Kevin Marshall | d35a33709 | 2020-03-17 22:20:23 | [diff] [blame] | 1 | // Copyright 2020 The Chromium Authors. All rights reserved. |
| 2 | // Use of this source code is governed by a BSD-style license that can be |
| 3 | // found in the LICENSE file. |
| 4 | |
| 5 | #include "fuchsia/base/legacymetrics_histogram_flattener.h" |
| 6 | |
| 7 | #include "base/metrics/histogram_macros.h" |
| 8 | #include "testing/gtest/include/gtest/gtest.h" |
| 9 | |
| 10 | using fuchsia::legacymetrics::Histogram; |
| 11 | using fuchsia::legacymetrics::HistogramBucket; |
| 12 | |
| 13 | namespace cr_fuchsia { |
| 14 | namespace { |
| 15 | |
| 16 | constexpr char kHistogramCount1M[] = "Foo.Bar"; |
| 17 | |
| 18 | int64_t GetCount(int64_t value, const std::vector<HistogramBucket>& buckets) { |
| 19 | for (const HistogramBucket& bucket : buckets) { |
| 20 | if (value >= bucket.min && value < bucket.max) |
| 21 | return bucket.count; |
| 22 | } |
| 23 | |
| 24 | return 0; |
| 25 | } |
| 26 | |
| 27 | const fuchsia::legacymetrics::Histogram* LookupHistogram( |
| 28 | base::StringPiece name, |
| 29 | const std::vector<Histogram>& histograms) { |
| 30 | for (const auto& histogram : histograms) { |
| 31 | if (histogram.name() == name) |
| 32 | return &histogram; |
| 33 | } |
| 34 | return nullptr; |
| 35 | } |
| 36 | |
| 37 | class LegacyMetricsHistogramFlattenerTest : public testing::Test { |
| 38 | public: |
| 39 | LegacyMetricsHistogramFlattenerTest() = default; |
| 40 | ~LegacyMetricsHistogramFlattenerTest() override = default; |
Kevin Marshall | 05e29bd | 2020-03-19 21:55:44 | [diff] [blame] | 41 | |
| 42 | void SetUp() override { |
| 43 | // Flush all histogram deltas from prior tests executed in this process. |
| 44 | GetLegacyMetricsDeltas(); |
| 45 | } |
Kevin Marshall | d35a33709 | 2020-03-17 22:20:23 | [diff] [blame] | 46 | }; |
| 47 | |
| 48 | TEST_F(LegacyMetricsHistogramFlattenerTest, NoHistogramData) { |
| 49 | EXPECT_TRUE(GetLegacyMetricsDeltas().empty()); |
| 50 | } |
| 51 | |
| 52 | TEST_F(LegacyMetricsHistogramFlattenerTest, Boolean) { |
| 53 | constexpr char kBooleanHistogram[] = "Foo.Bar.Boolean"; |
| 54 | UMA_HISTOGRAM_BOOLEAN(kBooleanHistogram, true); |
| 55 | UMA_HISTOGRAM_BOOLEAN(kBooleanHistogram, true); |
| 56 | UMA_HISTOGRAM_BOOLEAN(kBooleanHistogram, false); |
| 57 | |
| 58 | auto deltas = GetLegacyMetricsDeltas(); |
| 59 | EXPECT_EQ(1, |
| 60 | GetCount(0, LookupHistogram(kBooleanHistogram, deltas)->buckets())); |
| 61 | EXPECT_EQ(2, |
| 62 | GetCount(1, LookupHistogram(kBooleanHistogram, deltas)->buckets())); |
| 63 | } |
| 64 | |
| 65 | TEST_F(LegacyMetricsHistogramFlattenerTest, Linear) { |
| 66 | constexpr char kLinearHistogram[] = "Foo.Bar.Linear"; |
| 67 | |
| 68 | for (int i = 0; i < 200; ++i) { |
| 69 | UMA_HISTOGRAM_EXACT_LINEAR(kLinearHistogram, i, 200); |
| 70 | } |
| 71 | |
| 72 | auto deltas = GetLegacyMetricsDeltas(); |
| 73 | |
| 74 | for (int i = 0; i < 200; ++i) { |
| 75 | EXPECT_EQ( |
| 76 | 1, GetCount(i, LookupHistogram(kLinearHistogram, deltas)->buckets())); |
| 77 | } |
| 78 | } |
| 79 | |
| 80 | TEST_F(LegacyMetricsHistogramFlattenerTest, Percentage) { |
| 81 | constexpr char kPercentageHistogram[] = "Foo.Bar.Percentage"; |
| 82 | |
| 83 | for (int i = 0; i <= 100; ++i) { |
| 84 | for (int j = 0; j < i; ++j) |
| 85 | UMA_HISTOGRAM_PERCENTAGE(kPercentageHistogram, i); |
| 86 | } |
| 87 | |
| 88 | auto deltas = GetLegacyMetricsDeltas(); |
| 89 | |
| 90 | for (int i = 0; i <= 100; ++i) { |
| 91 | EXPECT_EQ( |
| 92 | i, |
| 93 | GetCount(i, LookupHistogram(kPercentageHistogram, deltas)->buckets())); |
| 94 | } |
| 95 | } |
| 96 | |
| 97 | enum Fruit { |
| 98 | APPLE, |
| 99 | BANANA, |
| 100 | PEAR, |
| 101 | FRUIT_MAX = PEAR, |
| 102 | }; |
| 103 | |
| 104 | TEST_F(LegacyMetricsHistogramFlattenerTest, Enumeration) { |
| 105 | constexpr char kEnumHistogram[] = "Foo.Bar.Enumeration"; |
| 106 | |
| 107 | UMA_HISTOGRAM_ENUMERATION(kEnumHistogram, APPLE, FRUIT_MAX); |
| 108 | UMA_HISTOGRAM_ENUMERATION(kEnumHistogram, BANANA, FRUIT_MAX); |
| 109 | UMA_HISTOGRAM_ENUMERATION(kEnumHistogram, BANANA, FRUIT_MAX); |
| 110 | UMA_HISTOGRAM_ENUMERATION(kEnumHistogram, BANANA, FRUIT_MAX); |
| 111 | UMA_HISTOGRAM_ENUMERATION(kEnumHistogram, PEAR, FRUIT_MAX); |
| 112 | |
| 113 | auto deltas = GetLegacyMetricsDeltas(); |
| 114 | |
| 115 | EXPECT_EQ( |
| 116 | 1, GetCount(APPLE, LookupHistogram(kEnumHistogram, deltas)->buckets())); |
| 117 | EXPECT_EQ( |
| 118 | 3, GetCount(BANANA, LookupHistogram(kEnumHistogram, deltas)->buckets())); |
| 119 | EXPECT_EQ(1, |
| 120 | GetCount(PEAR, LookupHistogram(kEnumHistogram, deltas)->buckets())); |
| 121 | } |
| 122 | |
| 123 | TEST_F(LegacyMetricsHistogramFlattenerTest, NoNewData) { |
| 124 | UMA_HISTOGRAM_COUNTS_1M(kHistogramCount1M, 20); |
| 125 | |
| 126 | auto deltas = GetLegacyMetricsDeltas(); |
| 127 | EXPECT_EQ( |
| 128 | 1, GetCount(20, LookupHistogram(kHistogramCount1M, deltas)->buckets())); |
| 129 | |
| 130 | // No changes to a histogram means we should not be seeing it in the deltas. |
| 131 | deltas = GetLegacyMetricsDeltas(); |
| 132 | EXPECT_TRUE(deltas.empty()); |
| 133 | } |
| 134 | |
| 135 | TEST_F(LegacyMetricsHistogramFlattenerTest, MultipleHistograms) { |
| 136 | constexpr char kAnotherHistogram[] = "Foo.Bar2"; |
| 137 | |
| 138 | UMA_HISTOGRAM_COUNTS_1M(kHistogramCount1M, 20); |
| 139 | UMA_HISTOGRAM_COUNTS_1M(kAnotherHistogram, 1000); |
| 140 | UMA_HISTOGRAM_COUNTS_1M(kAnotherHistogram, 1000); |
| 141 | |
| 142 | auto deltas = GetLegacyMetricsDeltas(); |
| 143 | EXPECT_EQ( |
| 144 | 1, GetCount(20, LookupHistogram(kHistogramCount1M, deltas)->buckets())); |
| 145 | EXPECT_EQ( |
| 146 | 2, GetCount(1000, LookupHistogram(kAnotherHistogram, deltas)->buckets())); |
| 147 | } |
| 148 | |
| 149 | TEST_F(LegacyMetricsHistogramFlattenerTest, MultipleBuckets) { |
| 150 | UMA_HISTOGRAM_COUNTS_1M(kHistogramCount1M, 20); |
| 151 | UMA_HISTOGRAM_COUNTS_1M(kHistogramCount1M, 1000); |
| 152 | |
| 153 | auto deltas = GetLegacyMetricsDeltas(); |
| 154 | EXPECT_EQ( |
| 155 | 1, GetCount(20, LookupHistogram(kHistogramCount1M, deltas)->buckets())); |
| 156 | EXPECT_EQ( |
| 157 | 1, GetCount(1000, LookupHistogram(kHistogramCount1M, deltas)->buckets())); |
| 158 | |
| 159 | UMA_HISTOGRAM_COUNTS_1M(kHistogramCount1M, 1000); |
| 160 | UMA_HISTOGRAM_COUNTS_1M(kHistogramCount1M, 1000); |
| 161 | deltas = GetLegacyMetricsDeltas(); |
| 162 | EXPECT_EQ( |
| 163 | 2, GetCount(1000, LookupHistogram(kHistogramCount1M, deltas)->buckets())); |
| 164 | } |
| 165 | |
| 166 | } // namespace |
| 167 | } // namespace cr_fuchsia |