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/*
* 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.implcore.stats;
import com.google.common.annotations.VisibleForTesting;
import io.opencensus.common.Function;
import io.opencensus.common.Functions;
import io.opencensus.metrics.LabelKey;
import io.opencensus.metrics.LabelValue;
import io.opencensus.metrics.export.MetricDescriptor;
import io.opencensus.metrics.export.MetricDescriptor.Type;
import io.opencensus.stats.Aggregation;
import io.opencensus.stats.Measure;
import io.opencensus.stats.View;
import io.opencensus.tags.TagKey;
import io.opencensus.tags.TagValue;
import java.util.ArrayList;
import java.util.List;
/*>>>
import org.checkerframework.checker.nullness.qual.Nullable;
*/
@SuppressWarnings("deprecation")
// Utils to convert Stats data models to Metric data models.
final class MetricUtils {
@javax.annotation.Nullable
static MetricDescriptor viewToMetricDescriptor(View view) {
if (view.getWindow() instanceof View.AggregationWindow.Interval) {
// Only creates Metric for cumulative stats.
return null;
}
List<LabelKey> labelKeys = new ArrayList<LabelKey>();
for (TagKey tagKey : view.getColumns()) {
// TODO: add description
labelKeys.add(LabelKey.create(tagKey.getName(), ""));
}
Measure measure = view.getMeasure();
return MetricDescriptor.create(
view.getName().asString(),
view.getDescription(),
measure.getUnit(),
getType(measure, view.getAggregation()),
labelKeys);
}
@VisibleForTesting
static Type getType(Measure measure, Aggregation aggregation) {
return aggregation.match(
Functions.returnConstant(
measure.match(
TYPE_CUMULATIVE_DOUBLE_FUNCTION, // Sum Double
TYPE_CUMULATIVE_INT64_FUNCTION, // Sum Int64
TYPE_UNRECOGNIZED_FUNCTION)),
TYPE_CUMULATIVE_INT64_FUNCTION, // Count
TYPE_CUMULATIVE_DISTRIBUTION_FUNCTION, // Distribution
Functions.returnConstant(
measure.match(
TYPE_GAUGE_DOUBLE_FUNCTION, // LastValue Double
TYPE_GAUGE_INT64_FUNCTION, // LastValue Long
TYPE_UNRECOGNIZED_FUNCTION)),
AGGREGATION_TYPE_DEFAULT_FUNCTION);
}
static List<LabelValue> tagValuesToLabelValues(List</*@Nullable*/ TagValue> tagValues) {
List<LabelValue> labelValues = new ArrayList<LabelValue>();
for (/*@Nullable*/ TagValue tagValue : tagValues) {
labelValues.add(LabelValue.create(tagValue == null ? null : tagValue.asString()));
}
return labelValues;
}
private static final Function<Object, Type> TYPE_CUMULATIVE_DOUBLE_FUNCTION =
Functions.returnConstant(Type.CUMULATIVE_DOUBLE);
private static final Function<Object, Type> TYPE_CUMULATIVE_INT64_FUNCTION =
Functions.returnConstant(Type.CUMULATIVE_INT64);
private static final Function<Object, Type> TYPE_CUMULATIVE_DISTRIBUTION_FUNCTION =
Functions.returnConstant(Type.CUMULATIVE_DISTRIBUTION);
private static final Function<Object, Type> TYPE_GAUGE_DOUBLE_FUNCTION =
Functions.returnConstant(Type.GAUGE_DOUBLE);
private static final Function<Object, Type> TYPE_GAUGE_INT64_FUNCTION =
Functions.returnConstant(Type.GAUGE_INT64);
private static final Function<Object, Type> TYPE_UNRECOGNIZED_FUNCTION =
Functions.<Type>throwAssertionError();
private static final Function<Aggregation, Type> AGGREGATION_TYPE_DEFAULT_FUNCTION =
new Function<Aggregation, Type>() {
@Override
public Type apply(Aggregation arg) {
if (arg instanceof Aggregation.Mean) {
return Type.CUMULATIVE_DOUBLE; // Mean
}
throw new AssertionError();
}
};
private MetricUtils() {}
}
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