#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
 *
 * This file is part of HeuristicLab.
 *
 * HeuristicLab is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * HeuristicLab is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
 */
#endregion

using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.IntegerVectorEncoding;
using HeuristicLab.Operators;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Problems.GeneralizedQuadraticAssignment {
  /// <summary>
  /// An operator for analyzing the best solution of Generalized Quadratic Assignment Problems.
  /// </summary>
  [Item("GeneralizedQAP Solution Archive Analyzer", "An operator for analyzing the archive of found solutions for the GQAP.")]
  [StorableClass]
  public sealed class GQAPSolutionArchiveAnalyzer : SingleSuccessorOperator, IAssignmentsAwareGQAPOperator,
    IQualitiesAwareGQAPOperator, IDistancesAwareGQAPOperator, IWeightsAwareGQAPOperator, IInstallationCostsAwareGQAPOperator,
    IDemandsAwareGQAPOperator, ICapacitiesAwareGQAPOperator, ITransportationCostsAwareGQAPOperator,
    IExpectedRandomQualityAwareGQAPOperator, IEquipmentNamesAwareGQAPOperator, ILocationNamesAwareGQAPOperator,
    IBestKnownSolutionsAwareGQAPOperator, IEvaluatorAwareGQAPOperator, IAnalyzer {

    public bool EnabledByDefault {
      get { return true; }
    }

    public IScopeTreeLookupParameter<IntegerVector> AssignmentParameter {
      get { return (IScopeTreeLookupParameter<IntegerVector>)Parameters["Assignment"]; }
    }
    public ILookupParameter<BoolValue> MaximizationParameter {
      get { return (ILookupParameter<BoolValue>)Parameters["Maximization"]; }
    }
    public IScopeTreeLookupParameter<DoubleValue> QualityParameter {
      get { return (IScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
    }
    public IScopeTreeLookupParameter<DoubleValue> FlowDistanceQualityParameter {
      get { return (IScopeTreeLookupParameter<DoubleValue>)Parameters["FlowDistanceQuality"]; }
    }
    public IScopeTreeLookupParameter<DoubleValue> InstallationQualityParameter {
      get { return (IScopeTreeLookupParameter<DoubleValue>)Parameters["InstallationQuality"]; }
    }
    public IScopeTreeLookupParameter<DoubleValue> OverbookedCapacityParameter {
      get { return (IScopeTreeLookupParameter<DoubleValue>)Parameters["OverbookedCapacity"]; }
    }
    public ILookupParameter<DoubleMatrix> DistancesParameter {
      get { return (ILookupParameter<DoubleMatrix>)Parameters["Distances"]; }
    }
    public ILookupParameter<DoubleMatrix> WeightsParameter {
      get { return (ILookupParameter<DoubleMatrix>)Parameters["Weights"]; }
    }
    public ILookupParameter<DoubleMatrix> InstallationCostsParameter {
      get { return (ILookupParameter<DoubleMatrix>)Parameters["InstallationCosts"]; }
    }
    public ILookupParameter<DoubleArray> DemandsParameter {
      get { return (ILookupParameter<DoubleArray>)Parameters["Demands"]; }
    }
    public ILookupParameter<DoubleArray> CapacitiesParameter {
      get { return (ILookupParameter<DoubleArray>)Parameters["Capacities"]; }
    }
    public IValueLookupParameter<DoubleValue> TransportationCostsParameter {
      get { return (IValueLookupParameter<DoubleValue>)Parameters["TransportationCosts"]; }
    }
    public IValueLookupParameter<DoubleValue> ExpectedRandomQualityParameter {
      get { return (IValueLookupParameter<DoubleValue>)Parameters["ExpectedRandomQuality"]; }
    }
    public ILookupParameter<StringArray> EquipmentNamesParameter {
      get { return (ILookupParameter<StringArray>)Parameters["EquipmentNames"]; }
    }
    public ILookupParameter<StringArray> LocationNamesParameter {
      get { return (ILookupParameter<StringArray>)Parameters["LocationNames"]; }
    }
    public IValueLookupParameter<ResultCollection> ResultsParameter {
      get { return (IValueLookupParameter<ResultCollection>)Parameters["Results"]; }
    }
    public ILookupParameter<GQAPAssignmentArchive> BestKnownSolutionsParameter {
      get { return (ILookupParameter<GQAPAssignmentArchive>)Parameters["BestKnownSolutions"]; }
    }
    public IValueLookupParameter<IGQAPEvaluator> EvaluatorParameter {
      get { return (IValueLookupParameter<IGQAPEvaluator>)Parameters["Evaluator"]; }
    }

    [StorableConstructor]
    private GQAPSolutionArchiveAnalyzer(bool deserializing) : base(deserializing) { }
    private GQAPSolutionArchiveAnalyzer(GQAPSolutionArchiveAnalyzer original, Cloner cloner) : base(original, cloner) { }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new GQAPSolutionArchiveAnalyzer(this, cloner);
    }
    public GQAPSolutionArchiveAnalyzer()
      : base() {
      Parameters.Add(new LookupParameter<BoolValue>("Maximization", GeneralizedQuadraticAssignmentProblem.MaximizationDescription));
      Parameters.Add(new LookupParameter<DoubleMatrix>("Distances", GeneralizedQuadraticAssignmentProblem.DistancesDescription));
      Parameters.Add(new LookupParameter<DoubleMatrix>("Weights", GeneralizedQuadraticAssignmentProblem.WeightsDescription));
      Parameters.Add(new LookupParameter<DoubleMatrix>("InstallationCosts", GeneralizedQuadraticAssignmentProblem.InstallationCostsDescription));
      Parameters.Add(new LookupParameter<DoubleArray>("Demands", GeneralizedQuadraticAssignmentProblem.DemandsDescription));
      Parameters.Add(new LookupParameter<DoubleArray>("Capacities", GeneralizedQuadraticAssignmentProblem.CapacitiesDescription));
      Parameters.Add(new ValueLookupParameter<DoubleValue>("TransportationCosts", GeneralizedQuadraticAssignmentProblem.TransportationCostsDescription));
      Parameters.Add(new ValueLookupParameter<DoubleValue>("ExpectedRandomQuality", GeneralizedQuadraticAssignmentProblem.ExpectedRandomQualityDescription));
      Parameters.Add(new ScopeTreeLookupParameter<IntegerVector>("Assignment", GQAPSolutionCreator.AssignmentDescription));
      Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", GQAPEvaluator.QualityDescription));
      Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("FlowDistanceQuality", GQAPEvaluator.FlowDistanceQualityDescription));
      Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("InstallationQuality", GQAPEvaluator.InstallationQualityDescription));
      Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("OverbookedCapacity", GQAPEvaluator.OverbookedCapacityDescription));
      Parameters.Add(new LookupParameter<StringArray>("EquipmentNames", GeneralizedQuadraticAssignmentProblem.EquipmentNamesDescription));
      Parameters.Add(new LookupParameter<StringArray>("LocationNames", GeneralizedQuadraticAssignmentProblem.LocationNamesDescription));
      Parameters.Add(new ValueLookupParameter<ResultCollection>("Results", "The result collection where the best GQAP solution should be stored."));
      Parameters.Add(new LookupParameter<GQAPAssignmentArchive>("BestKnownSolutions", GeneralizedQuadraticAssignmentProblem.BestKnownSolutionsDescription));
      Parameters.Add(new ValueLookupParameter<IGQAPEvaluator>("Evaluator", "The evaluator that is used to evaluate GQAP solutions."));
    }

    public override IOperation Apply() {
      var evaluator = EvaluatorParameter.ActualValue;
      var assignments = AssignmentParameter.ActualValue;
      var qualities = QualityParameter.ActualValue;
      var equipmentNames = EquipmentNamesParameter.ActualValue;
      var locationNames = LocationNamesParameter.ActualValue;
      var flowDistanceQualities = FlowDistanceQualityParameter.ActualValue;
      var installationQualities = InstallationQualityParameter.ActualValue;
      var overbookedCapacities = OverbookedCapacityParameter.ActualValue;
      var distances = DistancesParameter.ActualValue;
      var weights = WeightsParameter.ActualValue;
      var installationCosts = InstallationCostsParameter.ActualValue;
      var demands = DemandsParameter.ActualValue;
      var capacities = CapacitiesParameter.ActualValue;
      var transportationCosts = TransportationCostsParameter.ActualValue;
      var expectedRandomQuality = ExpectedRandomQualityParameter.ActualValue;
      var results = ResultsParameter.ActualValue;
      var maximization = MaximizationParameter.ActualValue.Value;

      GQAPAssignmentArchive archive = results.ContainsKey("Solution Archive") ? results["Solution Archive"].Value as GQAPAssignmentArchive : null;
      if (archive == null) {
        archive = new GQAPAssignmentArchive(equipmentNames, locationNames, distances, weights, installationCosts, demands, capacities, transportationCosts, expectedRandomQuality, evaluator);
        results.Add(new Result("Solution Archive", archive));
      } else {
        archive.EquipmentNames = equipmentNames;
        archive.LocationNames = locationNames;
        archive.Distances = distances;
        archive.Weights = weights;
        archive.InstallationCosts = installationCosts;
        archive.Demands = demands;
        archive.Capacities = capacities;
        archive.TransportationCosts = transportationCosts;
        archive.ExpectedRandomQuality = expectedRandomQuality;
        archive.Evaluator = evaluator;
      }

      var solutions = Enumerable.Range(0, assignments.Length)
        .Select(i => new GQAPSolution(assignments[i], qualities[i], flowDistanceQualities[i], installationQualities[i], overbookedCapacities[i]))
        .Concat(archive.Solutions);
      archive.Solutions = GQAPSolutionArchiveUpdater.GetFeasibleParetoFront(solutions);

      GQAPAssignmentArchive bestKnownArchive = BestKnownSolutionsParameter.ActualValue;
      if (bestKnownArchive == null) {
        bestKnownArchive = new GQAPAssignmentArchive();
        BestKnownSolutionsParameter.ActualValue = bestKnownArchive;
      } else {
        var archiveSolutions = Enumerable.Range(0, assignments.Length)
        .Select(i => new GQAPSolution(assignments[i], qualities[i], flowDistanceQualities[i], installationQualities[i], overbookedCapacities[i]))
        .Concat(archive.Solutions);
        bestKnownArchive.Solutions = GQAPSolutionArchiveUpdater.GetFeasibleParetoFront(archiveSolutions);
      }

      return base.Apply();
    }
  }
}