blob: acaa4cd0e0148120374755c02e1257bcd046424a [file] [log] [blame]
/*
* Copyright (c) 2022 The WebRTC project authors. All Rights Reserved.
*
* Use of this source code is governed by a BSD-style license
* that can be found in the LICENSE file in the root of the source
* tree. An additional intellectual property rights grant can be found
* in the file PATENTS. All contributing project authors may
* be found in the AUTHORS file in the root of the source tree.
*/
#include "api/test/metrics/chrome_perf_dashboard_metrics_exporter.h"
#include <fstream>
#include <map>
#include <vector>
#include "api/test/metrics/metric.h"
#include "api/units/timestamp.h"
#include "test/gmock.h"
#include "test/gtest.h"
#include "test/testsupport/file_utils.h"
#include "third_party/catapult/tracing/tracing/value/histogram.h"
namespace webrtc {
namespace test {
namespace {
using ::testing::DoubleNear;
using ::testing::Eq;
using ::testing::Test;
namespace proto = ::catapult::tracing::tracing::proto;
std::map<std::string, std::string> DefaultMetadata() {
return std::map<std::string, std::string>{{"key", "value"}};
}
Metric::TimeSeries::Sample Sample(double value) {
return Metric::TimeSeries::Sample{.timestamp = Timestamp::Seconds(1),
.value = value,
.sample_metadata = DefaultMetadata()};
}
std::string ReadFileAsString(const std::string& filename) {
std::ifstream infile(filename, std::ios_base::binary);
auto buffer = std::vector<char>(std::istreambuf_iterator<char>(infile),
std::istreambuf_iterator<char>());
return std::string(buffer.begin(), buffer.end());
}
class ChromePerfDashboardMetricsExporterTest : public Test {
protected:
~ChromePerfDashboardMetricsExporterTest() override = default;
void SetUp() override {
temp_filename_ = webrtc::test::TempFilename(
webrtc::test::OutputPath(),
"chrome_perf_dashboard_metrics_exporter_test");
}
void TearDown() override {
ASSERT_TRUE(webrtc::test::RemoveFile(temp_filename_));
}
std::string temp_filename_;
};
TEST_F(ChromePerfDashboardMetricsExporterTest, ExportMetricFormatCorrect) {
Metric metric1{
.name = "test_metric1",
.unit = Unit::kTimeMs,
.improvement_direction = ImprovementDirection::kBiggerIsBetter,
.test_case = "test_case_name1",
.metric_metadata = DefaultMetadata(),
.time_series =
Metric::TimeSeries{.samples = std::vector{Sample(10), Sample(20)}},
.stats =
Metric::Stats{.mean = 15.0, .stddev = 5.0, .min = 10.0, .max = 20.0}};
Metric metric2{
.name = "test_metric2",
.unit = Unit::kKilobitsPerSecond,
.improvement_direction = ImprovementDirection::kSmallerIsBetter,
.test_case = "test_case_name2",
.metric_metadata = DefaultMetadata(),
.time_series =
Metric::TimeSeries{.samples = std::vector{Sample(20), Sample(40)}},
.stats = Metric::Stats{
.mean = 30.0, .stddev = 10.0, .min = 20.0, .max = 40.0}};
ChromePerfDashboardMetricsExporter exporter(temp_filename_);
ASSERT_TRUE(exporter.Export(std::vector<Metric>{metric1, metric2}));
proto::HistogramSet actual_histogram_set;
actual_histogram_set.ParseFromString(ReadFileAsString(temp_filename_));
EXPECT_THAT(actual_histogram_set.histograms().size(), Eq(2));
// Validate output for `metric1`
EXPECT_THAT(actual_histogram_set.histograms(0).name(), Eq("test_metric1"));
EXPECT_THAT(actual_histogram_set.histograms(0).unit().unit(),
Eq(proto::Unit::MS_BEST_FIT_FORMAT));
EXPECT_THAT(actual_histogram_set.histograms(0).unit().improvement_direction(),
Eq(proto::ImprovementDirection::BIGGER_IS_BETTER));
EXPECT_THAT(
actual_histogram_set.histograms(0).diagnostics().diagnostic_map().size(),
Eq(1lu));
EXPECT_THAT(actual_histogram_set.histograms(0)
.diagnostics()
.diagnostic_map()
.at("stories")
.generic_set()
.values(0),
Eq("\"test_case_name1\""));
EXPECT_THAT(actual_histogram_set.histograms(0).sample_values().size(), Eq(2));
EXPECT_THAT(actual_histogram_set.histograms(0).sample_values(0), Eq(10.0));
EXPECT_THAT(actual_histogram_set.histograms(0).sample_values(1), Eq(20.0));
EXPECT_THAT(actual_histogram_set.histograms(0).running().count(), Eq(2));
EXPECT_THAT(actual_histogram_set.histograms(0).running().max(), Eq(20));
EXPECT_THAT(actual_histogram_set.histograms(0).running().meanlogs(),
DoubleNear(2.64916, 0.1));
EXPECT_THAT(actual_histogram_set.histograms(0).running().mean(), Eq(15));
EXPECT_THAT(actual_histogram_set.histograms(0).running().min(), Eq(10));
EXPECT_THAT(actual_histogram_set.histograms(0).running().sum(), Eq(30));
EXPECT_THAT(actual_histogram_set.histograms(0).running().variance(), Eq(50));
// Validate output for `metric2`
EXPECT_THAT(actual_histogram_set.histograms(1).name(), Eq("test_metric2"));
EXPECT_THAT(actual_histogram_set.histograms(1).unit().unit(),
Eq(proto::Unit::BYTES_PER_SECOND));
EXPECT_THAT(actual_histogram_set.histograms(1).unit().improvement_direction(),
Eq(proto::ImprovementDirection::SMALLER_IS_BETTER));
EXPECT_THAT(
actual_histogram_set.histograms(1).diagnostics().diagnostic_map().size(),
Eq(1lu));
EXPECT_THAT(actual_histogram_set.histograms(1)
.diagnostics()
.diagnostic_map()
.at("stories")
.generic_set()
.values(0),
Eq("\"test_case_name2\""));
EXPECT_THAT(actual_histogram_set.histograms(1).sample_values().size(), Eq(2));
EXPECT_THAT(actual_histogram_set.histograms(1).sample_values(0), Eq(2500.0));
EXPECT_THAT(actual_histogram_set.histograms(1).sample_values(1), Eq(5000.0));
EXPECT_THAT(actual_histogram_set.histograms(1).running().count(), Eq(2));
EXPECT_THAT(actual_histogram_set.histograms(1).running().max(), Eq(5000));
EXPECT_THAT(actual_histogram_set.histograms(1).running().meanlogs(),
DoubleNear(8.17062, 0.1));
EXPECT_THAT(actual_histogram_set.histograms(1).running().mean(), Eq(3750));
EXPECT_THAT(actual_histogram_set.histograms(1).running().min(), Eq(2500));
EXPECT_THAT(actual_histogram_set.histograms(1).running().sum(), Eq(7500));
EXPECT_THAT(actual_histogram_set.histograms(1).running().variance(),
Eq(3125000));
}
TEST_F(ChromePerfDashboardMetricsExporterTest,
ExportEmptyMetricExportsZeroValue) {
Metric metric{.name = "test_metric",
.unit = Unit::kTimeMs,
.improvement_direction = ImprovementDirection::kBiggerIsBetter,
.test_case = "test_case_name",
.metric_metadata = DefaultMetadata(),
.time_series = Metric::TimeSeries{.samples = {}},
.stats = Metric::Stats{}};
ChromePerfDashboardMetricsExporter exporter(temp_filename_);
ASSERT_TRUE(exporter.Export(std::vector<Metric>{metric}));
proto::HistogramSet actual_histogram_set;
actual_histogram_set.ParseFromString(ReadFileAsString(temp_filename_));
EXPECT_THAT(actual_histogram_set.histograms().size(), Eq(1));
// Validate values for `metric`
EXPECT_THAT(actual_histogram_set.histograms(0).sample_values().size(), Eq(1));
EXPECT_THAT(actual_histogram_set.histograms(0).sample_values(0), Eq(0.0));
EXPECT_THAT(actual_histogram_set.histograms(0).running().count(), Eq(1));
EXPECT_THAT(actual_histogram_set.histograms(0).running().max(),
DoubleNear(0, 1e-6));
EXPECT_THAT(actual_histogram_set.histograms(0).running().meanlogs(), Eq(0));
EXPECT_THAT(actual_histogram_set.histograms(0).running().mean(), Eq(0));
EXPECT_THAT(actual_histogram_set.histograms(0).running().min(), Eq(0));
EXPECT_THAT(actual_histogram_set.histograms(0).running().sum(), Eq(0));
EXPECT_THAT(actual_histogram_set.histograms(0).running().variance(), Eq(0));
}
TEST_F(ChromePerfDashboardMetricsExporterTest,
ExportMetricWithOnlyStatsExportsMeanValues) {
Metric metric{.name = "test_metric",
.unit = Unit::kTimeMs,
.improvement_direction = ImprovementDirection::kBiggerIsBetter,
.test_case = "test_case_name",
.metric_metadata = DefaultMetadata(),
.time_series = Metric::TimeSeries{.samples = {}},
.stats = Metric::Stats{
.mean = 15.0, .stddev = 5.0, .min = 10.0, .max = 20.0}};
ChromePerfDashboardMetricsExporter exporter(temp_filename_);
ASSERT_TRUE(exporter.Export(std::vector<Metric>{metric}));
proto::HistogramSet actual_histogram_set;
actual_histogram_set.ParseFromString(ReadFileAsString(temp_filename_));
EXPECT_THAT(actual_histogram_set.histograms().size(), Eq(1));
// Validate values for `metric`
EXPECT_THAT(actual_histogram_set.histograms(0).sample_values().size(), Eq(1));
EXPECT_THAT(actual_histogram_set.histograms(0).sample_values(0), Eq(15.0));
EXPECT_THAT(actual_histogram_set.histograms(0).running().count(), Eq(1));
EXPECT_THAT(actual_histogram_set.histograms(0).running().max(), Eq(15));
EXPECT_THAT(actual_histogram_set.histograms(0).running().meanlogs(),
DoubleNear(2.70805, 0.1));
EXPECT_THAT(actual_histogram_set.histograms(0).running().mean(), Eq(15));
EXPECT_THAT(actual_histogram_set.histograms(0).running().min(), Eq(15));
EXPECT_THAT(actual_histogram_set.histograms(0).running().sum(), Eq(15));
EXPECT_THAT(actual_histogram_set.histograms(0).running().variance(), Eq(0));
}
} // namespace
} // namespace test
} // namespace webrtc