package OCI.OPM.VEC.SVQ.MPC.fhmm.C;
import java.io.IOException;
import java.util.Map;
//作者,著作权人： 罗瑶光，浏阳
public interface BehaviorMap{
  Map<String, String> initBusinessMap() throws IOException;
  Map<String, String> initTradeMap() throws IOException;
  Map<String, String> initFacilityMap() throws IOException;
  Map<String, String> initAckuisitionMap() throws IOException;
  Map<String, String> initCoorporationMap() throws IOException;
  Map<String, String> initPromiseMap() throws IOException;
}
//
package AEU.OPM.VEC.ica;

import java.io.IOException;
import java.util.Iterator;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;

import AEU.AVC.SUQ.engine.EmotionInit;
import AEU.AVC.SUQ.engine.EnvironmentInit;
import AEU.OCI.AVC.SUQ.estimation.C.EmotionSample;
import SVQ.stable.StablePOS;
import OCI.AVC.SUQ.SVQ.MPC.fhmm.C.EmotionMap;
////import OCI.ME.analysis.C.A;
import OEI.ME.analysis.E.CogsBinaryForest_AE;

//作者,著作权人： 罗瑶光，浏阳
public class InitBehaviorICAKernel{
  private double[] kernel;
  public double[] getKernel() {
    return kernel;
  }

  public void I_Kernel(double[] kernel) {
    this.kernel = kernel;
  }

  public List<String> getForRestReturn() {
    return forRestReturn;
  }

  public void I_ForRestReturn(List<String> forRestReturn) {
    this.forRestReturn = forRestReturn;
  }

  private List<String> forRestReturn;
  public double getTrustRate(String text) throws IOException {
    EmotionInit emotionInitEnvironment = new EmotionInit();
    emotionInitEnvironment.IV_(text);
    double positiveCountEnvironment = emotionInitEnvironment.getPositiveCount();
    double totalCountEnvironment = emotionInitEnvironment.getTotalCount();
    positiveCountEnvironment += StablePOS.INT_ONE;
    return positiveCountEnvironment/totalCountEnvironment;
  }

  public double getTrustRate(String text, CogsBinaryForest_AE _A
      , EmotionMap emotionMap) throws IOException {
    EmotionInit emotionInitEnvironment = new EmotionInit();
    emotionInitEnvironment.IV_Exclude_A(text, _A, emotionMap);
    //reduce
    double positiveCountEnvironment = emotionInitEnvironment.getPositiveCount();
    double totalCountEnvironment = emotionInitEnvironment.getTotalCount();
    positiveCountEnvironment += StablePOS.INT_ONE;
    return positiveCountEnvironment/totalCountEnvironment;
  }
  
  public double[] getBehaviorICAKernel(String text) throws IOException {
    forRestReturn = new LinkedList<>();
    kernel = new double[StablePOS.INT_SEVEN];  
    EmotionInit emotionInit = new EmotionInit();
    emotionInit.IV_(text);
    double positiveCount = emotionInit.getPositiveCount();
    double negativeCount = emotionInit.getNegativeCount();
    double totalCount = emotionInit.getTotalCount();
    forRestReturn.add("正面情感：" + positiveCount);
    forRestReturn.add("负面情感：" + negativeCount);
    if(positiveCount == StablePOS.INT_ZERO) {
      positiveCount = StablePOS.INT_ONE;
    }
    if(negativeCount == StablePOS.INT_ZERO) {
      negativeCount = StablePOS.INT_ONE;
    }
    double adjRatio = Math.abs(positiveCount/negativeCount-negativeCount/positiveCount);
    forRestReturn.add("渲染比率：" + adjRatio);
    double phychologicRatio = (positiveCount + negativeCount)/totalCount;
    forRestReturn.add("情绪比率：" + phychologicRatio);
    double infectionRatio = adjRatio*phychologicRatio;
    forRestReturn.add("感染比率：" + infectionRatio);
    kernel[StablePOS.INT_ZERO] = adjRatio;
    kernel[StablePOS.INT_ONE] = phychologicRatio;
    kernel[StablePOS.INT_TWO] = infectionRatio;
    EnvironmentInit environmentInit = new EnvironmentInit();
    environmentInit.IV_FromEmotion(emotionInit.getWordFrequencyMap());
    Map<String, EmotionSample> environmentSampleMap = environmentInit.getEmotionSampleMap();
    forRestReturn.add("观测角度：");
    String environmentText = "";
    Iterator<String> Iterator = environmentSampleMap.keySet().iterator();
    while(Iterator.hasNext()) {
      String word = Iterator.next();
      EmotionSample emotionSample = environmentSampleMap.get(word);
      if(null != emotionSample.getDistinction()) {
        environmentText += emotionSample.getDistinction() + StablePOS.SPACE_STRING;
      }
    }
    forRestReturn.add(environmentText);
    kernel[StablePOS.INT_THREE] = getTrustRate(environmentText);
    forRestReturn.add(StablePOS.EMPTY_STRING + kernel[StablePOS.INT_THREE]);
    forRestReturn.add("信任比率：");
    String motivationText = StablePOS.EMPTY_STRING;
    Iterator = environmentSampleMap.keySet().iterator();
    while(Iterator.hasNext()) {
      String word = Iterator.next();
      EmotionSample emotionSample = environmentSampleMap.get(word);
      if(null != emotionSample.getMotivation()) {
        motivationText += emotionSample.getMotivation() + StablePOS.SPACE_STRING;
      }
    }
    forRestReturn.add(motivationText);
    kernel[StablePOS.INT_FOUR] = getTrustRate(motivationText);
    forRestReturn.add(StablePOS.EMPTY_STRING+kernel[StablePOS.INT_FOUR]);
    forRestReturn.add("执行比率：");
    String trendingText = StablePOS.EMPTY_STRING;
    Iterator = environmentSampleMap.keySet().iterator();
    while(Iterator.hasNext()) {
      String word = Iterator.next();
      EmotionSample emotionSample = environmentSampleMap.get(word);
      if(null != emotionSample.getTrending()) {
        trendingText += emotionSample.getTrending() + StablePOS.SPACE_STRING;
      }
    }
    forRestReturn.add(trendingText);
    kernel[StablePOS.INT_FIVE] = getTrustRate(trendingText);
    forRestReturn.add(StablePOS.EMPTY_STRING + kernel[StablePOS.INT_FIVE]);
    forRestReturn.add("成功比率：");
    String predictionText = StablePOS.EMPTY_STRING;
    Iterator = environmentSampleMap.keySet().iterator();
    while(Iterator.hasNext()) {
      String word = Iterator.next();
      EmotionSample emotionSample = environmentSampleMap.get(word);
      if(null != emotionSample.getPrediction()) {
        predictionText += emotionSample.getPrediction() + StablePOS.SPACE_STRING;
      }
    }
    forRestReturn.add(predictionText);
    kernel[StablePOS.INT_SIX] = getTrustRate(predictionText);
    forRestReturn.add(StablePOS.EMPTY_STRING + kernel[StablePOS.INT_SIX]);
    return kernel;
  }

  public double[] getBehaviorICAKernel(String text, CogsBinaryForest_AE _A
      , EmotionMap emotionMap) throws IOException {
    forRestReturn = new LinkedList<>();
    kernel = new double[StablePOS.INT_SEVEN];  
    EmotionInit emotionInit = new EmotionInit();
    emotionInit.IV_Exclude_A(text, _A, emotionMap);
    double positiveCount = emotionInit.getPositiveCount();
    double negativeCount = emotionInit.getNegativeCount();
    double totalCount = emotionInit.getTotalCount();
    forRestReturn.add("正面情感：" + positiveCount);
    forRestReturn.add("负面情感：" + negativeCount);
    if(positiveCount == StablePOS.INT_ZERO) {
      positiveCount = StablePOS.INT_ONE;
    }
    if(negativeCount == StablePOS.INT_ZERO) {
      negativeCount = StablePOS.INT_ONE;
    }
    double adjRatio = Math.abs(positiveCount/negativeCount-negativeCount/positiveCount);
    forRestReturn.add("渲染比率：" + adjRatio);
    double phychologicRatio = (positiveCount + negativeCount)/totalCount;
    forRestReturn.add("情绪比率：" + phychologicRatio);
    double infectionRatio = adjRatio*phychologicRatio;
    forRestReturn.add("感染比率：" + infectionRatio);
    kernel[StablePOS.INT_ZERO] = adjRatio;
    kernel[StablePOS.INT_ONE] = phychologicRatio;
    kernel[StablePOS.INT_TWO] = infectionRatio;
    EnvironmentInit environmentInit = new EnvironmentInit();
    environmentInit.IV_FromEmotionExcludeEmotion(emotionInit.getWordFrequencyMap()
        , emotionMap);
    Map<String, EmotionSample> environmentSampleMap = environmentInit.getEmotionSampleMap();
    forRestReturn.add("观测角度：");
    String environmentText = StablePOS.EMPTY_STRING;
    Iterator<String> Iterator = environmentSampleMap.keySet().iterator();
    while(Iterator.hasNext()) {
      String word = Iterator.next();
      EmotionSample emotionSample = environmentSampleMap.get(word);
      if(null != emotionSample.getDistinction()) {
        environmentText += emotionSample.getDistinction() + StablePOS.SPACE_STRING;
      }
    }
    forRestReturn.add(environmentText);
    kernel[StablePOS.INT_THREE] = getTrustRate(environmentText, _A, emotionMap);
    forRestReturn.add(StablePOS.EMPTY_STRING+kernel[StablePOS.INT_THREE]);
    forRestReturn.add("信任比率：");
    String motivationText = StablePOS.EMPTY_STRING;
    Iterator = environmentSampleMap.keySet().iterator();
    while(Iterator.hasNext()) {
      String word = Iterator.next();
      EmotionSample emotionSample = environmentSampleMap.get(word);
      if(null != emotionSample.getMotivation()) {
        motivationText += emotionSample.getMotivation() + StablePOS.SPACE_STRING;
      }
    }
    forRestReturn.add(motivationText);
    kernel[StablePOS.INT_FOUR] = getTrustRate(motivationText, _A, emotionMap);
    forRestReturn.add(StablePOS.EMPTY_STRING+kernel[StablePOS.INT_FOUR]);
    forRestReturn.add("执行比率：");
    String trendingText = StablePOS.EMPTY_STRING;
    Iterator = environmentSampleMap.keySet().iterator();
    while(Iterator.hasNext()) {
      String word = Iterator.next();
      EmotionSample emotionSample = environmentSampleMap.get(word);
      if(null != emotionSample.getTrending()) {
        trendingText += emotionSample.getTrending() + StablePOS.SPACE_STRING;
      }
    }
    forRestReturn.add(trendingText);
    kernel[StablePOS.INT_FIVE] = getTrustRate(trendingText, _A, emotionMap);
    forRestReturn.add(StablePOS.EMPTY_STRING+kernel[StablePOS.INT_FIVE]);
    forRestReturn.add("成功比率：");
    String predictionText = StablePOS.EMPTY_STRING;
    Iterator = environmentSampleMap.keySet().iterator();
    while(Iterator.hasNext()) {
      String word = Iterator.next();
      EmotionSample emotionSample = environmentSampleMap.get(word);
      if(null != emotionSample.getPrediction()) {
        predictionText += emotionSample.getPrediction() + StablePOS.SPACE_STRING;
      }
    }
    forRestReturn.add(predictionText);
    kernel[StablePOS.INT_SIX] = getTrustRate(predictionText, _A, emotionMap);
    forRestReturn.add(StablePOS.EMPTY_STRING+kernel[StablePOS.INT_SIX]);
    return kernel;
  }
}