import krister.Ess.*;

PFont tinyfont;
int buffer = 1024;
int numaverages = 128;
int steps;
float minlimit = 0.005;
float maxlimit = 0.05;
float damp = 0.05;
float limitdiff = maxlimit - minlimit;
float[] maxlist;
FFT myFFT;
AudioInput input;

void setup(){
  size(buffer,100);
  tinyfont = loadFont("tinyfont.vlw");
  textFont(tinyfont, 8);
  Ess.start(this);
  input = new AudioInput(buffer);
  myFFT = new FFT(buffer*2);
  myFFT.equalizer(true);
  myFFT.limits(minlimit, maxlimit);
  myFFT.damp(damp);
  myFFT.averages(numaverages);
  steps = buffer/numaverages;
  input.start();  
}

void draw(){
  background(255);
  
  maxlist = maxPerSegment(myFFT);
  for(int i=0; i<numaverages; i++){  // draw the averages
    noStroke();
    fill(200);
    rect(i*steps, height, steps-1, 0-myFFT.averages[i]*height);
    fill(230);
    rect(i*steps, height-maxlist[i]*height, steps-1, (0-myFFT.averages[i]*height)-(height-maxlist[i]*height));
    //rect(i*steps, height-maxlist[i]*height, steps-1, maxlist[i]*height - myFFT.averages[i]*height);
    //stroke(0);
    //line(i*steps, height-maxlist[i]*height, ((i+1)*steps)-1, height-maxlist[i]*height);    
    fill(0);
    if(i%10 == 0){
      text(i/10, i*steps, height);
    }
  }
  /*
  stroke(0,100,255);
  for(int i=0; i<buffer; i++){       // draw the spectrum
    line(i,height,i,height-myFFT.spectrum[i]*height);
  }
  */
}

void audioInputData(AudioInput theInput) {
  myFFT.getSpectrum(input);
}

float[] maxPerSegment(FFT fft){
  int start;
  float val;
  float highest;
  float[] maxvals = new float[0];
  for(int i=0; i<numaverages; i++){
    start = i*steps;
    highest = 0;
    for(int n=0; n<steps; n++){
      val = myFFT.spectrum[start+n];
      if(val > highest){
        highest = val;
      }
    }
    maxvals = append(maxvals, highest);
  }
  return maxvals;
}