/*
  Generate a set of samples with different damage positions (random, normal around center positions)
  One transducer (top) and one sensor (bottom, x-centered, 30mm from bottom)
*/
var fs = require('fs'),
    cp = require('child_process')
    
var plate = [500,500],
    damx = [100,400],
    damy = [100,400],
    sampleN = 1000,
    simu = '../../bin/simndt2b',
    configFile = 'simndt_alu_plate_hole_20mm_sensorshape.json'
    
function gaussianRandom(mean, stdev) {
    const u = 1 - Math.random(); // Converting [0,1) to (0,1]
    const v = Math.random();
    const z = Math.sqrt( -2.0 * Math.log( u ) ) * Math.cos( 2.0 * Math.PI * v );
    // Transform to the desired mean and standard deviation:
    return z * stdev + mean;
}
function randomInt(range) {
  return gaussianRandom(250,50)|0
}
function readJSON(file) {
  return JSON.parse(fs.readFileSync(file,'utf8'))
}    
function writeJSON(file,config) {
  return fs.writeFileSync(file,JSON.stringify(config),'utf8')
}
for(var i=0;i<sampleN;i++) {
  var config = readJSON(configFile)
  config.GeometricObjects[0].x0=randomInt(damx);
  config.GeometricObjects[0].y0=randomInt(damy);
  config.Export.Save_filepath = './datan'
  config.Export.Filename = 'sample-x'+config.GeometricObjects[0].x0+'-y'+config.GeometricObjects[0].y0;
  writeJSON('config.json',config)
  console.log(config.Export.Filename)
  cp.spawnSync(simu,['config.json'])
}