import processing.net.*;

/*

 ˆ© Copyright 2008, Pall Thayer

 This file is part of "Nude Studies in Aleatoric Environments".

    'Nude Studies in Aleatoric Environments' is art: you can redistribute

    it and/or modify it under the terms of the GNU General Public License

    as published by the Free Software Foundation, either version 3 of the

    License, or (at your option) any later version.

    'Nude Studies in Aleatoric Environments' is distributed in the

    hope that it will be useful, but WITHOUT ANY WARRANTY; without

    even the implied warranty of MERCHANTABILITY or FITNESS FOR A

    PARTICULAR PURPOSE.  See the GNU General Public License for more details.

    You should have received a copy of the GNU General Public License

    along with "Nude Studies in Aleatoric Environments".  If not,

    see <http://www.gnu.org/licenses/>.

*/

Client myClient;

String dataIn;

int[] line_weight = {1, 1, 1, 1};

int img_count = 0;

  background(255);

  myClient = new Client(this, "host.machine", 6789);

  smooth();

  noFill();

  frameRate(25);

  stroke(0, 0, 0);

  try{

    if (myClient.available() > 0) {

      dataIn = myClient.readString();

      String items[] = split(dataIn, ' ');

      for(int i = 1;i <= 4;i++){

        draw_lines(items, i);

      }

      if(items[0].matches("newimage")){

        img_count++;

        if(img_count == 5){

          noStroke();

          fill(#FFFFFF);

          rect(0, 0, 800, 600);

          img_count = 0;

          noFill();

        }

      }

    }

  }

  catch(Exception e){

  }

}

void draw_lines(String[] line_data, int img_num){

  int[] x_offset = {

    0, 400, 0, 400      };

  int[] y_offset = {

    0, 0, 300, 300      };

  try{

    if(line_data.length > 5){

      int thisCol = unhex(line_data[1]);

      stroke(thisCol);

    }

    if(line_data[0].matches("seisdat")){

      String seis_data[] = split(line_data[1], ':');

      line_weight[int(seis_data[0])-1] = int(seis_data[1]);

    }

    strokeWeight(line_weight[img_num-1]);

    if(line_data[0].matches("line")){

      line(int(line_data[2])+x_offset[img_num-1], int(line_data[3])+y_offset[img_num-1], int(line_data[4])+x_offset[img_num-1], int(line_data[5])+y_offset[img_num-1]);

    }

    if(line_data[0].matches("curve")){

      bezier(int(line_data[2])+x_offset[img_num-1], int(line_data[3])+y_offset[img_num-1], int(line_data[4])+x_offset[img_num-1], int(line_data[5])+y_offset[img_num-1], int(line_data[6])+x_offset[img_num-1], int(line_data[7])+y_offset[img_num-1], int(line_data[8])+x_offset[img_num-1], int(line_data[9])+y_offset[img_num-1]);

    }

  }

  catch(Exception e){

  }

}