blob: 07fe356a8be952316190994beaf00d1baf538215 [file] [log] [blame]
/*
* Copyright 2018, OpenCensus Authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package io.opencensus.metrics.export;
import com.google.auto.value.AutoValue;
import io.opencensus.common.ExperimentalApi;
import io.opencensus.internal.Utils;
import io.opencensus.metrics.export.Value.ValueDistribution;
import io.opencensus.metrics.export.Value.ValueDouble;
import io.opencensus.metrics.export.Value.ValueLong;
import io.opencensus.metrics.export.Value.ValueSummary;
import java.util.List;
import javax.annotation.concurrent.Immutable;
/**
* A {@link Metric} with one or more {@link TimeSeries}.
*
* @since 0.17
*/
@ExperimentalApi
@Immutable
@AutoValue
public abstract class Metric {
Metric() {}
/**
* Creates a {@link Metric}.
*
* @param metricDescriptor the {@link MetricDescriptor}.
* @param timeSeriesList the {@link TimeSeries} list for this metric.
* @return a {@code Metric}.
* @since 0.17
*/
public static Metric create(MetricDescriptor metricDescriptor, List<TimeSeries> timeSeriesList) {
checkTypeMatch(metricDescriptor.getType(), timeSeriesList);
return new AutoValue_Metric(metricDescriptor, timeSeriesList);
}
/**
* Returns the {@link MetricDescriptor} of this metric.
*
* @return the {@code MetricDescriptor} of this metric.
* @since 0.17
*/
public abstract MetricDescriptor getMetricDescriptor();
/**
* Returns the {@link TimeSeries} list for this metric.
*
* <p>The type of the {@link TimeSeries#getPoints()} must match {@link MetricDescriptor.Type}.
*
* @return the {@code TimeSeriesList} for this metric.
* @since 0.17
*/
public abstract List<TimeSeries> getTimeSeriesList();
private static void checkTypeMatch(MetricDescriptor.Type type, List<TimeSeries> timeSeriesList) {
for (TimeSeries timeSeries : timeSeriesList) {
for (Point point : timeSeries.getPoints()) {
Value value = point.getValue();
String valueClassName = "";
if (value.getClass().getSuperclass() != null) { // work around nullness check
// AutoValue classes should always have a super class.
valueClassName = value.getClass().getSuperclass().getSimpleName();
}
switch (type) {
case GAUGE_INT64:
case CUMULATIVE_INT64:
Utils.checkArgument(
value instanceof ValueLong, "Type mismatch: %s, %s.", type, valueClassName);
break;
case CUMULATIVE_DOUBLE:
case GAUGE_DOUBLE:
Utils.checkArgument(
value instanceof ValueDouble, "Type mismatch: %s, %s.", type, valueClassName);
break;
case GAUGE_DISTRIBUTION:
case CUMULATIVE_DISTRIBUTION:
Utils.checkArgument(
value instanceof ValueDistribution, "Type mismatch: %s, %s.", type, valueClassName);
break;
case SUMMARY:
Utils.checkArgument(
value instanceof ValueSummary, "Type mismatch: %s, %s.", type, valueClassName);
}
}
}
}
}