blob: af41e1095e779465168f2731ecd46b61b80e0d23 [file] [log] [blame]
// 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/migration_test_utils.h"
#include "components/segmentation_platform/internal/metadata/metadata_writer.h"
#include "components/segmentation_platform/public/constants.h"
#include "components/segmentation_platform/public/proto/model_metadata.pb.h"
namespace segmentation_platform::migration_test_utils {
constexpr std::array<const char*, 5> kAdaptiveToolbarModelLabels = {
kAdaptiveToolbarModelLabelNewTab, kAdaptiveToolbarModelLabelShare,
kAdaptiveToolbarModelLabelVoice, kAdaptiveToolbarModelLabelTranslate,
kAdaptiveToolbarModelLabelAddToBookmarks};
std::unique_ptr<Config> GetTestConfigForBinaryClassifier(
const std::string& segmentation_key,
proto::SegmentId segment_id) {
auto config = std::make_unique<Config>();
config->segmentation_key = segmentation_key;
config->segmentation_uma_name = SegmentationKeyToUmaName(segmentation_key);
config->AddSegmentId(segment_id);
config->segment_selection_ttl = base::Days(7);
config->unknown_selection_ttl = base::Days(7);
config->is_boolean_segment = true;
return config;
}
std::unique_ptr<Config> GetTestConfigForAdaptiveToolbar() {
auto config = std::make_unique<Config>();
config->segmentation_key = kAdaptiveToolbarSegmentationKey;
config->segmentation_uma_name = kAdaptiveToolbarUmaName;
config->segment_selection_ttl = base::Days(7);
config->AddSegmentId(
proto::SegmentId::OPTIMIZATION_TARGET_SEGMENTATION_NEW_TAB);
config->AddSegmentId(
proto::SegmentId::OPTIMIZATION_TARGET_SEGMENTATION_SHARE);
config->AddSegmentId(
proto::SegmentId::OPTIMIZATION_TARGET_SEGMENTATION_VOICE);
return config;
}
proto::OutputConfig GetTestOutputConfigForBinaryClassifier(
proto::SegmentId segment_id) {
proto::SegmentationModelMetadata model_metadata;
MetadataWriter writer(&model_metadata);
writer.AddOutputConfigForBinaryClassifier(
/*threshold=*/0.5,
/*positive_label=*/SegmentIdToHistogramVariant(segment_id),
/*negative_label=*/"Other");
writer.AddPredictedResultTTLInOutputConfig(
/*top_label_to_ttl_list=*/{},
/*default_ttl=*/7,
/*time_unit=*/proto::TimeUnit::DAY);
return model_metadata.output_config();
}
proto::OutputConfig GetTestOutputConfigForAdaptiveToolbar() {
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=*/7,
/*time_unit=*/proto::TimeUnit::DAY);
return model_metadata.output_config();
}
} // namespace segmentation_platform::migration_test_utils