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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/omnibox/browser/autocomplete_scoring_model_service.h"
#include <optional>
#include <utility>
#include "base/functional/callback.h"
#include "base/task/task_traits.h"
#include "base/task/thread_pool.h"
#include "base/trace_event/common/trace_event_common.h"
#include "components/omnibox/browser/autocomplete_scoring_model_executor.h"
#include "components/omnibox/browser/autocomplete_scoring_model_handler.h"
#include "components/omnibox/browser/omnibox_field_trial.h"
#include "components/optimization_guide/core/delivery/optimization_guide_model_provider.h"
#include "components/optimization_guide/proto/autocomplete_scoring_model_metadata.pb.h"
#include "components/optimization_guide/proto/models.pb.h"
namespace {
const char kAutocompleteScoringModelMetadataTypeUrl[] =
"type.googleapis.com/"
"google.internal.chrome.optimizationguide.v1."
"AutocompleteScoringModelMetadata";
// The current version the client supports for the autocomplete scoring model.
// This should be incremented any time we update the client code to add new
// scoring signals beyond those which are currently supported for ML scoring.
extern const int32_t kAutocompleteScoringModelVersion = 2;
void LogMLScoreCacheHit(bool cache_hit) {
base::UmaHistogramBoolean(
"Omnibox.URLScoringModelExecuted.MLScoreCache.CacheHit", cache_hit);
}
} // namespace
AutocompleteScoringModelService::AutocompleteScoringModelService(
optimization_guide::OptimizationGuideModelProvider* model_provider)
: score_cache_(OmniboxFieldTrial::GetMLConfig().max_ml_score_cache_size) {
// `model_provider` may be null for tests.
if (OmniboxFieldTrial::IsUrlScoringModelEnabled() && model_provider) {
model_executor_task_runner_ =
base::SequencedTaskRunner::GetCurrentDefault();
optimization_guide::proto::Any any_metadata;
any_metadata.set_type_url(kAutocompleteScoringModelMetadataTypeUrl);
optimization_guide::proto::AutocompleteScoringModelMetadata model_metadata;
model_metadata.set_version(kAutocompleteScoringModelVersion);
model_metadata.SerializeToString(any_metadata.mutable_value());
url_scoring_model_handler_ =
std::make_unique<AutocompleteScoringModelHandler>(
model_provider, model_executor_task_runner_.get(),
std::make_unique<AutocompleteScoringModelExecutor>(),
optimization_guide::proto::OPTIMIZATION_TARGET_OMNIBOX_URL_SCORING,
/*model_metadata=*/any_metadata);
}
}
AutocompleteScoringModelService::~AutocompleteScoringModelService() = default;
void AutocompleteScoringModelService::AddOnModelUpdatedCallback(
base::OnceClosure callback) {
url_scoring_model_handler_->AddOnModelUpdatedCallback(std::move(callback));
}
int AutocompleteScoringModelService::GetModelVersion() const {
auto info = url_scoring_model_handler_->GetModelInfo();
return info.has_value() ? info->GetVersion() : -1;
}
std::vector<AutocompleteScoringModelService::Result>
AutocompleteScoringModelService::BatchScoreAutocompleteUrlMatchesSync(
const std::vector<const ScoringSignals*>& batch_scoring_signals) {
TRACE_EVENT0(
"omnibox",
"AutocompleteScoringModelService::BatchScoreAutocompleteUrlMatchesSync");
if (!UrlScoringModelAvailable()) {
return {};
}
std::optional<std::vector<std::vector<float>>> batch_model_input =
url_scoring_model_handler_->GetBatchModelInput(batch_scoring_signals);
if (!batch_model_input) {
return {};
}
std::vector<Result> batch_results(batch_model_input->size());
if (OmniboxFieldTrial::GetMLConfig().ml_url_score_caching) {
std::vector<size_t> uncached_positions;
std::vector<std::vector<float>> uncached_inputs;
// Source ML scores from the in-memory cache when possible.
for (size_t i = 0; i < batch_model_input->size(); ++i) {
const auto& model_input = batch_model_input->at(i);
const auto it = score_cache_.Get(model_input);
const bool cache_hit = it != score_cache_.end();
if (cache_hit) {
batch_results[i] = it->second;
} else {
uncached_positions.push_back(i);
uncached_inputs.push_back(model_input);
}
LogMLScoreCacheHit(cache_hit);
}
// Synchronous model execution.
const auto batch_model_output =
url_scoring_model_handler_->BatchExecuteModelWithInputSync(
uncached_inputs);
size_t i = 0;
for (const auto& model_output : batch_model_output) {
batch_results[uncached_positions[i]] =
model_output ? std::make_optional(model_output->at(0)) : std::nullopt;
if (model_output) {
score_cache_.Put(uncached_inputs.at(i), model_output->at(0));
}
++i;
}
} else {
// Synchronous model execution.
const auto batch_model_output =
url_scoring_model_handler_->BatchExecuteModelWithInputSync(
*batch_model_input);
size_t i = 0;
for (const auto& model_output : batch_model_output) {
batch_results[i++] =
model_output ? std::make_optional(model_output->at(0)) : std::nullopt;
}
}
return batch_results;
}
bool AutocompleteScoringModelService::UrlScoringModelAvailable() {
return url_scoring_model_handler_ &&
url_scoring_model_handler_->ModelAvailable();
}
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