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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 "components/segmentation_platform/internal/migration/adaptive_toolbar_migration.h"
#include "components/segmentation_platform/internal/metadata/metadata_utils.h"
#include "components/segmentation_platform/internal/metadata/metadata_writer.h"
#include "components/segmentation_platform/public/proto/model_metadata.pb.h"
#include "components/segmentation_platform/public/proto/output_config.pb.h"
#include "components/segmentation_platform/public/proto/segmentation_platform.pb.h"
namespace segmentation_platform::pref_migration_utils {
namespace {
constexpr std::array<const char*, 5> kAdaptiveToolbarModelLabels = {
kAdaptiveToolbarModelLabelNewTab, kAdaptiveToolbarModelLabelShare,
kAdaptiveToolbarModelLabelVoice, kAdaptiveToolbarModelLabelTranslate,
kAdaptiveToolbarModelLabelAddToBookmarks};
proto::OutputConfig CreateOutputConfigForAdaptiveToolbar(Config* config) {
DCHECK(config->segments.size() >= 1);
proto::SegmentationModelMetadata model_metadata;
MetadataWriter writer(&model_metadata);
writer.AddOutputConfigForMultiClassClassifier(
kAdaptiveToolbarModelLabels.begin(), kAdaptiveToolbarModelLabels.size(),
/*top_k_outputs=*/1, /*threshold=*/1);
writer.AddPredictedResultTTLInOutputConfig(
/*top_label_to_ttl_list=*/{},
/*default_ttl=*/config->segment_selection_ttl / base::Days(1),
/*time_unit=*/proto::TimeUnit::DAY);
return model_metadata.output_config();
}
std::vector<float> PopulateModelScoresForAdaptiveToolbar(
Config* config,
const SelectedSegment& old_result) {
std::vector<float> model_scores = {0, 0, 0, 0, 0};
proto::SegmentId segment_id = old_result.segment_id;
switch (segment_id) {
case SegmentId::OPTIMIZATION_TARGET_SEGMENTATION_NEW_TAB:
model_scores[0] = 1;
break;
case SegmentId::OPTIMIZATION_TARGET_SEGMENTATION_SHARE:
model_scores[1] = 1;
break;
case SegmentId::OPTIMIZATION_TARGET_SEGMENTATION_VOICE:
model_scores[2] = 1;
break;
default: // Unknown
break;
}
return model_scores;
}
} // namespace
proto::ClientResult CreateClientResultForAdaptiveToolbar(
Config* config,
const SelectedSegment& old_result) {
proto::ClientResult client_result;
const proto::OutputConfig& output_config =
CreateOutputConfigForAdaptiveToolbar(config);
std::vector<float> model_scores =
PopulateModelScoresForAdaptiveToolbar(config, old_result);
proto::PredictionResult pred_result = metadata_utils::CreatePredictionResult(
model_scores, output_config, /*timestamp=*/base::Time::Now(),
/*model_version=*/1);
return metadata_utils::CreateClientResultFromPredResult(
pred_result, old_result.selection_time);
}
} // namespace segmentation_platform::pref_migration_utils
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