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// Copyright 2017 The Chromium Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include "components/assist_ranker/base_predictor.h"
#include "base/feature_list.h"
#include "components/assist_ranker/proto/ranker_example.pb.h"
#include "components/assist_ranker/proto/ranker_model.pb.h"
#include "components/assist_ranker/ranker_example_util.h"
#include "components/assist_ranker/ranker_model.h"
#include "services/metrics/public/cpp/ukm_entry_builder.h"
#include "services/metrics/public/cpp/ukm_recorder.h"
#include "url/gurl.h"
namespace assist_ranker {
BasePredictor::BasePredictor(const PredictorConfig& config) : config_(config) {
// TODO(chrome-ranker-team): validate config.
if (config_.field_trial) {
is_query_enabled_ = base::FeatureList::IsEnabled(*config_.field_trial);
} else {
DVLOG(0) << "No field trial specified";
}
}
BasePredictor::~BasePredictor() {}
void BasePredictor::LoadModel(std::unique_ptr<RankerModelLoader> model_loader) {
if (!is_query_enabled_)
return;
if (model_loader_) {
DVLOG(0) << "This predictor already has a model loader.";
return;
}
// Take ownership of the model loader.
model_loader_ = std::move(model_loader);
// Kick off the initial model load.
model_loader_->NotifyOfRankerActivity();
}
void BasePredictor::OnModelAvailable(
std::unique_ptr<assist_ranker::RankerModel> model) {
ranker_model_ = std::move(model);
is_ready_ = Initialize();
}
bool BasePredictor::IsReady() {
if (!is_ready_ && model_loader_)
model_loader_->NotifyOfRankerActivity();
return is_ready_;
}
void BasePredictor::LogFeatureToUkm(const std::string& feature_name,
const Feature& feature,
ukm::UkmEntryBuilder* ukm_builder) {
DCHECK(ukm_builder);
if (!base::ContainsKey(*config_.feature_whitelist, feature_name)) {
DVLOG(1) << "Feature not whitelisted: " << feature_name;
return;
}
switch (feature.feature_type_case()) {
case Feature::kBoolValue:
case Feature::kFloatValue:
case Feature::kInt32Value:
case Feature::kStringValue: {
int64_t feature_int64_value = -1;
FeatureToInt64(feature, &feature_int64_value);
DVLOG(3) << "Logging: " << feature_name << ": " << feature_int64_value;
ukm_builder->SetMetric(feature_name, feature_int64_value);
break;
}
case Feature::kStringList: {
for (int i = 0; i < feature.string_list().string_value_size(); ++i) {
int64_t feature_int64_value = -1;
FeatureToInt64(feature, &feature_int64_value, i);
DVLOG(3) << "Logging: " << feature_name << ": " << feature_int64_value;
ukm_builder->SetMetric(feature_name, feature_int64_value);
}
break;
}
default:
DVLOG(0) << "Could not convert feature to int: " << feature_name;
}
}
void BasePredictor::LogExampleToUkm(const RankerExample& example,
ukm::SourceId source_id) {
if (config_.log_type != LOG_UKM) {
DVLOG(0) << "Wrong log type in predictor config: " << config_.log_type;
return;
}
if (!config_.feature_whitelist) {
DVLOG(0) << "No whitelist specified.";
return;
}
if (config_.feature_whitelist->empty()) {
DVLOG(0) << "Empty whitelist, examples will not be logged.";
return;
}
ukm::UkmEntryBuilder builder(source_id, config_.logging_name);
for (const auto& feature_kv : example.features()) {
LogFeatureToUkm(feature_kv.first, feature_kv.second, &builder);
}
builder.Record(ukm::UkmRecorder::Get());
}
std::string BasePredictor::GetModelName() const {
return config_.model_name;
}
GURL BasePredictor::GetModelUrl() const {
if (!config_.field_trial_url_param) {
DVLOG(1) << "No URL specified.";
return GURL();
}
return GURL(config_.field_trial_url_param->Get());
}
RankerExample BasePredictor::PreprocessExample(const RankerExample& example) {
if (ranker_model_->proto().has_metadata() &&
ranker_model_->proto().metadata().input_features_names_are_hex_hashes()) {
return HashExampleFeatureNames(example);
}
return example;
}
} // namespace assist_ranker
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