using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
using HeuristicLab.Operators;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.PluginInfrastructure;
using System;
using System.IO;
using System.Threading;
using System.Xml;

namespace HeuristicLab.Problems.Robocode
{
    [StorableClass]
    [Item("Robocode Evaluator", "Evaluator for the Robocode GP problem.")]
    public class Evaluator : SingleSuccessorOperator,
      ISingleObjectiveEvaluator
    {
        #region parameter names
        private const string QualityParameterName = "Quality";
        private const string TankProgramParameterName = "TankProgram";
        private const string RobocodePathParamaterName = "Path";
        private const string CoevolutionParameterName = "Coevolution";


        private static string solutionTemplatePath = "";
        public static string SolutionTemplate
        {
            get { return solutionTemplatePath; }
            set
            {
                solutionTemplatePath = value;
            }
        }

        public static SemaphoreSlim semaphore = new SemaphoreSlim(10);
        #endregion


        #region parameters
        public ILookupParameter<DoubleValue> QualityParameter
        {
            get
            {
                return (ILookupParameter<DoubleValue>)
                         Parameters[QualityParameterName];
            }
        }
        public ILookupParameter<ISymbolicExpressionTree> TankProgramParameter
        {
            get
            {
                return (ILookupParameter<ISymbolicExpressionTree>)
                         Parameters[TankProgramParameterName];
            }
        }
        public ILookupParameter<StringValue> RobocodePathParameter
        {
            get
            {
                return (ILookupParameter<StringValue>)
                    Parameters[RobocodePathParamaterName];
            }
        }
        public ILookupParameter<BoolValue> CoevolutionParameter
        {
            get
            {
                return (ILookupParameter<BoolValue>)
                    Parameters[CoevolutionParameterName];
            }
        }
        #endregion

        
        [StorableConstructor]
        protected Evaluator(bool deserializing) : base(deserializing) { }
        protected Evaluator(Evaluator original, Cloner cloner)
            : base(original, cloner)
        {
        }

        // default constructor for the evaluator
        public Evaluator()
        {
            Parameters.Add(
              new LookupParameter<DoubleValue>(
                QualityParameterName,
                "The solution quality of the Robocode tank program."));
            Parameters.Add(
              new LookupParameter<ISymbolicExpressionTree>(
                TankProgramParameterName,
                "The Robocode tank program to evaluate represented as a " +
                "symbolic expression tree."));
            Parameters.Add(
              new LookupParameter<StringValue>(
                RobocodePathParamaterName,
                "Path of the Robocode installation."));
            Parameters.Add(
                new LookupParameter<BoolValue>(
                    CoevolutionParameterName,
                    "Use Coevolution"));

            SolutionTemplate = "../tank.xml";
        }

        // override the apply method to change the behaviour of the operator
        // here we take trees as inputs and calculate qualities 
        // (fitness evaluation)
        public override IOperation Apply()
        {
            semaphore.Wait();
            
            ISymbolicExpressionTree tree = TankProgramParameter.ActualValue;
            //XmlDocument doc = new XmlDocument();
            //doc.Load("../tank.xml");
            XmlNode node = null;
            string path = RobocodePathParameter.ActualValue.Value;

            if (CoevolutionParameter.ActualValue.Value)
            {
                var trees = ExecutionContext.Parent.Scope.SubScopes;//SymbolicExpressionTreeParameter.ActualValue;
                if (trees.Count == 2)
                {
                    trees = trees[0].SubScopes;
                    //treeCount = trees[0].SubScopes.Count;
                    //int selTreeCount = trees[1].SubScopes.Count;
                }

                Random random = new Random();
                ScopeList chosenScopes = new ScopeList(5);
                for (int i = 0; i < 5; i++)
                {
                    var newScope = trees.ToArray()[random.Next(0, trees.Count - 1)];
                    chosenScopes.Add(newScope);
                }

                //if (evaluations % 99 == 0)
                //    evaluations = evaluations;

                QualityParameter.ActualValue = new DoubleValue(Interpreter.EvaluateTankProgram(tree, chosenScopes, node, path));
            }
            else
                QualityParameter.ActualValue = new DoubleValue(Interpreter.EvaluateTankProgram(tree, node, path));

            semaphore.Release();

            // important: return base.Apply() to make sure that the
            // next operator is queued for execution
            return base.Apply();
        }

        public override IDeepCloneable Clone(Cloner cloner)
        {
            return new Evaluator(this, cloner);
        }

        public bool EnabledByDefault
        {
            get { return true; }
        }
    }
}