carCanvas.height=window.innerHeight;
carCanvas.width=200;
networkCanvas.height=window.innerHeight;
networkCanvas.width=298;

const carCtx=carCanvas.getContext("2d");
const networkCtx=networkCanvas.getContext("2d");
const road=new Road(carCanvas.width/2,carCanvas.width*0.9);
const N=100;
const cars=generateCars(N);
const traffic=[
    new Car(100,-100,30,50,"DUMMY",2)
];
let bestCar=cars[0];
if(localStorage.getItem("bestBrain")){
    for(let i=0;i<cars.length;i++){
        cars[i].brain=JSON.parse(
            localStorage.getItem("bestBrain"));
        if(i>0){
            NeuralNetwork.mutate(cars[i].brain,0.2);
        }
    }
}

animate();

function animate(){
    for(let i=0;i<traffic.length;i++){
        traffic[i].update([],[]);
    }
    for(let i=0;i<cars.length;i++){
        cars[i].update(road.borders,traffic);
    }
    bestCar=cars.find(
        c=>c.y==Math.min(
            ...cars.map(c=>c.y)
        ));

    carCanvas.height=window.innerHeight;
    networkCanvas.height=window.innerHeight;
    
    carCtx.translate(0,-bestCar.y+carCanvas.height*0.7);
    road.draw(carCtx);
    for(let i=0;i<traffic.length;i++){
        traffic[i].draw(carCtx);
    }
    carCtx.globalAlpha=0.2;
    for(let i=0;i<cars.length;i++){
        cars[i].draw(carCtx);
    }
    carCtx.globalAlpha=1;
    bestCar.draw(carCtx,true);

    Visualizer.drawNetwork(networkCtx,bestCar.brain);
    
    requestAnimationFrame(animate);
}

function generateCars(N){
    const cars=[];
    for(let i=1;i<=N;i++){
        cars.push(new Car(100,100,30,50,"AI"));
    }
    return cars;
}

function save(){
    localStorage.setItem("bestBrain",
        JSON.stringify(bestCar.brain));
}

function discard(){
    localStorage.removeItem("bestBrain");
}