blob: 0414bc78f426061d42e520c847f9ff0bf0526bc0 [file] [log] [blame]
asapersson01d70a32016-05-20 06:29:46 -07001/*
2 * Copyright (c) 2016 The WebRTC project authors. All Rights Reserved.
3 *
4 * Use of this source code is governed by a BSD-style license
5 * that can be found in the LICENSE file in the root of the source
6 * tree. An additional intellectual property rights grant can be found
7 * in the file PATENTS. All contributing project authors may
8 * be found in the AUTHORS file in the root of the source tree.
9 */
10
asapersson01d70a32016-05-20 06:29:46 -070011#include "webrtc/system_wrappers/include/metrics.h"
12#include "webrtc/system_wrappers/include/metrics_default.h"
kwibergac9f8762016-09-30 22:29:43 -070013#include "webrtc/test/gtest.h"
asapersson01d70a32016-05-20 06:29:46 -070014
15namespace webrtc {
16
17namespace {
18const int kSample = 22;
19const char kName[] = "Name";
20
21int NumSamples(
22 const std::string& name,
23 const std::map<std::string, std::unique_ptr<metrics::SampleInfo>>&
24 histograms) {
25 const auto it = histograms.find(name);
26 if (it == histograms.end())
27 return 0;
28
29 int num_samples = 0;
30 for (const auto& sample : it->second->samples)
31 num_samples += sample.second;
32
33 return num_samples;
34}
35
36int NumEvents(const std::string& name,
37 int sample,
38 const std::map<std::string, std::unique_ptr<metrics::SampleInfo>>&
39 histograms) {
40 const auto it = histograms.find(name);
41 if (it == histograms.end())
42 return 0;
43
44 const auto it_sample = it->second->samples.find(sample);
45 if (it_sample == it->second->samples.end())
46 return 0;
47
48 return it_sample->second;
49}
50} // namespace
51
52class MetricsDefaultTest : public ::testing::Test {
53 public:
54 MetricsDefaultTest() {}
55
56 protected:
57 virtual void SetUp() {
58 metrics::Reset();
59 }
60};
61
62TEST_F(MetricsDefaultTest, Reset) {
63 RTC_HISTOGRAM_PERCENTAGE(kName, kSample);
64 EXPECT_EQ(1, metrics::NumSamples(kName));
65 metrics::Reset();
66 EXPECT_EQ(0, metrics::NumSamples(kName));
67}
68
69TEST_F(MetricsDefaultTest, NumSamples) {
70 RTC_HISTOGRAM_PERCENTAGE(kName, 5);
71 RTC_HISTOGRAM_PERCENTAGE(kName, 5);
72 RTC_HISTOGRAM_PERCENTAGE(kName, 10);
73 EXPECT_EQ(3, metrics::NumSamples(kName));
74 EXPECT_EQ(0, metrics::NumSamples("NonExisting"));
75}
76
77TEST_F(MetricsDefaultTest, NumEvents) {
78 RTC_HISTOGRAM_PERCENTAGE(kName, 5);
79 RTC_HISTOGRAM_PERCENTAGE(kName, 5);
80 RTC_HISTOGRAM_PERCENTAGE(kName, 10);
81 EXPECT_EQ(2, metrics::NumEvents(kName, 5));
82 EXPECT_EQ(1, metrics::NumEvents(kName, 10));
83 EXPECT_EQ(0, metrics::NumEvents(kName, 11));
84 EXPECT_EQ(0, metrics::NumEvents("NonExisting", 5));
85}
86
87TEST_F(MetricsDefaultTest, MinSample) {
88 RTC_HISTOGRAM_PERCENTAGE(kName, kSample);
89 RTC_HISTOGRAM_PERCENTAGE(kName, kSample + 1);
90 EXPECT_EQ(kSample, metrics::MinSample(kName));
91 EXPECT_EQ(-1, metrics::MinSample("NonExisting"));
92}
93
94TEST_F(MetricsDefaultTest, Overflow) {
95 const std::string kName = "Overflow";
96 // Samples should end up in overflow bucket.
97 RTC_HISTOGRAM_PERCENTAGE(kName, 101);
98 EXPECT_EQ(1, metrics::NumSamples(kName));
99 EXPECT_EQ(1, metrics::NumEvents(kName, 101));
100 RTC_HISTOGRAM_PERCENTAGE(kName, 102);
101 EXPECT_EQ(2, metrics::NumSamples(kName));
102 EXPECT_EQ(2, metrics::NumEvents(kName, 101));
103}
104
105TEST_F(MetricsDefaultTest, Underflow) {
106 const std::string kName = "Underflow";
107 // Samples should end up in underflow bucket.
108 RTC_HISTOGRAM_COUNTS_10000(kName, 0);
109 EXPECT_EQ(1, metrics::NumSamples(kName));
110 EXPECT_EQ(1, metrics::NumEvents(kName, 0));
111 RTC_HISTOGRAM_COUNTS_10000(kName, -1);
112 EXPECT_EQ(2, metrics::NumSamples(kName));
113 EXPECT_EQ(2, metrics::NumEvents(kName, 0));
114}
115
116TEST_F(MetricsDefaultTest, GetAndReset) {
117 std::map<std::string, std::unique_ptr<metrics::SampleInfo>> histograms;
118 metrics::GetAndReset(&histograms);
119 EXPECT_EQ(0u, histograms.size());
120 RTC_HISTOGRAM_PERCENTAGE("Histogram1", 4);
121 RTC_HISTOGRAM_PERCENTAGE("Histogram1", 5);
122 RTC_HISTOGRAM_PERCENTAGE("Histogram1", 5);
123 RTC_HISTOGRAM_PERCENTAGE("Histogram2", 10);
124 EXPECT_EQ(3, metrics::NumSamples("Histogram1"));
125 EXPECT_EQ(1, metrics::NumSamples("Histogram2"));
126
127 metrics::GetAndReset(&histograms);
128 EXPECT_EQ(2u, histograms.size());
129 EXPECT_EQ(0, metrics::NumSamples("Histogram1"));
130 EXPECT_EQ(0, metrics::NumSamples("Histogram2"));
131
132 EXPECT_EQ(3, NumSamples("Histogram1", histograms));
133 EXPECT_EQ(1, NumSamples("Histogram2", histograms));
134 EXPECT_EQ(1, NumEvents("Histogram1", 4, histograms));
135 EXPECT_EQ(2, NumEvents("Histogram1", 5, histograms));
136 EXPECT_EQ(1, NumEvents("Histogram2", 10, histograms));
asapersson1731c9c2016-11-30 00:29:09 -0800137
138 // Add samples after reset.
139 metrics::GetAndReset(&histograms);
140 EXPECT_EQ(0u, histograms.size());
141 RTC_HISTOGRAM_PERCENTAGE("Histogram1", 50);
142 RTC_HISTOGRAM_PERCENTAGE("Histogram2", 8);
143 EXPECT_EQ(1, metrics::NumSamples("Histogram1"));
144 EXPECT_EQ(1, metrics::NumSamples("Histogram2"));
145 EXPECT_EQ(1, metrics::NumEvents("Histogram1", 50));
146 EXPECT_EQ(1, metrics::NumEvents("Histogram2", 8));
asapersson01d70a32016-05-20 06:29:46 -0700147}
148
149TEST_F(MetricsDefaultTest, TestMinMaxBucket) {
150 const std::string kName = "MinMaxCounts100";
151 RTC_HISTOGRAM_COUNTS_100(kName, 4);
152
153 std::map<std::string, std::unique_ptr<metrics::SampleInfo>> histograms;
154 metrics::GetAndReset(&histograms);
155 EXPECT_EQ(1u, histograms.size());
156 EXPECT_EQ(kName, histograms.begin()->second->name);
157 EXPECT_EQ(1, histograms.begin()->second->min);
158 EXPECT_EQ(100, histograms.begin()->second->max);
159 EXPECT_EQ(50u, histograms.begin()->second->bucket_count);
160 EXPECT_EQ(1u, histograms.begin()->second->samples.size());
161}
162
163} // namespace webrtc