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// Copyright 2021 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/execution/processing/feature_aggregator_impl.h"
#include <cstdint>
#include <optional>
#include <vector>
#include "base/notreached.h"
#include "base/numerics/clamped_math.h"
#include "base/numerics/safe_conversions.h"
#include "base/time/time.h"
#include "components/segmentation_platform/internal/database/signal_database.h"
#include "components/segmentation_platform/internal/database/signal_sample_view.h"
#include "components/segmentation_platform/public/proto/aggregation.pb.h"
#include "components/segmentation_platform/public/proto/types.pb.h"
namespace segmentation_platform::processing {
namespace {
using Sample = SignalDatabase::Sample;
std::vector<SignalSampleView::Entries> Bucketize(
uint64_t bucket_count,
const base::Time& end_time,
const base::TimeDelta& bucket_duration,
const SignalSampleView& samples) {
std::vector<SignalSampleView::Entries> bucketized_samples(bucket_count);
for (auto& sample : samples) {
const base::Time& timestamp = sample.time;
base::TimeDelta time_since_now = end_time - timestamp;
int bucket_index = time_since_now / bucket_duration;
// Ignore out-of-bounds samples.
if (bucket_index < 0 || base::saturated_cast<uint32_t>(bucket_index) >=
bucketized_samples.size()) {
continue;
}
bucketized_samples[bucket_index].emplace_back(sample);
}
return bucketized_samples;
}
int64_t SumValues(proto::SignalType signal_type,
const SignalSampleView& samples) {
if (signal_type == proto::SignalType::USER_ACTION)
return base::saturated_cast<int64_t>(samples.size());
int64_t sum = 0;
for (auto& sample : samples)
sum = base::ClampAdd(sum, sample.value);
return sum;
}
std::vector<float> CountAggregation(const SignalSampleView& samples) {
return {static_cast<float>(samples.size())};
}
std::vector<float> CountBooleanAggregation(const SignalSampleView& samples) {
return {static_cast<float>(samples.size() > 0 ? 1 : 0)};
}
std::vector<float> BucketedCountAggregation(
uint64_t bucket_count,
const base::Time& end_time,
const base::TimeDelta& bucket_duration,
const SignalSampleView& samples) {
auto bucketized_samples =
Bucketize(bucket_count, end_time, bucket_duration, samples);
std::vector<float> tensor_data;
for (auto& bucket : bucketized_samples)
tensor_data.emplace_back(static_cast<float>(bucket.size()));
return tensor_data;
}
std::vector<float> BucketedCountBooleanAggregation(
uint64_t bucket_count,
const base::Time& end_time,
const base::TimeDelta& bucket_duration,
const SignalSampleView& samples) {
auto bucketized_samples =
Bucketize(bucket_count, end_time, bucket_duration, samples);
std::vector<float> tensor_data;
for (auto& bucket : bucketized_samples)
tensor_data.emplace_back(static_cast<float>(bucket.size() > 0 ? 1 : 0));
return tensor_data;
}
std::vector<float> BucketedCountBooleanTrueCountAggregation(
uint64_t bucket_count,
const base::Time& end_time,
const base::TimeDelta& bucket_duration,
const SignalSampleView& samples) {
auto bucketized_samples =
Bucketize(bucket_count, end_time, bucket_duration, samples);
int64_t true_count = 0;
for (auto& bucket : bucketized_samples) {
if (bucket.size() > 0)
true_count = base::ClampAdd(true_count, 1);
}
return {static_cast<float>(true_count)};
}
std::vector<float> BucketedCumulativeCountAggregation(
uint64_t bucket_count,
const base::Time& end_time,
const base::TimeDelta& bucket_duration,
const SignalSampleView& samples) {
auto bucketized_samples =
Bucketize(bucket_count, end_time, bucket_duration, samples);
int64_t cumulative_count = 0;
std::vector<float> tensor_data;
for (auto& bucket : bucketized_samples) {
cumulative_count = base::ClampAdd(cumulative_count, bucket.size());
tensor_data.emplace_back(static_cast<float>(cumulative_count));
}
return tensor_data;
}
std::vector<float> SumAggregation(proto::SignalType signal_type,
const SignalSampleView& samples) {
return {static_cast<float>(SumValues(signal_type, samples))};
}
std::vector<float> SumBooleanAggregation(proto::SignalType signal_type,
const SignalSampleView& samples) {
return SumValues(signal_type, samples) > 0 ? std::vector<float>{1}
: std::vector<float>{0};
}
std::vector<float> BucketedSumAggregation(
proto::SignalType signal_type,
uint64_t bucket_count,
const base::Time& end_time,
const base::TimeDelta& bucket_duration,
const SignalSampleView& samples) {
auto bucketized_samples =
Bucketize(bucket_count, end_time, bucket_duration, samples);
std::vector<float> tensor_data;
for (auto& bucket : bucketized_samples) {
SignalSampleView iter(bucket, std::nullopt);
tensor_data.emplace_back(static_cast<float>(SumValues(signal_type, iter)));
}
return tensor_data;
}
std::vector<float> BucketedSumBooleanAggregation(
proto::SignalType signal_type,
uint64_t bucket_count,
const base::Time& end_time,
const base::TimeDelta& bucket_duration,
const SignalSampleView& samples) {
auto bucketized_samples =
Bucketize(bucket_count, end_time, bucket_duration, samples);
std::vector<float> tensor_data;
for (auto& bucket : bucketized_samples) {
SignalSampleView iter(bucket, std::nullopt);
tensor_data.emplace_back(
static_cast<float>(SumValues(signal_type, iter) > 0 ? 1 : 0));
}
return tensor_data;
}
std::vector<float> BucketedSumBooleanTrueCountAggregation(
proto::SignalType signal_type,
uint64_t bucket_count,
const base::Time& end_time,
const base::TimeDelta& bucket_duration,
const SignalSampleView& samples) {
auto bucketized_samples =
Bucketize(bucket_count, end_time, bucket_duration, samples);
int64_t true_count = 0;
for (auto& bucket : bucketized_samples) {
SignalSampleView iter(bucket, std::nullopt);
if (SumValues(signal_type, iter) > 0) {
true_count = base::ClampAdd(true_count, 1);
}
}
return std::vector<float>{static_cast<float>(true_count)};
}
std::vector<float> BucketedCumulativeSumAggregation(
proto::SignalType signal_type,
uint64_t bucket_count,
const base::Time& end_time,
const base::TimeDelta& bucket_duration,
const SignalSampleView& samples) {
auto bucketized_samples =
Bucketize(bucket_count, end_time, bucket_duration, samples);
int64_t cumulative_sum = 0;
std::vector<float> tensor_data;
for (auto& bucket : bucketized_samples) {
SignalSampleView iter(bucket, std::nullopt);
cumulative_sum =
base::ClampAdd(cumulative_sum, SumValues(signal_type, iter));
tensor_data.emplace_back(static_cast<float>(cumulative_sum));
}
return tensor_data;
}
} // namespace
FeatureAggregatorImpl::FeatureAggregatorImpl() = default;
FeatureAggregatorImpl::~FeatureAggregatorImpl() = default;
std::optional<std::vector<float>> FeatureAggregatorImpl::Process(
proto::SignalType signal_type,
uint64_t name_hash,
proto::Aggregation aggregation,
uint64_t bucket_count,
const base::Time& start_time,
const base::Time& end_time,
const base::TimeDelta& bucket_duration,
const std::vector<int32_t>& accepted_enum_ids,
const std::vector<SignalDatabase::DbEntry>& all_samples) const {
SignalSampleView samples(
all_samples, SignalSampleView::Query(signal_type, name_hash, start_time,
end_time, accepted_enum_ids));
switch (aggregation) {
case proto::Aggregation::UNKNOWN:
NOTREACHED();
case proto::Aggregation::COUNT:
return CountAggregation(samples);
case proto::Aggregation::COUNT_BOOLEAN:
return CountBooleanAggregation(samples);
case proto::Aggregation::BUCKETED_COUNT:
return BucketedCountAggregation(bucket_count, end_time, bucket_duration,
samples);
case proto::Aggregation::BUCKETED_COUNT_BOOLEAN:
return BucketedCountBooleanAggregation(bucket_count, end_time,
bucket_duration, samples);
case proto::Aggregation::BUCKETED_COUNT_BOOLEAN_TRUE_COUNT:
return BucketedCountBooleanTrueCountAggregation(bucket_count, end_time,
bucket_duration, samples);
case proto::Aggregation::BUCKETED_CUMULATIVE_COUNT:
return BucketedCumulativeCountAggregation(bucket_count, end_time,
bucket_duration, samples);
case proto::Aggregation::SUM:
return SumAggregation(signal_type, samples);
case proto::Aggregation::SUM_BOOLEAN:
return SumBooleanAggregation(signal_type, samples);
case proto::Aggregation::BUCKETED_SUM:
return BucketedSumAggregation(signal_type, bucket_count, end_time,
bucket_duration, samples);
case proto::Aggregation::BUCKETED_SUM_BOOLEAN:
return BucketedSumBooleanAggregation(signal_type, bucket_count, end_time,
bucket_duration, samples);
case proto::Aggregation::BUCKETED_SUM_BOOLEAN_TRUE_COUNT:
return BucketedSumBooleanTrueCountAggregation(
signal_type, bucket_count, end_time, bucket_duration, samples);
case proto::Aggregation::BUCKETED_CUMULATIVE_SUM:
return BucketedCumulativeSumAggregation(
signal_type, bucket_count, end_time, bucket_duration, samples);
case proto::Aggregation::LATEST_OR_DEFAULT:
auto it = samples.Last();
if (it == samples.end()) {
// If empty, then latest data cannot be found.
return std::nullopt;
}
return std::vector<float>({static_cast<float>((*it).value)});
}
}
} // namespace segmentation_platform::processing
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