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// 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 <fuzzer/FuzzedDataProvider.h>
#include <string>
#include "base/files/file_util.h"
#include "base/path_service.h"
#include "base/task/sequenced_task_runner.h"
#include "base/task/thread_pool.h"
#include "base/test/scoped_feature_list.h"
#include "base/test/task_environment.h"
#include "components/browsing_topics/annotator_impl.h"
#include "components/optimization_guide/core/delivery/optimization_guide_model_provider.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/core/optimization_guide_features.h"
#include "components/optimization_guide/proto/models.pb.h"
#include "components/optimization_guide/proto/page_topics_model_metadata.pb.h"
// Sends a fully working model and configuration to the calling observer.
class ModelProvider
: public optimization_guide::TestOptimizationGuideModelProvider {
public:
ModelProvider() = default;
~ModelProvider() override = default;
// optimization_guide::TestOptimizationGuideModelProvider:
void AddObserverForOptimizationTargetModel(
optimization_guide::proto::OptimizationTarget optimization_target,
const std::optional<optimization_guide::proto::Any>& model_metadata,
optimization_guide::OptimizationTargetModelObserver* observer) override {
optimization_guide::proto::Any any_metadata;
any_metadata.set_type_url(
"type.googleapis.com/com.foo.PageTopicsModelMetadata");
optimization_guide::proto::PageTopicsModelMetadata
page_topics_model_metadata;
page_topics_model_metadata.set_version(123);
page_topics_model_metadata.add_supported_output(
optimization_guide::proto::PAGE_TOPICS_SUPPORTED_OUTPUT_CATEGORIES);
auto* output_params =
page_topics_model_metadata.mutable_output_postprocessing_params();
auto* category_params = output_params->mutable_category_params();
category_params->set_max_categories(5);
category_params->set_min_none_weight(0.8);
category_params->set_min_category_weight(0.1);
category_params->set_min_normalized_weight_within_top_n(0.1);
page_topics_model_metadata.SerializeToString(any_metadata.mutable_value());
base::FilePath source_root_dir;
base::PathService::Get(base::DIR_SRC_TEST_DATA_ROOT, &source_root_dir);
base::FilePath model_file_path =
source_root_dir.AppendASCII("components")
.AppendASCII("test")
.AppendASCII("data")
.AppendASCII("browsing_topics")
.AppendASCII("golden_data_model.tflite");
std::unique_ptr<optimization_guide::ModelInfo> model_info =
optimization_guide::TestModelInfoBuilder()
.SetModelFilePath(model_file_path)
.SetModelMetadata(any_metadata)
.Build();
observer->OnModelUpdated(
optimization_guide::proto::OPTIMIZATION_TARGET_PAGE_TOPICS_V2,
*model_info);
}
};
// An AnnotatorImpl that never unloads the model, thus keeping the executions
// per second high.
class TestAnnotator : public browsing_topics::AnnotatorImpl {
public:
TestAnnotator(
optimization_guide::OptimizationGuideModelProvider* model_provider,
scoped_refptr<base::SequencedTaskRunner> background_task_runner,
const std::optional<optimization_guide::proto::Any>& model_metadata)
: browsing_topics::AnnotatorImpl(model_provider,
std::move(background_task_runner),
model_metadata) {}
protected:
// AnnotatorImpl:
void UnloadModel() override {
// Do nothing so that the model stays loaded.
}
};
// Static test fixture to maintain the state needed to run repeated fuzz tests.
class AnnotatorFuzzerTest {
public:
explicit AnnotatorFuzzerTest()
: annotator_(std::make_unique<TestAnnotator>(
&model_provider_,
task_environment_.GetMainThreadTaskRunner(),
std::nullopt)) {
scoped_feature_list_.InitAndDisableFeature(
optimization_guide::features::kPreventLongRunningPredictionModels);
}
~AnnotatorFuzzerTest() {
annotator_.reset();
// To prevent ASAN issues, ensure the ModelExecutor gets destroyed since
// that is done using a DeleteSoon PostTask.
task_environment_.RunUntilIdle();
}
browsing_topics::Annotator* annotator() { return annotator_.get(); }
void RunUntilIdle() { task_environment_.RunUntilIdle(); }
private:
base::test::TaskEnvironment task_environment_;
base::test::ScopedFeatureList scoped_feature_list_;
ModelProvider model_provider_;
std::unique_ptr<browsing_topics::AnnotatorImpl> annotator_;
};
extern "C" int LLVMFuzzerTestOneInput(const uint8_t* data, size_t size) {
static AnnotatorFuzzerTest test;
static bool had_successful_run = false;
std::string input(reinterpret_cast<const char*>(data), size);
base::RunLoop run_loop;
test.annotator()->BatchAnnotate(
base::BindOnce(
[](base::RunLoop* run_loop,
const std::vector<browsing_topics::Annotation>& annotations) {
if (!annotations[0].topics.empty() && !had_successful_run) {
had_successful_run = true;
// Print a single debug message so that its obvious things are
// working (or able to at least once) when running locally.
LOG(INFO) << "Congrats! Got a successful model execution. This "
"message will not be printed again.";
}
run_loop->Quit();
},
&run_loop),
{input});
run_loop.Run();
// The model executor does some PostTask'ing to manage its state. While these
// tasks are not important for fuzzing, we don't want to queue up a ton of
// them.
test.RunUntilIdle();
return 0;
}
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