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Unified Diff: chrome/browser/ui/webui/performance_monitor/performance_monitor_ui_util_unittest.cc

Issue 547063003: Remove the unmaintained performance monitor. (Closed) Base URL: https://chromium.googlesource.com/chromium/src.git@master
Patch Set: Rebase Created 6 years, 3 months ago
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Index: chrome/browser/ui/webui/performance_monitor/performance_monitor_ui_util_unittest.cc
diff --git a/chrome/browser/ui/webui/performance_monitor/performance_monitor_ui_util_unittest.cc b/chrome/browser/ui/webui/performance_monitor/performance_monitor_ui_util_unittest.cc
deleted file mode 100644
index 6841ea880b94ddaadca9574c147c4f66e35e7082..0000000000000000000000000000000000000000
--- a/chrome/browser/ui/webui/performance_monitor/performance_monitor_ui_util_unittest.cc
+++ /dev/null
@@ -1,252 +0,0 @@
-// Copyright (c) 2012 The Chromium Authors. All rights reserved.
-// Use of this source code is governed by a BSD-style license that can be
-// found in the LICENSE file.
-
-#include <string>
-
-#include "base/strings/string_number_conversions.h"
-#include "base/time/time.h"
-#include "chrome/browser/performance_monitor/metric.h"
-#include "chrome/browser/ui/webui/performance_monitor/performance_monitor_ui_util.h"
-#include "testing/gtest/include/gtest/gtest.h"
-
-namespace performance_monitor {
-
-class PerformanceMonitorUtilTest : public ::testing::Test {
- protected:
- // Helper method in order to access the otherwise-private AggregateInterval
- // method within the aggregation classes, so that we can test specific
- // aggregation methods without the extra burden of interval separation (which
- // is tested separately).
- scoped_ptr<Database::MetricVector> AggregateSingleInterval(
- MetricType type,
- const Database::MetricVector* metrics,
- const base::Time& start,
- const base::TimeDelta& resolution,
- AggregationMethod method) {
- const base::Time kMaxTime = base::Time::FromDoubleT(100);
- Database::MetricVector::const_iterator metric = metrics->begin();
- while (metric != metrics->end() && metric->time < start)
- ++metric;
-
- scoped_ptr<Aggregator> aggregator;
- switch (method) {
- case AGGREGATION_METHOD_NONE:
- aggregator.reset(new NoAggregation());
- break;
- case AGGREGATION_METHOD_MEDIAN:
- aggregator.reset(new MedianAggregation());
- break;
- case AGGREGATION_METHOD_MEAN:
- aggregator.reset(new MeanAggregation());
- break;
- default:
- NOTREACHED();
- return scoped_ptr<Database::MetricVector>();
- }
- return aggregator->AggregateInterval(
- type, &metric, metrics->end(), start, kMaxTime, resolution);
- }
-};
-
-TEST_F(PerformanceMonitorUtilTest, AggregateMetricEmptyTest) {
- Database::MetricVector metric_vector;
- const base::Time data_time = base::Time::FromDoubleT(1);
- metric_vector.push_back(Metric(METRIC_CPU_USAGE, data_time, 1));
-
- const base::Time results_time = base::Time::FromDoubleT(3);
- const base::TimeDelta resolution = base::TimeDelta::FromSeconds(1);
- scoped_ptr<Database::MetricVector> aggregated_metric =
- AggregateSingleInterval(METRIC_CPU_USAGE,
- &metric_vector,
- results_time,
- resolution,
- AGGREGATION_METHOD_MEAN);
- ASSERT_EQ(0u, aggregated_metric->size());
- aggregated_metric = AggregateSingleInterval(METRIC_CPU_USAGE,
- &metric_vector,
- results_time,
- resolution,
- AGGREGATION_METHOD_MEDIAN);
- ASSERT_EQ(0u, aggregated_metric->size());
-}
-
-TEST_F(PerformanceMonitorUtilTest, AggregateMetricSimpleTest) {
- const base::Time data_time = base::Time::FromDoubleT(2);
- const base::Time results_time = base::Time::FromDoubleT(1);
- const base::TimeDelta results_resolution = base::TimeDelta::FromSeconds(2);
-
- const double value = 3.14;
- Database::MetricVector metric_vector;
- metric_vector.push_back(Metric(METRIC_CPU_USAGE, data_time, value));
- Database::MetricVector aggregated_metric =
- *AggregateSingleInterval(METRIC_CPU_USAGE,
- &metric_vector,
- results_time,
- results_resolution,
- AGGREGATION_METHOD_MEAN);
-
- ASSERT_EQ(1u, aggregated_metric.size());
- EXPECT_EQ(results_time + results_resolution, aggregated_metric[0].time);
- EXPECT_EQ(value, aggregated_metric[0].value);
-
- aggregated_metric = *AggregateSingleInterval(METRIC_CPU_USAGE,
- &metric_vector,
- results_time,
- results_resolution,
- AGGREGATION_METHOD_MEDIAN);
- ASSERT_EQ(1u, aggregated_metric.size());
- EXPECT_EQ(results_time + results_resolution, aggregated_metric[0].time);
- EXPECT_EQ(value, aggregated_metric[0].value);
-}
-
-TEST_F(PerformanceMonitorUtilTest, AggregateMetricDenseTest) {
- base::Time current_data_time = base::Time::FromDoubleT(2);
- const base::TimeDelta data_resolution = base::TimeDelta::FromSeconds(1);
- const base::Time results_time = base::Time::FromDoubleT(6);
- const base::TimeDelta results_resolution = base::TimeDelta::FromSeconds(4);
- double current_value = 1;
- int num_points = 12;
- Database::MetricVector metric_vector;
-
- for (int i = 0; i < num_points; ++i) {
- metric_vector.push_back(Metric(METRIC_CPU_USAGE,
- current_data_time,
- current_value));
- current_value *= 2;
- current_data_time += data_resolution;
- }
- Database::MetricVector aggregated_metric =
- *AggregateSingleInterval(METRIC_CPU_USAGE,
- &metric_vector,
- results_time,
- results_resolution,
- AGGREGATION_METHOD_MEAN);
- // The first 4 points get ignored because they are before the start time.
- // The remaining 8 points are aggregated into two data points.
- ASSERT_EQ(2u, aggregated_metric.size());
- EXPECT_EQ(results_time + results_resolution, aggregated_metric[0].time);
- EXPECT_DOUBLE_EQ((32 + 64 + 128 + 256) / 4.0, aggregated_metric[0].value);
- EXPECT_EQ(results_time + (2 * results_resolution),
- aggregated_metric[1].time);
- // Since we don't have data for the time of 14, we stretch out the 2048.
- EXPECT_DOUBLE_EQ((512 + 1024 + 2048 + 2048) / 4.0,
- aggregated_metric[1].value);
-
- aggregated_metric = *AggregateSingleInterval(METRIC_CPU_USAGE,
- &metric_vector,
- results_time,
- results_resolution,
- AGGREGATION_METHOD_MEDIAN);
- ASSERT_EQ(2u, aggregated_metric.size());
- EXPECT_EQ(results_time + results_resolution, aggregated_metric[0].time);
- EXPECT_EQ(results_time + 2 * results_resolution,
- aggregated_metric[1].time);
- EXPECT_EQ(48, aggregated_metric[0].value);
- EXPECT_EQ(768, aggregated_metric[1].value);
-}
-
-TEST_F(PerformanceMonitorUtilTest, AggregateMetricSparseTest) {
- Database::MetricVector metric_vector;
-
- const base::Time data_time1 = base::Time::FromDoubleT(20);
- const double value1 = 3.14;
- metric_vector.push_back(Metric(METRIC_CPU_USAGE, data_time1, value1));
- const base::Time data_time2 = base::Time::FromDoubleT(40);
- const double value2 = 6.28;
- metric_vector.push_back(Metric(METRIC_CPU_USAGE, data_time2, value2));
- const base::Time data_time3 = base::Time::FromDoubleT(60);
- const double value3 = 9.42;
- metric_vector.push_back(Metric(METRIC_CPU_USAGE, data_time3, value3));
-
- const base::Time results_time = base::Time::FromDoubleT(19);
- const base::TimeDelta results_resolution = base::TimeDelta::FromSeconds(2);
- Database::MetricVector aggregated_metric =
- *AggregateSingleInterval(METRIC_CPU_USAGE,
- &metric_vector,
- results_time,
- results_resolution,
- AGGREGATION_METHOD_MEAN);
-
- // The first aggregation point is split between the first value and the second
- // value. The second is split between the second and third. The third doesn't
- // have any data after it so the aggregation is the same value.
- ASSERT_EQ(3u, aggregated_metric.size());
- EXPECT_EQ(results_time + 1 * results_resolution,
- aggregated_metric[0].time);
- EXPECT_EQ((value1 + value2) / 2, aggregated_metric[0].value);
- EXPECT_EQ(results_time + 11 * results_resolution,
- aggregated_metric[1].time);
- EXPECT_EQ((value2 + value3) / 2, aggregated_metric[1].value);
- EXPECT_EQ(results_time + 21 * results_resolution,
- aggregated_metric[2].time);
- EXPECT_EQ(value3, aggregated_metric[2].value);
-
- // For median values, we go from [start, end). Thus, since each of these are
- // one window apart, each value will have it's own window.
- aggregated_metric = *AggregateSingleInterval(METRIC_CPU_USAGE,
- &metric_vector,
- results_time,
- results_resolution,
- AGGREGATION_METHOD_MEDIAN);
- ASSERT_EQ(3u, aggregated_metric.size());
- EXPECT_EQ(results_time + 1 * results_resolution,
- aggregated_metric[0].time);
- EXPECT_EQ(value1, aggregated_metric[0].value);
- EXPECT_EQ(results_time + 11 * results_resolution,
- aggregated_metric[1].time);
- EXPECT_EQ(value2, aggregated_metric[1].value);
- EXPECT_EQ(results_time + 21 * results_resolution,
- aggregated_metric[2].time);
- EXPECT_EQ(value3, aggregated_metric[2].value);
-}
-
-TEST_F(PerformanceMonitorUtilTest, AggregateMetricMultipleIntervals) {
- base::Time current_data_time = base::Time::FromDoubleT(1);
- Database::MetricVector metric_vector;
-
- const int kNumMetrics = 20;
- for (int i = 0; i < kNumMetrics; ++i) {
- metric_vector.push_back(Metric(METRIC_CPU_USAGE,
- current_data_time,
- i + 1));
- current_data_time += base::TimeDelta::FromSeconds(1);
- }
-
- std::vector<TimeRange> time_ranges;
- time_ranges.push_back(TimeRange(base::Time::FromDoubleT(2),
- base::Time::FromDoubleT(10)));
- time_ranges.push_back(TimeRange(base::Time::FromDoubleT(12),
- base::Time::FromDoubleT(22)));
-
- std::vector<Database::MetricVector> results =
- *AggregateMetric(METRIC_CPU_USAGE,
- &metric_vector,
- base::Time::FromDoubleT(2),
- time_ranges,
- base::TimeDelta::FromSeconds(1),
- AGGREGATION_METHOD_NONE);
-
- ASSERT_EQ(2u, results.size());
- Database::MetricVector metric_series = results[0];
- ASSERT_EQ(9u, metric_series.size());
- double expected = 2;
- for (Database::MetricVector::const_iterator iter = metric_series.begin();
- iter != metric_series.end(); ++iter) {
- EXPECT_EQ(expected, iter->value);
- EXPECT_EQ(base::Time::FromDoubleT(expected), iter->time);
- ++expected;
- }
-
- metric_series = results[1];
- ASSERT_EQ(9u, metric_series.size());
- expected = 12;
- for (Database::MetricVector::const_iterator iter = metric_series.begin();
- iter != metric_series.end(); ++iter) {
- EXPECT_EQ(expected, iter->value);
- EXPECT_EQ(base::Time::FromDoubleT(expected), iter->time);
- ++expected;
- }
-}
-
-} // namespace performance_monitor
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