Ejemplo n.º 1
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        public override Organism Clone(TrainingRoomSettings trainingRoomSettings)
        {
            // Prepares a new id for the organisms to clone with.
            Guid newGuid = Guid.NewGuid();

            // Create a new organism with the given node id and training room settings.
            return(new EvaluatableOrganism(newGuid, trainingRoomSettings, Generation, ConnectionGenes.Select(gene => gene.Clone(newGuid)).ToList()));
            //TODO: When inputs can mutate they should also be cloned
        }
Ejemplo n.º 2
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 public void Initialize()
 {
     _user = new User()
     {
         Id       = Guid.NewGuid(),
         Username = "******"
     };
     _trainingRoomSettings = new TrainingRoomSettings(0, 2, 1, 1, 1, 0.4, 3, 0.05, 0.03, 0.75, 0.001, 1, 0.8, 0.1, 0.5, 0.25, 0);
     _trainingRoom         = new TrainingRoom(_user, "CoolRoom", _trainingRoomSettings);
 }
Ejemplo n.º 3
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 public EvaluatableOrganism(Guid id, TrainingRoomSettings trainingRoomSettings, uint generation, List <ConnectionGene> connectionGenes)
 {
     Id              = id;
     Generation      = generation;
     ConnectionGenes = new List <ConnectionGene>(connectionGenes);
     if (connectionGenes.Any())
     {
         _maxInnovation = ConnectionGenes.Max(p => p.InnovationNumber);
     }
     GenerateInputAndOutputNodes(trainingRoomSettings);
     Name = GenerateName(trainingRoomSettings.Random.Next);
 }
Ejemplo n.º 4
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 protected override void GenerateInputAndOutputNodes(TrainingRoomSettings trainingRoomSettings)
 {
     Inputs = new List <OrganismInputNode>((int)trainingRoomSettings.InputCount);
     for (uint nodeIdentifier = 0; nodeIdentifier < trainingRoomSettings.InputCount; nodeIdentifier++)
     {
         Inputs.Add(new OrganismInputNode(this, new EvaluatableInputNode(nodeIdentifier)));
     }
     Outputs = new List <OrganismOutputNode>((int)trainingRoomSettings.OutputCount);
     for (uint nodeIdentifier = 0; nodeIdentifier < trainingRoomSettings.OutputCount; nodeIdentifier++)
     {
         Outputs.Add(new OrganismOutputNode(this, new EvaluatableOutputNode(nodeIdentifier + trainingRoomSettings.InputCount)));
     }
 }
Ejemplo n.º 5
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            public void Initialize()
            {
                _user = new User()
                {
                    Id       = Guid.NewGuid(),
                    Username = "******"
                };
                Guid trainingRoomId = Guid.NewGuid();

                _organismFactory      = new OrganismFactory();
                _trainingRoomSettings = new TrainingRoomSettings(trainingRoomId, 0, 2, 1, 1, 1, 0.4, 3, 0.05, 0.03, 0.75, 0.001, 1, 0.8, 0.1, 0.5, 0.25, 0, 15, 5);
                _trainingRoom         = new TrainingRoom(trainingRoomId, _user, "CoolRoom", _trainingRoomSettings, _organismFactory);
            }
Ejemplo n.º 6
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        public EvaluatableOrganism(uint generation, TrainingRoomSettings trainingRoomSettings)
        {
            Id = Guid.NewGuid();

            // Sets the current generation.
            Generation = generation;

            // Initializes the list of connection genes.
            ConnectionGenes = new List <ConnectionGene>();

            // Initializes the Input & Output lists for the many to many relations.
            GenerateInputAndOutputNodes(trainingRoomSettings);

            // Generates a random name for the organism.
            Name = GenerateName(trainingRoomSettings.Random.Next);
        }
Ejemplo n.º 7
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            public void Initialize()
            {
                _fakeUser = new User();
                Guid trainingRoomId = Guid.NewGuid();

                _roomName = "CoolRoom";

                //Create a training room with really high mutation settings
                TrainingRoomSettings trainingRoomSettings = new TrainingRoomSettings(trainingRoomId: trainingRoomId,
                                                                                     organismCount: 25,
                                                                                     inputCount: 3,
                                                                                     outputCount: 1,
                                                                                     c1: 1,
                                                                                     c2: 1,
                                                                                     c3: 0.4,
                                                                                     threshold: 3,
                                                                                     addConnectionChance: 1,
                                                                                     addNodeChance: 1,
                                                                                     crossOverChance: 0.75,
                                                                                     interSpeciesChance: 0.001,
                                                                                     mutationChance: 1,
                                                                                     mutateWeightChance: 0.8,
                                                                                     weightReassignChance: 0.1,
                                                                                     topAmountToSurvive: 0.5,
                                                                                     enableConnectionChance: 0.25,
                                                                                     seed: 1,
                                                                                     maxStagnantTime: 15,
                                                                                     championCloneMinSpeciesSize: 5);

                _organismFactory = new EvaluatableOrganismFactory();
                _trainingRoom    = new TrainingRoom(trainingRoomId, _fakeUser, _roomName, trainingRoomSettings, _organismFactory);

                for (int i = 0; i < trainingRoomSettings.OrganismCount; i++)
                {
                    EvaluatableOrganism organism = new EvaluatableOrganism(trainingRoomSettings, _trainingRoom.GetInnovationNumber)
                    {
                        IsLeased = true
                    };
                    _trainingRoom.AddOrganism(organism);
                }
                _trainingRoom.IncreaseNodeIdTo(trainingRoomSettings.InputCount + trainingRoomSettings.OutputCount);
            }
        /// <inheritdoc cref="ITrainingSessionService.GetOrganismsAsync(GetOrganismsRequest)"/>
        public async Task <GetOrganismsResponse> GetOrganismsAsync(GetOrganismsRequest getOrganismsRequest)
        {
            string          message = "Successfully fetched all requested organisms.";
            TrainingSession trainingSession;

            if (getOrganismsRequest.Amount < 1)
            {
                return(new GetOrganismsResponse(getOrganismsRequest.Id, new List <OrganismDto>(), "Amount cannot be smaller than 1."));
            }
            if ((trainingSession = await EntityRepository.FindSingleOrDefaultAsync(ts => ts.Id.Equals(getOrganismsRequest.TrainingSessionId))) == default)
            {
                return(new GetOrganismsResponse(getOrganismsRequest.Id, new List <OrganismDto>(), "Training session does not exist."));
            }
            if (!trainingSession.TrainingRoom.IsUserAuthorized(getOrganismsRequest.UserId) || trainingSession.UserId != getOrganismsRequest.UserId)
            {
                return(new GetOrganismsResponse(getOrganismsRequest.Id, new List <OrganismDto>(), "User is not authorized."));
            }
            if (trainingSession.EndedTimestamp != default)
            {
                return(new GetOrganismsResponse(getOrganismsRequest.Id, new List <OrganismDto>(), "Training session has ended and can not be used any more."));
            }
            TrainingRoomSettings trainingRoomSettings = trainingSession.TrainingRoom.TrainingRoomSettings;

            // if the list is empty then get new ones from the training room
            if (trainingSession.LeasedOrganisms.Count(o => !o.Organism.IsEvaluated) == 0)
            {
                if (trainingSession.TrainingRoom.Generation == 0)
                {
                    for (int i = 0; i < trainingRoomSettings.OrganismCount; i++)
                    {
                        Organism organism = new Organism(trainingRoomSettings, trainingSession.TrainingRoom.GetInnovationNumber)
                        {
                            IsLeased = true
                        };
                        trainingSession.TrainingRoom.AddOrganism(organism);
                        trainingSession.LeasedOrganisms.Add(new LeasedOrganism(organism, trainingSession.Id));
                    }
                    trainingSession.TrainingRoom.IncreaseNodeIdTo(trainingRoomSettings.InputCount + trainingRoomSettings.OutputCount);
                    message = $"First generation; generated {trainingSession.TrainingRoom.TrainingRoomSettings.OrganismCount} organisms.";
                    await _trainingSessionRepository.InsertFirstGenerationAsync(trainingSession);
                }
                else
                {
                    trainingSession.LeasedOrganisms.AddRange(GetNewLeasedOrganisms(getOrganismsRequest.Amount));
                    message = "Start of new generation.";
                    await _trainingSessionRepository.InsertLeasedOrganismsAsync(trainingSession);
                }
            }
            else if (trainingSession.LeasedOrganisms.Count(o => !o.Organism.IsEvaluated) < getOrganismsRequest.Amount)
            {
                int take = getOrganismsRequest.Amount - trainingSession.LeasedOrganisms.Count(o => !o.Organism.IsEvaluated);
                List <LeasedOrganism> newLeasedOrganisms = GetNewLeasedOrganisms(take);
                trainingSession.LeasedOrganisms.AddRange(newLeasedOrganisms);
                await _trainingSessionRepository.SaveChangesAsync();
            }

            if (trainingSession.LeasedOrganisms.Count(o => !o.Organism.IsEvaluated) < getOrganismsRequest.Amount && getOrganismsRequest.Amount < trainingRoomSettings.OrganismCount)
            {
                message = "The requested amount of organisms are not all available. The training room is close to a new generation.";
            }

            List <OrganismDto> organismDtos = trainingSession.LeasedOrganisms
                                              .Where(lo => !lo.Organism.IsEvaluated)
                                              .Take(getOrganismsRequest.Amount)
                                              .Select(lo =>
            {
                OrganismDto organismDto = Mapper.Map <OrganismDto>(lo.Organism);
                // Because the input and output nodes are set using a Many To Many relation the nodes are converted separately.
                organismDto.InputNodes  = lo.Organism.Inputs.Select(input => Mapper.Map <NodeDto>(input.InputNode)).ToList();
                organismDto.OutputNodes = lo.Organism.Outputs.Select(input => Mapper.Map <NodeDto>(input.OutputNode)).ToList();
                return(organismDto);
            }).ToList();

            return(new GetOrganismsResponse(getOrganismsRequest.Id, organismDtos, message, organismDtos.Any()));

            List <LeasedOrganism> GetNewLeasedOrganisms(int take)
            {
                return(trainingSession.TrainingRoom.Species
                       .SelectMany(sp => sp.Organisms)
                       .Where(lo => !lo.IsLeased)
                       .Take(take).Select(o =>
                {
                    o.IsLeased = true;
                    return new LeasedOrganism(o, trainingSession.Id);
                }).ToList());
            }
        }
Ejemplo n.º 9
0
        static async Task Main(string[] args)
        {
            Stopwatch stopwatch = new Stopwatch();

            stopwatch.Start();

            List <Task> tasks = new List <Task>();

            for (int j = 0; j < ClientCount; j++)
            {
                Task clientTask = Task.Run(async() =>
                {
                    IMessageProcessor messageProcessor      = new ClientMessageProcessor();
                    IMessageSerializer messageSerializer    = new JsonMessageSerializer();
                    SslTcpNetworkConnector networkConnector = new SslTcpNetworkConnector(messageSerializer, messageProcessor, Host, Port);
                    await networkConnector.ConnectAsync(CancellationToken.None);
                    await networkConnector.AuthenticateAsClient(CancellationToken.None);
                    networkConnector.Start();

                    MessageListener <AuthenticateResponse> loginResponseListener = new MessageListener <AuthenticateResponse>();
                    MessageListener <RegisterResponse> registerMessageListener   = new MessageListener <RegisterResponse>();
                    MessageListener <CreateTrainingRoomResponse> createTrainingRoomResponseListener           = new MessageListener <CreateTrainingRoomResponse>();
                    MessageListener <GetEnabledTrainingRoomsResponse> getEnabledTrainingRoomsResponseListener = new MessageListener <GetEnabledTrainingRoomsResponse>();
                    MessageListener <StartTrainingSessionResponse> startTrainingSessionResponseListener       = new MessageListener <StartTrainingSessionResponse>();
                    MessageListener <GetOrganismsResponse> getOrganismsResponseListener             = new MessageListener <GetOrganismsResponse>();
                    MessageListener <PostOrganismsScoreResponse> postOrganismsScoreResponseListener = new MessageListener <PostOrganismsScoreResponse>();
                    loginResponseListener.Subscribe(messageProcessor);
                    createTrainingRoomResponseListener.Subscribe(messageProcessor);
                    registerMessageListener.Subscribe(messageProcessor);
                    getEnabledTrainingRoomsResponseListener.Subscribe(messageProcessor);
                    startTrainingSessionResponseListener.Subscribe(messageProcessor);
                    getOrganismsResponseListener.Subscribe(messageProcessor);
                    postOrganismsScoreResponseListener.Subscribe(messageProcessor);
                    for (int i = 0; i < MessageCount; i++)
                    {
                        Guid name = Guid.NewGuid();
                        RegisterRequest registerRequest = new RegisterRequest(name.ToString(), "password2", "Name2");
                        await networkConnector.SendMessageAsync(registerRequest, CancellationToken.None);
                        RegisterResponse registerResponse = await registerMessageListener.ReceiveMessageAsync(CancellationToken.None);
                        Console.WriteLine($"RegisterResponse: \n\tSuccess: {registerResponse.Success}, \n\tRequestId: {registerResponse.RequestId}, \n\tResponseId: {registerResponse.Id}, \n\tMessage:{registerResponse.Message}");

                        AuthenticateRequest loginRequest = new AuthenticateRequest(name.ToString(), "password2", "Name2");
                        await networkConnector.SendMessageAsync(loginRequest, CancellationToken.None);
                        AuthenticateResponse loginResponse = await loginResponseListener.ReceiveMessageAsync(CancellationToken.None);
                        Console.WriteLine($"AuthenticateResponse: \n\tSuccess: {loginResponse.Success}, \n\tAccessToken: {loginResponse.AccessToken}, \n\tRequestId: {loginResponse.RequestId}, \n\tResponseId: {loginResponse.Id}, \n\tMessage:{loginResponse.Message}");

                        TrainingRoomSettings trainingRoomSettings           = new TrainingRoomSettings(50, 2, 1, 1, 1, 0.4, 3, 0.05, 0.03, 0.75, 0.001, 1, 0.8, 0.1, 0.5, 0.25, 0);
                        CreateTrainingRoomRequest createTrainingRoomRequest = new CreateTrainingRoomRequest(loginResponse.UserId, Guid.NewGuid().ToString(), trainingRoomSettings);
                        await networkConnector.SendMessageAsync(createTrainingRoomRequest, CancellationToken.None);
                        CreateTrainingRoomResponse createTrainingRoomResponse = await createTrainingRoomResponseListener.ReceiveMessageAsync(CancellationToken.None);
                        Console.WriteLine($"CreateTrainingRoomResponse: \n\tId: {createTrainingRoomResponse.Id}\n\tRequestId: {createTrainingRoomResponse.RequestId}\n\tDateTime: {createTrainingRoomResponse.DateTime}\n\tMessage: {createTrainingRoomResponse.Message}\n\tSuccess: {createTrainingRoomResponse.Success}\n\tTrainingRoomId: {createTrainingRoomResponse.TrainingRoomId}");

                        StartTrainingSessionRequest startTrainingSessionRequest = new StartTrainingSessionRequest(loginResponse.UserId, createTrainingRoomResponse.TrainingRoomId);
                        await networkConnector.SendMessageAsync(startTrainingSessionRequest, CancellationToken.None);
                        StartTrainingSessionResponse startTrainingSessionResponse = await startTrainingSessionResponseListener.ReceiveMessageAsync(CancellationToken.None);
                        Console.WriteLine($"StartTrainingSessionResponse: \n\tId: {startTrainingSessionResponse.Id}\n\tRequestId: {startTrainingSessionResponse.RequestId}\n\tDateTime: {startTrainingSessionResponse.DateTime}\n\tMessage: {startTrainingSessionResponse.Message}\n\tSuccess: {startTrainingSessionResponse.Success}\n\tTrainingSessionId: {startTrainingSessionResponse.TrainingSession.Id}");

                        await GetAndPostOrganismsAsync(startTrainingSessionResponse, networkConnector, getOrganismsResponseListener, postOrganismsScoreResponseListener);
                        await GetAndPostOrganismsAsync(startTrainingSessionResponse, networkConnector, getOrganismsResponseListener, postOrganismsScoreResponseListener);
                        await GetAndPostOrganismsAsync(startTrainingSessionResponse, networkConnector, getOrganismsResponseListener, postOrganismsScoreResponseListener);
                        await GetAndPostOrganismsAsync(startTrainingSessionResponse, networkConnector, getOrganismsResponseListener, postOrganismsScoreResponseListener);
                        await GetAndPostOrganismsAsync(startTrainingSessionResponse, networkConnector, getOrganismsResponseListener, postOrganismsScoreResponseListener);

                        //
                        await GetAndPostOrganismsAsync(startTrainingSessionResponse, networkConnector, getOrganismsResponseListener, postOrganismsScoreResponseListener);

                        //GetEnabledTrainingRoomsRequest getEnabledTrainingRoomsRequest = new GetEnabledTrainingRoomsRequest();
                        //await networkConnector.SendMessageAsync(getEnabledTrainingRoomsRequest, CancellationToken.None);
                        //GetEnabledTrainingRoomsResponse getEnabledTrainingRoomsResponse = await getEnabledTrainingRoomsResponseListener.ReceiveMessageAsync(CancellationToken.None);
                        //Console.WriteLine($"GetEnabledTrainingRoomsResponse: \n\tId: {getEnabledTrainingRoomsResponse.Id}\n\tRequestId: {getEnabledTrainingRoomsResponse.RequestId}\n\tDateTime: {getEnabledTrainingRoomsResponse.DateTime}\n\tMessage: {getEnabledTrainingRoomsResponse.Message}\n\tSuccess: {getEnabledTrainingRoomsResponse.Success}");


                        //foreach (TrainingRoomDto trainingRoomDto in getEnabledTrainingRoomsResponse.TrainingRooms)
                        //    Console.WriteLine($"TrainingRoom:\n\tId: {trainingRoomDto.Id}\n\tName: {trainingRoomDto.Name}\n\tOwner: {trainingRoomDto.Owner.Username}");
                    }
                    loginResponseListener.Unsubscribe();
                });
                tasks.Add(clientTask);
            }

            await Task.WhenAll(tasks).ContinueWith(action =>
            {
                stopwatch.Stop();
                Console.WriteLine($"Messages per second: {TotalMessages / stopwatch.Elapsed.TotalSeconds:N0}");
                Console.ReadKey();
            });
        }
        /// <inheritdoc cref="ITrainingRoomService.GetOrganismsAsync(GetOrganismsRequest)"/>
        public async Task <GetOrganismsResponse> GetOrganismsAsync(GetOrganismsRequest getOrganismsRequest)
        {
            string          message = "Successfully fetched all requested organisms.";
            TrainingSession trainingSession;

            if (getOrganismsRequest.TrainingSessionId.Equals(Guid.Empty))
            {
                return(new GetOrganismsResponse(getOrganismsRequest.Id, new List <OrganismDto>(), "Training room id cannot be an empty guid."));
            }
            if (getOrganismsRequest.Amount < 1)
            {
                return(new GetOrganismsResponse(getOrganismsRequest.Id, new List <OrganismDto>(), "Amount cannot be smaller than 1."));
            }
            if ((trainingSession = await _trainingSessionRepository.FindSingleOrDefaultAsync(ts => ts.Id.Equals(getOrganismsRequest.TrainingSessionId))) == default)
            {
                return(new GetOrganismsResponse(getOrganismsRequest.Id, new List <OrganismDto>(), "Training session does not exist."));
            }

            // if the list is empty then get new ones from the training room
            if (trainingSession.LeasedOrganisms.Count(o => !o.Organism.Evaluated) == 0)
            {
                if (trainingSession.TrainingRoom.Generation == 0)
                {
                    TrainingRoomSettings trainingRoomSettings = trainingSession.TrainingRoom.TrainingRoomSettings;
                    for (int i = 0; i < trainingRoomSettings.OrganismCount; i++)
                    {
                        Organism organism = new Organism(trainingSession.TrainingRoom.Generation, trainingRoomSettings)
                        {
                            Leased = true
                        };
                        trainingSession.TrainingRoom.AddOrganism(organism);
                        trainingSession.LeasedOrganisms.Add(new LeasedOrganism(organism));
                    }
                    trainingSession.TrainingRoom.IncreaseNodeIdTo(trainingRoomSettings.InputCount + trainingRoomSettings.OutputCount);
                    message = $"First generation; generated {trainingSession.TrainingRoom.TrainingRoomSettings.OrganismCount} organisms.";
                }
                else
                {
                    trainingSession.LeasedOrganisms.AddRange(GetNewLeasedOrganisms(getOrganismsRequest.Amount));
                    message = "Start of new generation.";
                }
            }
            else if (trainingSession.LeasedOrganisms.Count(o => !o.Organism.Evaluated) < getOrganismsRequest.Amount)
            {
                int take = getOrganismsRequest.Amount - trainingSession.LeasedOrganisms.Count(o => !o.Organism.Evaluated);
                List <LeasedOrganism> newLeasedOrganisms = GetNewLeasedOrganisms(take);
                trainingSession.LeasedOrganisms.AddRange(newLeasedOrganisms);
            }

            if (trainingSession.LeasedOrganisms.Count(o => !o.Organism.Evaluated) < getOrganismsRequest.Amount)
            {
                message = "The requested amount of organisms are not all available. The training room is probably close to a new generation or is waiting on other training sessions to complete.";
            }

            await _trainingSessionRepository.UpdateAsync(trainingSession);

            List <OrganismDto> organismDtos = trainingSession.LeasedOrganisms
                                              .Where(lo => !lo.Organism.Evaluated)
                                              .Take(getOrganismsRequest.Amount)
                                              .Select(lo =>
            {
                OrganismDto organismDto = EntityToDtoConverter.Convert <OrganismDto, Organism>(lo.Organism);
                // Because the input and output nodes are set using a Many To Many relation the nodes are converted separately.
                organismDto.InputNodes  = lo.Organism.Inputs.Select(input => EntityToDtoConverter.Convert <NodeDto, InputNode>(input.InputNode)).ToList();
                organismDto.OutputNodes = lo.Organism.Outputs.Select(input => EntityToDtoConverter.Convert <NodeDto, OutputNode>(input.OutputNode)).ToList();
                return(organismDto);
            }).ToList();

            return(new GetOrganismsResponse(getOrganismsRequest.Id, organismDtos, message, organismDtos.Any()));

            List <LeasedOrganism> GetNewLeasedOrganisms(int take)
            {
                return(trainingSession.TrainingRoom.Species.SelectMany(sp => sp.Organisms).Where(lo => !lo.Leased)
                       .Take(take).Select(o =>
                {
                    o.Leased = true;
                    return new LeasedOrganism(o);
                }).ToList());
            }
        }
Ejemplo n.º 11
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 public EvaluatableOrganism(TrainingRoomSettings trainingRoomSettings, Func <uint, uint, uint> innovationFunction) :
     this(0, trainingRoomSettings)
 {
     AddConnectionMutation(trainingRoomSettings, innovationFunction);
 }
Ejemplo n.º 12
0
 /// <summary>
 /// Initializes an instance of the <see cref="CreateTrainingRoomRequest"/> class.
 /// </summary>
 /// <param name="ownerId">The owner id.</param>
 /// <param name="trainingRoomName">The training room name.</param>
 /// <param name="trainingRoomSettings">The training room settings.</param>
 public CreateTrainingRoomRequest(Guid ownerId, string trainingRoomName, TrainingRoomSettings trainingRoomSettings)
 {
     OwnerId              = ownerId;
     TrainingRoomName     = trainingRoomName;
     TrainingRoomSettings = trainingRoomSettings;
 }