1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259
|
// Copyright 2023 The Chromium Authors
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include "components/omnibox/browser/autocomplete_scoring_model_handler.h"
#include "base/base_paths.h"
#include "base/path_service.h"
#include "base/task/sequenced_task_runner.h"
#include "base/test/task_environment.h"
#include "components/omnibox/browser/autocomplete_scoring_model_executor.h"
#include "components/optimization_guide/core/delivery/test_model_info_builder.h"
#include "components/optimization_guide/core/delivery/test_optimization_guide_model_provider.h"
#include "components/optimization_guide/proto/autocomplete_scoring_model_metadata.pb.h"
#include "components/optimization_guide/proto/models.pb.h"
#include "testing/gmock/include/gmock/gmock.h"
#include "testing/gtest/include/gtest/gtest.h"
#include "third_party/metrics_proto/omnibox_scoring_signals.pb.h"
using ScoringSignals = ::metrics::OmniboxScoringSignals;
using ::optimization_guide::proto::AutocompleteScoringModelMetadata;
using ::optimization_guide::proto::ScoringSignalSpec;
using ::optimization_guide::proto::ScoringSignalTransformation;
using ::optimization_guide::proto::ScoringSignalType;
namespace {
ScoringSignalSpec CreateScoringSignalSpec(
ScoringSignalType type,
std::optional<ScoringSignalTransformation> transformation = std::nullopt,
std::optional<float> min_val = std::nullopt,
std::optional<float> max_val = std::nullopt,
std::optional<float> missing_val = std::nullopt) {
ScoringSignalSpec spec;
spec.set_type(type);
if (transformation) {
spec.set_transformation(*transformation);
}
if (min_val) {
spec.set_min_value(*min_val);
}
if (max_val) {
spec.set_max_value(*max_val);
}
if (missing_val) {
spec.set_missing_value(*missing_val);
}
return spec;
}
} // namespace
class TestAutocompleteScoringModelExecutor
: public AutocompleteScoringModelExecutor {
public:
TestAutocompleteScoringModelExecutor() = default;
~TestAutocompleteScoringModelExecutor() override = default;
void InitializeAndMoveToExecutionThread(
std::optional<base::TimeDelta>,
optimization_guide::proto::OptimizationTarget,
scoped_refptr<base::SequencedTaskRunner>,
scoped_refptr<base::SequencedTaskRunner>) override {}
void UpdateModelFile(base::optional_ref<const base::FilePath>) override {}
void UnloadModel() override {}
// These interfere with the test code which is injecting its own model.
void SetShouldUnloadModelOnComplete(bool should_auto_unload) override {}
void SetShouldPreloadModel(bool should_preload_model) override {}
};
class AutocompleteScoringModelHandlerTest : public testing::Test {
public:
AutocompleteScoringModelHandlerTest() = default;
~AutocompleteScoringModelHandlerTest() override = default;
void SetUp() override {
model_provider_ = std::make_unique<
optimization_guide::TestOptimizationGuideModelProvider>();
model_handler_ = std::make_unique<AutocompleteScoringModelHandler>(
model_provider_.get(), task_environment_.GetMainThreadTaskRunner(),
std::make_unique<TestAutocompleteScoringModelExecutor>(),
/*optimization_target=*/
optimization_guide::proto::OPTIMIZATION_TARGET_OMNIBOX_URL_SCORING,
/*model_metadata=*/std::nullopt);
base::FilePath source_root_dir;
base::PathService::Get(base::DIR_SRC_TEST_DATA_ROOT, &source_root_dir);
// A model of `add` operator.
model_file_path_ = source_root_dir.AppendASCII("components")
.AppendASCII("test")
.AppendASCII("data")
.AppendASCII("omnibox")
.AppendASCII("adder.tflite");
}
void TearDown() override {
model_handler_.reset();
model_provider_.reset();
RunUntilIdle();
}
void PushModelFileToModelExecutor(
std::optional<optimization_guide::proto::AutocompleteScoringModelMetadata>
metadata) {
std::optional<optimization_guide::proto::Any> any;
// Craft a correct Any proto in the case we passed in metadata.
if (metadata) {
std::string serialized_metadata;
metadata->SerializeToString(&serialized_metadata);
optimization_guide::proto::Any any_proto;
any = std::make_optional(any_proto);
any->set_value(serialized_metadata);
any->set_type_url(
"type.googleapis.com/"
"optimization_guide.protos.AutocompleteScoringModelMetadata");
}
auto model_metadata = optimization_guide::TestModelInfoBuilder()
.SetModelMetadata(any)
.SetModelFilePath(model_file_path_)
.SetVersion(123)
.Build();
model_handler_->OnModelUpdated(
optimization_guide::proto::OPTIMIZATION_TARGET_OMNIBOX_URL_SCORING,
*model_metadata);
task_environment_.RunUntilIdle();
}
void RunUntilIdle() { task_environment_.RunUntilIdle(); }
protected:
base::test::TaskEnvironment task_environment_;
std::unique_ptr<optimization_guide::TestOptimizationGuideModelProvider>
model_provider_;
std::unique_ptr<AutocompleteScoringModelHandler> model_handler_;
base::FilePath model_file_path_;
};
TEST_F(AutocompleteScoringModelHandlerTest,
ExtractInputFromScoringSignalsTest) {
// Metadata with scoring signal specifications.
AutocompleteScoringModelMetadata model_metadata;
*model_metadata.add_scoring_signal_specs() = CreateScoringSignalSpec(
optimization_guide::proto::SCORING_SIGNAL_TYPE_LENGTH_OF_URL);
model_metadata.mutable_scoring_signal_specs(0)->set_norm_upper_boundary(50);
// Signal with log2 transformation.
*model_metadata.add_scoring_signal_specs() = CreateScoringSignalSpec(
optimization_guide::proto::
SCORING_SIGNAL_TYPE_ELAPSED_TIME_LAST_VISIT_SECS,
/*transformation=*/optimization_guide::proto::
SCORING_SIGNAL_TRANSFORMATION_LOG_2);
*model_metadata.add_scoring_signal_specs() = CreateScoringSignalSpec(
optimization_guide::proto::
SCORING_SIGNAL_TYPE_ELAPSED_TIME_LAST_VISIT_DAYS);
// Invalid signal.
*model_metadata.add_scoring_signal_specs() = CreateScoringSignalSpec(
optimization_guide::proto::
SCORING_SIGNAL_TYPE_ELAPSED_TIME_LAST_SHORTCUT_VISIT_SEC,
/*transformation=*/std::nullopt,
/*min_val=*/0, /*max_val=*/std::nullopt, /*missing_val=*/-2);
// Clamped by upper boundary.
*model_metadata.add_scoring_signal_specs() = CreateScoringSignalSpec(
optimization_guide::proto::SCORING_SIGNAL_TYPE_TYPED_COUNT);
model_metadata.mutable_scoring_signal_specs(4)->set_norm_upper_boundary(100);
*model_metadata.add_scoring_signal_specs() = CreateScoringSignalSpec(
optimization_guide::proto::
SCORING_SIGNAL_TYPE_MATCHES_TITLE_OR_HOST_OR_SHORTCUT_TEXT);
*model_metadata.add_scoring_signal_specs() = CreateScoringSignalSpec(
optimization_guide::proto::
SCORING_SIGNAL_TYPE_NUM_INPUT_TERMS_MATCHED_BY_BOOKMARK_TITLE);
*model_metadata.add_scoring_signal_specs() = CreateScoringSignalSpec(
optimization_guide::proto::SCORING_SIGNAL_TYPE_SITE_ENGAGEMENT);
*model_metadata.add_scoring_signal_specs() = CreateScoringSignalSpec(
optimization_guide::proto::SCORING_SIGNAL_TYPE_SEARCH_SUGGEST_RELEVANCE);
*model_metadata.add_scoring_signal_specs() = CreateScoringSignalSpec(
optimization_guide::proto::SCORING_SIGNAL_TYPE_IS_SEARCH_SUGGEST_ENTITY);
*model_metadata.add_scoring_signal_specs() = CreateScoringSignalSpec(
optimization_guide::proto::SCORING_SIGNAL_TYPE_IS_VERBATIM);
*model_metadata.add_scoring_signal_specs() = CreateScoringSignalSpec(
optimization_guide::proto::SCORING_SIGNAL_TYPE_IS_NAVSUGGEST);
*model_metadata.add_scoring_signal_specs() = CreateScoringSignalSpec(
optimization_guide::proto::SCORING_SIGNAL_TYPE_IS_SEARCH_SUGGEST_TAIL);
*model_metadata.add_scoring_signal_specs() = CreateScoringSignalSpec(
optimization_guide::proto::SCORING_SIGNAL_TYPE_IS_ANSWER_SUGGEST);
*model_metadata.add_scoring_signal_specs() = CreateScoringSignalSpec(
optimization_guide::proto::SCORING_SIGNAL_TYPE_IS_CALCULATOR_SUGGEST);
// Scoring signals.
ScoringSignals scoring_signals;
scoring_signals.set_length_of_url(10);
scoring_signals.set_elapsed_time_last_visit_secs(32767);
scoring_signals.set_elapsed_time_last_shortcut_visit_sec(-200);
scoring_signals.set_typed_count(150);
scoring_signals.set_num_input_terms_matched_by_bookmark_title(10);
scoring_signals.set_site_engagement(50);
scoring_signals.set_search_suggest_relevance(1234);
scoring_signals.set_is_search_suggest_entity(true);
scoring_signals.set_is_verbatim(false);
scoring_signals.set_is_navsuggest(false);
scoring_signals.set_is_search_suggest_tail(false);
scoring_signals.set_is_answer_suggest(false);
scoring_signals.set_is_calculator_suggest(false);
auto input_signals = model_handler_->ExtractInputFromScoringSignals(
scoring_signals, model_metadata);
ASSERT_EQ(input_signals.size(), 15u);
EXPECT_THAT(input_signals[0], 0.2); // Normalized signal.
EXPECT_THAT(input_signals[1], 15);
EXPECT_NEAR(input_signals[2], 0.3792, 0.0001);
EXPECT_THAT(input_signals[3], -2);
EXPECT_NEAR(input_signals[4], 1.0f, 0.0001); // Clamped and normalized.
// `matches_title_or_host_or_shortcut_text` is derived from host or title
// match length and shortcut visit count. Expect it to be false until those
// values are set.
EXPECT_THAT(input_signals[5], 0);
scoring_signals.set_total_host_match_length(20);
scoring_signals.set_total_title_match_length(0);
scoring_signals.set_shortcut_visit_count(1);
input_signals = model_handler_->ExtractInputFromScoringSignals(
scoring_signals, model_metadata);
EXPECT_THAT(input_signals[5], 1);
EXPECT_THAT(input_signals[6], 10);
EXPECT_THAT(input_signals[7], 50);
EXPECT_THAT(input_signals[8], 1234);
EXPECT_THAT(input_signals[9], 1);
EXPECT_THAT(input_signals[10], 0);
EXPECT_THAT(input_signals[11], 0);
EXPECT_THAT(input_signals[12], 0);
EXPECT_THAT(input_signals[13], 0);
EXPECT_THAT(input_signals[14], 0);
}
TEST_F(AutocompleteScoringModelHandlerTest, GetBatchModelInputTest) {
AutocompleteScoringModelMetadata model_metadata;
*model_metadata.add_scoring_signal_specs() = CreateScoringSignalSpec(
optimization_guide::proto::SCORING_SIGNAL_TYPE_LENGTH_OF_URL);
PushModelFileToModelExecutor(model_metadata);
std::vector<const ScoringSignals*> scoring_signals_vec;
// Scoring signals.
ScoringSignals scoring_signals_1, scoring_signals_2;
scoring_signals_1.set_length_of_url(10);
scoring_signals_vec.push_back(&scoring_signals_1);
scoring_signals_2.set_length_of_url(12);
scoring_signals_vec.push_back(&scoring_signals_2);
const std::optional<std::vector<std::vector<float>>> batch_model_input =
model_handler_->GetBatchModelInput(scoring_signals_vec);
ASSERT_TRUE(batch_model_input);
ASSERT_EQ(batch_model_input->size(), 2u);
EXPECT_THAT(batch_model_input->at(0), testing::UnorderedElementsAre(10));
EXPECT_THAT(batch_model_input->at(1), testing::UnorderedElementsAre(12));
}
|