com.grafana.foundation.elasticsearch.MetricAggregationDeserializer Maven / Gradle / Ivy
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A set of tools, types and libraries for building and manipulating Grafana objects.
// Code generated - EDITING IS FUTILE. DO NOT EDIT.
package com.grafana.foundation.elasticsearch;
import com.fasterxml.jackson.core.JsonParser;
import com.fasterxml.jackson.core.type.TypeReference;
import com.fasterxml.jackson.databind.DeserializationContext;
import com.fasterxml.jackson.databind.JsonDeserializer;
import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import java.io.IOException;
public class MetricAggregationDeserializer extends JsonDeserializer {
@Override
public MetricAggregation deserialize(JsonParser jp, DeserializationContext cxt) throws IOException {
ObjectMapper mapper = (ObjectMapper) jp.getCodec();
JsonNode root = mapper.readTree(jp);
MetricAggregation metricAggregation = new MetricAggregation();
if (!root.has("type")) {
throw new IOException("Cannot find discriminator for MetricAggregation");
}
String discriminator = root.get("type").asText();
switch (discriminator) {
case "avg":
metricAggregation.average = mapper.convertValue(root, Average.class);
break;
case "bucket_script":
metricAggregation.bucketScript = mapper.convertValue(root, BucketScript.class);
break;
case "cardinality":
metricAggregation.uniqueCount = mapper.convertValue(root, UniqueCount.class);
break;
case "count":
metricAggregation.count = mapper.convertValue(root, Count.class);
break;
case "cumulative_sum":
metricAggregation.cumulativeSum = mapper.convertValue(root, CumulativeSum.class);
break;
case "derivative":
metricAggregation.derivative = mapper.convertValue(root, Derivative.class);
break;
case "extended_stats":
metricAggregation.extendedStats = mapper.convertValue(root, ExtendedStats.class);
break;
case "logs":
metricAggregation.logs = mapper.convertValue(root, Logs.class);
break;
case "max":
metricAggregation.max = mapper.convertValue(root, Max.class);
break;
case "min":
metricAggregation.min = mapper.convertValue(root, Min.class);
break;
case "moving_avg":
metricAggregation.movingAverage = mapper.convertValue(root, MovingAverage.class);
break;
case "moving_fn":
metricAggregation.movingFunction = mapper.convertValue(root, MovingFunction.class);
break;
case "percentiles":
metricAggregation.percentiles = mapper.convertValue(root, Percentiles.class);
break;
case "rate":
metricAggregation.rate = mapper.convertValue(root, Rate.class);
break;
case "raw_data":
metricAggregation.rawData = mapper.convertValue(root, RawData.class);
break;
case "raw_document":
metricAggregation.rawDocument = mapper.convertValue(root, RawDocument.class);
break;
case "serial_diff":
metricAggregation.serialDiff = mapper.convertValue(root, SerialDiff.class);
break;
case "sum":
metricAggregation.sum = mapper.convertValue(root, Sum.class);
break;
case "top_metrics":
metricAggregation.topMetrics = mapper.convertValue(root, TopMetrics.class);
break;
}
return metricAggregation;
}
}