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// Copyright 2022 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/segmentation_platform/internal/selection/request_handler.h"
#include "base/memory/raw_ptr.h"
#include "base/metrics/user_metrics.h"
#include "base/run_loop.h"
#include "base/test/gmock_callback_support.h"
#include "base/test/task_environment.h"
#include "components/segmentation_platform/internal/data_collection/training_data_collector.h"
#include "components/segmentation_platform/internal/metadata/metadata_writer.h"
#include "components/segmentation_platform/internal/post_processor/post_processing_test_utils.h"
#include "components/segmentation_platform/internal/selection/segment_result_provider.h"
#include "components/segmentation_platform/public/config.h"
#include "components/segmentation_platform/public/model_provider.h"
#include "components/segmentation_platform/public/prediction_options.h"
#include "components/segmentation_platform/public/proto/prediction_result.pb.h"
#include "components/segmentation_platform/public/result.h"
#include "components/segmentation_platform/public/trigger.h"
#include "testing/gmock/include/gmock/gmock.h"
#include "testing/gtest/include/gtest/gtest.h"
using testing::_;
using testing::ElementsAre;
using testing::FloatNear;
using testing::Invoke;
using testing::Return;
namespace segmentation_platform {
namespace {
// Test Ids.
const proto::SegmentId kSegmentId =
proto::SegmentId::OPTIMIZATION_TARGET_SEGMENTATION_NEW_TAB;
class MockResultProvider : public SegmentResultProvider {
public:
MOCK_METHOD1(GetSegmentResult,
void(std::unique_ptr<GetResultOptions> options));
};
class MockTrainingDataCollector : public TrainingDataCollector {
public:
MOCK_METHOD0(OnModelMetadataUpdated, void());
MOCK_METHOD0(OnServiceInitialized, void());
MOCK_METHOD0(ReportCollectedContinuousTrainingData, void());
MOCK_METHOD4(
OnDecisionTime,
TrainingRequestId(proto::SegmentId id,
scoped_refptr<InputContext> input_context,
DecisionType type,
absl::optional<ModelProvider::Request> inputs));
MOCK_METHOD4(CollectTrainingData,
void(SegmentId segment_id,
TrainingRequestId request_id,
const TrainingLabels& param,
SuccessCallback callback));
};
proto::PredictionResult CreatePredictionResultWithBinaryClassifier() {
proto::SegmentationModelMetadata model_metadata;
MetadataWriter writer(&model_metadata);
writer.AddOutputConfigForBinaryClassifier(0.5f, "positive_label",
"negative_label");
proto::PredictionResult result;
result.add_result(0.8f);
result.mutable_output_config()->Swap(model_metadata.mutable_output_config());
return result;
}
proto::PredictionResult CreatePredictionResultWithGenericPredictor() {
proto::SegmentationModelMetadata model_metadata;
MetadataWriter writer(&model_metadata);
writer.AddOutputConfigForGenericPredictor({"output1", "output2"});
proto::PredictionResult prediction_result;
prediction_result.add_result(0.8f);
prediction_result.add_result(0.2f);
prediction_result.mutable_output_config()->Swap(
model_metadata.mutable_output_config());
return prediction_result;
}
class RequestHandlerTest : public testing::Test {
public:
RequestHandlerTest() = default;
~RequestHandlerTest() override = default;
void SetUp() override {
base::SetRecordActionTaskRunner(
task_environment_.GetMainThreadTaskRunner());
auto training_data_collector =
std::make_unique<MockTrainingDataCollector>();
training_data_collector_ = training_data_collector.get();
execution_service_.set_training_data_collector_for_testing(
std::move(training_data_collector));
config_ = test_utils::CreateTestConfig("test_client", kSegmentId);
auto provider = std::make_unique<MockResultProvider>();
result_provider_ = provider.get();
request_handler_ = RequestHandler::Create(*config_, std::move(provider),
&execution_service_);
}
void OnGetPredictionResult(base::RepeatingClosure closure,
const RawResult& result) {
EXPECT_EQ(result.status, PredictionStatus::kSucceeded);
EXPECT_NEAR(0.8, result.result.result(0), 0.001);
EXPECT_EQ(result.request_id, TrainingRequestId::FromUnsafeValue(15));
std::move(closure).Run();
}
base::test::TaskEnvironment task_environment_{
base::test::TaskEnvironment::TimeSource::MOCK_TIME};
std::unique_ptr<Config> config_;
ExecutionService execution_service_;
raw_ptr<MockTrainingDataCollector> training_data_collector_;
std::unique_ptr<RequestHandler> request_handler_;
raw_ptr<MockResultProvider> result_provider_ = nullptr;
};
TEST_F(RequestHandlerTest, GetPredictionResult) {
PredictionOptions options;
options.on_demand_execution = true;
EXPECT_CALL(
*training_data_collector_,
OnDecisionTime(kSegmentId, _,
proto::TrainingOutputs::TriggerConfig::ONDEMAND,
absl::make_optional(ModelProvider::Request{1, 2, 3})))
.WillOnce(Return(TrainingRequestId::FromUnsafeValue(15)));
EXPECT_CALL(*result_provider_, GetSegmentResult(_))
.WillOnce(Invoke(
[](std::unique_ptr<SegmentResultProvider::GetResultOptions> options) {
EXPECT_TRUE(options->ignore_db_scores);
EXPECT_EQ(options->segment_id, kSegmentId);
auto result =
std::make_unique<SegmentResultProvider::SegmentResult>(
SegmentResultProvider::ResultState::
kServerModelExecutionScoreUsed,
CreatePredictionResultWithBinaryClassifier(),
/*rank=*/2);
result->model_inputs = {1, 2, 3};
std::move(options->callback).Run(std::move(result));
}));
base::RunLoop loop;
RawResult result(PredictionStatus::kFailed);
request_handler_->GetPredictionResult(
options, scoped_refptr<InputContext>(),
base::BindOnce(&RequestHandlerTest::OnGetPredictionResult,
base::Unretained(this), loop.QuitClosure()));
loop.Run();
}
TEST_F(RequestHandlerTest, GetGenericPredictionResult) {
PredictionOptions options;
options.on_demand_execution = true;
EXPECT_CALL(*training_data_collector_,
OnDecisionTime(kSegmentId, _,
proto::TrainingOutputs::TriggerConfig::ONDEMAND,
absl::make_optional(ModelProvider::Request{1})))
.WillOnce(Return(TrainingRequestId::FromUnsafeValue(15)));
EXPECT_CALL(*result_provider_, GetSegmentResult(_))
.WillOnce(Invoke(
[](std::unique_ptr<SegmentResultProvider::GetResultOptions> options) {
EXPECT_TRUE(options->ignore_db_scores);
EXPECT_EQ(options->segment_id, kSegmentId);
auto result =
std::make_unique<SegmentResultProvider::SegmentResult>(
SegmentResultProvider::ResultState::
kServerModelExecutionScoreUsed,
CreatePredictionResultWithGenericPredictor(),
/*rank=*/2);
result->model_inputs = {1};
std::move(options->callback).Run(std::move(result));
}));
base::RunLoop loop;
RawResult result(PredictionStatus::kFailed);
request_handler_->GetPredictionResult(
options, scoped_refptr<InputContext>(),
base::BindOnce(&RequestHandlerTest::OnGetPredictionResult,
base::Unretained(this), loop.QuitClosure()));
loop.Run();
}
} // namespace
} // namespace segmentation_platform
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