source: branches/HeuristicLab.Modeling Database Backend/sources/HeuristicLab.CEDMA.Core/3.3/Results.cs @ 2193

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2008 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;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using HeuristicLab.Core;
using System.Collections;
using HeuristicLab.CEDMA.DB.Interfaces;
using System.Xml;
using System.Runtime.Serialization;
using System.IO;
using HeuristicLab.PluginInfrastructure;
using HeuristicLab.Data;
using HeuristicLab.DataAnalysis;
using System.Drawing;

namespace HeuristicLab.CEDMA.Core {
  public class Results : ItemBase {
    private string[] categoricalVariables = null;
    public string[] CategoricalVariables {
      get {
        if (categoricalVariables == null) {
          LoadModelAttributes();
        }
        return categoricalVariables;
      }
    }

    private string[] ordinalVariables = null;
    public string[] OrdinalVariables {
      get {
        if (ordinalVariables == null) {
          LoadModelAttributes();
        }
        return ordinalVariables;
      }
    }

    private string[] multiDimensionalOrdinalVariables = new string[] { "VariableImpacts: EvaluationImpact", "VariableImpacts: QualityImpact" };
    public string[] MultiDimensionalOrdinalVariables {
      get { return multiDimensionalOrdinalVariables; }
    }

    private string[] multiDimensionalCategoricalVariables = new string[] { "VariableImpacts: InputVariableName" };
    public string[] MultiDimensionalCategoricalVariables {
      get { return multiDimensionalCategoricalVariables; }
    }

    private IModelingDatabase database;

    private Dictionary<string, Dictionary<object, double>> categoricalValueIndices = new Dictionary<string, Dictionary<object, double>>();

    public Results(IModelingDatabase database) {
      this.database = database;
    }

    private List<ResultsEntry> entries = null;
    private bool cached = false;
    public IEnumerable<ResultsEntry> GetEntries() {
      if (!cached)
        return SelectRows();
      return entries.AsEnumerable();
    }

    private IEnumerable<ResultsEntry> SelectRows() {
      entries = new List<ResultsEntry>();
      foreach (var model in database.GetAllModels()) {
        ResultsEntry modelEntry = new ResultsEntry();
        foreach(var modelResult in database.GetModelResults(model)) {
          modelEntry.Set(modelResult.Result.Name, modelResult.Value);
        }
        modelEntry.Set("PersistedData", model.Data);
        modelEntry.Set("TargetVariable", model.TargetVariable.Name);
        entries.Add(modelEntry);
      }
      
      FireChanged();
      cached = true;
      return entries;
    }

    //private IEnumerable<ResultsEntry> SelectVariableImpacts(string modelUri) {
    //  var inputVariableNameBindings = store.Query(
    //      "<" + modelUri + "> <" + Ontology.HasInputVariable + "> ?InputVariable ." +
    //      "?InputVariable <" + Ontology.Name + "> ?InputName .",
    //      0, PAGE_SIZE);

    //  var qualityImpactBindings = store.Query(
    //      "<" + modelUri + "> <" + Ontology.HasInputVariable + "> ?InputVariable ." +
    //      "?InputVariable <" + Ontology.QualityImpact + "> ?QualityImpact .",
    //      0, PAGE_SIZE);

    //  var evaluationImpactBindings = store.Query(
    //       "<" + modelUri + "> <" + Ontology.HasInputVariable + "> ?InputVariable ." +
    //       "?InputVariable <" + Ontology.EvaluationImpact + "> ?EvaluationImpact .",
    //       0, PAGE_SIZE);
    //  Dictionary<object, ResultsEntry> inputVariableAttributes = new Dictionary<object, ResultsEntry>();

    //  foreach (var inputVariableNameBinding in inputVariableNameBindings) {
    //    object inputVariable = inputVariableNameBinding.Get("InputVariable");
    //    object name = ((Literal)inputVariableNameBinding.Get("InputName")).Value;
    //    if (!inputVariableAttributes.ContainsKey(inputVariable)) {
    //      inputVariableAttributes[inputVariable] = new ResultsEntry();
    //      inputVariableAttributes[inputVariable].Set("InputVariableName", name);
    //    }
    //  }

    //  foreach (var qualityImpactBinding in qualityImpactBindings) {
    //    double qualityImpact = (double)((Literal)qualityImpactBinding.Get("QualityImpact")).Value;
    //    object inputVariable = qualityImpactBinding.Get("InputVariable");
    //    if (!IsAlmost(qualityImpact, 1.0)) {
    //      if (inputVariableAttributes[inputVariable].Get("QualityImpact") == null)
    //        inputVariableAttributes[inputVariable].Set("QualityImpact", qualityImpact);
    //    } else inputVariableAttributes.Remove(inputVariable);
    //  }

    //  foreach (var evaluationImpactBinding in evaluationImpactBindings) {
    //    double evaluationImpact = (double)((Literal)evaluationImpactBinding.Get("EvaluationImpact")).Value;
    //    object inputVariable = evaluationImpactBinding.Get("InputVariable");
    //    if (!IsAlmost(evaluationImpact, 0.0)) {
    //      if (inputVariableAttributes.ContainsKey(inputVariable) && inputVariableAttributes[inputVariable].Get("EvaluationImpact") == null)
    //        inputVariableAttributes[inputVariable].Set("EvaluationImpact", evaluationImpact);
    //    } else inputVariableAttributes.Remove(inputVariable);
    //  }

    //  return inputVariableAttributes.Values;
    //}

    private bool IsAlmost(double x, double y) {
      return Math.Abs(x - y) < 1.0E-12;
    }

    internal IEnumerable<string> SelectModelAttributes() {
      return CategoricalVariables.Concat(OrdinalVariables);
    }

    private void LoadModelAttributes() {
      ordinalVariables = database.GetAllResults().Select(r => r.Name);
      categoricalVariables = new string[] { "TargetVariable" };
    }

    public double IndexOfCategoricalValue(string variable, object value) {
      if (value == null) return double.NaN;
      Dictionary<object, double> valueToIndexMap;
      if (categoricalValueIndices.ContainsKey(variable)) {
        valueToIndexMap = categoricalValueIndices[variable];
      } else {
        valueToIndexMap = new Dictionary<object, double>();
        categoricalValueIndices[variable] = valueToIndexMap;
      }
      if (!valueToIndexMap.ContainsKey(value)) {
        if (valueToIndexMap.Values.Count == 0) valueToIndexMap[value] = 1.0;
        else valueToIndexMap[value] = 1.0 + valueToIndexMap.Values.Max();
      }
      return valueToIndexMap[value];
    }
  }
}