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/*
* Copyright (C) 2018 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package android.view.textclassifier;
import android.content.Context;
import android.perftests.utils.BenchmarkState;
import android.perftests.utils.PerfStatusReporter;
import androidx.test.InstrumentationRegistry;
import androidx.test.filters.LargeTest;
import org.junit.Before;
import org.junit.Rule;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.Random;
@RunWith(Parameterized.class)
@LargeTest
public class TextClassifierPerfTest {
/** Request contains meaning text, rather than garbled text. */
private static final int ACTUAL_REQUEST = 0;
private static final String RANDOM_CHAR_SET = "abcdefghijklmnopqrstuvwxyz0123456789";
@Rule
public PerfStatusReporter mPerfStatusReporter = new PerfStatusReporter();
@Parameterized.Parameters(name = "size{0}")
public static Collection<Object[]> data() {
return Arrays.asList(new Object[][]{{ACTUAL_REQUEST}, {10}, {100}, {1000}});
}
private TextClassifier mTextClassifier;
private final int mSize;
public TextClassifierPerfTest(int size) {
mSize = size;
}
@Before
public void setUp() {
Context context = InstrumentationRegistry.getTargetContext();
TextClassificationManager textClassificationManager =
context.getSystemService(TextClassificationManager.class);
mTextClassifier = textClassificationManager.getTextClassifier(TextClassifier.LOCAL);
}
@Test
public void testSuggestConversationActions() {
String text = mSize == ACTUAL_REQUEST ? "Where are you?" : generateRandomString(mSize);
ConversationActions.Request request = createConversationActionsRequest(text);
BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
while (state.keepRunning()) {
mTextClassifier.suggestConversationActions(request);
}
}
@Test
public void testDetectLanguage() {
String text = mSize == ACTUAL_REQUEST
? "これは日本語のテキストです" : generateRandomString(mSize);
TextLanguage.Request request = createTextLanguageRequest(text);
BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
while (state.keepRunning()) {
mTextClassifier.detectLanguage(request);
}
}
private static ConversationActions.Request createConversationActionsRequest(CharSequence text) {
ConversationActions.Message message =
new ConversationActions.Message.Builder(
ConversationActions.Message.PERSON_USER_OTHERS)
.setText(text)
.build();
return new ConversationActions.Request.Builder(Collections.singletonList(message))
.build();
}
private static TextLanguage.Request createTextLanguageRequest(CharSequence text) {
return new TextLanguage.Request.Builder(text).build();
}
private static String generateRandomString(int length) {
Random random = new Random();
StringBuilder stringBuilder = new StringBuilder(length);
for (int i = 0; i < length; i++) {
int index = random.nextInt(RANDOM_CHAR_SET.length());
stringBuilder.append(RANDOM_CHAR_SET.charAt(index));
}
return stringBuilder.toString();
}
}
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