package agents.anac.y2018.condagent;


import java.util.List;

import genius.core.Bid;
import genius.core.Domain;
import genius.core.issue.Issue;
import genius.core.utility.AdditiveUtilitySpace;

public class UtilitySpaceHypothesis extends Hypothesis
{
  private WeightHypothesis fWeightHyp;
  private EvaluatorHypothesis[] fEvalHyp;
  private Domain fDomain;
  private AdditiveUtilitySpace fUS;
  List<Issue> issues;
  
  public UtilitySpaceHypothesis(Domain pDomain, AdditiveUtilitySpace pUS, WeightHypothesis pWeightHyp, EvaluatorHypothesis[] pEvalHyp)
  {
    fUS = pUS;
    fDomain = pDomain;
    issues = fDomain.getIssues();
    fWeightHyp = pWeightHyp;
    fEvalHyp = pEvalHyp;
  }
  
  public Domain getDomain() {
    return fDomain;
  }
  
  public AdditiveUtilitySpace getUtilitySpace() {
    return fUS;
  }
  
  public EvaluatorHypothesis[] getEvalHyp() {
    return fEvalHyp;
  }
  
  public WeightHypothesis getHeightHyp() {
    return fWeightHyp;
  }
  
  public double getUtility(Bid pBid) {
    double u = 0.0D;
    
    for (int k = 0; k < fEvalHyp.length; k++) {
      try
      {
        u = u + fWeightHyp.getWeight(k) * 
          fEvalHyp[k].getEvaluator().getEvaluation(fUS, pBid, 
          ((Issue)issues.get(k)).getNumber()).doubleValue();
      }
      catch (Exception e) {
        u = 0.0D;
      }
    }
    return u;
  }
  
  public String toString()
  {
    String lResult = "";
    lResult = lResult + fWeightHyp.toString();
    for (EvaluatorHypothesis lHyp : fEvalHyp) {
      lResult = lResult + lHyp.toString() + ";";
    }
    lResult = lResult + String.format("%1.5f", new Object[] { Double.valueOf(getProbability()) });
    return lResult;
  }
}