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Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
 
 package org.apache.ctakes.temporal.ae;
 
 import java.io.File;
 //import java.io.IOException;
 import java.util.List;
 import java.util.Map;
 //import java.util.Map;
 
 //import org.apache.ctakes.temporal.ae.feature.CoveredTextToValuesExtractor;
 //import org.apache.ctakes.temporal.ae.feature.duration.DurationExpectationFeatureExtractor;
 import  org.cleartk.classifier.CleartkAnnotator;
 import  org.cleartk.classifier.DataWriter;
 import  org.cleartk.classifier.Feature;
 import  org.cleartk.classifier.Instance;
 import  org.cleartk.classifier.feature.extractor.CleartkExtractor;
 import  org.cleartk.classifier.feature.extractor.CleartkExtractor.Covered;
 import  org.cleartk.classifier.feature.extractor.CleartkExtractor.Following;
 import  org.cleartk.classifier.feature.extractor.CleartkExtractor.Preceding;
 import  org.cleartk.classifier.feature.extractor.simple.CombinedExtractor;
 import  org.cleartk.classifier.feature.extractor.simple.CoveredTextExtractor;
 import  org.cleartk.classifier.feature.extractor.simple.TypePathExtractor;
 import  org.cleartk.classifier.jar.DefaultDataWriterFactory;
 import  org.cleartk.classifier.jar.DirectoryDataWriterFactory;
 import  org.cleartk.classifier.jar.GenericJarClassifierFactory;
 
 //import com.google.common.base.Charsets;
 
 public class EventAdmissionTimeAnnotator extends CleartkAnnotator<String> {
 
 			Class<? extends DataWriter<String>> dataWriterClass,
 					File outputDirectorythrows ResourceInitializationException {
 		return AnalysisEngineFactory.createPrimitiveDescription(
 				CleartkAnnotator.PARAM_IS_TRAINING,
 				true,
 				DefaultDataWriterFactory.PARAM_DATA_WRITER_CLASS_NAME,
 				dataWriterClass,
 				DirectoryDataWriterFactory.PARAM_OUTPUT_DIRECTORY,
 				outputDirectory);
 	}
 	
 		return AnalysisEngineFactory.createPrimitiveDescription(
 				CleartkAnnotator.PARAM_IS_TRAINING,
 				false,
 				GenericJarClassifierFactory.PARAM_CLASSIFIER_JAR_PATH,
 				modelPath);
 	}	

  

Deprecated:
use String path instead of File. ClearTK will automatically Resolve the String to an InputStream. This will allow resources to be read within from a jar as well as File.
 
 	public static AnalysisEngineDescription createAnnotatorDescription(File modelDirectory)
		return AnalysisEngineFactory.createPrimitiveDescription(
				CleartkAnnotator.PARAM_IS_TRAINING,
				false,
				GenericJarClassifierFactory.PARAM_CLASSIFIER_JAR_PATH,
				new File(modelDirectory"model.jar"));
	}
	private CleartkExtractor contextExtractor;
	//  private CoveredTextToValuesExtractor disSemExtractor;
	//  private DurationExpectationFeatureExtractor durationExtractor;
	public void initialize(UimaContext contextthrows ResourceInitializationException {
		super.initialize(context);
		CombinedExtractor baseExtractor = new CombinedExtractor(
				new CoveredTextExtractor(),
				new TypePathExtractor(BaseToken.class"partOfSpeech"));
		this. = new CleartkExtractor(
				BaseToken.class,
				baseExtractor,
				new Preceding(3),
				new Covered(),
				new Following(3));
	}
	public void process(JCas jCasthrows AnalysisEngineProcessException {
		//get discharge Time id: T1:
		TimeMention admissionTime = null;
		//TODO
		//may need better way to identify Discharge Time other than relative span information:
		for (TimeMention time : JCasUtil.selectCovered(jCasTimeMention.class, 15, 30)) {
			if(time.getTimeClass().equals("DATE")){
				admissionTime = time;
				break;
			}
		}
		if (admissionTime != null){
			//get event-time1 relations:
			Map<List<Annotation>, TemporalTextRelationdischargeTimeRelationLookup;
		    dischargeTimeRelationLookup = new HashMap<>();
		    if (this.isTraining()) {
		      dischargeTimeRelationLookup = new HashMap<>();
		      for (TemporalTextRelation relation : JCasUtil.select(jCasTemporalTextRelation.class)) {
		        Annotation arg1 = relation.getArg1().getArgument();
		        Annotation arg2 = relation.getArg2().getArgument();
		        // The key is a list of args so we can do bi-directional lookup
		        if(arg1 instanceof TimeMention && arg2 instanceof EventMention ){
		        	ifarg1==admissionTime){
		        		dischargeTimeRelationLookup.put(Arrays.asList(arg1arg2), relation);
		        		continue;
		        	}
		        }else if(arg1 instanceof EventMention && arg2 instanceof TimeMention){
		        	ifarg2==admissionTime ){
		        		dischargeTimeRelationLookup.put(Arrays.asList(arg1arg2), relation);
		        		continue;
		        	}
		        }
		        
		      }
		    }
		    
			for (EventMention eventMention : JCasUtil.select(jCasEventMention.class)) {
				if (eventMention.getEvent() != null) {
					List<Feature> features = this..extract(jCaseventMention);
					features.addAll(this..extract(jCaseventMention));//add nearby verb POS pattern feature
					features.addAll(this..extract(jCaseventMention)); //add section heading
					features.addAll(this..extract(jCaseventMention)); //add closest verb
					features.addAll(this..extract(jCaseventMention)); //add the closest time expression types
					features.addAll(this..extract(jCaseventMention)); //add the closest time expression types
					features.addAll(this..extract(jCaseventMention)); //add the closest NE type
					features.addAll(this..extract(jCaseventMention)); //add umls features
					//        features.addAll(this.durationExtractor.extract(jCas, eventMention)); //add duration feature
					//        features.addAll(this.disSemExtractor.extract(jCas, eventMention)); //add distributional semantic features
					if (this.isTraining()) {
						TemporalTextRelation relation = dischargeTimeRelationLookup.get(Arrays.asList(eventMentionadmissionTime));
						String category = null;
						if (relation != null) {
							category = relation.getCategory();
else {
							relation = dischargeTimeRelationLookup.get(Arrays.asList(admissionTimeeventMention));
							if (relation != null) {
								if(relation.getCategory().equals("OVERLAP")){
									category = relation.getCategory();
								}else if (relation.getCategory().equals("BEFORE")){
									category = "AFTER";
								}else if (relation.getCategory().equals("AFTER")){
									category = "BEFORE";
								}
							}
						}
						if(category!=null){
							this..write(new Instance<>(categoryfeatures));
						}
else {
						String outcome = this..classify(features);
						if(outcome!=null){
							// add the relation to the CAS
						    RelationArgument relArg1 = new RelationArgument(jCas);
						    relArg1.setArgument(eventMention);
						    relArg1.setRole("Argument");
						    relArg1.addToIndexes();
						    RelationArgument relArg2 = new RelationArgument(jCas);
						    relArg2.setArgument(admissionTime);
						    relArg2.setRole("Related_to");
						    relArg2.addToIndexes();
						    TemporalTextRelation relation = new TemporalTextRelation(jCas);
						    relation.setArg1(relArg1);
						    relation.setArg2(relArg2);
						    relation.setCategory(outcome);
						    relation.addToIndexes();
						}else{
							..println("cannot classify "eventMention.getCoveredText()+" and " + admissionTime.getCoveredText());
						}
					}
				}
			}
		}
	}
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