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1 package de.mpiwg.anteater.results;
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2
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3 import java.util.ArrayList;
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4 import java.util.HashMap;
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5 import java.util.List;
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6 import java.util.Map;
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7
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8 import de.mpiwg.anteater.AnteaterConfiguration;
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9 import de.mpiwg.anteater.text.TextInformation;
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10
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11 public abstract class AResultManager<E extends IResult<?,?>> {
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12
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13 private AnteaterConfiguration configuration;
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14
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15 public AResultManager(AnteaterConfiguration configuration) {
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16 this.configuration = configuration;
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17 }
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18
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19 protected abstract List<AnnotationTag> getSpecificSummaryTags(List<E> results, int textIndex);
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20 protected abstract List<AnnotationTag> getSpecificSuppleInfTags(List<E> applicants, int textIndex);
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21
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22 public List<AnnotationTag> getSummaryTags(List<E> results, int textIndex) {
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23 return getSpecificSummaryTags(results, textIndex);
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24 }
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25
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26 public List<AnnotationTag> getSuppleInfTags(List<E> results, int textIndex) {
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27 return getSpecificSuppleInfTags(results, textIndex);
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28 }
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29
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30 public Map<TextInformation, List<E>> sortResultsByText(List<E> results) {
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31 configuration.getLogger().logMessage(getClass().getSimpleName(), "Sorting results by texts.");
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32
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33 Map<TextInformation, List<E>> resultsPerText = new HashMap<TextInformation, List<E>>();
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34
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35 for (E r : results) {
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36
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37 List<E> appResults = resultsPerText.get(r.getTextInfo());
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38 if (appResults == null) {
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39 appResults = new ArrayList<E>();
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40 resultsPerText.put(r.getTextInfo(), appResults);
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41 }
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42 appResults.add(r);
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43 }
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44
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45 return resultsPerText;
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46 }
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47
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48 public List<E> getPredictedResults(List<E> results) {
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49 List<E> predictedResults = new ArrayList<E>();
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50
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51 if (results == null)
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52 return predictedResults;
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53
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54 for (E r : results) {
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55 if (r.getPrediction() >= 1.0)
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56 predictedResults.add(r);
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57 }
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58 return predictedResults;
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59 }
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60 }
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