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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.
#ifndef COMPONENTS_OMNIBOX_BROWSER_AUTOCOMPLETE_SCORING_MODEL_SERVICE_H_
#define COMPONENTS_OMNIBOX_BROWSER_AUTOCOMPLETE_SCORING_MODEL_SERVICE_H_
#include <memory>
#include <optional>
#include <vector>
#include "base/containers/lru_cache.h"
#include "base/functional/callback.h"
#include "base/memory/scoped_refptr.h"
#include "base/task/cancelable_task_tracker.h"
#include "base/task/sequenced_task_runner.h"
#include "components/keyed_service/core/keyed_service.h"
#include "components/omnibox/browser/autocomplete_scoring_model_executor.h"
#include "components/omnibox/browser/autocomplete_scoring_model_handler.h"
#include "components/optimization_guide/core/delivery/optimization_guide_model_provider.h"
#include "third_party/metrics_proto/omnibox_scoring_signals.pb.h"
// Autocomplete scoring service using machine learning models via
// OptimizationGuide's model handler.
class AutocompleteScoringModelService : public KeyedService {
public:
using Result = std::optional<float>;
using ModelOutput = AutocompleteScoringModelExecutor::ModelOutput;
using ScoringSignals = ::metrics::OmniboxScoringSignals;
explicit AutocompleteScoringModelService(
optimization_guide::OptimizationGuideModelProvider* model_provider);
~AutocompleteScoringModelService() override;
// Disallow copy/assign.
AutocompleteScoringModelService(const AutocompleteScoringModelService&) =
delete;
AutocompleteScoringModelService& operator=(
const AutocompleteScoringModelService&) = delete;
// Passthrough to
// `AutocompleteScoringModelHandler::AddOnModelUpdatedCallback()`.
void AddOnModelUpdatedCallback(base::OnceClosure callback);
// Returns the version from the model info.
int GetModelVersion() const;
// Synchronous batch scoring. Returns a vector of batch results.
// Returns an empty vector if model is not available or the input signals are
// invalid.
virtual std::vector<Result> BatchScoreAutocompleteUrlMatchesSync(
const std::vector<const ScoringSignals*>& batch_scoring_signals);
private:
// Returns whether the scoring model is enabled and loaded.
bool UrlScoringModelAvailable();
scoped_refptr<base::SequencedTaskRunner> model_executor_task_runner_;
// Autocomplete URL scoring model.
std::unique_ptr<AutocompleteScoringModelHandler> url_scoring_model_handler_;
// Cache mapping each ML model input vector to the corresponding ML model
// output score.
base::LRUCache<std::vector<float>, float> score_cache_;
base::WeakPtrFactory<AutocompleteScoringModelService> weak_ptr_factory_{this};
};
#endif // COMPONENTS_OMNIBOX_BROWSER_AUTOCOMPLETE_SCORING_MODEL_SERVICE_H_
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