de.dagere.peass.kieker.aggregateddata.SummaryStatisticsDeserializer Maven / Gradle / Ivy

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package de.dagere.peass.kieker.aggregateddata;

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 {

   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();
      }

   }
}