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// Copyright The OpenTelemetry Authors
// SPDX-License-Identifier: Apache-2.0
#include <gtest/gtest.h>
#include <stdint.h>
#include <string>
#include <vector>
#include "opentelemetry/nostd/shared_ptr.h"
#include "opentelemetry/nostd/variant.h"
#include "opentelemetry/sdk/metrics/aggregation/aggregation.h"
#include "opentelemetry/sdk/metrics/aggregation/aggregation_config.h"
#include "opentelemetry/sdk/metrics/aggregation/histogram_aggregation.h"
#include "opentelemetry/sdk/metrics/aggregation/lastvalue_aggregation.h"
#include "opentelemetry/sdk/metrics/aggregation/sum_aggregation.h"
#include "opentelemetry/sdk/metrics/data/point_data.h"
using namespace opentelemetry::sdk::metrics;
namespace nostd = opentelemetry::nostd;
TEST(Aggregation, LongSumAggregation)
{
LongSumAggregation aggr(true);
auto data = aggr.ToPoint();
ASSERT_TRUE(nostd::holds_alternative<SumPointData>(data));
auto sum_data = nostd::get<SumPointData>(data);
ASSERT_TRUE(nostd::holds_alternative<int64_t>(sum_data.value_));
EXPECT_EQ(nostd::get<int64_t>(sum_data.value_), 0);
aggr.Aggregate(static_cast<int64_t>(12), {});
aggr.Aggregate(static_cast<int64_t>(0), {});
sum_data = nostd::get<SumPointData>(aggr.ToPoint());
EXPECT_EQ(nostd::get<int64_t>(sum_data.value_), 12);
}
TEST(Aggregation, DoubleSumAggregation)
{
DoubleSumAggregation aggr(true);
auto data = aggr.ToPoint();
ASSERT_TRUE(nostd::holds_alternative<SumPointData>(data));
auto sum_data = nostd::get<SumPointData>(data);
ASSERT_TRUE(nostd::holds_alternative<double>(sum_data.value_));
EXPECT_EQ(nostd::get<double>(sum_data.value_), 0);
aggr.Aggregate(12.0, {});
aggr.Aggregate(1.0, {});
sum_data = nostd::get<SumPointData>(aggr.ToPoint());
EXPECT_EQ(nostd::get<double>(sum_data.value_), 13.0);
}
TEST(Aggregation, LongLastValueAggregation)
{
LongLastValueAggregation aggr;
auto data = aggr.ToPoint();
ASSERT_TRUE(nostd::holds_alternative<LastValuePointData>(data));
auto lastvalue_data = nostd::get<LastValuePointData>(data);
ASSERT_TRUE(nostd::holds_alternative<int64_t>(lastvalue_data.value_));
EXPECT_EQ(lastvalue_data.is_lastvalue_valid_, false);
aggr.Aggregate(static_cast<int64_t>(12), {});
aggr.Aggregate(static_cast<int64_t>(1), {});
lastvalue_data = nostd::get<LastValuePointData>(aggr.ToPoint());
EXPECT_EQ(nostd::get<int64_t>(lastvalue_data.value_), 1.0);
}
TEST(Aggregation, DoubleLastValueAggregation)
{
DoubleLastValueAggregation aggr;
auto data = aggr.ToPoint();
ASSERT_TRUE(nostd::holds_alternative<LastValuePointData>(data));
auto lastvalue_data = nostd::get<LastValuePointData>(data);
ASSERT_TRUE(nostd::holds_alternative<double>(lastvalue_data.value_));
EXPECT_EQ(lastvalue_data.is_lastvalue_valid_, false);
aggr.Aggregate(12.0, {});
aggr.Aggregate(1.0, {});
lastvalue_data = nostd::get<LastValuePointData>(aggr.ToPoint());
EXPECT_EQ(nostd::get<double>(lastvalue_data.value_), 1.0);
}
TEST(Aggregation, LongHistogramAggregation)
{
LongHistogramAggregation aggr;
auto data = aggr.ToPoint();
ASSERT_TRUE(nostd::holds_alternative<HistogramPointData>(data));
auto histogram_data = nostd::get<HistogramPointData>(data);
ASSERT_TRUE(nostd::holds_alternative<int64_t>(histogram_data.sum_));
EXPECT_EQ(nostd::get<int64_t>(histogram_data.sum_), 0);
EXPECT_EQ(histogram_data.count_, 0);
aggr.Aggregate(static_cast<int64_t>(12), {}); // lies in third bucket
aggr.Aggregate(static_cast<int64_t>(100), {}); // lies in sixth bucket
histogram_data = nostd::get<HistogramPointData>(aggr.ToPoint());
EXPECT_EQ(nostd::get<int64_t>(histogram_data.min_), 12);
EXPECT_EQ(nostd::get<int64_t>(histogram_data.max_), 100);
EXPECT_EQ(nostd::get<int64_t>(histogram_data.sum_), 112);
EXPECT_EQ(histogram_data.count_, 2);
EXPECT_EQ(histogram_data.counts_[3], 1);
EXPECT_EQ(histogram_data.counts_[6], 1);
aggr.Aggregate(static_cast<int64_t>(13), {}); // lies in third bucket
aggr.Aggregate(static_cast<int64_t>(252), {}); // lies in eight bucket
histogram_data = nostd::get<HistogramPointData>(aggr.ToPoint());
EXPECT_EQ(histogram_data.count_, 4);
EXPECT_EQ(histogram_data.counts_[3], 2);
EXPECT_EQ(histogram_data.counts_[8], 1);
EXPECT_EQ(nostd::get<int64_t>(histogram_data.min_), 12);
EXPECT_EQ(nostd::get<int64_t>(histogram_data.max_), 252);
// Merge
LongHistogramAggregation aggr1;
aggr1.Aggregate(static_cast<int64_t>(1), {});
aggr1.Aggregate(static_cast<int64_t>(11), {});
aggr1.Aggregate(static_cast<int64_t>(26), {});
LongHistogramAggregation aggr2;
aggr2.Aggregate(static_cast<int64_t>(2), {});
aggr2.Aggregate(static_cast<int64_t>(3), {});
aggr2.Aggregate(static_cast<int64_t>(13), {});
aggr2.Aggregate(static_cast<int64_t>(28), {});
aggr2.Aggregate(static_cast<int64_t>(105), {});
auto aggr3 = aggr1.Merge(aggr2);
histogram_data = nostd::get<HistogramPointData>(aggr3->ToPoint());
EXPECT_EQ(histogram_data.count_, 8); // 3 each from aggr1 and aggr2
EXPECT_EQ(histogram_data.counts_[1], 3); // 1, 2, 3
EXPECT_EQ(histogram_data.counts_[3], 2); // 11, 13
EXPECT_EQ(histogram_data.counts_[4], 2); // 25, 28
EXPECT_EQ(histogram_data.counts_[7], 1); // 105
EXPECT_EQ(nostd::get<int64_t>(histogram_data.min_), 1);
EXPECT_EQ(nostd::get<int64_t>(histogram_data.max_), 105);
// Diff
auto aggr4 = aggr1.Diff(aggr2);
histogram_data = nostd::get<HistogramPointData>(aggr4->ToPoint());
EXPECT_EQ(histogram_data.count_, 2); // aggr2:5 - aggr1:3
EXPECT_EQ(histogram_data.counts_[1], 1); // aggr2(2, 3) - aggr1(1)
EXPECT_EQ(histogram_data.counts_[3], 0); // aggr2(13) - aggr1(11)
EXPECT_EQ(histogram_data.counts_[4], 0); // aggr2(28) - aggr1(25)
EXPECT_EQ(histogram_data.counts_[7], 1); // aggr2(105) - aggr1(0)
}
TEST(Aggregation, LongHistogramAggregationBoundaries)
{
std::shared_ptr<opentelemetry::sdk::metrics::HistogramAggregationConfig> aggregation_config{
new opentelemetry::sdk::metrics::HistogramAggregationConfig};
std::vector<double> user_boundaries = {0.0, 50.0, 100.0, 250.0, 500.0,
750.0, 1000.0, 2500.0, 5000.0, 10000.0};
aggregation_config->boundaries_ = user_boundaries;
LongHistogramAggregation aggr{aggregation_config.get()};
auto data = aggr.ToPoint();
ASSERT_TRUE(nostd::holds_alternative<HistogramPointData>(data));
auto histogram_data = nostd::get<HistogramPointData>(data);
EXPECT_EQ(histogram_data.boundaries_, user_boundaries);
}
TEST(Aggregation, DoubleHistogramAggregationBoundaries)
{
std::shared_ptr<opentelemetry::sdk::metrics::HistogramAggregationConfig> aggregation_config{
new opentelemetry::sdk::metrics::HistogramAggregationConfig};
std::vector<double> user_boundaries = {0.0, 50.0, 100.0, 250.0, 500.0,
750.0, 1000.0, 2500.0, 5000.0, 10000.0};
aggregation_config->boundaries_ = user_boundaries;
DoubleHistogramAggregation aggr{aggregation_config.get()};
auto data = aggr.ToPoint();
ASSERT_TRUE(nostd::holds_alternative<HistogramPointData>(data));
auto histogram_data = nostd::get<HistogramPointData>(data);
EXPECT_EQ(histogram_data.boundaries_, user_boundaries);
}
TEST(Aggregation, DoubleHistogramAggregation)
{
DoubleHistogramAggregation aggr;
auto data = aggr.ToPoint();
ASSERT_TRUE(nostd::holds_alternative<HistogramPointData>(data));
auto histogram_data = nostd::get<HistogramPointData>(data);
ASSERT_TRUE(nostd::holds_alternative<double>(histogram_data.sum_));
EXPECT_EQ(nostd::get<double>(histogram_data.sum_), 0);
EXPECT_EQ(histogram_data.count_, 0);
aggr.Aggregate(12.0, {}); // lies in third bucket
aggr.Aggregate(100.0, {}); // lies in sixth bucket
histogram_data = nostd::get<HistogramPointData>(aggr.ToPoint());
EXPECT_EQ(nostd::get<double>(histogram_data.sum_), 112);
EXPECT_EQ(histogram_data.count_, 2);
EXPECT_EQ(histogram_data.counts_[3], 1);
EXPECT_EQ(histogram_data.counts_[6], 1);
EXPECT_EQ(nostd::get<double>(histogram_data.min_), 12);
EXPECT_EQ(nostd::get<double>(histogram_data.max_), 100);
aggr.Aggregate(13.0, {}); // lies in third bucket
aggr.Aggregate(252.0, {}); // lies in eight bucket
histogram_data = nostd::get<HistogramPointData>(aggr.ToPoint());
EXPECT_EQ(histogram_data.count_, 4);
EXPECT_EQ(histogram_data.counts_[3], 2);
EXPECT_EQ(histogram_data.counts_[8], 1);
EXPECT_EQ(nostd::get<double>(histogram_data.sum_), 377);
EXPECT_EQ(nostd::get<double>(histogram_data.min_), 12);
EXPECT_EQ(nostd::get<double>(histogram_data.max_), 252);
// Merge
DoubleHistogramAggregation aggr1;
aggr1.Aggregate(1.0, {});
aggr1.Aggregate(11.0, {});
aggr1.Aggregate(25.1, {});
DoubleHistogramAggregation aggr2;
aggr2.Aggregate(2.0, {});
aggr2.Aggregate(3.0, {});
aggr2.Aggregate(13.0, {});
aggr2.Aggregate(28.1, {});
aggr2.Aggregate(105.0, {});
auto aggr3 = aggr1.Merge(aggr2);
histogram_data = nostd::get<HistogramPointData>(aggr3->ToPoint());
EXPECT_EQ(histogram_data.count_, 8); // 3 each from aggr1 and aggr2
EXPECT_EQ(histogram_data.counts_[1], 3); // 1.0, 2.0, 3.0
EXPECT_EQ(histogram_data.counts_[3], 2); // 11.0, 13.0
EXPECT_EQ(histogram_data.counts_[4], 2); // 25.1, 28.1
EXPECT_EQ(histogram_data.counts_[7], 1); // 105.0
EXPECT_EQ(nostd::get<double>(histogram_data.min_), 1);
EXPECT_EQ(nostd::get<double>(histogram_data.max_), 105);
// Diff
auto aggr4 = aggr1.Diff(aggr2);
histogram_data = nostd::get<HistogramPointData>(aggr4->ToPoint());
EXPECT_EQ(histogram_data.count_, 2); // aggr2:5 - aggr1:3
EXPECT_EQ(histogram_data.counts_[1], 1); // aggr2(2.0, 3.0) - aggr1(1.0)
EXPECT_EQ(histogram_data.counts_[3], 0); // aggr2(13.0) - aggr1(11.0)
EXPECT_EQ(histogram_data.counts_[4], 0); // aggr2(28.1) - aggr1(25.1)
EXPECT_EQ(histogram_data.counts_[7], 1); // aggr2(105.0) - aggr1(0)
}
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