107 lines
4.6 KiB
Java
107 lines
4.6 KiB
Java
/*
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* Copyright (C) 2014 The Android Open Source Project
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package com.android.inputmethod.latin.utils;
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import android.util.Log;
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import com.android.inputmethod.annotations.UsedForTesting;
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import com.android.inputmethod.latin.NgramContext;
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import com.android.inputmethod.latin.common.StringUtils;
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import com.android.inputmethod.latin.define.DecoderSpecificConstants;
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import com.android.inputmethod.latin.settings.SpacingAndPunctuations;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Locale;
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// Note: this class is used as a parameter type of a native method. You should be careful when you
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// rename this class or field name. See BinaryDictionary#addMultipleDictionaryEntriesNative().
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public final class WordInputEventForPersonalization {
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private static final String TAG = WordInputEventForPersonalization.class.getSimpleName();
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private static final boolean DEBUG_TOKEN = false;
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public final int[] mTargetWord;
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public final int mPrevWordsCount;
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public final int[][] mPrevWordArray =
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new int[DecoderSpecificConstants.MAX_PREV_WORD_COUNT_FOR_N_GRAM][];
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public final boolean[] mIsPrevWordBeginningOfSentenceArray =
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new boolean[DecoderSpecificConstants.MAX_PREV_WORD_COUNT_FOR_N_GRAM];
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// Time stamp in seconds.
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public final int mTimestamp;
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@UsedForTesting
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public WordInputEventForPersonalization(final CharSequence targetWord,
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final NgramContext ngramContext, final int timestamp) {
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mTargetWord = StringUtils.toCodePointArray(targetWord);
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mPrevWordsCount = ngramContext.getPrevWordCount();
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ngramContext.outputToArray(mPrevWordArray, mIsPrevWordBeginningOfSentenceArray);
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mTimestamp = timestamp;
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}
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// Process a list of words and return a list of {@link WordInputEventForPersonalization}
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// objects.
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public static ArrayList<WordInputEventForPersonalization> createInputEventFrom(
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final List<String> tokens, final int timestamp,
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final SpacingAndPunctuations spacingAndPunctuations, final Locale locale) {
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final ArrayList<WordInputEventForPersonalization> inputEvents = new ArrayList<>();
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final int N = tokens.size();
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NgramContext ngramContext = NgramContext.EMPTY_PREV_WORDS_INFO;
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for (int i = 0; i < N; ++i) {
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final String tempWord = tokens.get(i);
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if (StringUtils.isEmptyStringOrWhiteSpaces(tempWord)) {
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// just skip this token
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if (DEBUG_TOKEN) {
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Log.d(TAG, "--- isEmptyStringOrWhiteSpaces: \"" + tempWord + "\"");
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}
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continue;
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}
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if (!DictionaryInfoUtils.looksValidForDictionaryInsertion(
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tempWord, spacingAndPunctuations)) {
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if (DEBUG_TOKEN) {
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Log.d(TAG, "--- not looksValidForDictionaryInsertion: \""
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+ tempWord + "\"");
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}
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// Sentence terminator found. Split.
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// TODO: Detect whether the context is beginning-of-sentence.
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ngramContext = NgramContext.EMPTY_PREV_WORDS_INFO;
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continue;
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}
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if (DEBUG_TOKEN) {
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Log.d(TAG, "--- word: \"" + tempWord + "\"");
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}
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final WordInputEventForPersonalization inputEvent =
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detectWhetherVaildWordOrNotAndGetInputEvent(
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ngramContext, tempWord, timestamp, locale);
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if (inputEvent == null) {
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continue;
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}
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inputEvents.add(inputEvent);
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ngramContext = ngramContext.getNextNgramContext(new NgramContext.WordInfo(tempWord));
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}
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return inputEvents;
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}
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private static WordInputEventForPersonalization detectWhetherVaildWordOrNotAndGetInputEvent(
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final NgramContext ngramContext, final String targetWord, final int timestamp,
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final Locale locale) {
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if (locale == null) {
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return null;
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}
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return new WordInputEventForPersonalization(targetWord, ngramContext, timestamp);
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}
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}
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