static void Main(string[] args)
{
bool DoRun = true;
do
{
try
{
GPRunManager <BalanceGA> RunManager = null;
string BatchRun = "../RunParams/BatchRun.xml";
if (args.Count() > 0)
{
BatchRun = args[0];
}
else
{
//List all batch files in RunParams
var ListOfBatch = Directory.EnumerateFiles("../RunParams/", "Batch*.xml").ToList();
for (int i = 0; i < ListOfBatch.Count(); i++)
{
Console.WriteLine(i + ": " + ListOfBatch[i]);
}
//Select one
int Selection = int.Parse(Console.ReadLine());
if (Selection < ListOfBatch.Count)
{
BatchRun = ListOfBatch[Selection];
}
}
XmlDocument doc1 = new XmlDocument();
doc1.Load(BatchRun);
var classNodes = doc1.SelectNodes("/batch/run");
Console.WriteLine("Successfully loaded batch file");
for (int i = 0; i < classNodes.Count; i++)
{
var ParamFile = classNodes[i].Attributes["paramfile"].Value;
var OutputFolder = classNodes[i].Attributes["outputfolder"].Value;
var RunCount = int.Parse(classNodes[i].Attributes["runs"].Value);
var GenToRun = int.Parse(classNodes[i].Attributes["generations"].Value);
var RandomSeed = int.Parse(classNodes[i].Attributes["randomseed"].Value);
var EvaluationsMax = int.Parse(classNodes[i].Attributes["evaluations"].Value);
var ExperimentName = Path.GetFileName(OutputFolder);
for (int Run = 1; Run <= RunCount; Run++)
{
DoRun = true;
var Folder = Path.Combine(OutputFolder, "Run" + Run);
var GensToRun = GenToRun;
if (Directory.Exists(Folder) && Directory.EnumerateFiles(Folder).Count() > 0)
{
var rawentries = Directory.GetFiles(Folder, "*.xml");
if (rawentries.Count() < GenToRun)
{
var entries = rawentries.OrderBy(t => t);
var BackupFilename = entries.Last();
RunManager = GAController.GAController.LoadRunFromFile(BackupFilename);
//string Json = File.ReadAllText(BackupFilename + ".json");
//RunManager = JsonConvert.DeserializeObject<GPRunManager<BalanceGA, int, double>>(Json);
//RunManager = new GPRunManager<BalanceGA, int, double>(ParamFile, tests, RandomSeed * Run);
//JsonConvert.PopulateObject(Json, RunManager);
//RunManager.ReloadParameters();
GensToRun = GenToRun - RunManager.CurrentGen; //entries.Count();
if (RunManager.Populations[0].RunMetrics.TotalFitnessCalculations.Last().Value > EvaluationsMax)
{
DoRun = false;
}
}
else
{
DoRun = false;
}
}
else
{
var Params = GPRunManager <BalanceGA> .LoadParamsFromFile(ParamFile);
//Change params as needed
for (int y = 0; y < classNodes[i].Attributes.Count; y++)
{
var Attr = classNodes[i].Attributes[y];
if (Attr.Name.Contains("prop."))
{
var JsonPropName = Attr.Name.Split('.')[1];
Params.JsonParams.gaparams[JsonPropName] = double.Parse(Attr.Value);
}
}
Params.JsonParameters = JsonConvert.SerializeObject(Params.JsonParams, Newtonsoft.Json.Formatting.Indented);
RunManager = new GPRunManager <BalanceGA>(Params, RandomSeed + Run);
RunManager.InitRun();
}
if (DoRun)
{
int res = 0;
for (int Gener = 0; Gener < GensToRun; Gener++)
{
res = RunManager.StartRun(1);
foreach (BalanceGA FN in RunManager.GetBestMembers())
{
Console.WriteLine(ExperimentName +
" (" + Run + "." + RunManager.CurrentGen +
") - (Fit: " + FN.Fitness +
") (Evals: " + RunManager.Populations[0].RunMetrics.TotalFitnessCalculations.Last().Value +
((RunManager.Populations[0].Predictor != null) ? (
") (Pred: " + RunManager.Populations[0].Predictor.AcceptedPredictions +
") (False: " + RunManager.Populations[0].Predictor.FalseNegativesByGeneration.Sum() +
") (PredAcc: " + RunManager.Populations[0].Predictor.NetworkAccuracy
) : "") +
")"
);
}
Directory.CreateDirectory(Folder);
string filename = Path.Combine(Folder, "Backup_" + DateTime.Now.ToString("yyyy-MM-dd-HH-mm-ss-ffffff") + "_" + RunManager.CurrentGen + ".xml");
GAController.GAController.SaveRunGAToFile(RunManager, filename);
//JSON
/*JsonSerializer jserializer = new JsonSerializer();
* jserializer.NullValueHandling = NullValueHandling.Ignore;
*
* using(StreamWriter sw = new StreamWriter(filename + ".json"))
* using(JsonWriter writer = new JsonTextWriter(sw))
* {
* jserializer.Serialize(writer, RunManager);
* }*/
//Console.WriteLine("Saving to file done");
//Remove other files
if (true)
{
var Files = Directory.GetFiles(Folder);
var OrderedFiles = Files.OrderBy(t => t).ToList();
for (int f = 0; f < OrderedFiles.Count() - 1; f++)
{
File.Delete(OrderedFiles[f]);
}
}
if (RunManager.Populations[0].RunMetrics.TotalFitnessCalculations.Last().Value > EvaluationsMax)
{
break;
}
}
}
}
}
}
catch (Exception e)
{
Console.WriteLine("Error happened: " + e.Message);
}
} while (DoRun);
}
