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source: trunk/sources/HeuristicLab.CEDMA.Server/3.3/DispatcherBase.cs @ 2273

Last change on this file since 2273 was 2258, checked in by gkronber, 15 years ago
  • Reimplemented method to read a list of already executed algorithms and configurations from the results DB
  • Fixed a bug in the GridExecuter
  • Added a button in the dispatcher view to speed up configuration of input variables

#712

File size: 5.4 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System;
23using System.Collections.Generic;
24using System.Text;
25using System.Windows.Forms;
26using HeuristicLab.PluginInfrastructure;
27using System.Net;
28using System.ServiceModel;
29using System.ServiceModel.Description;
30using System.Linq;
31using HeuristicLab.CEDMA.Core;
32using HeuristicLab.Data;
33using HeuristicLab.Core;
34using HeuristicLab.Modeling;
35using HeuristicLab.Modeling.Database;
36
37namespace HeuristicLab.CEDMA.Server {
38  public abstract class DispatcherBase : IDispatcher {
39    private IModelingDatabase database;
40    public IModelingDatabase Database {
41      get {
42        return database;
43      }
44    }
45    private List<int> allowedTargetVariables;
46    private Dictionary<int, List<int>> activeInputVariables;
47    private Problem problem;
48    public Problem Problem {
49      get {
50        return problem;
51      }
52    }
53    internal event EventHandler Changed;
54    private object locker = new object();
55
56    public IEnumerable<string> TargetVariables {
57      get {
58        if (problem != null) {
59          return Enumerable.Range(0, problem.Dataset.Columns).Select(x => problem.Dataset.GetVariableName(x));
60        } else return new string[0];
61      }
62    }
63
64    public IEnumerable<string> InputVariables {
65      get {
66        if (problem != null) {
67          return TargetVariables;
68        } else return new string[0];
69      }
70    }
71
72    public DispatcherBase(IModelingDatabase database, Problem problem) {
73      this.problem = problem;
74      allowedTargetVariables = new List<int>();
75      activeInputVariables = new Dictionary<int, List<int>>();
76      problem.Changed += (sender, args) => {
77        lock (locker) {
78          allowedTargetVariables.Clear();
79          activeInputVariables.Clear();
80        }
81        OnChanged();
82      };
83      this.database = database;
84    }
85
86    public HeuristicLab.Modeling.IAlgorithm GetNextJob() {
87      if (allowedTargetVariables.Count > 0) {
88        int[] targetVariables, inputVariables;
89        lock (locker) {
90          targetVariables = allowedTargetVariables.ToArray();
91        }
92
93        int targetVariable = SelectTargetVariable(targetVariables);
94
95        lock (locker) {
96          inputVariables = activeInputVariables[targetVariable].ToArray();
97        }
98
99        HeuristicLab.Modeling.IAlgorithm selectedAlgorithm = SelectAndConfigureAlgorithm(targetVariable, inputVariables, problem);
100
101        return selectedAlgorithm;
102      } else return null;
103    }
104
105    public virtual int SelectTargetVariable(int[] targetVariables) {
106      Random rand = new Random();
107      return targetVariables[rand.Next(targetVariables.Length)];
108    }
109    public abstract HeuristicLab.Modeling.IAlgorithm SelectAndConfigureAlgorithm(int targetVariable, int[] inputVariables, Problem problem);
110
111    #region IViewable Members
112
113    public IView CreateView() {
114      return new DispatcherView(this);
115    }
116
117    #endregion
118
119    internal void EnableTargetVariable(string name) {
120      lock (locker)
121        allowedTargetVariables.Add(problem.Dataset.GetVariableIndex(name));
122    }
123
124    internal void DisableTargetVariable(string name) {
125      lock (locker)
126        allowedTargetVariables.Remove(problem.Dataset.GetVariableIndex(name));
127    }
128
129    internal void EnableInputVariable(string target, string name) {
130      lock (locker) {
131        int targetIndex = problem.Dataset.GetVariableIndex(target);
132        int inputIndex = problem.Dataset.GetVariableIndex(name);
133        if (!activeInputVariables.ContainsKey(targetIndex)) activeInputVariables[targetIndex] = new List<int>();
134        if (!activeInputVariables[targetIndex].Contains(inputIndex)) {
135          activeInputVariables[targetIndex].Add(inputIndex);
136        }
137      }
138    }
139
140    internal void DisableInputVariable(string target, string name) {
141      lock (locker) {
142        int targetIndex = problem.Dataset.GetVariableIndex(target);
143        int inputIndex = problem.Dataset.GetVariableIndex(name);
144        if (!activeInputVariables.ContainsKey(targetIndex)) activeInputVariables[targetIndex] = new List<int>();
145        while (activeInputVariables[targetIndex].Remove(inputIndex)) { }
146      }
147    }
148
149    private void OnChanged() {
150      if (Changed != null) Changed(this, new EventArgs());
151    }
152
153    internal IEnumerable<string> GetInputVariables(string target) {
154      int targetIndex = problem.Dataset.GetVariableIndex(target);
155      if (!activeInputVariables.ContainsKey(targetIndex)) activeInputVariables[targetIndex] = new List<int>();
156      return activeInputVariables[targetIndex]
157        .Select(i => problem.Dataset.GetVariableName(i));
158    }
159  }
160}
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