/// <summary>
/// Method to continue on another users saved progress of their evolution
/// </summary>
/// <param name="filesLocation">Path to the files of the evolution a user wants to branch from</param>
public ActionResult Continue(string filesLocation, string oldUsername, string sequence)
{
// get username
string username = HttpContext.Session["userId"].ToString();
// set sequence if it existed
if (sequence == null)
{
HttpContext.Session.Add("sequence", "");
}
// set previous username for branching
HttpContext.Session.Add("branchId", oldUsername);
// create clean user folder in Results
FileUtility.CreateUserFolder(username);
// move files to username folder in Results
FileUtility.CopyFilesToUserFolder(filesLocation, username, oldUsername);
// Get client pool used for running the evaluations
MalmoClientPool clientPool = Global.GloabalVariables.MalmoClientPool;
//recreate experiment and load poppulation
MinecraftBuilderExperiment experiment = new MinecraftBuilderExperiment(clientPool, "Simple", username);
XmlDocument xmlConfig = new XmlDocument();
xmlConfig.Load(System.AppDomain.CurrentDomain.BaseDirectory + "minecraft.config.xml");
experiment.Initialize("Minecraft", xmlConfig.DocumentElement);
// read current population
var reader = XmlReader.Create(FileUtility.GetUserResultPath(username) + "Population.xml");
var list = experiment.LoadPopulation(reader);
reader.Close();
//load video files
List <Evolution> evolutions = new List <Evolution>();
for (int i = 0; i < list.Count; i++)
{
string folderName = i.ToString();
string videoPath = "";
videoPath = FileUtility.GetVideoPathWithoutDecoding(username, i.ToString());
//TODO: Change branch ID to 0
Evolution evolution = new Evolution()
{
ID = i, DirectoryPath = FileUtility.GetUserResultVideoPath(username, folderName), BranchID = i, Username = HttpContext.Session["userId"].ToString(), Sequence = sequence
};
evolutions.Add(evolution);
}
if (sequence == null)
{
return(View("FirstEvolution", evolutions));
}
return(View("Evolve", evolutions));
}
/// <summary>
/// Method for performing evolutions
/// </summary>
/// <param name="id">Indicates if its a new evolution or not. Id of chosen individual by CIEC</param>
/// <param name="fitness">Fitness given by user input for the chosen individual</param>
/// <param name="novelty">Indicates whether or not to perform novelty search</param>
public ActionResult Evolve(int id = -1, int fitness = 0)
{
// Get username for this evolution
string username = HttpContext.Session["userId"].ToString().ToString();//Request.UserHostAddress;
// Prepares next evolution view
List <Evolution> evolutions = new List <Evolution>();
// Get client pool used for running the evaluations
MalmoClientPool clientPool = Global.GloabalVariables.MalmoClientPool;
// Initialize the experiment and the evaluator object (MinecraftSimpleEvaluator)
MinecraftBuilderExperiment experiment;
if (fitness < 0)
{
experiment = new MinecraftBuilderExperiment(clientPool, "Novelty", username);
}
else
{
experiment = new MinecraftBuilderExperiment(clientPool, "Simple", username);
}
XmlDocument xmlConfig = new XmlDocument();
xmlConfig.Load(System.AppDomain.CurrentDomain.BaseDirectory + "minecraft.config.xml");
experiment.Initialize("Minecraft", xmlConfig.DocumentElement);
// The evolutionary algorithm object
NeatEvolutionAlgorithm <NeatGenome> algorithm;
if (id != -1)
{
if (fitness < 0)
{
//Novelty
//Initialize experiment
experiment.Initialize("Novelty", xmlConfig.DocumentElement);
//load population, choose selected as parent and create offsprings
var reader = XmlReader.Create(FileUtility.GetUserResultPath(username) + "Population.xml");
var list = experiment.LoadPopulation(reader);
var parent = list[id];
List <NeatGenome> offSprings = new List <NeatGenome>();
offSprings.Add(parent);
while (offSprings.Count != GloabalVariables.POPULATION_SIZE)
{
offSprings.Add(parent.CreateOffspring(parent.BirthGeneration));
}
//save fitness of current generation
double maxFitness = -1;
for (int i = 0; i < GloabalVariables.POPULATION_SIZE; i++)
{
string folderName = i.ToString();
double currentStructureFitness = FileUtility.GetStructureFitness(username, folderName);
if (currentStructureFitness > maxFitness)
{
maxFitness = currentStructureFitness;
}
}
FileUtility.SaveMaxFitness(username, maxFitness);
reader.Close();
// add novel structure to archive
FileUtility.SaveNovelStructure(username, id.ToString());
//save chosen to parent
FileUtility.CopyCanditateToParentFolder(username, id.ToString());
// Initialize algorithm object using the current generation
algorithm = experiment.CreateEvolutionAlgorithm(offSprings[0].GenomeFactory, offSprings);
// Continue evolution after first generation if stop condition hasnt been met
if (!algorithm.StopConditionSatisfied)
{
algorithm.StartContinue();
}
while (algorithm.RunState != RunState.Paused && algorithm.RunState != RunState.Ready)
{
Thread.Sleep(100);
}
// save separate genomes to population.xml
var tempList = new List <NeatGenome>();
for (int i = 0; i < algorithm.GenomeList.Count; i++)
{
reader = XmlReader.Create(FileUtility.GetUserResultPath(username) + i.ToString() + "/" + "genome.xml");
list = experiment.LoadPopulation(reader);
tempList.Add(list[0]);
reader.Close();
}
var doc = NeatGenomeXmlIO.SaveComplete(tempList, false);
doc.Save(FileUtility.GetUserResultPath(username) + "Population.xml");
// Save population after evaluating the generation
string action = "2";
string sequence = HttpContext.Session["sequence"].ToString();
HttpContext.Session.Add("sequence", sequence + action);
for (int i = 0; i < algorithm.GenomeList.Count; i++)
{
string folderName = i.ToString();
string videoPath = "";
if (i == 0)
{
videoPath = FileUtility.GetVideoPathWithoutDecoding(username, folderName);
}
else
{
videoPath = FileUtility.DecodeArchiveAndGetVideoPath(username, folderName);
}
Evolution evolution = new Evolution()
{
ID = i, DirectoryPath = FileUtility.GetUserResultVideoPath(username, folderName), BranchID = i, Username = HttpContext.Session["userId"].ToString()
};
evolutions.Add(evolution);
}
}
else
{
//IEC
if (fitness == 1)
{
experiment.Initialize("Small mutation", xmlConfig.DocumentElement);
}
else if (fitness == 2)
{
experiment.Initialize("Big mutation", xmlConfig.DocumentElement);
}
// read current population and set fitness of the chosen genome
var reader = XmlReader.Create(FileUtility.GetUserResultPath(username) + "Population.xml");
var list = experiment.LoadPopulation(reader);
foreach (var genome in list)
{
genome.EvaluationInfo.SetFitness(0);
}
list[id].EvaluationInfo.SetFitness(fitness);
reader.Close();
// add novel structure to archive
FileUtility.SaveNovelStructure(username, id.ToString());
// Initialize algorithm object using the current generation
algorithm = experiment.CreateEvolutionAlgorithm(list[0].GenomeFactory, list);
//save fitness of current generation
double maxFitness = -1;
for (int i = 0; i < algorithm.GenomeList.Count; i++)
{
string folderName = i.ToString();
double currentStructureFitness = FileUtility.GetStructureFitness(username, folderName);
if (currentStructureFitness > maxFitness)
{
maxFitness = currentStructureFitness;
}
}
FileUtility.SaveMaxFitness(username, maxFitness);
// Copy video files of the generation champion into the parent folder and delete the other
// folders to allow for new candidate videos
int indexOfChamp = 0;
foreach (var genome in list)
{
if (genome.Id == algorithm.CurrentChampGenome.Id && algorithm.CurrentChampGenome.Id != 0)
{
FileUtility.CopyCanditateToParentFolder(username, indexOfChamp.ToString());
}
indexOfChamp++;
}
// Perform evaluation of a generation. Pause shortly after to ensure that the algorithm only
// evaluates one generation
algorithm.StartContinue();
Thread.Sleep(5000);
algorithm.RequestPause();
// Wait for the evaluation of the generation to be done
while (algorithm.RunState != RunState.Paused)
{
Thread.Sleep(100);
}
// Save population after evaluating the generation
var doc = NeatGenomeXmlIO.SaveComplete(algorithm.GenomeList, false);
doc.Save(FileUtility.GetUserResultPath(username) + "Population.xml");
string action = "";
if (fitness == 1)
{
action = "0";
}
else
{
action = "1";
}
string sequence = HttpContext.Session["sequence"].ToString();
HttpContext.Session.Add("sequence", sequence + action);
for (int i = 0; i < algorithm.GenomeList.Count; i++)
{
string folderName = i.ToString();
string videoPath = "";
if (i == 0)
{
videoPath = FileUtility.GetVideoPathWithoutDecoding(username, folderName);
}
else
{
videoPath = FileUtility.DecodeArchiveAndGetVideoPath(username, folderName);
}
Evolution evolution = new Evolution()
{
ID = i, DirectoryPath = FileUtility.GetUserResultVideoPath(username, folderName), BranchID = i, Username = HttpContext.Session["userId"].ToString()
};
evolutions.Add(evolution);
FileUtility.SaveCurrentGenome(username, i.ToString(), algorithm.GenomeList[i]);
}
}
}
else
{
// Perform new evolution
experiment.Initialize("Minecraft", xmlConfig.DocumentElement);
// Create folders for the user
FileUtility.CreateUserFolder(username);
// Create a new evolution algorithm object with an initial generation
algorithm = experiment.CreateEvolutionAlgorithm();
// Save population after evaluating the generation
var doc = NeatGenomeXmlIO.SaveComplete(algorithm.GenomeList, false);
doc.Save(FileUtility.GetUserResultPath(username) + "Population.xml");
for (int i = 0; i < algorithm.GenomeList.Count; i++)
{
string folderName = i.ToString();
string videoPath = FileUtility.DecodeArchiveAndGetVideoPath(username, folderName);
Evolution evolution = new Evolution()
{
ID = i, DirectoryPath = FileUtility.GetUserResultVideoPath(username, folderName), BranchID = -1, Sequence = ""
};
evolutions.Add(evolution);
FileUtility.SaveCurrentGenome(username, i.ToString(), algorithm.GenomeList[i]);
}
HttpContext.Session.Add("branchId", "-1");
return(View("FirstEvolution", evolutions));
}
return(View(evolutions));
}
