core/java/android/view/textclassifier/ActionsSuggestionsHelper.java

/*
 * 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.app.Person;
import android.text.TextUtils;
import android.util.ArrayMap;

import com.android.internal.annotations.VisibleForTesting;

import com.google.android.textclassifier.ActionsSuggestionsModel;

import java.util.ArrayDeque;
import java.util.ArrayList;
import java.util.Deque;
import java.util.List;
import java.util.Map;
import java.util.function.Function;
import java.util.stream.Collectors;

/**
 * Helper class for action suggestions.
 *
 * @hide
 */
@VisibleForTesting(visibility = VisibleForTesting.Visibility.PACKAGE)
public final class ActionsSuggestionsHelper {
    private static final int USER_LOCAL = 0;
    private static final int FIRST_NON_LOCAL_USER = 1;

    private ActionsSuggestionsHelper() {}

    /**
     * Converts the messages to a list of native messages object that the model can understand.
     * <p>
     * User id encoding - local user is represented as 0, Other users are numbered according to
     * how far before they spoke last time in the conversation. For example, considering this
     * conversation:
     * <ul>
     * <li> User A: xxx
     * <li> Local user: yyy
     * <li> User B: zzz
     * </ul>
     * User A will be encoded as 2, user B will be encoded as 1 and local user will be encoded as 0.
     */
    public static ActionsSuggestionsModel.ConversationMessage[] toNativeMessages(
            List<ConversationActions.Message> messages,
            Function<CharSequence, String> languageDetector) {
        List<ConversationActions.Message> messagesWithText =
                messages.stream()
                        .filter(message -> !TextUtils.isEmpty(message.getText()))
                        .collect(Collectors.toCollection(ArrayList::new));
        if (messagesWithText.isEmpty()) {
            return new ActionsSuggestionsModel.ConversationMessage[0];
        }
        Deque<ActionsSuggestionsModel.ConversationMessage> nativeMessages = new ArrayDeque<>();
        PersonEncoder personEncoder = new PersonEncoder();
        int size = messagesWithText.size();
        for (int i = size - 1; i >= 0; i--) {
            ConversationActions.Message message = messagesWithText.get(i);
            long referenceTime = message.getReferenceTime() == null
                    ? 0
                    : message.getReferenceTime().toInstant().toEpochMilli();
            nativeMessages.push(new ActionsSuggestionsModel.ConversationMessage(
                    personEncoder.encode(message.getAuthor()),
                    message.getText().toString(), referenceTime,
                    languageDetector.apply(message.getText())));
        }
        return nativeMessages.toArray(
                new ActionsSuggestionsModel.ConversationMessage[nativeMessages.size()]);
    }

    private static final class PersonEncoder {
        private final Map<Person, Integer> mMapping = new ArrayMap<>();
        private int mNextUserId = FIRST_NON_LOCAL_USER;

        private int encode(Person person) {
            if (ConversationActions.Message.PERSON_USER_LOCAL.equals(person)) {
                return USER_LOCAL;
            }
            Integer result = mMapping.get(person);
            if (result == null) {
                mMapping.put(person, mNextUserId);
                result = mNextUserId;
                mNextUserId++;
            }
            return result;
        }
    }
}