/* * 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 com.android.inputmethod.annotations.UsedForTesting; import com.android.inputmethod.latin.SuggestedWords.SuggestedWordInfo; import com.android.inputmethod.latin.common.ComposedData; import com.android.inputmethod.latin.settings.SettingsValuesForSuggestion; import java.util.ArrayList; import java.util.Locale; import java.util.Arrays; import java.util.HashSet; /** * Abstract base class for a dictionary that can do a fuzzy search for words based on a set of key * strokes. */ public abstract class Dictionary { public static final int NOT_A_PROBABILITY = -1; public static final float NOT_A_WEIGHT_OF_LANG_MODEL_VS_SPATIAL_MODEL = -1.0f; // The following types do not actually come from real dictionary instances, so we create // corresponding instances. public static final String TYPE_USER_TYPED = "user_typed"; public static final PhonyDictionary DICTIONARY_USER_TYPED = new PhonyDictionary(TYPE_USER_TYPED); public static final String TYPE_APPLICATION_DEFINED = "application_defined"; public static final PhonyDictionary DICTIONARY_APPLICATION_DEFINED = new PhonyDictionary(TYPE_APPLICATION_DEFINED); public static final String TYPE_HARDCODED = "hardcoded"; // punctuation signs and such public static final PhonyDictionary DICTIONARY_HARDCODED = new PhonyDictionary(TYPE_HARDCODED); // Spawned by resuming suggestions. Comes from a span that was in the TextView. public static final String TYPE_RESUMED = "resumed"; public static final PhonyDictionary DICTIONARY_RESUMED = new PhonyDictionary(TYPE_RESUMED); // The following types of dictionary have actual functional instances. We don't need final // phony dictionary instances for them. public static final String TYPE_MAIN = "main"; public static final String TYPE_CONTACTS = "contacts"; // User dictionary, the system-managed one. public static final String TYPE_USER = "user"; // User history dictionary internal to LatinIME. public static final String TYPE_USER_HISTORY = "history"; // Personalization dictionary. public static final String TYPE_PERSONALIZATION = "personalization"; // Contextual dictionary. public static final String TYPE_CONTEXTUAL = "contextual"; public final String mDictType; // The locale for this dictionary. May be null if unknown (phony dictionary for example). public final Locale mLocale; /** * Set out of the dictionary types listed above that are based on data specific to the user, * e.g., the user's contacts. */ private static final HashSet sUserSpecificDictionaryTypes = new HashSet<>(Arrays.asList( TYPE_USER_TYPED, TYPE_USER, TYPE_CONTACTS, TYPE_USER_HISTORY, TYPE_PERSONALIZATION, TYPE_CONTEXTUAL)); public Dictionary(final String dictType, final Locale locale) { mDictType = dictType; mLocale = locale; } /** * Searches for suggestions for a given context. * @param composedData the key sequence to match with coordinate info * @param ngramContext the context for n-gram. * @param proximityInfoHandle the handle for key proximity. Is ignored by some implementations. * @param settingsValuesForSuggestion the settings values used for the suggestion. * @param sessionId the session id. * @param weightForLocale the weight given to this locale, to multiply the output scores for * multilingual input. * @param inOutWeightOfLangModelVsSpatialModel the weight of the language model as a ratio of * the spatial model, used for generating suggestions. inOutWeightOfLangModelVsSpatialModel is * a float array that has only one element. This can be updated when a different value is used. * @return the list of suggestions (possibly null if none) */ abstract public ArrayList getSuggestions(final ComposedData composedData, final NgramContext ngramContext, final long proximityInfoHandle, final SettingsValuesForSuggestion settingsValuesForSuggestion, final int sessionId, final float weightForLocale, final float[] inOutWeightOfLangModelVsSpatialModel); /** * Checks if the given word has to be treated as a valid word. Please note that some * dictionaries have entries that should be treated as invalid words. * @param word the word to search for. The search should be case-insensitive. * @return true if the word is valid, false otherwise */ public boolean isValidWord(final String word) { return isInDictionary(word); } /** * Checks if the given word is in the dictionary regardless of it being valid or not. */ abstract public boolean isInDictionary(final String word); /** * Get the frequency of the word. * @param word the word to get the frequency of. */ public int getFrequency(final String word) { return NOT_A_PROBABILITY; } /** * Get the maximum frequency of the word. * @param word the word to get the maximum frequency of. */ public int getMaxFrequencyOfExactMatches(final String word) { return NOT_A_PROBABILITY; } /** * Compares the contents of the character array with the typed word and returns true if they * are the same. * @param word the array of characters that make up the word * @param length the number of valid characters in the character array * @param typedWord the word to compare with * @return true if they are the same, false otherwise. */ protected boolean same(final char[] word, final int length, final String typedWord) { if (typedWord.length() != length) { return false; } for (int i = 0; i < length; i++) { if (word[i] != typedWord.charAt(i)) { return false; } } return true; } /** * Override to clean up any resources. */ public void close() { // empty base implementation } /** * Subclasses may override to indicate that this Dictionary is not yet properly initialized. */ public boolean isInitialized() { return true; } /** * Whether we think this suggestion should trigger an auto-commit. prevWord is the word * before the suggestion, so that we can use n-gram frequencies. * @param candidate The candidate suggestion, in whole (not only the first part). * @return whether we should auto-commit or not. */ public boolean shouldAutoCommit(final SuggestedWordInfo candidate) { // If we don't have support for auto-commit, or if we don't know, we return false to // avoid auto-committing stuff. Implementations of the Dictionary class that know to // determine whether we should auto-commit will override this. return false; } /** * Whether this dictionary is based on data specific to the user, e.g., the user's contacts. * @return Whether this dictionary is specific to the user. */ public boolean isUserSpecific() { return sUserSpecificDictionaryTypes.contains(mDictType); } /** * Not a true dictionary. A placeholder used to indicate suggestions that don't come from any * real dictionary. */ @UsedForTesting static class PhonyDictionary extends Dictionary { @UsedForTesting PhonyDictionary(final String type) { super(type, null); } @Override public ArrayList getSuggestions(final ComposedData composedData, final NgramContext ngramContext, final long proximityInfoHandle, final SettingsValuesForSuggestion settingsValuesForSuggestion, final int sessionId, final float weightForLocale, final float[] inOutWeightOfLangModelVsSpatialModel) { return null; } @Override public boolean isInDictionary(String word) { return false; } } }