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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 "chrome/browser/ash/input_method/suggestions_service_client.h"
#include <optional>
#include "ash/constants/ash_features.h"
#include "base/functional/bind.h"
#include "base/metrics/field_trial_params.h"
#include "base/metrics/histogram_functions.h"
#include "base/metrics/histogram_macros.h"
#include "chrome/browser/ash/input_method/suggestion_enums.h"
#include "chromeos/services/machine_learning/public/cpp/service_connection.h"
namespace ash {
namespace input_method {
namespace {
using ::chromeos::machine_learning::mojom::MultiWordExperimentGroup;
using ::chromeos::machine_learning::mojom::NextWordCompletionCandidate;
using ::chromeos::machine_learning::mojom::TextSuggesterQuery;
using ::chromeos::machine_learning::mojom::TextSuggesterResultPtr;
using ::chromeos::machine_learning::mojom::TextSuggesterSpec;
using ::chromeos::machine_learning::mojom::TextSuggestionCandidatePtr;
using ime::AssistiveSuggestion;
using ime::AssistiveSuggestionMode;
using ime::AssistiveSuggestionType;
constexpr size_t kMaxNumberCharsSent = 100;
MultiWordExperimentGroup GetExperimentGroup(const std::string& finch_trial) {
if (finch_trial == "gboard") {
return MultiWordExperimentGroup::kGboard;
}
if (finch_trial == "gboard_relaxed_a") {
return MultiWordExperimentGroup::kGboardRelaxedA;
}
if (finch_trial == "gboard_relaxed_b") {
return MultiWordExperimentGroup::kGboardRelaxedB;
}
if (finch_trial == "gboard_relaxed_c") {
return MultiWordExperimentGroup::kGboardRelaxedC;
}
if (finch_trial == "gboard_d") {
return MultiWordExperimentGroup::kGboardD;
}
if (finch_trial == "gboard_e") {
return MultiWordExperimentGroup::kGboardE;
}
if (finch_trial == "gboard_f") {
return MultiWordExperimentGroup::kGboardF;
}
return MultiWordExperimentGroup::kGboardE;
}
chromeos::machine_learning::mojom::TextSuggestionMode ToTextSuggestionModeMojom(
AssistiveSuggestionMode suggestion_mode) {
switch (suggestion_mode) {
case AssistiveSuggestionMode::kCompletion:
return chromeos::machine_learning::mojom::TextSuggestionMode::kCompletion;
case AssistiveSuggestionMode::kPrediction:
return chromeos::machine_learning::mojom::TextSuggestionMode::kPrediction;
}
}
std::optional<AssistiveSuggestion> ToAssistiveSuggestion(
const TextSuggestionCandidatePtr& candidate,
const AssistiveSuggestionMode& suggestion_mode) {
if (!candidate->is_multi_word()) {
// TODO(crbug/1146266): Handle emoji suggestions
return std::nullopt;
}
return AssistiveSuggestion{.mode = suggestion_mode,
.type = AssistiveSuggestionType::kMultiWord,
.text = candidate->get_multi_word()->text};
}
std::string TrimText(const std::string& text) {
size_t text_length = text.length();
return text_length > kMaxNumberCharsSent
? text.substr(text_length - kMaxNumberCharsSent)
: text;
}
MultiWordSuggestionType ToSuggestionType(
const ime::AssistiveSuggestionMode& suggestion_mode) {
switch (suggestion_mode) {
case ime::AssistiveSuggestionMode::kCompletion:
return MultiWordSuggestionType::kCompletion;
case ime::AssistiveSuggestionMode::kPrediction:
return MultiWordSuggestionType::kPrediction;
default:
return MultiWordSuggestionType::kUnknown;
}
}
void RecordRequestLatency(base::TimeDelta delta) {
base::UmaHistogramTimes(
"InputMethod.Assistive.CandidateGenerationTime.MultiWord", delta);
}
void RecordPrecedingTextLength(size_t text_length) {
base::UmaHistogramCounts1000(
"InputMethod.Assistive.MultiWord.PrecedingTextLength", text_length);
}
void RecordRequestCandidates(
const ime::AssistiveSuggestionMode& suggestion_mode) {
base::UmaHistogramEnumeration(
"InputMethod.Assistive.MultiWord.RequestCandidates",
ToSuggestionType(suggestion_mode));
}
void RecordEmptyCandidate(const ime::AssistiveSuggestionMode& suggestion_mode) {
UMA_HISTOGRAM_ENUMERATION("InputMethod.Assistive.MultiWord.EmptyCandidate",
ToSuggestionType(suggestion_mode));
}
void RecordCandidatesGenerated(AssistiveSuggestionMode suggestion_mode) {
base::UmaHistogramEnumeration(
"InputMethod.Assistive.MultiWord.CandidatesGenerated",
ToSuggestionType(suggestion_mode));
}
} // namespace
SuggestionsServiceClient::SuggestionsServiceClient() {
std::string field_trial = base::GetFieldTrialParamValueByFeature(
features::kAssistMultiWord, "group");
auto spec = TextSuggesterSpec::New(GetExperimentGroup(field_trial));
chromeos::machine_learning::ServiceConnection::GetInstance()
->GetMachineLearningService()
.LoadTextSuggester(
text_suggester_.BindNewPipeAndPassReceiver(), std::move(spec),
base::BindOnce(&SuggestionsServiceClient::OnTextSuggesterLoaded,
weak_ptr_factory_.GetWeakPtr()));
}
SuggestionsServiceClient::~SuggestionsServiceClient() = default;
void SuggestionsServiceClient::OnTextSuggesterLoaded(
chromeos::machine_learning::mojom::LoadModelResult result) {
text_suggester_loaded_ =
result == chromeos::machine_learning::mojom::LoadModelResult::OK;
}
void SuggestionsServiceClient::RequestSuggestions(
const std::string& preceding_text,
const ime::AssistiveSuggestionMode& suggestion_mode,
const std::vector<ime::DecoderCompletionCandidate>& completion_candidates,
RequestSuggestionsCallback callback) {
if (!IsAvailable()) {
std::move(callback).Run({});
return;
}
RecordPrecedingTextLength(preceding_text.size());
RecordRequestCandidates(suggestion_mode);
auto query = TextSuggesterQuery::New();
query->text = TrimText(preceding_text);
query->suggestion_mode = ToTextSuggestionModeMojom(suggestion_mode);
for (const auto& candidate : completion_candidates) {
auto next_word_candidate = NextWordCompletionCandidate::New();
next_word_candidate->text = candidate.text;
next_word_candidate->normalized_score = candidate.score;
if (next_word_candidate->text.empty()) {
RecordEmptyCandidate(suggestion_mode);
}
query->next_word_candidates.push_back(std::move(next_word_candidate));
}
text_suggester_->Suggest(
std::move(query),
base::BindOnce(&SuggestionsServiceClient::OnSuggestionsReturned,
base::Unretained(this), base::TimeTicks::Now(),
std::move(callback), suggestion_mode));
}
void SuggestionsServiceClient::OnSuggestionsReturned(
base::TimeTicks time_request_was_made,
RequestSuggestionsCallback callback,
AssistiveSuggestionMode suggestion_mode_requested,
chromeos::machine_learning::mojom::TextSuggesterResultPtr result) {
std::vector<AssistiveSuggestion> suggestions;
if (result->candidates.size() > 0) {
RecordCandidatesGenerated(suggestion_mode_requested);
}
for (const auto& candidate : result->candidates) {
auto suggestion =
ToAssistiveSuggestion(std::move(candidate), suggestion_mode_requested);
if (suggestion) {
// Drop any unknown suggestions
suggestions.push_back(suggestion.value());
}
}
RecordRequestLatency(base::TimeTicks::Now() - time_request_was_made);
std::move(callback).Run(suggestions);
}
bool SuggestionsServiceClient::IsAvailable() {
return text_suggester_loaded_;
}
} // namespace input_method
} // namespace ash
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