inputmethod/latin/Suggest.java

/*
 * Copyright (C) 2008 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 com.android.inputmethod.latin;

import android.text.TextUtils;

import com.android.inputmethod.keyboard.ProximityInfo;
import com.android.inputmethod.latin.SuggestedWords.SuggestedWordInfo;
import com.android.inputmethod.latin.define.ProductionFlag;
import com.android.inputmethod.latin.utils.AutoCorrectionUtils;
import com.android.inputmethod.latin.utils.BinaryDictionaryUtils;
import com.android.inputmethod.latin.utils.StringUtils;
import com.android.inputmethod.latin.utils.SuggestionResults;

import java.util.ArrayList;
import java.util.Locale;

/**
 * This class loads a dictionary and provides a list of suggestions for a given sequence of
 * characters. This includes corrections and completions.
 */
public final class Suggest {
    public static final String TAG = Suggest.class.getSimpleName();

    // Session id for
    // {@link #getSuggestedWords(WordComposer,String,ProximityInfo,boolean,int)}.
    // We are sharing the same ID between typing and gesture to save RAM footprint.
    public static final int SESSION_TYPING = 0;
    public static final int SESSION_GESTURE = 0;

    // TODO: rename this to CORRECTION_OFF
    public static final int CORRECTION_NONE = 0;
    // TODO: rename this to CORRECTION_ON
    public static final int CORRECTION_FULL = 1;

    // Close to -2**31
    private static final int SUPPRESS_SUGGEST_THRESHOLD = -2000000000;

    private static final boolean DBG = LatinImeLogger.sDBG;
    private final DictionaryFacilitator mDictionaryFacilitator;

    private float mAutoCorrectionThreshold;

    public Suggest(final DictionaryFacilitator dictionaryFacilitator) {
        mDictionaryFacilitator = dictionaryFacilitator;
    }

    public Locale getLocale() {
        return mDictionaryFacilitator.getLocale();
    }

    public void setAutoCorrectionThreshold(final float threshold) {
        mAutoCorrectionThreshold = threshold;
    }

    public interface OnGetSuggestedWordsCallback {
        public void onGetSuggestedWords(final SuggestedWords suggestedWords);
    }

    public void getSuggestedWords(final WordComposer wordComposer,
            final PrevWordsInfo prevWordsInfo, final ProximityInfo proximityInfo,
            final boolean blockOffensiveWords, final boolean isCorrectionEnabled,
            final int[] additionalFeaturesOptions, final int sessionId, final int sequenceNumber,
            final OnGetSuggestedWordsCallback callback) {
        if (wordComposer.isBatchMode()) {
            getSuggestedWordsForBatchInput(wordComposer, prevWordsInfo, proximityInfo,
                    blockOffensiveWords, additionalFeaturesOptions, sessionId, sequenceNumber,
                    callback);
        } else {
            getSuggestedWordsForTypingInput(wordComposer, prevWordsInfo, proximityInfo,
                    blockOffensiveWords, isCorrectionEnabled, additionalFeaturesOptions,
                    sequenceNumber, callback);
        }
    }

    private static ArrayList<SuggestedWordInfo> getTransformedSuggestedWordInfoList(
            final WordComposer wordComposer, final SuggestionResults results,
            final int trailingSingleQuotesCount) {
        final boolean shouldMakeSuggestionsAllUpperCase = wordComposer.isAllUpperCase()
                && !wordComposer.isResumed();
        final boolean isOnlyFirstCharCapitalized =
                wordComposer.isOrWillBeOnlyFirstCharCapitalized();

        final ArrayList<SuggestedWordInfo> suggestionsContainer = new ArrayList<>(results);
        final int suggestionsCount = suggestionsContainer.size();
        if (isOnlyFirstCharCapitalized || shouldMakeSuggestionsAllUpperCase
                || 0 != trailingSingleQuotesCount) {
            for (int i = 0; i < suggestionsCount; ++i) {
                final SuggestedWordInfo wordInfo = suggestionsContainer.get(i);
                final SuggestedWordInfo transformedWordInfo = getTransformedSuggestedWordInfo(
                        wordInfo, results.mLocale, shouldMakeSuggestionsAllUpperCase,
                        isOnlyFirstCharCapitalized, trailingSingleQuotesCount);
                suggestionsContainer.set(i, transformedWordInfo);
            }
        }
        return suggestionsContainer;
    }

    private static String getWhitelistedWordOrNull(final ArrayList<SuggestedWordInfo> suggestions) {
        if (suggestions.isEmpty()) {
            return null;
        }
        final SuggestedWordInfo firstSuggestedWordInfo = suggestions.get(0);
        if (!firstSuggestedWordInfo.isKindOf(SuggestedWordInfo.KIND_WHITELIST)) {
            return null;
        }
        return firstSuggestedWordInfo.mWord;
    }

    // Retrieves suggestions for the typing input
    // and calls the callback function with the suggestions.
    private void getSuggestedWordsForTypingInput(final WordComposer wordComposer,
            final PrevWordsInfo prevWordsInfo, final ProximityInfo proximityInfo,
            final boolean blockOffensiveWords, final boolean isCorrectionEnabled,
            final int[] additionalFeaturesOptions, final int sequenceNumber,
            final OnGetSuggestedWordsCallback callback) {
        final String typedWord = wordComposer.getTypedWord();
        final int trailingSingleQuotesCount = StringUtils.getTrailingSingleQuotesCount(typedWord);
        final String consideredWord = trailingSingleQuotesCount > 0
                ? typedWord.substring(0, typedWord.length() - trailingSingleQuotesCount)
                : typedWord;

        final SuggestionResults suggestionResults = mDictionaryFacilitator.getSuggestionResults(
                wordComposer, prevWordsInfo, proximityInfo, blockOffensiveWords,
                additionalFeaturesOptions, SESSION_TYPING);
        final ArrayList<SuggestedWordInfo> suggestionsContainer =
                getTransformedSuggestedWordInfoList(wordComposer, suggestionResults,
                        trailingSingleQuotesCount);
        final boolean didRemoveTypedWord =
                SuggestedWordInfo.removeDups(wordComposer.getTypedWord(), suggestionsContainer);

        final String whitelistedWord = getWhitelistedWordOrNull(suggestionsContainer);
        final boolean resultsArePredictions = !wordComposer.isComposingWord();

        // We allow auto-correction if we have a whitelisted word, or if the word had more than
        // one char and was not suggested.
        final boolean allowsToBeAutoCorrected = (null != whitelistedWord)
                || (consideredWord.length() > 1 && !didRemoveTypedWord);

        final boolean hasAutoCorrection;
        // TODO: using isCorrectionEnabled here is not very good. It's probably useless, because
        // any attempt to do auto-correction is already shielded with a test for this flag; at the
        // same time, it feels wrong that the SuggestedWord object includes information about
        // the current settings. It may also be useful to know, when the setting is off, whether
        // the word *would* have been auto-corrected.
        if (!isCorrectionEnabled || !allowsToBeAutoCorrected || resultsArePredictions
                || suggestionResults.isEmpty() || wordComposer.hasDigits()
                || wordComposer.isMostlyCaps() || wordComposer.isResumed()
                || !mDictionaryFacilitator.hasInitializedMainDictionary()
                || suggestionResults.first().isKindOf(SuggestedWordInfo.KIND_SHORTCUT)) {
            // If we don't have a main dictionary, we never want to auto-correct. The reason for
            // this is, the user may have a contact whose name happens to match a valid word in
            // their language, and it will unexpectedly auto-correct. For example, if the user
            // types in English with no dictionary and has a "Will" in their contact list, "will"
            // would always auto-correct to "Will" which is unwanted. Hence, no main dict => no
            // auto-correct.
            // Also, shortcuts should never auto-correct unless they are whitelist entries.
            // TODO: we may want to have shortcut-only entries auto-correct in the future.
            hasAutoCorrection = false;
        } else {
            hasAutoCorrection = AutoCorrectionUtils.suggestionExceedsAutoCorrectionThreshold(
                    suggestionResults.first(), consideredWord, mAutoCorrectionThreshold);
        }

        if (!TextUtils.isEmpty(typedWord)) {
            suggestionsContainer.add(0, new SuggestedWordInfo(typedWord,
                    SuggestedWordInfo.MAX_SCORE, SuggestedWordInfo.KIND_TYPED,
                    Dictionary.DICTIONARY_USER_TYPED,
                    SuggestedWordInfo.NOT_AN_INDEX /* indexOfTouchPointOfSecondWord */,
                    SuggestedWordInfo.NOT_A_CONFIDENCE /* autoCommitFirstWordConfidence */));
        }

        final ArrayList<SuggestedWordInfo> suggestionsList;
        if (DBG && !suggestionsContainer.isEmpty()) {
            suggestionsList = getSuggestionsInfoListWithDebugInfo(typedWord, suggestionsContainer);
        } else {
            suggestionsList = suggestionsContainer;
        }

        callback.onGetSuggestedWords(new SuggestedWords(suggestionsList,
                suggestionResults.mRawSuggestions,
                // TODO: this first argument is lying. If this is a whitelisted word which is an
                // actual word, it says typedWordValid = false, which looks wrong. We should either
                // rename the attribute or change the value.
                !resultsArePredictions && !allowsToBeAutoCorrected /* typedWordValid */,
                hasAutoCorrection /* willAutoCorrect */,
                false /* isObsoleteSuggestions */, resultsArePredictions, sequenceNumber));
    }

    // Retrieves suggestions for the batch input
    // and calls the callback function with the suggestions.
    private void getSuggestedWordsForBatchInput(final WordComposer wordComposer,
            final PrevWordsInfo prevWordsInfo, final ProximityInfo proximityInfo,
            final boolean blockOffensiveWords, final int[] additionalFeaturesOptions,
            final int sessionId, final int sequenceNumber,
            final OnGetSuggestedWordsCallback callback) {
        final SuggestionResults suggestionResults = mDictionaryFacilitator.getSuggestionResults(
                wordComposer, prevWordsInfo, proximityInfo, blockOffensiveWords,
                additionalFeaturesOptions, sessionId);
        final ArrayList<SuggestedWordInfo> suggestionsContainer =
                new ArrayList<>(suggestionResults);
        final int suggestionsCount = suggestionsContainer.size();
        final boolean isFirstCharCapitalized = wordComposer.wasShiftedNoLock();
        final boolean isAllUpperCase = wordComposer.isAllUpperCase();
        if (isFirstCharCapitalized || isAllUpperCase) {
            for (int i = 0; i < suggestionsCount; ++i) {
                final SuggestedWordInfo wordInfo = suggestionsContainer.get(i);
                final SuggestedWordInfo transformedWordInfo = getTransformedSuggestedWordInfo(
                        wordInfo, suggestionResults.mLocale, isAllUpperCase, isFirstCharCapitalized,
                        0 /* trailingSingleQuotesCount */);
                suggestionsContainer.set(i, transformedWordInfo);
            }
        }

        if (suggestionsContainer.size() > 1 && TextUtils.equals(suggestionsContainer.get(0).mWord,
                wordComposer.getRejectedBatchModeSuggestion())) {
            final SuggestedWordInfo rejected = suggestionsContainer.remove(0);
            suggestionsContainer.add(1, rejected);
        }
        SuggestedWordInfo.removeDups(null /* typedWord */, suggestionsContainer);

        // For some reason some suggestions with MIN_VALUE are making their way here.
        // TODO: Find a more robust way to detect distractors.
        for (int i = suggestionsContainer.size() - 1; i >= 0; --i) {
            if (suggestionsContainer.get(i).mScore < SUPPRESS_SUGGEST_THRESHOLD) {
                suggestionsContainer.remove(i);
            }
        }

        // In the batch input mode, the most relevant suggested word should act as a "typed word"
        // (typedWordValid=true), not as an "auto correct word" (willAutoCorrect=false).
        callback.onGetSuggestedWords(new SuggestedWords(suggestionsContainer,
                suggestionResults.mRawSuggestions,
                true /* typedWordValid */,
                false /* willAutoCorrect */,
                false /* isObsoleteSuggestions */,
                false /* isPrediction */, sequenceNumber));
    }

    private static ArrayList<SuggestedWordInfo> getSuggestionsInfoListWithDebugInfo(
            final String typedWord, final ArrayList<SuggestedWordInfo> suggestions) {
        final SuggestedWordInfo typedWordInfo = suggestions.get(0);
        typedWordInfo.setDebugString("+");
        final int suggestionsSize = suggestions.size();
        final ArrayList<SuggestedWordInfo> suggestionsList = new ArrayList<>(suggestionsSize);
        suggestionsList.add(typedWordInfo);
        // Note: i here is the index in mScores[], but the index in mSuggestions is one more
        // than i because we added the typed word to mSuggestions without touching mScores.
        for (int i = 0; i < suggestionsSize - 1; ++i) {
            final SuggestedWordInfo cur = suggestions.get(i + 1);
            final float normalizedScore = BinaryDictionaryUtils.calcNormalizedScore(
                    typedWord, cur.toString(), cur.mScore);
            final String scoreInfoString;
            if (normalizedScore > 0) {
                scoreInfoString = String.format(
                        Locale.ROOT, "%d (%4.2f), %s", cur.mScore, normalizedScore,
                        cur.mSourceDict.mDictType);
            } else {
                scoreInfoString = Integer.toString(cur.mScore);
            }
            cur.setDebugString(scoreInfoString);
            suggestionsList.add(cur);
        }
        return suggestionsList;
    }

    /* package for test */ static SuggestedWordInfo getTransformedSuggestedWordInfo(
            final SuggestedWordInfo wordInfo, final Locale locale, final boolean isAllUpperCase,
            final boolean isOnlyFirstCharCapitalized, final int trailingSingleQuotesCount) {
        final StringBuilder sb = new StringBuilder(wordInfo.mWord.length());
        if (isAllUpperCase) {
            sb.append(wordInfo.mWord.toUpperCase(locale));
        } else if (isOnlyFirstCharCapitalized) {
            sb.append(StringUtils.capitalizeFirstCodePoint(wordInfo.mWord, locale));
        } else {
            sb.append(wordInfo.mWord);
        }
        // Appending quotes is here to help people quote words. However, it's not helpful
        // when they type words with quotes toward the end like "it's" or "didn't", where
        // it's more likely the user missed the last character (or didn't type it yet).
        final int quotesToAppend = trailingSingleQuotesCount
                - (-1 == wordInfo.mWord.indexOf(Constants.CODE_SINGLE_QUOTE) ? 0 : 1);
        for (int i = quotesToAppend - 1; i >= 0; --i) {
            sb.appendCodePoint(Constants.CODE_SINGLE_QUOTE);
        }
        return new SuggestedWordInfo(sb.toString(), wordInfo.mScore, wordInfo.mKindAndFlags,
                wordInfo.mSourceDict, wordInfo.mIndexOfTouchPointOfSecondWord,
                wordInfo.mAutoCommitFirstWordConfidence);
    }
}