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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.vespa.model.admin.metricsproxy;
import ai.vespa.metrics.set.Metric;
import ai.vespa.metrics.set.MetricSet;
import ai.vespa.metricsproxy.core.ConsumersConfig.Consumer;
import com.yahoo.config.provision.SystemName;
import com.yahoo.vespa.model.admin.monitoring.MetricsConsumer;
import java.util.Comparator;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
/**
* Helper class to generate config for metrics consumers.
*
* @author gjoranv
*/
class ConsumersConfigGenerator {
/**
* @param userConsumers the consumers set up by the user in services.xml
* @return a list of consumer builders (a mapping from consumer to its metrics)
*/
static List<Consumer.Builder> generateConsumers(MetricsConsumer defaultConsumer,
Map<String, MetricsConsumer> userConsumers,
SystemName systemName) {
// Normally, the user given consumers should not contain VESPA_CONSUMER_ID,
// but it's allowed for some internally used applications.
var allConsumers = new LinkedHashMap<>(userConsumers);
allConsumers.put(MetricsConsumer.vespa.id(),
combineConsumers(defaultConsumer, allConsumers.get(MetricsConsumer.vespa.id())));
allConsumers.put(MetricsConsumer.autoscaling.id(), MetricsConsumer.autoscaling);
if (systemName.isPublic())
allConsumers.put(MetricsConsumer.vespaCloud.id(), MetricsConsumer.vespaCloud);
return allConsumers.values().stream()
.map(ConsumersConfigGenerator::toConsumerBuilder)
.toList();
}
/*
* Returns a new consumer that is a combination of the two given consumers
* (ignoring the id of the consumers' metric sets).
* If a metric with the same id exists in both consumers, output name and
* dimensions from the 'overriding' consumer is used, but dimensions from 'original'
* are added if they don't exist in 'overriding'.
*/
private static MetricsConsumer combineConsumers(MetricsConsumer original, MetricsConsumer overriding) {
if (overriding == null) return original;
return addMetrics(original, overriding.metrics());
}
static MetricsConsumer addMetrics(MetricsConsumer original, Map<String, Metric> metrics) {
if (metrics == null) return original;
Map<String, Metric> combinedMetrics = new LinkedHashMap<>(original.metrics());
metrics.forEach((name, newMetric) ->
combinedMetrics.put(name, combineMetrics(original.metrics().get(name), newMetric)));
return new MetricsConsumer(original.id(),
new MetricSet(original.metricSet().getId(), combinedMetrics.values()));
}
private static Metric combineMetrics(Metric original, Metric newMetric) {
return original != null ? newMetric.addDimensionsFrom(original) : newMetric;
}
static Consumer.Builder toConsumerBuilder(MetricsConsumer consumer) {
Consumer.Builder builder = new Consumer.Builder().name(consumer.id());
consumer.metrics().values().stream().sorted(Comparator.comparing(a -> a.name)).forEach(metric -> builder.metric(toConsumerMetricBuilder(metric)));
return builder;
}
private static Consumer.Metric.Builder toConsumerMetricBuilder(Metric metric) {
Consumer.Metric.Builder builder = new Consumer.Metric.Builder().name(metric.name)
.outputname(metric.outputName)
.description(metric.description);
metric.dimensions.forEach((name, value) -> builder.dimension(toMetricDimensionBuilder(name, value)));
return builder;
}
private static Consumer.Metric.Dimension.Builder toMetricDimensionBuilder(String name, String value) {
return new Consumer.Metric.Dimension.Builder()
.key(name)
.value(value);
}
}
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