false, // Start with aim assist off
        fov: 90 // Field of View
    };

    // Track key presses for toggling
    let keySequence = [];
    document.addEventListener("keydown", (e) => {
        keySequence.push(e.key.toLowerCase());
        if (keySequence.slice(-2).join('') === aimAssistConfig.toggleKeys.join('')) {
            aimAssistConfig.assistEnabled = !aimAssistConfig.assistEnabled;
            console.log(`Aim assist ${aimAssistConfig.assistEnabled ? 'enabled' : 'disabled'}`);
            keySequence = [];
        }
    });

    // Capture game video feed
    const videoElement = document.querySelector('video'); // Most cloud gaming platforms use <video>
    if (!videoElement) {
        console.error("Video element not found. Make sure you're running this on a cloud gaming page.");
    }

    // Create a canvas for processing the video
    const canvas = document.createElement('canvas');
    const context = canvas.getContext('2d');
    document.body.appendChild(canvas); // Optional: Add canvas to the page for debugging

    // Main detection loop
    async function aimAssistLoop() {
        if (aimAssistConfig.assistEnabled) {
            // Draw the video frame to the canvas
            canvas.width = videoElement.videoWidth;
            canvas.height = videoElement.videoHeight;
            context.drawImage(videoElement, 0, 0, canvas.width, canvas.height);

            // Run object detection (placeholder - replace with your model or detection logic)
            const targets = await detectTargets(canvas); // Implement detectTargets()

            // Simulate aiming if targets are found
            if (targets.length > 0) {
                adjustAimToTarget(targets[0]); // Snap to the first detected target
            }
            drawFOVBox(); // Draw the FOV box
        }
        setTimeout(aimAssistLoop, aimAssistConfig.detectionInterval); // Loop refresh
    }

    // Object detection logic (example placeholder)
    async function detectTargets(canvas) {
        // Use a pre-trained TensorFlow.js or ML5.js model here
        // Placeholder logic: Return a mock target at the center of the canvas
        return [{ x: canvas.width / 2, y: canvas.height / 2 }];
    }

    // Adjust aim (simulate mouse movement)
    function adjustAimToTarget(target) {
        const mouseEvent = new MouseEvent('mousemove', {
            clientX: target.x,
            clientY: target.y,
        });
        document.dispatchEvent(mouseEvent);
        console.log(`Aiming at target: ${target.x}, ${target.y}`);
    }

    // Draw the FOV box
    function drawFOVBox() {
        const ctx = canvas.getContext('2d');
        const crosshairX = canvas.width / 2;
        const crosshairY = canvas.height / 2;
        const fovHalfSize = aimAssistConfig.fov; // Adjust this as needed for visual representation
        
        ctx.strokeStyle = 'green';  // FOV box color
        ctx.strokeRect(crosshairX - fovHalfSize / 2, crosshairY - fovHalfSize / 2, fovHalfSize, fovHalfSize);
    }

    // Start the aim assist loop
    aimAssistLoop();
})();