de.dagere.peass.utils.SummaryStatisticsDeserializer Maven / Gradle / Ivy
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package de.dagere.peass.utils;
import java.io.IOException;
import org.apache.commons.math3.stat.descriptive.StatisticalSummary;
import org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues;
import org.apache.commons.math3.stat.descriptive.SummaryStatistics;
import com.fasterxml.jackson.core.JsonParser;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.DeserializationContext;
import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.deser.std.StdDeserializer;
public class SummaryStatisticsDeserializer extends StdDeserializer {
private static final long serialVersionUID = -11534717009382554L;
public SummaryStatisticsDeserializer() {
super(StatisticalSummary.class);
}
@Override
public StatisticalSummary deserialize(final JsonParser p, final DeserializationContext ctxt) throws IOException, JsonProcessingException {
final JsonNode node = p.getCodec().readTree(p);
if (node.isTextual()) {
return new SummaryStatistics();
} else {
final double mean = getDouble(node, "mean");
final double deviation = getDouble(node, "standardDeviation");
final int n = node.get("n").numberValue().intValue();
final double min = node.get("min").isNull() ? 0 : node.get("min").doubleValue();
final double max = node.get("max").isNull() ? 0 : node.get("max").doubleValue();
return new StatisticalSummaryValues(mean, deviation * deviation, n, max, min, mean * n);
}
}
private double getDouble(final JsonNode node, final String fieldName) {
final JsonNode field = node.get(fieldName);
if (field.asText().equals("NaN")) {
return Double.NaN;
} else {
return field.doubleValue();
}
}
}