using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.ServiceModel;
using HeuristicLab.Services.Optimization.ControllerService.Interfaces;
using HeuristicLab.Services.Optimization.ControllerService.Model;
using HeuristicLab.Services.Optimization.ControllerService.General;

namespace HeuristicLab.Services.Optimization.ControllerService {
  [ServiceBehavior(InstanceContextMode = InstanceContextMode.PerCall, IgnoreExtensionDataObject = true)]
  public class PlaceholderControllerService : IControllerService {
    
    private IList<Model.OptimizationScenario> scenarios;

    private ScenarioParser parser = new ScenarioParser();

    private IScenarioManager hiveManager;

    public PlaceholderControllerService() {
      /*var tsp = new Model.OptimizationScenario() { Name = "Traveling Salesman Problem" };
      hiveManager = new HiveScenarioManager();
      tsp.InputParameters.Items.Add(new Model.Parameter() { Type = Model.ParameterType.Decimal, Value = new Model.DecimalValue() { Name = "BestKnownQuality", Value = 6110.0d } });
      tsp.InputParameters.Items.Add(new Model.Parameter() { Type = Model.ParameterType.DecimalVector
      ,Value = 
        new Model.DecimalVector() {
          Name = "BestKnownSolution",
          Value = new double[]{
            0,40,38//,116,111,114,27,61,104,127,15,44,4,10,75,108,60,128,123,63,68,85,87,25,6,96,69,106,126,103,42,33,16,30,26,18,99,14,28,23,115,94,78,86,11,80,102,76,93,88,109,97,67,62,47,24,112,31,35,83,118,110,122,100,81,56,8,55,64,51,74,73,98,72,91,37,105,52,119,57,48,71,90,5,101,9,13,66,12,95,121,54,59,50,41,43,92,36,21,46,39,22,32,20,125,120,77,65,84,124,89,58,29,82,2,113,107,7,17,45,79,117,19,3,34,53,1,49,129,70
      }}});
      tsp.InputParameters.Items.Add(new Model.Parameter() {        
        Type = Model.ParameterType.DecimalMatrix,
        Value =
          new Model.DecimalMatrix() {
            Name = "Coordinates",
            Value = Utility.ToJagged(new double[,] { { 334.5909245845, 161.7809319139 }, { 334.5909245845, 161.7809319139 }, { 503.8741827107, 172.8741151168 } })
          }
      });
      tsp.InputParameters.Items.Add(new Model.Parameter() { Type = Model.ParameterType.Type, Value = new Model.TypeValue() { Name = "EvaluatorParameter", Value = "HeuristicLab.Problems.TravelingSalesman.TSPRoundedEuclideanPathEvaluator", Options = new string[] { "HeuristicLab.Problems.TravelingSalesman.TSPRoundedEuclideanPathEvaluator", "HeuristicLab.Problems.TravelingSalesman.TSPGeoPathEvaluator", "HeuristicLab.Problems.TravelingSalesman.TSPEuclideanPathEvaluator" } } });
      //tsp.InputParameters.Add(new Model.Parameter() { Name = "SolutionCreator" });
      tsp.InputParameters.Items.Add(new Model.Parameter() { Type = Model.ParameterType.Boolean, Value = new Model.BoolValue() { Name = "UseDistanceMatrix", Value = true } });

      tsp.AlgorithmParameters.Items.Add(new Model.Parameter() { Type = Model.ParameterType.Type, Value = new Model.TypeValue() { Name = "CrossoverParameter", Value = "OrderCrossover2", Options = new string[] { "OrderCrossover2", "CosaCrossover" } } });
      tsp.AlgorithmParameters.Items.Add(new Model.Parameter() { Type = Model.ParameterType.Integer, Value = new Model.DecimalValue() { Name = "Elites", Value = 1 } });
      tsp.AlgorithmParameters.Items.Add(new Model.Parameter() { Type = Model.ParameterType.Integer, Value = new Model.DecimalValue() { Name = "MaximumGenerations", Value = 1000 } });//, Value = 1000});
      tsp.AlgorithmParameters.Items.Add(new Model.Parameter() { Type = Model.ParameterType.Percent, Value = new Model.DecimalValue() { Name = "MutationProbability", Value = 5 } });//, Value = 5});
      tsp.AlgorithmParameters.Items.Add(new Model.Parameter() { Type = Model.ParameterType.Type, Value = new Model.TypeValue() { Name = "Mutator", Value = "InversionManipulator", Options = new string[] { "InversionManipulator", "ScrambleManipulator" } } });
      tsp.AlgorithmParameters.Items.Add(new Model.Parameter() { Type = Model.ParameterType.Integer, Value = new Model.DecimalValue() { Name = "PopulationSize", Value = 100 } });//, Value = 100 });
      tsp.AlgorithmParameters.Items.Add(new Model.Parameter() { Type = Model.ParameterType.Integer, Value = new Model.DecimalValue() { Name = "Seed", Value = 100 } });//, Value = 100 });
      tsp.AlgorithmParameters.Items.Add(new Model.Parameter() { Type = Model.ParameterType.Type, Value = new Model.TypeValue() { Name = "Selector", Value = "ProportionalSelector", Options = new string[] { "ProportionalSelector", "BestSelector" } } });
      tsp.AlgorithmParameters.Items.Add(new Model.Parameter() { Type = Model.ParameterType.Boolean, Value = new Model.BoolValue() { Name = "SetSeedRandomly", Value = true } });//, Value = true });
      this.scenarios = new List<Model.OptimizationScenario>() { tsp };*/      
      //hiveManager.DispatchScenario(tsp);
      //hiveManager = new MockupScenarioManager();
      hiveManager = new HiveScenarioManager();
      scenarios = parser.Scenarios;
      //hiveManager.DispatchScenario(new User() { Username = "fschoeppl", Password = "fschoeppl" }, scenarios[0]);
    }

    public IEnumerable<Model.OptimizationScenario> GetOptimizationScenarios() {
      return scenarios;  
    }


    public Model.OptimizationScenario GetOptimizationScenarioByName(string name) {
      var scen = (from e in scenarios
                  where e.Id == name
                  select e).FirstOrDefault();      
      return scen;
    }

    public bool ScheduleOptimizationScenario(Model.User user, Model.OptimizationScenario scenario, JobExecutionDetails details) {
      hiveManager.DispatchScenario(user, scenario, details);
      return true;
    }

    public IEnumerable<Model.Job> GetJobs(Model.User user) {
      return hiveManager.GetJobs(user);
    }


    public Model.Job GetJob(Model.User user, string id) {
      return hiveManager.GetJob(user, id);
    }


    public bool DeleteJob(Model.User user, string id) {
      return hiveManager.DeleteJob(user, id);
    }


    public IList<Model.Run> GetJobResults(Model.User user, string id) {
      return hiveManager.GetJobResults(user, id);
    }


    public bool AddHiveScenario(User user, string scenarioXml, string scenarioMapper) {
      var scenario = parser.ParseScenarioFromXml(scenarioXml);
      if (scenario == null) {
        return false;
      }      
      var added = hiveManager.AddScenario(user, scenario.Id, scenarioXml, scenarioMapper);
      if (added) 
        scenarios.Add(scenario);
      return added;
    }

    public bool DeleteHiveScenario(User user, string scenarioName) {
      var scen = GetOptimizationScenarioByName(scenarioName);
      if (scen != null) {
        scenarios.Remove(scen);
        return hiveManager.DeleteScenario(user, scenarioName);
      }
      return false;
    }

    public IEnumerable<string> GetOptimizationScenarioNames() {
      return (from e in scenarios
              select e.Id).AsEnumerable();      
    }


    public string SaveExperiment(User user, Experiment experiment) {      
      // make sure all algorithms store their choices aswell
      var scenarioMap = new Dictionary<string, OptimizationScenario>();
      var algos = new Stack<Algorithm>();
      foreach (var algo in experiment.Algorithm) algos.Push(algo);
      
      

      while (algos.Count > 0) {
        var algo = algos.Pop();
        if (algo.ChildAlgorithms != null)
          foreach (var child in algo.ChildAlgorithms) algos.Push(child);

        if (AlgorithmHelper.HasToBeUpdated(algo)) {
          OptimizationScenario scenario;
          if (!scenarioMap.TryGetValue(algo.Name, out scenario)) {
            scenario = GetOptimizationScenarioByName(algo.Name);
            scenarioMap[algo.Name] = scenario;
          }
          
          AlgorithmHelper.Update(algo, scenario);
        }
      }

      // finally store the experiment
      var id = hiveManager.SaveExperiment(user, experiment);
      // if it has been stored, and jobdetails are present, run the job!
      if (id != null && experiment.JobDetails != null) {
        ScheduleExperiment(user, experiment.Id, experiment.JobDetails);
      }
      return id;
    }


    public IEnumerable<string> GetExperimentNames(User user) {
      return hiveManager.GetExperimentNames(user);
    }


    public bool DeleteExperiment(User user, string experiment) {
      return hiveManager.DeleteExperiment(user, experiment);
    }


    public Job GetTasks(User u, string jobId) {
      return hiveManager.GetTasks(u, jobId);
    }

    public Task GetTaskData(User u, string jobId, string taskId) {
      return hiveManager.GetTaskData(u, jobId, taskId);
    }


    public Experiment GetExperimentByName(User user, string scenario) {
      return hiveManager.GetExperimentByName(user, scenario);
    }


    public bool ScheduleExperiment(User user, string experimentId, JobExecutionDetails details) {
      var exp = hiveManager.GetExperimentById(user, experimentId);
      return hiveManager.DispatchExperiment(user, exp, details);
    }


    public IEnumerable<Experiment> GetExperiments(User user, bool namesOnly=false) {
      return hiveManager.GetExperiments(user, namesOnly);
    }

    public Experiment GetExperimentById(User u, string nodeId) {
      return hiveManager.GetExperimentById(u, nodeId);
    }


    public string GetVisualExtension(string algorithmId) {
      return hiveManager.GetVisualExtension(algorithmId); 
    }


    public bool AddVisualExtension(string algorithmId, string script) {
      return hiveManager.AddVisualExtension(algorithmId, script);
    }

    public bool DeleteVisualExtension(string algorithmId) {
      return hiveManager.DeleteVisualExtension(algorithmId);
    }
  }
}