[go: nahoru, domu]

blob: a858c98f421383ec15c7b60685aea28a0d3d3906 [file] [log] [blame]
// 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 "base/run_loop.h"
#include "base/test/bind.h"
#include "base/test/metrics/histogram_tester.h"
#include "chrome/browser/ash/input_method/suggestion_enums.h"
#include "chromeos/services/machine_learning/public/cpp/fake_service_connection.h"
#include "chromeos/services/machine_learning/public/mojom/text_suggester.mojom.h"
#include "content/public/test/browser_task_environment.h"
#include "testing/gtest/include/gtest/gtest.h"
namespace ash {
namespace input_method {
namespace {
namespace machine_learning = ::chromeos::machine_learning;
using ime::AssistiveSuggestion;
using ime::AssistiveSuggestionMode;
using ime::AssistiveSuggestionType;
using ime::DecoderCompletionCandidate;
machine_learning::mojom::TextSuggesterResultPtr NoCandidate() {
auto result = machine_learning::mojom::TextSuggesterResult::New();
result->status = machine_learning::mojom::TextSuggesterResult::Status::OK;
return result;
}
machine_learning::mojom::TextSuggesterResultPtr SingleCandidate(
const std::string& text,
float score) {
auto result = machine_learning::mojom::TextSuggesterResult::New();
result->status = machine_learning::mojom::TextSuggesterResult::Status::OK;
auto multi_word = machine_learning::mojom::MultiWordSuggestionCandidate::New(
/*text=*/text, /*normalized_score=*/score);
result->candidates.emplace_back(
machine_learning::mojom::TextSuggestionCandidate::NewMultiWord(
std::move(multi_word)));
return result;
}
class SuggestionsServiceClientTest : public testing::Test {
public:
SuggestionsServiceClientTest() {
machine_learning::ServiceConnection::UseFakeServiceConnectionForTesting(
&fake_service_connection_);
machine_learning::ServiceConnection::GetInstance()->Initialize();
// After initializing a client, we need to wait for any pending tasks to
// resolve (ie. the task to connect to the fake service connection).
client_ = std::make_unique<SuggestionsServiceClient>();
base::RunLoop().RunUntilIdle();
}
protected:
void SetTextSuggesterResult(
machine_learning::mojom::TextSuggesterResultPtr result) {
fake_service_connection_.SetOutputTextSuggesterResult(std::move(result));
}
void WaitForResults() { base::RunLoop().RunUntilIdle(); }
SuggestionsServiceClient* client() { return client_.get(); }
private:
content::BrowserTaskEnvironment task_environment_;
machine_learning::FakeServiceConnectionImpl fake_service_connection_;
std::unique_ptr<SuggestionsServiceClient> client_;
};
TEST_F(SuggestionsServiceClientTest, ReturnsCompletionResultsFromMojoService) {
SetTextSuggesterResult(SingleCandidate("hi there completion", 0.5f));
std::vector<AssistiveSuggestion> returned_results;
client()->RequestSuggestions(
/*preceding_text=*/"this is some text",
/*suggestion_mode=*/AssistiveSuggestionMode::kCompletion,
/*completion_candidates=*/std::vector<DecoderCompletionCandidate>{},
/*callback=*/
base::BindLambdaForTesting(
[&](const std::vector<AssistiveSuggestion>& results) {
returned_results = results;
}));
WaitForResults();
std::vector<AssistiveSuggestion> expected_results = {
AssistiveSuggestion{.mode = AssistiveSuggestionMode::kCompletion,
.type = AssistiveSuggestionType::kMultiWord,
.text = "hi there completion"},
};
EXPECT_EQ(returned_results, expected_results);
}
TEST_F(SuggestionsServiceClientTest, ReturnsPredictionResultsFromMojoService) {
SetTextSuggesterResult(SingleCandidate("hi there prediction", 0.5f));
std::vector<AssistiveSuggestion> returned_results;
client()->RequestSuggestions(
/*preceding_text=*/"this is some text",
/*suggestion_mode=*/AssistiveSuggestionMode::kPrediction,
/*completion_candidates=*/std::vector<DecoderCompletionCandidate>{},
/*callback=*/
base::BindLambdaForTesting(
[&](const std::vector<AssistiveSuggestion>& results) {
returned_results = results;
}));
WaitForResults();
std::vector<AssistiveSuggestion> expected_results = {
AssistiveSuggestion{.mode = AssistiveSuggestionMode::kPrediction,
.type = AssistiveSuggestionType::kMultiWord,
.text = "hi there prediction"},
};
EXPECT_EQ(returned_results, expected_results);
}
TEST_F(SuggestionsServiceClientTest, RecordsCandidateGenerationTimePerRequest) {
SetTextSuggesterResult(SingleCandidate("hi there prediction", 0.5f));
base::HistogramTester histogram_tester;
histogram_tester.ExpectTotalCount(
"InputMethod.Assistive.CandidateGenerationTime.MultiWord", 0);
client()->RequestSuggestions(
/*preceding_text=*/"this is some text",
/*suggestion_mode=*/AssistiveSuggestionMode::kPrediction,
/*completion_candidates=*/std::vector<DecoderCompletionCandidate>{},
/*callback=*/
base::BindLambdaForTesting(
[&](const std::vector<AssistiveSuggestion>& results) {}));
WaitForResults();
histogram_tester.ExpectTotalCount(
"InputMethod.Assistive.CandidateGenerationTime.MultiWord", 1);
}
TEST_F(SuggestionsServiceClientTest, RecordsPrecedingTextLengthPerRequest) {
SetTextSuggesterResult(SingleCandidate("hi there prediction", 0.5f));
std::string preceding_text =
"This is some text that is very long, so long in fact it should be "
"greater then 100 chars which is the limit currently set when "
"trimming text sent to the suggestion service.";
base::HistogramTester histogram_tester;
histogram_tester.ExpectTotalCount(
"InputMethod.Assistive.MultiWord.PrecedingTextLength", 0);
client()->RequestSuggestions(
/*preceding_text=*/preceding_text,
/*suggestion_mode=*/AssistiveSuggestionMode::kPrediction,
/*completion_candidates=*/std::vector<DecoderCompletionCandidate>{},
/*callback=*/
base::BindLambdaForTesting(
[&](const std::vector<AssistiveSuggestion>& results) {}));
WaitForResults();
histogram_tester.ExpectTotalCount(
"InputMethod.Assistive.MultiWord.PrecedingTextLength", 1);
histogram_tester.ExpectUniqueSample(
"InputMethod.Assistive.MultiWord.PrecedingTextLength",
/*sample=*/preceding_text.size(), /*expected_bucket_count=*/1);
}
TEST_F(SuggestionsServiceClientTest, RecordsRequestCandidatesForCompletion) {
SetTextSuggesterResult(SingleCandidate("hi there completion", 0.5f));
base::HistogramTester histogram_tester;
histogram_tester.ExpectTotalCount(
"InputMethod.Assistive.MultiWord.RequestCandidates", 0);
client()->RequestSuggestions(
/*preceding_text=*/"hello",
/*suggestion_mode=*/AssistiveSuggestionMode::kCompletion,
/*completion_candidates=*/std::vector<DecoderCompletionCandidate>{},
/*callback=*/
base::BindLambdaForTesting(
[&](const std::vector<AssistiveSuggestion>& results) {}));
WaitForResults();
histogram_tester.ExpectTotalCount(
"InputMethod.Assistive.MultiWord.RequestCandidates", 1);
histogram_tester.ExpectUniqueSample(
"InputMethod.Assistive.MultiWord.RequestCandidates",
/*sample=*/MultiWordSuggestionType::kCompletion,
/*expected_bucket_count=*/1);
}
TEST_F(SuggestionsServiceClientTest, RecordsRequestCandidatesForPrediction) {
SetTextSuggesterResult(SingleCandidate("hi there prediction", 0.5f));
base::HistogramTester histogram_tester;
histogram_tester.ExpectTotalCount(
"InputMethod.Assistive.MultiWord.RequestCandidates", 0);
client()->RequestSuggestions(
/*preceding_text=*/"hello",
/*suggestion_mode=*/AssistiveSuggestionMode::kPrediction,
/*completion_candidates=*/std::vector<DecoderCompletionCandidate>{},
/*callback=*/
base::BindLambdaForTesting(
[&](const std::vector<AssistiveSuggestion>& results) {}));
WaitForResults();
histogram_tester.ExpectTotalCount(
"InputMethod.Assistive.MultiWord.RequestCandidates", 1);
histogram_tester.ExpectUniqueSample(
"InputMethod.Assistive.MultiWord.RequestCandidates",
/*sample=*/MultiWordSuggestionType::kPrediction,
/*expected_bucket_count=*/1);
}
TEST_F(SuggestionsServiceClientTest,
DoesNotRecordCandidatesGeneratedWhenNoneReturnedForPrediction) {
SetTextSuggesterResult(NoCandidate());
base::HistogramTester histogram_tester;
histogram_tester.ExpectTotalCount(
"InputMethod.Assistive.MultiWord.CandidatesGenerated", 0);
client()->RequestSuggestions(
/*preceding_text=*/"hello",
/*suggestion_mode=*/AssistiveSuggestionMode::kPrediction,
/*completion_candidates=*/std::vector<DecoderCompletionCandidate>{},
/*callback=*/
base::BindLambdaForTesting(
[&](const std::vector<AssistiveSuggestion>& results) {}));
WaitForResults();
histogram_tester.ExpectTotalCount(
"InputMethod.Assistive.MultiWord.CandidatesGenerated", 0);
}
TEST_F(SuggestionsServiceClientTest,
DoesNotRecordCandidatesGeneratedWhenNoneReturnedForCompletion) {
SetTextSuggesterResult(NoCandidate());
base::HistogramTester histogram_tester;
histogram_tester.ExpectTotalCount(
"InputMethod.Assistive.MultiWord.CandidatesGenerated", 0);
client()->RequestSuggestions(
/*preceding_text=*/"hello",
/*suggestion_mode=*/AssistiveSuggestionMode::kCompletion,
/*completion_candidates=*/std::vector<DecoderCompletionCandidate>{},
/*callback=*/
base::BindLambdaForTesting(
[&](const std::vector<AssistiveSuggestion>& results) {}));
WaitForResults();
histogram_tester.ExpectTotalCount(
"InputMethod.Assistive.MultiWord.CandidatesGenerated", 0);
}
TEST_F(SuggestionsServiceClientTest,
RecordsCandidatesGeneratedWhenCandidateReturnedForPrediction) {
SetTextSuggesterResult(SingleCandidate("hi there prediction", 0.5f));
base::HistogramTester histogram_tester;
histogram_tester.ExpectTotalCount(
"InputMethod.Assistive.MultiWord.CandidatesGenerated", 0);
client()->RequestSuggestions(
/*preceding_text=*/"hello",
/*suggestion_mode=*/AssistiveSuggestionMode::kPrediction,
/*completion_candidates=*/std::vector<DecoderCompletionCandidate>{},
/*callback=*/
base::BindLambdaForTesting(
[&](const std::vector<AssistiveSuggestion>& results) {}));
WaitForResults();
histogram_tester.ExpectTotalCount(
"InputMethod.Assistive.MultiWord.CandidatesGenerated", 1);
histogram_tester.ExpectUniqueSample(
"InputMethod.Assistive.MultiWord.CandidatesGenerated",
/*sample=*/MultiWordSuggestionType::kPrediction,
/*expected_bucket_count=*/1);
}
TEST_F(SuggestionsServiceClientTest,
RecordsCandidatesGeneratedWhenCandidateReturnedForCompletion) {
SetTextSuggesterResult(SingleCandidate("hi there completion", 0.5f));
base::HistogramTester histogram_tester;
histogram_tester.ExpectTotalCount(
"InputMethod.Assistive.MultiWord.CandidatesGenerated", 0);
client()->RequestSuggestions(
/*preceding_text=*/"hello",
/*suggestion_mode=*/AssistiveSuggestionMode::kCompletion,
/*completion_candidates=*/std::vector<DecoderCompletionCandidate>{},
/*callback=*/
base::BindLambdaForTesting(
[&](const std::vector<AssistiveSuggestion>& results) {}));
WaitForResults();
histogram_tester.ExpectTotalCount(
"InputMethod.Assistive.MultiWord.CandidatesGenerated", 1);
histogram_tester.ExpectUniqueSample(
"InputMethod.Assistive.MultiWord.CandidatesGenerated",
/*sample=*/MultiWordSuggestionType::kCompletion,
/*expected_bucket_count=*/1);
}
TEST_F(SuggestionsServiceClientTest,
RecordsEmptyCandidateTextWhenCandidateTextMissing) {
SetTextSuggesterResult(SingleCandidate("hi there completion", 0.5f));
base::HistogramTester histogram_tester;
histogram_tester.ExpectTotalCount(
"InputMethod.Assistive.MultiWord.EmptyCandidate", 0);
client()->RequestSuggestions(
/*preceding_text=*/"hel",
/*suggestion_mode=*/AssistiveSuggestionMode::kCompletion,
/*completion_candidates=*/
std::vector<DecoderCompletionCandidate>{
DecoderCompletionCandidate{"hello", 0.1f},
DecoderCompletionCandidate{"", 0.01f},
DecoderCompletionCandidate{"", 0.001f},
},
/*callback=*/
base::BindLambdaForTesting(
[&](const std::vector<AssistiveSuggestion>& results) {}));
WaitForResults();
histogram_tester.ExpectTotalCount(
"InputMethod.Assistive.MultiWord.EmptyCandidate", 2);
histogram_tester.ExpectUniqueSample(
"InputMethod.Assistive.MultiWord.EmptyCandidate",
/*sample=*/MultiWordSuggestionType::kCompletion,
/*expected_bucket_count=*/2);
}
} // namespace
} // namespace input_method
} // namespace ash