Introduce MetricsAccumulator

Bug: b/246095034
Change-Id: Ic267254245399238d3eece421e4e4e72134dd0e9
Reviewed-on: https://webrtc-review.googlesource.com/c/src/+/276740
Reviewed-by: Mirko Bonadei <mbonadei@webrtc.org>
Commit-Queue: Artem Titov <titovartem@webrtc.org>
Cr-Commit-Position: refs/heads/main@{#38203}
This commit is contained in:
Artem Titov
2022-09-26 13:37:52 +02:00
committed by WebRTC LUCI CQ
parent 14b42c20b0
commit f01ceb6f93
10 changed files with 684 additions and 18 deletions

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@ -15,6 +15,7 @@ group("metrics") {
deps = [
":global_metrics_logger_and_exporter",
":metric",
":metrics_accumulator",
":metrics_exporter",
":metrics_logger",
":metrics_logger_and_exporter",
@ -28,6 +29,7 @@ if (rtc_include_tests) {
deps = [
":global_metrics_logger_and_exporter_test",
":metrics_accumulator_test",
":metrics_logger_and_exporter_test",
":metrics_logger_test",
":print_result_proxy_metrics_exporter_test",
@ -61,6 +63,7 @@ rtc_library("metrics_logger") {
]
deps = [
":metric",
":metrics_accumulator",
"../..:array_view",
"../../../rtc_base/synchronization:mutex",
"../../../system_wrappers",
@ -69,6 +72,22 @@ rtc_library("metrics_logger") {
absl_deps = [ "//third_party/abseil-cpp/absl/strings" ]
}
rtc_library("metrics_accumulator") {
visibility = [ "*" ]
sources = [
"metrics_accumulator.cc",
"metrics_accumulator.h",
]
deps = [
":metric",
"../../../rtc_base:macromagic",
"../../../rtc_base/synchronization:mutex",
"../../numerics",
"../../units:timestamp",
]
absl_deps = [ "//third_party/abseil-cpp/absl/strings" ]
}
rtc_library("metrics_exporter") {
visibility = [ "*" ]
sources = [ "metrics_exporter.h" ]
@ -209,6 +228,18 @@ if (rtc_include_tests) {
absl_deps = [ "//third_party/abseil-cpp/absl/types:optional" ]
}
rtc_library("metrics_accumulator_test") {
testonly = true
sources = [ "metrics_accumulator_test.cc" ]
deps = [
":metric",
":metrics_accumulator",
"../../../test:test_support",
"../../units:timestamp",
]
absl_deps = [ "//third_party/abseil-cpp/absl/types:optional" ]
}
rtc_library("stdout_metrics_exporter_test") {
testonly = true
sources = [ "stdout_metrics_exporter_test.cc" ]

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@ -7,4 +7,8 @@ specific_include_rules = {
"+rtc_base/synchronization/mutex.h",
"+system_wrappers/include/clock.h",
],
"metrics_accumulator\.h": [
"+rtc_base/synchronization/mutex.h",
"+rtc_base/thread_annotations.h",
],
}

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@ -22,8 +22,8 @@
namespace webrtc {
namespace test {
MetricsLogger* GetGlobalMetricsLogger() {
static MetricsLogger* logger_ =
DefaultMetricsLogger* GetGlobalMetricsLogger() {
static DefaultMetricsLogger* logger_ =
new DefaultMetricsLogger(Clock::GetRealTimeClock());
return logger_;
}

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@ -21,7 +21,7 @@ namespace webrtc {
namespace test {
// Returns non-null global `MetricsLogger` to log metrics.
MetricsLogger* GetGlobalMetricsLogger();
DefaultMetricsLogger* GetGlobalMetricsLogger();
bool ExportPerfMetric(MetricsLogger& logger,
std::vector<std::unique_ptr<MetricsExporter>> exporters);

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@ -0,0 +1,132 @@
/*
* 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/metrics_accumulator.h"
#include <map>
#include <string>
#include <utility>
#include <vector>
#include "absl/strings/string_view.h"
#include "api/numerics/samples_stats_counter.h"
#include "api/test/metrics/metric.h"
#include "api/units/timestamp.h"
#include "rtc_base/synchronization/mutex.h"
namespace webrtc {
namespace test {
namespace {
Metric::Stats ToStats(const SamplesStatsCounter& values) {
if (values.IsEmpty()) {
return Metric::Stats();
}
return Metric::Stats{.mean = values.GetAverage(),
.stddev = values.GetStandardDeviation(),
.min = values.GetMin(),
.max = values.GetMax()};
}
Metric SetTimeseries(const Metric& prototype,
const SamplesStatsCounter& counter) {
Metric output(prototype);
Metric::TimeSeries time_series;
for (const SamplesStatsCounter::StatsSample& sample :
counter.GetTimedSamples()) {
time_series.samples.push_back(
Metric::TimeSeries::Sample{.timestamp = sample.time,
.value = sample.value,
.sample_metadata = sample.metadata});
}
output.time_series = std::move(time_series);
output.stats = ToStats(counter);
return output;
}
} // namespace
bool operator<(const MetricsAccumulator::MetricKey& a,
const MetricsAccumulator::MetricKey& b) {
if (a.test_case_name < b.test_case_name) {
return true;
} else if (a.test_case_name > b.test_case_name) {
return false;
} else {
return a.metric_name < b.metric_name;
}
}
bool MetricsAccumulator::AddSample(
absl::string_view metric_name,
absl::string_view test_case_name,
double value,
Timestamp timestamp,
std::map<std::string, std::string> point_metadata) {
MutexLock lock(&mutex_);
bool created;
MetricValue* metric_value =
GetOrCreateMetric(metric_name, test_case_name, &created);
metric_value->counter.AddSample(
SamplesStatsCounter::StatsSample{.value = value,
.time = timestamp,
.metadata = std::move(point_metadata)});
return created;
}
bool MetricsAccumulator::AddMetricMetadata(
absl::string_view metric_name,
absl::string_view test_case_name,
Unit unit,
ImprovementDirection improvement_direction,
std::map<std::string, std::string> metric_metadata) {
MutexLock lock(&mutex_);
bool created;
MetricValue* metric_value =
GetOrCreateMetric(metric_name, test_case_name, &created);
metric_value->metric.unit = unit;
metric_value->metric.improvement_direction = improvement_direction;
metric_value->metric.metric_metadata = std::move(metric_metadata);
return created;
}
std::vector<Metric> MetricsAccumulator::GetCollectedMetrics() const {
MutexLock lock(&mutex_);
std::vector<Metric> out;
out.reserve(metrics_.size());
for (const auto& [unused_key, metric_value] : metrics_) {
out.push_back(SetTimeseries(metric_value.metric, metric_value.counter));
}
return out;
}
MetricsAccumulator::MetricValue* MetricsAccumulator::GetOrCreateMetric(
absl::string_view metric_name,
absl::string_view test_case_name,
bool* created) {
MetricKey key(metric_name, test_case_name);
auto it = metrics_.find(key);
if (it != metrics_.end()) {
*created = false;
return &it->second;
}
*created = true;
Metric metric{
.name = key.metric_name,
.unit = Unit::kUnitless,
.improvement_direction = ImprovementDirection::kNeitherIsBetter,
.test_case = key.test_case_name,
};
return &metrics_.emplace(key, MetricValue{.metric = std::move(metric)})
.first->second;
}
} // namespace test
} // namespace webrtc

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@ -0,0 +1,99 @@
/*
* 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.
*/
#ifndef API_TEST_METRICS_METRICS_ACCUMULATOR_H_
#define API_TEST_METRICS_METRICS_ACCUMULATOR_H_
#include <map>
#include <string>
#include <vector>
#include "absl/strings/string_view.h"
#include "api/numerics/samples_stats_counter.h"
#include "api/test/metrics/metric.h"
#include "api/units/timestamp.h"
#include "rtc_base/synchronization/mutex.h"
#include "rtc_base/thread_annotations.h"
namespace webrtc {
namespace test {
// Accumulates metrics' samples internally and provides API to get collected
// ones.
//
// This object is thread safe.
class MetricsAccumulator {
public:
MetricsAccumulator() = default;
// Adds sample for the specified `metric_name` within specified
// `test_case_name`. If it is the first time when this combination of
// `metric_name` and `test_case_name` is used, creates a new Metric to collect
// samples, otherwise adds a sample to the previously created Metric.
//
// By default metric will use `Unit::kUnitless` and
// `ImprovementDirection::kNeitherIsBetter`.
//
// `point_metadata` - the metadata to be added to the single data point that
// this method adds to the Metric (it is not a metric global metadata).
//
// Returns true if a new metric was created and false otherwise.
bool AddSample(absl::string_view metric_name,
absl::string_view test_case_name,
double value,
Timestamp timestamp,
std::map<std::string, std::string> point_metadata = {});
// Adds metadata to the metric specified by `metric_name` within specified
// `test_case_name`. If such a metric doesn't exist, creates a new one,
// otherwise overrides previously recorded values.
//
// Returns true if a new metric was created and false otherwise.
bool AddMetricMetadata(
absl::string_view metric_name,
absl::string_view test_case_name,
Unit unit,
ImprovementDirection improvement_direction,
std::map<std::string, std::string> metric_metadata = {});
// Returns all metrics collected by this accumulator. No order guarantees
// provided.
std::vector<Metric> GetCollectedMetrics() const;
private:
struct MetricKey {
MetricKey(absl::string_view metric_name, absl::string_view test_case_name)
: metric_name(metric_name), test_case_name(test_case_name) {}
std::string metric_name;
std::string test_case_name;
};
friend bool operator<(const MetricKey& a, const MetricKey& b);
struct MetricValue {
SamplesStatsCounter counter;
Metric metric;
};
// Gets existing metrics or creates a new one. If metric was created `created`
// will be set to true.
MetricValue* GetOrCreateMetric(absl::string_view metric_name,
absl::string_view test_case_name,
bool* created)
RTC_EXCLUSIVE_LOCKS_REQUIRED(mutex_);
mutable Mutex mutex_;
std::map<MetricKey, MetricValue> metrics_ RTC_GUARDED_BY(mutex_);
};
} // namespace test
} // namespace webrtc
#endif // API_TEST_METRICS_METRICS_ACCUMULATOR_H_

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@ -0,0 +1,315 @@
/*
* 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/metrics_accumulator.h"
#include <map>
#include <vector>
#include "api/test/metrics/metric.h"
#include "api/units/timestamp.h"
#include "test/gmock.h"
#include "test/gtest.h"
namespace webrtc {
namespace test {
namespace {
using ::testing::Eq;
using ::testing::IsEmpty;
using ::testing::SizeIs;
TEST(MetricsAccumulatorTest, AddSampleToTheNewMetricWillCreateOne) {
MetricsAccumulator accumulator;
ASSERT_TRUE(accumulator.AddSample(
"metric_name", "test_case_name",
/*value=*/10, Timestamp::Seconds(1),
/*point_metadata=*/std::map<std::string, std::string>{{"key", "value"}}));
std::vector<Metric> metrics = accumulator.GetCollectedMetrics();
ASSERT_THAT(metrics, SizeIs(1));
const Metric& metric = metrics[0];
EXPECT_THAT(metric.name, Eq("metric_name"));
EXPECT_THAT(metric.test_case, Eq("test_case_name"));
EXPECT_THAT(metric.unit, Eq(Unit::kUnitless));
EXPECT_THAT(metric.improvement_direction,
Eq(ImprovementDirection::kNeitherIsBetter));
EXPECT_THAT(metric.metric_metadata, IsEmpty());
ASSERT_THAT(metric.time_series.samples, SizeIs(1));
EXPECT_THAT(metric.time_series.samples[0].value, Eq(10.0));
EXPECT_THAT(metric.time_series.samples[0].timestamp,
Eq(Timestamp::Seconds(1)));
EXPECT_THAT(metric.time_series.samples[0].sample_metadata,
Eq(std::map<std::string, std::string>{{"key", "value"}}));
ASSERT_THAT(metric.stats.mean, absl::optional<double>(10.0));
ASSERT_THAT(metric.stats.stddev, absl::optional<double>(0.0));
ASSERT_THAT(metric.stats.min, absl::optional<double>(10.0));
ASSERT_THAT(metric.stats.max, absl::optional<double>(10.0));
}
TEST(MetricsAccumulatorTest, AddSamplesToExistingMetricWontCreateNewOne) {
MetricsAccumulator accumulator;
ASSERT_TRUE(accumulator.AddSample(
"metric_name", "test_case_name",
/*value=*/10, Timestamp::Seconds(1),
/*point_metadata=*/
std::map<std::string, std::string>{{"key1", "value1"}}));
ASSERT_FALSE(accumulator.AddSample(
"metric_name", "test_case_name",
/*value=*/20, Timestamp::Seconds(2),
/*point_metadata=*/
std::map<std::string, std::string>{{"key2", "value2"}}));
std::vector<Metric> metrics = accumulator.GetCollectedMetrics();
ASSERT_THAT(metrics, SizeIs(1));
const Metric& metric = metrics[0];
EXPECT_THAT(metric.name, Eq("metric_name"));
EXPECT_THAT(metric.test_case, Eq("test_case_name"));
EXPECT_THAT(metric.unit, Eq(Unit::kUnitless));
EXPECT_THAT(metric.improvement_direction,
Eq(ImprovementDirection::kNeitherIsBetter));
EXPECT_THAT(metric.metric_metadata, IsEmpty());
ASSERT_THAT(metric.time_series.samples, SizeIs(2));
EXPECT_THAT(metric.time_series.samples[0].value, Eq(10.0));
EXPECT_THAT(metric.time_series.samples[0].timestamp,
Eq(Timestamp::Seconds(1)));
EXPECT_THAT(metric.time_series.samples[0].sample_metadata,
Eq(std::map<std::string, std::string>{{"key1", "value1"}}));
EXPECT_THAT(metric.time_series.samples[1].value, Eq(20.0));
EXPECT_THAT(metric.time_series.samples[1].timestamp,
Eq(Timestamp::Seconds(2)));
EXPECT_THAT(metric.time_series.samples[1].sample_metadata,
Eq(std::map<std::string, std::string>{{"key2", "value2"}}));
ASSERT_THAT(metric.stats.mean, absl::optional<double>(15.0));
ASSERT_THAT(metric.stats.stddev, absl::optional<double>(5.0));
ASSERT_THAT(metric.stats.min, absl::optional<double>(10.0));
ASSERT_THAT(metric.stats.max, absl::optional<double>(20.0));
}
TEST(MetricsAccumulatorTest, AddSampleToDifferentMetricsWillCreateBoth) {
MetricsAccumulator accumulator;
ASSERT_TRUE(accumulator.AddSample(
"metric_name1", "test_case_name1",
/*value=*/10, Timestamp::Seconds(1),
/*point_metadata=*/
std::map<std::string, std::string>{{"key1", "value1"}}));
ASSERT_TRUE(accumulator.AddSample(
"metric_name2", "test_case_name2",
/*value=*/20, Timestamp::Seconds(2),
/*point_metadata=*/
std::map<std::string, std::string>{{"key2", "value2"}}));
std::vector<Metric> metrics = accumulator.GetCollectedMetrics();
ASSERT_THAT(metrics, SizeIs(2));
EXPECT_THAT(metrics[0].name, Eq("metric_name1"));
EXPECT_THAT(metrics[0].test_case, Eq("test_case_name1"));
EXPECT_THAT(metrics[0].unit, Eq(Unit::kUnitless));
EXPECT_THAT(metrics[0].improvement_direction,
Eq(ImprovementDirection::kNeitherIsBetter));
EXPECT_THAT(metrics[0].metric_metadata, IsEmpty());
ASSERT_THAT(metrics[0].time_series.samples, SizeIs(1));
EXPECT_THAT(metrics[0].time_series.samples[0].value, Eq(10.0));
EXPECT_THAT(metrics[0].time_series.samples[0].timestamp,
Eq(Timestamp::Seconds(1)));
EXPECT_THAT(metrics[0].time_series.samples[0].sample_metadata,
Eq(std::map<std::string, std::string>{{"key1", "value1"}}));
ASSERT_THAT(metrics[0].stats.mean, absl::optional<double>(10.0));
ASSERT_THAT(metrics[0].stats.stddev, absl::optional<double>(0.0));
ASSERT_THAT(metrics[0].stats.min, absl::optional<double>(10.0));
ASSERT_THAT(metrics[0].stats.max, absl::optional<double>(10.0));
EXPECT_THAT(metrics[1].name, Eq("metric_name2"));
EXPECT_THAT(metrics[1].test_case, Eq("test_case_name2"));
EXPECT_THAT(metrics[1].unit, Eq(Unit::kUnitless));
EXPECT_THAT(metrics[1].improvement_direction,
Eq(ImprovementDirection::kNeitherIsBetter));
EXPECT_THAT(metrics[1].metric_metadata, IsEmpty());
ASSERT_THAT(metrics[1].time_series.samples, SizeIs(1));
EXPECT_THAT(metrics[1].time_series.samples[0].value, Eq(20.0));
EXPECT_THAT(metrics[1].time_series.samples[0].timestamp,
Eq(Timestamp::Seconds(2)));
EXPECT_THAT(metrics[1].time_series.samples[0].sample_metadata,
Eq(std::map<std::string, std::string>{{"key2", "value2"}}));
ASSERT_THAT(metrics[1].stats.mean, absl::optional<double>(20.0));
ASSERT_THAT(metrics[1].stats.stddev, absl::optional<double>(0.0));
ASSERT_THAT(metrics[1].stats.min, absl::optional<double>(20.0));
ASSERT_THAT(metrics[1].stats.max, absl::optional<double>(20.0));
}
TEST(MetricsAccumulatorTest, AddMetadataToTheNewMetricWillCreateOne) {
MetricsAccumulator accumulator;
ASSERT_TRUE(accumulator.AddMetricMetadata(
"metric_name", "test_case_name", Unit::kMilliseconds,
ImprovementDirection::kBiggerIsBetter,
/*metric_metadata=*/
std::map<std::string, std::string>{{"key", "value"}}));
std::vector<Metric> metrics = accumulator.GetCollectedMetrics();
ASSERT_THAT(metrics, SizeIs(1));
const Metric& metric = metrics[0];
EXPECT_THAT(metric.name, Eq("metric_name"));
EXPECT_THAT(metric.test_case, Eq("test_case_name"));
EXPECT_THAT(metric.unit, Eq(Unit::kMilliseconds));
EXPECT_THAT(metric.improvement_direction,
Eq(ImprovementDirection::kBiggerIsBetter));
EXPECT_THAT(metric.metric_metadata,
Eq(std::map<std::string, std::string>{{"key", "value"}}));
ASSERT_THAT(metric.time_series.samples, IsEmpty());
ASSERT_THAT(metric.stats.mean, absl::nullopt);
ASSERT_THAT(metric.stats.stddev, absl::nullopt);
ASSERT_THAT(metric.stats.min, absl::nullopt);
ASSERT_THAT(metric.stats.max, absl::nullopt);
}
TEST(MetricsAccumulatorTest,
AddMetadataToTheExistingMetricWillOverwriteValues) {
MetricsAccumulator accumulator;
ASSERT_TRUE(accumulator.AddMetricMetadata(
"metric_name", "test_case_name", Unit::kMilliseconds,
ImprovementDirection::kBiggerIsBetter,
/*metric_metadata=*/
std::map<std::string, std::string>{{"key1", "value1"}}));
ASSERT_FALSE(accumulator.AddMetricMetadata(
"metric_name", "test_case_name", Unit::kBytes,
ImprovementDirection::kSmallerIsBetter,
/*metric_metadata=*/
std::map<std::string, std::string>{{"key2", "value2"}}));
std::vector<Metric> metrics = accumulator.GetCollectedMetrics();
ASSERT_THAT(metrics, SizeIs(1));
const Metric& metric = metrics[0];
EXPECT_THAT(metric.name, Eq("metric_name"));
EXPECT_THAT(metric.test_case, Eq("test_case_name"));
EXPECT_THAT(metric.unit, Eq(Unit::kBytes));
EXPECT_THAT(metric.improvement_direction,
Eq(ImprovementDirection::kSmallerIsBetter));
EXPECT_THAT(metric.metric_metadata,
Eq(std::map<std::string, std::string>{{"key2", "value2"}}));
ASSERT_THAT(metric.time_series.samples, IsEmpty());
ASSERT_THAT(metric.stats.mean, absl::nullopt);
ASSERT_THAT(metric.stats.stddev, absl::nullopt);
ASSERT_THAT(metric.stats.min, absl::nullopt);
ASSERT_THAT(metric.stats.max, absl::nullopt);
}
TEST(MetricsAccumulatorTest, AddMetadataToDifferentMetricsWillCreateBoth) {
MetricsAccumulator accumulator;
ASSERT_TRUE(accumulator.AddMetricMetadata(
"metric_name1", "test_case_name1", Unit::kMilliseconds,
ImprovementDirection::kBiggerIsBetter,
/*metric_metadata=*/
std::map<std::string, std::string>{{"key1", "value1"}}));
ASSERT_TRUE(accumulator.AddMetricMetadata(
"metric_name2", "test_case_name2", Unit::kBytes,
ImprovementDirection::kSmallerIsBetter,
/*metric_metadata=*/
std::map<std::string, std::string>{{"key2", "value2"}}));
std::vector<Metric> metrics = accumulator.GetCollectedMetrics();
ASSERT_THAT(metrics, SizeIs(2));
EXPECT_THAT(metrics[0].name, Eq("metric_name1"));
EXPECT_THAT(metrics[0].test_case, Eq("test_case_name1"));
EXPECT_THAT(metrics[0].unit, Eq(Unit::kMilliseconds));
EXPECT_THAT(metrics[0].improvement_direction,
Eq(ImprovementDirection::kBiggerIsBetter));
EXPECT_THAT(metrics[0].metric_metadata,
Eq(std::map<std::string, std::string>{{"key1", "value1"}}));
ASSERT_THAT(metrics[0].time_series.samples, IsEmpty());
ASSERT_THAT(metrics[0].stats.mean, absl::nullopt);
ASSERT_THAT(metrics[0].stats.stddev, absl::nullopt);
ASSERT_THAT(metrics[0].stats.min, absl::nullopt);
ASSERT_THAT(metrics[0].stats.max, absl::nullopt);
EXPECT_THAT(metrics[1].name, Eq("metric_name2"));
EXPECT_THAT(metrics[1].test_case, Eq("test_case_name2"));
EXPECT_THAT(metrics[1].unit, Eq(Unit::kBytes));
EXPECT_THAT(metrics[1].improvement_direction,
Eq(ImprovementDirection::kSmallerIsBetter));
EXPECT_THAT(metrics[1].metric_metadata,
Eq(std::map<std::string, std::string>{{"key2", "value2"}}));
ASSERT_THAT(metrics[1].time_series.samples, IsEmpty());
ASSERT_THAT(metrics[1].stats.mean, absl::nullopt);
ASSERT_THAT(metrics[1].stats.stddev, absl::nullopt);
ASSERT_THAT(metrics[1].stats.min, absl::nullopt);
ASSERT_THAT(metrics[1].stats.max, absl::nullopt);
}
TEST(MetricsAccumulatorTest, AddMetadataAfterAddingSampleWontCreateNewMetric) {
MetricsAccumulator accumulator;
ASSERT_TRUE(accumulator.AddSample(
"metric_name", "test_case_name",
/*value=*/10, Timestamp::Seconds(1),
/*point_metadata=*/
std::map<std::string, std::string>{{"key_s", "value_s"}}));
ASSERT_FALSE(accumulator.AddMetricMetadata(
"metric_name", "test_case_name", Unit::kMilliseconds,
ImprovementDirection::kBiggerIsBetter,
/*metric_metadata=*/
std::map<std::string, std::string>{{"key_m", "value_m"}}));
std::vector<Metric> metrics = accumulator.GetCollectedMetrics();
ASSERT_THAT(metrics, SizeIs(1));
const Metric& metric = metrics[0];
EXPECT_THAT(metric.name, Eq("metric_name"));
EXPECT_THAT(metric.test_case, Eq("test_case_name"));
EXPECT_THAT(metric.unit, Eq(Unit::kMilliseconds));
EXPECT_THAT(metric.improvement_direction,
Eq(ImprovementDirection::kBiggerIsBetter));
EXPECT_THAT(metric.metric_metadata,
Eq(std::map<std::string, std::string>{{"key_m", "value_m"}}));
ASSERT_THAT(metric.time_series.samples, SizeIs(1));
EXPECT_THAT(metric.time_series.samples[0].value, Eq(10.0));
EXPECT_THAT(metric.time_series.samples[0].timestamp,
Eq(Timestamp::Seconds(1)));
EXPECT_THAT(metric.time_series.samples[0].sample_metadata,
Eq(std::map<std::string, std::string>{{"key_s", "value_s"}}));
ASSERT_THAT(metric.stats.mean, absl::optional<double>(10.0));
ASSERT_THAT(metric.stats.stddev, absl::optional<double>(0.0));
ASSERT_THAT(metric.stats.min, absl::optional<double>(10.0));
ASSERT_THAT(metric.stats.max, absl::optional<double>(10.0));
}
TEST(MetricsAccumulatorTest, AddSampleAfterAddingMetadataWontCreateNewMetric) {
MetricsAccumulator accumulator;
ASSERT_TRUE(accumulator.AddMetricMetadata(
"metric_name", "test_case_name", Unit::kMilliseconds,
ImprovementDirection::kBiggerIsBetter,
/*metric_metadata=*/
std::map<std::string, std::string>{{"key_m", "value_m"}}));
ASSERT_FALSE(accumulator.AddSample(
"metric_name", "test_case_name",
/*value=*/10, Timestamp::Seconds(1),
/*point_metadata=*/
std::map<std::string, std::string>{{"key_s", "value_s"}}));
std::vector<Metric> metrics = accumulator.GetCollectedMetrics();
ASSERT_THAT(metrics, SizeIs(1));
const Metric& metric = metrics[0];
EXPECT_THAT(metric.name, Eq("metric_name"));
EXPECT_THAT(metric.test_case, Eq("test_case_name"));
EXPECT_THAT(metric.unit, Eq(Unit::kMilliseconds));
EXPECT_THAT(metric.improvement_direction,
Eq(ImprovementDirection::kBiggerIsBetter));
EXPECT_THAT(metric.metric_metadata,
Eq(std::map<std::string, std::string>{{"key_m", "value_m"}}));
ASSERT_THAT(metric.time_series.samples, SizeIs(1));
EXPECT_THAT(metric.time_series.samples[0].value, Eq(10.0));
EXPECT_THAT(metric.time_series.samples[0].timestamp,
Eq(Timestamp::Seconds(1)));
EXPECT_THAT(metric.time_series.samples[0].sample_metadata,
Eq(std::map<std::string, std::string>{{"key_s", "value_s"}}));
ASSERT_THAT(metric.stats.mean, absl::optional<double>(10.0));
ASSERT_THAT(metric.stats.stddev, absl::optional<double>(0.0));
ASSERT_THAT(metric.stats.min, absl::optional<double>(10.0));
ASSERT_THAT(metric.stats.max, absl::optional<double>(10.0));
}
} // namespace
} // namespace test
} // namespace webrtc

View File

@ -99,6 +99,13 @@ void DefaultMetricsLogger::LogMetric(
.stats = std::move(metric_stats)});
}
std::vector<Metric> DefaultMetricsLogger::GetCollectedMetrics() const {
std::vector<Metric> out = metrics_accumulator_.GetCollectedMetrics();
MutexLock lock(&mutex_);
out.insert(out.end(), metrics_.begin(), metrics_.end());
return out;
}
Timestamp DefaultMetricsLogger::Now() {
return clock_->CurrentTime();
}

View File

@ -19,6 +19,7 @@
#include "absl/strings/string_view.h"
#include "api/numerics/samples_stats_counter.h"
#include "api/test/metrics/metric.h"
#include "api/test/metrics/metrics_accumulator.h"
#include "rtc_base/synchronization/mutex.h"
#include "system_wrappers/include/clock.h"
@ -90,16 +91,16 @@ class DefaultMetricsLogger : public MetricsLogger {
ImprovementDirection improvement_direction,
std::map<std::string, std::string> metadata = {}) override;
// Returns all metrics collected by this logger.
std::vector<Metric> GetCollectedMetrics() const override {
MutexLock lock(&mutex_);
return metrics_;
}
// Returns all metrics collected by this logger and its `MetricsAccumulator`.
std::vector<Metric> GetCollectedMetrics() const override;
MetricsAccumulator* GetMetricsAccumulator() { return &metrics_accumulator_; }
private:
webrtc::Timestamp Now();
webrtc::Clock* const clock_;
MetricsAccumulator metrics_accumulator_;
mutable Mutex mutex_;
std::vector<Metric> metrics_ RTC_GUARDED_BY(mutex_);

View File

@ -27,6 +27,7 @@ namespace {
using ::testing::Eq;
using ::testing::IsEmpty;
using ::testing::SizeIs;
std::map<std::string, std::string> DefaultMetadata() {
return std::map<std::string, std::string>{{"key", "value"}};
@ -40,7 +41,7 @@ TEST(DefaultMetricsLoggerTest, LogSingleValueMetricRecordsMetric) {
std::map<std::string, std::string>{{"key", "value"}});
std::vector<Metric> metrics = logger.GetCollectedMetrics();
ASSERT_THAT(metrics.size(), Eq(1lu));
ASSERT_THAT(metrics, SizeIs(1));
const Metric& metric = metrics[0];
EXPECT_THAT(metric.name, Eq("metric_name"));
EXPECT_THAT(metric.test_case, Eq("test_case_name"));
@ -49,7 +50,7 @@ TEST(DefaultMetricsLoggerTest, LogSingleValueMetricRecordsMetric) {
Eq(ImprovementDirection::kBiggerIsBetter));
EXPECT_THAT(metric.metric_metadata,
Eq(std::map<std::string, std::string>{{"key", "value"}}));
ASSERT_THAT(metric.time_series.samples.size(), Eq(1lu));
ASSERT_THAT(metric.time_series.samples, SizeIs(1));
EXPECT_THAT(metric.time_series.samples[0].value, Eq(10.0));
EXPECT_THAT(metric.time_series.samples[0].sample_metadata,
Eq(std::map<std::string, std::string>{}));
@ -78,7 +79,7 @@ TEST(DefaultMetricsLoggerTest, LogMetricWithSamplesStatsCounterRecordsMetric) {
std::map<std::string, std::string>{{"key", "value"}});
std::vector<Metric> metrics = logger.GetCollectedMetrics();
ASSERT_THAT(metrics.size(), Eq(1lu));
ASSERT_THAT(metrics, SizeIs(1));
const Metric& metric = metrics[0];
EXPECT_THAT(metric.name, Eq("metric_name"));
EXPECT_THAT(metric.test_case, Eq("test_case_name"));
@ -87,7 +88,7 @@ TEST(DefaultMetricsLoggerTest, LogMetricWithSamplesStatsCounterRecordsMetric) {
Eq(ImprovementDirection::kBiggerIsBetter));
EXPECT_THAT(metric.metric_metadata,
Eq(std::map<std::string, std::string>{{"key", "value"}}));
ASSERT_THAT(metric.time_series.samples.size(), Eq(2lu));
ASSERT_THAT(metric.time_series.samples, SizeIs(2));
EXPECT_THAT(metric.time_series.samples[0].value, Eq(10.0));
EXPECT_THAT(metric.time_series.samples[0].sample_metadata,
Eq(std::map<std::string, std::string>{{"point_key1", "value1"}}));
@ -108,7 +109,7 @@ TEST(DefaultMetricsLoggerTest,
ImprovementDirection::kBiggerIsBetter, DefaultMetadata());
std::vector<Metric> metrics = logger.GetCollectedMetrics();
ASSERT_THAT(metrics.size(), Eq(1lu));
ASSERT_THAT(metrics, SizeIs(1));
EXPECT_THAT(metrics[0].name, Eq("metric_name"));
EXPECT_THAT(metrics[0].test_case, Eq("test_case_name"));
EXPECT_THAT(metrics[0].time_series.samples, IsEmpty());
@ -126,7 +127,7 @@ TEST(DefaultMetricsLoggerTest, LogMetricWithStatsRecordsMetric) {
std::map<std::string, std::string>{{"key", "value"}});
std::vector<Metric> metrics = logger.GetCollectedMetrics();
ASSERT_THAT(metrics.size(), Eq(1lu));
ASSERT_THAT(metrics, SizeIs(1));
const Metric& metric = metrics[0];
EXPECT_THAT(metric.name, Eq("metric_name"));
EXPECT_THAT(metric.test_case, Eq("test_case_name"));
@ -135,7 +136,7 @@ TEST(DefaultMetricsLoggerTest, LogMetricWithStatsRecordsMetric) {
Eq(ImprovementDirection::kBiggerIsBetter));
EXPECT_THAT(metric.metric_metadata,
Eq(std::map<std::string, std::string>{{"key", "value"}}));
ASSERT_THAT(metric.time_series.samples.size(), Eq(0lu));
ASSERT_THAT(metric.time_series.samples, IsEmpty());
ASSERT_THAT(metric.stats.mean, absl::optional<double>(15.0));
ASSERT_THAT(metric.stats.stddev, absl::optional<double>(5.0));
ASSERT_THAT(metric.stats.min, absl::optional<double>(10.0));
@ -155,7 +156,7 @@ TEST(DefaultMetricsLoggerTest, LogSingleValueMetricRecordsMultipleMetrics) {
DefaultMetadata());
std::vector<Metric> metrics = logger.GetCollectedMetrics();
ASSERT_THAT(metrics.size(), Eq(2lu));
ASSERT_THAT(metrics, SizeIs(2));
EXPECT_THAT(metrics[0].name, Eq("metric_name1"));
EXPECT_THAT(metrics[0].test_case, Eq("test_case_name1"));
EXPECT_THAT(metrics[1].name, Eq("metric_name2"));
@ -183,7 +184,7 @@ TEST(DefaultMetricsLoggerTest,
DefaultMetadata());
std::vector<Metric> metrics = logger.GetCollectedMetrics();
ASSERT_THAT(metrics.size(), Eq(2lu));
ASSERT_THAT(metrics, SizeIs(2));
EXPECT_THAT(metrics[0].name, Eq("metric_name1"));
EXPECT_THAT(metrics[0].test_case, Eq("test_case_name1"));
EXPECT_THAT(metrics[1].name, Eq("metric_name2"));
@ -202,7 +203,7 @@ TEST(DefaultMetricsLoggerTest, LogMetricWithStatsRecordsMultipleMetrics) {
DefaultMetadata());
std::vector<Metric> metrics = logger.GetCollectedMetrics();
ASSERT_THAT(metrics.size(), Eq(2lu));
ASSERT_THAT(metrics, SizeIs(2));
EXPECT_THAT(metrics[0].name, Eq("metric_name1"));
EXPECT_THAT(metrics[0].test_case, Eq("test_case_name1"));
EXPECT_THAT(metrics[1].name, Eq("metric_name2"));
@ -244,6 +245,82 @@ TEST(DefaultMetricsLoggerTest,
EXPECT_THAT(metrics[2].test_case, Eq("test_case_name3"));
}
TEST(DefaultMetricsLoggerTest, AccumulatedMetricsReturnedInCollectedMetrics) {
DefaultMetricsLogger logger(Clock::GetRealTimeClock());
logger.GetMetricsAccumulator()->AddSample(
"metric_name", "test_case_name",
/*value=*/10, Timestamp::Seconds(1),
/*point_metadata=*/std::map<std::string, std::string>{{"key", "value"}});
std::vector<Metric> metrics = logger.GetCollectedMetrics();
ASSERT_THAT(metrics, SizeIs(1));
const Metric& metric = metrics[0];
EXPECT_THAT(metric.name, Eq("metric_name"));
EXPECT_THAT(metric.test_case, Eq("test_case_name"));
EXPECT_THAT(metric.unit, Eq(Unit::kUnitless));
EXPECT_THAT(metric.improvement_direction,
Eq(ImprovementDirection::kNeitherIsBetter));
EXPECT_THAT(metric.metric_metadata, IsEmpty());
ASSERT_THAT(metric.time_series.samples, SizeIs(1));
EXPECT_THAT(metric.time_series.samples[0].value, Eq(10.0));
EXPECT_THAT(metric.time_series.samples[0].timestamp,
Eq(Timestamp::Seconds(1)));
EXPECT_THAT(metric.time_series.samples[0].sample_metadata,
Eq(std::map<std::string, std::string>{{"key", "value"}}));
ASSERT_THAT(metric.stats.mean, absl::optional<double>(10.0));
ASSERT_THAT(metric.stats.stddev, absl::optional<double>(0.0));
ASSERT_THAT(metric.stats.min, absl::optional<double>(10.0));
ASSERT_THAT(metric.stats.max, absl::optional<double>(10.0));
}
TEST(DefaultMetricsLoggerTest,
AccumulatedMetricsReturnedTogetherWithLoggedMetrics) {
DefaultMetricsLogger logger(Clock::GetRealTimeClock());
logger.LogSingleValueMetric(
"metric_name1", "test_case_name1",
/*value=*/10, Unit::kMilliseconds, ImprovementDirection::kBiggerIsBetter,
std::map<std::string, std::string>{{"key_m", "value_m"}});
logger.GetMetricsAccumulator()->AddSample(
"metric_name2", "test_case_name2",
/*value=*/10, Timestamp::Seconds(1),
/*point_metadata=*/
std::map<std::string, std::string>{{"key_s", "value_s"}});
std::vector<Metric> metrics = logger.GetCollectedMetrics();
ASSERT_THAT(metrics, SizeIs(2));
EXPECT_THAT(metrics[0].name, Eq("metric_name2"));
EXPECT_THAT(metrics[0].test_case, Eq("test_case_name2"));
EXPECT_THAT(metrics[0].unit, Eq(Unit::kUnitless));
EXPECT_THAT(metrics[0].improvement_direction,
Eq(ImprovementDirection::kNeitherIsBetter));
EXPECT_THAT(metrics[0].metric_metadata, IsEmpty());
ASSERT_THAT(metrics[0].time_series.samples, SizeIs(1));
EXPECT_THAT(metrics[0].time_series.samples[0].value, Eq(10.0));
EXPECT_THAT(metrics[0].time_series.samples[0].timestamp,
Eq(Timestamp::Seconds(1)));
EXPECT_THAT(metrics[0].time_series.samples[0].sample_metadata,
Eq(std::map<std::string, std::string>{{"key_s", "value_s"}}));
ASSERT_THAT(metrics[0].stats.mean, absl::optional<double>(10.0));
ASSERT_THAT(metrics[0].stats.stddev, absl::optional<double>(0.0));
ASSERT_THAT(metrics[0].stats.min, absl::optional<double>(10.0));
ASSERT_THAT(metrics[0].stats.max, absl::optional<double>(10.0));
EXPECT_THAT(metrics[1].name, Eq("metric_name1"));
EXPECT_THAT(metrics[1].test_case, Eq("test_case_name1"));
EXPECT_THAT(metrics[1].unit, Eq(Unit::kMilliseconds));
EXPECT_THAT(metrics[1].improvement_direction,
Eq(ImprovementDirection::kBiggerIsBetter));
EXPECT_THAT(metrics[1].metric_metadata,
Eq(std::map<std::string, std::string>{{"key_m", "value_m"}}));
ASSERT_THAT(metrics[1].time_series.samples, SizeIs(1));
EXPECT_THAT(metrics[1].time_series.samples[0].value, Eq(10.0));
EXPECT_THAT(metrics[1].time_series.samples[0].sample_metadata,
Eq(std::map<std::string, std::string>{}));
ASSERT_THAT(metrics[1].stats.mean, absl::optional<double>(10.0));
ASSERT_THAT(metrics[1].stats.stddev, absl::nullopt);
ASSERT_THAT(metrics[1].stats.min, absl::optional<double>(10.0));
ASSERT_THAT(metrics[1].stats.max, absl::optional<double>(10.0));
}
} // namespace
} // namespace test
} // namespace webrtc