122 lines
2.7 KiB
Java
Executable File
122 lines
2.7 KiB
Java
Executable File
package org.gcube.data.analysis.nlphub.legacy;
|
|
|
|
import java.util.ArrayList;
|
|
|
|
import org.slf4j.Logger;
|
|
import org.slf4j.LoggerFactory;
|
|
|
|
import com.google.gson.JsonArray;
|
|
import com.google.gson.JsonObject;
|
|
|
|
public class NerOutput {
|
|
private static final Logger logger = LoggerFactory.getLogger(NerOutput.class);
|
|
|
|
private String text, annotations, language;
|
|
private ArrayList<NerAlgorithm> result;
|
|
|
|
public NerOutput(String text, String annotations, String language) {
|
|
logger.debug("NerOutput: [text="+text+", annotations="+annotations+", language="+language+"]");
|
|
this.text = text;
|
|
this.annotations = annotations;
|
|
this.language = language;
|
|
result = new ArrayList<>();
|
|
}
|
|
|
|
public void addNerAlgorithm(NerAlgorithm alg) {
|
|
result.add(alg);
|
|
}
|
|
|
|
public JsonObject toJson() {
|
|
JsonObject json = new JsonObject();
|
|
json.addProperty("text", text);
|
|
json.addProperty("annotations", annotations);
|
|
json.addProperty("language", language);
|
|
|
|
JsonArray jResult = new JsonArray();
|
|
for(NerAlgorithm a : result) {
|
|
jResult.add(a.toJson());
|
|
}
|
|
|
|
json.add("result",jResult);
|
|
return json;
|
|
}
|
|
|
|
public String getText() {
|
|
return text;
|
|
}
|
|
|
|
public void setText(String text) {
|
|
this.text = text;
|
|
}
|
|
|
|
public String getAnnotations() {
|
|
return annotations;
|
|
}
|
|
|
|
public void setAnnotations(String annotations) {
|
|
this.annotations = annotations;
|
|
}
|
|
|
|
public String getLanguage() {
|
|
return language;
|
|
}
|
|
|
|
public void setLanguage(String language) {
|
|
this.language = language;
|
|
}
|
|
|
|
public ArrayList<NerAlgorithm> getResult() {
|
|
return result;
|
|
}
|
|
|
|
public void setResult(ArrayList<NerAlgorithm> result) {
|
|
this.result = result;
|
|
}
|
|
|
|
public static void main(String[] args) {
|
|
NerAlgorithm alg = new NerAlgorithm("Algorithm-name");
|
|
|
|
NerEntity ne1 = new NerEntity(11, 22);
|
|
ne1.addProperty("type", "scalar");
|
|
ne1.addProperty("unit", "hours");
|
|
|
|
NerEntity ne2 = new NerEntity(33, 44);
|
|
ne2.addProperty("type", "scalar");
|
|
ne2.addProperty("unit", "minutes");
|
|
|
|
NerAnnotationData nad = new NerAnnotationData("Measure");
|
|
nad.addNerEntity(ne1);
|
|
nad.addNerEntity(ne2);
|
|
|
|
alg.addAnnotationData(nad);
|
|
|
|
ne1 = new NerEntity(0, 10);
|
|
ne2 = new NerEntity(111, 114);
|
|
nad = new NerAnnotationData("Person");
|
|
nad.addNerEntity(ne1);
|
|
nad.addNerEntity(ne2);
|
|
|
|
alg.addAnnotationData(nad);
|
|
|
|
NerAlgorithm alg2 = new NerAlgorithm("Algorithm-name-2");
|
|
|
|
ne1 = new NerEntity(1, 22);
|
|
ne2 = new NerEntity(30, 33);
|
|
|
|
nad = new NerAnnotationData("Measure");
|
|
nad.addNerEntity(ne1);
|
|
nad.addNerEntity(ne2);
|
|
|
|
alg2.addAnnotationData(nad);
|
|
|
|
|
|
NerOutput no = new NerOutput("this is the text", "Measure,Person", "english");
|
|
no.addNerAlgorithm(alg);
|
|
no.addNerAlgorithm(alg2);
|
|
|
|
System.out.println(no.toJson().toString());
|
|
|
|
}
|
|
|
|
}
|