2016-03-20 17:52:27 +00:00
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/*
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2020-04-10 18:06:55 +00:00
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* Copyright (C) 2016-2020 Yomichan Authors
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2016-03-20 17:52:27 +00:00
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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2020-01-01 17:00:31 +00:00
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* along with this program. If not, see <https://www.gnu.org/licenses/>.
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2016-03-20 17:52:27 +00:00
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*/
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2020-03-11 02:30:36 +00:00
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/* global
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* Deinflector
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2020-03-28 21:51:58 +00:00
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* TextSourceMap
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2020-03-12 00:33:01 +00:00
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* jp
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2020-03-11 02:30:36 +00:00
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*/
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2016-03-24 02:25:32 +00:00
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2020-10-04 16:54:55 +00:00
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/**
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* Class which finds term and kanji definitions for text.
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*/
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2016-03-20 17:52:27 +00:00
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class Translator {
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2020-10-04 16:54:55 +00:00
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/**
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* Creates a new Translator instance.
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* @param database An instance of DictionaryDatabase.
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*/
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2020-03-31 00:39:04 +00:00
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constructor(database) {
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2020-08-09 17:21:14 +00:00
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this._database = database;
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this._deinflector = null;
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this._tagCache = new Map();
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2020-10-02 21:59:14 +00:00
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this._stringComparer = new Intl.Collator('en-US'); // Invariant locale
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2016-03-26 21:16:21 +00:00
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}
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2020-10-04 16:54:55 +00:00
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/**
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* Initializes the instance for use. The public API should not be used until
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2020-10-04 17:09:04 +00:00
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* this function has been called.
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* @param deinflectionReasons The raw deinflections reasons data that the Deinflector uses.
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2020-10-04 16:54:55 +00:00
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*/
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2020-10-04 17:09:04 +00:00
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prepare(deinflectionReasons) {
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this._deinflector = new Deinflector(deinflectionReasons);
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2016-03-20 17:52:27 +00:00
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}
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2016-03-21 01:45:37 +00:00
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2020-10-04 16:54:55 +00:00
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/**
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* Clears the database tag cache. This should be executed if the database is changed.
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*/
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2020-05-06 23:28:26 +00:00
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clearDatabaseCaches() {
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2020-08-09 17:21:14 +00:00
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this._tagCache.clear();
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2019-11-02 20:21:06 +00:00
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}
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2020-10-04 16:54:55 +00:00
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/**
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* Finds term definitions for the given text.
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* @param mode The mode to use for finding terms, which determines the format of the resulting array.
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* @param text The text to find terms for.
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* @param options An object using the following structure:
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* {
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* wildcard: (null or string),
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* compactTags: (boolean),
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* mainDictionary: (string),
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* alphanumeric: (boolean),
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2020-10-04 23:36:21 +00:00
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* convertHalfWidthCharacters: (enum: 'false', 'true', 'variant'),
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* convertNumericCharacters: (enum: 'false', 'true', 'variant'),
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* convertAlphabeticCharacters: (enum: 'false', 'true', 'variant'),
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* convertHiraganaToKatakana: (enum: 'false', 'true', 'variant'),
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* convertKatakanaToHiragana: (enum: 'false', 'true', 'variant'),
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* collapseEmphaticSequences: (enum: 'false', 'true', 'full'),
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2020-10-04 16:54:55 +00:00
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* enabledDictionaryMap: (Map of [
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* (string),
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* {
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* priority: (number),
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* allowSecondarySearches: (boolean)
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* }
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* ])
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* }
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* @returns An array of [definitions, textLength]. The structure of each definition depends on the
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* mode parameter, see the _create?TermDefinition?() functions for structure details.
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*/
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async findTerms(mode, text, options) {
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2020-08-09 17:21:14 +00:00
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switch (mode) {
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case 'group':
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2020-10-04 16:54:55 +00:00
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return await this._findTermsGrouped(text, options);
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2020-08-09 17:21:14 +00:00
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case 'merge':
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2020-10-04 16:54:55 +00:00
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return await this._findTermsMerged(text, options);
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2020-08-09 17:21:14 +00:00
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case 'split':
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2020-10-04 16:54:55 +00:00
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return await this._findTermsSplit(text, options);
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2020-08-09 17:21:14 +00:00
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case 'simple':
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2020-10-04 16:54:55 +00:00
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return await this._findTermsSimple(text, options);
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2020-08-09 17:21:14 +00:00
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default:
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return [[], 0];
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}
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}
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2020-10-04 16:54:55 +00:00
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/**
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* Finds kanji definitions for the given text.
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* @param text The text to find kanji definitions for. This string can be of any length,
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* but is typically just one character, which is a single kanji. If the string is multiple
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* characters long, each character will be searched in the database.
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* @param options An object using the following structure:
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* {
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* enabledDictionaryMap: (Map of [
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* (string),
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* {
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* priority: (number)
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* }
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* ])
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* }
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* @returns An array of definitions. See the _createKanjiDefinition() function for structure details.
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*/
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2020-08-09 17:21:14 +00:00
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async findKanji(text, options) {
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2020-10-04 16:54:55 +00:00
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const {enabledDictionaryMap} = options;
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2020-08-09 17:21:14 +00:00
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const kanjiUnique = new Set();
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for (const c of text) {
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kanjiUnique.add(c);
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}
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2020-10-04 15:12:15 +00:00
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const databaseDefinitions = await this._database.findKanjiBulk([...kanjiUnique], enabledDictionaryMap);
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2020-10-02 21:59:14 +00:00
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if (databaseDefinitions.length === 0) { return []; }
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2020-08-09 17:21:14 +00:00
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2020-10-02 21:59:14 +00:00
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this._sortDatabaseDefinitionsByIndex(databaseDefinitions);
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2020-08-09 17:21:14 +00:00
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2020-10-02 21:59:14 +00:00
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const definitions = [];
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2020-10-04 15:12:15 +00:00
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for (const {character, onyomi, kunyomi, tags, glossary, stats, dictionary} of databaseDefinitions) {
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2020-10-02 21:59:14 +00:00
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const expandedStats = await this._expandStats(stats, dictionary);
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const expandedTags = await this._expandTags(tags, dictionary);
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expandedTags.push(this._createDictionaryTag(dictionary));
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this._sortTags(expandedTags);
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2020-08-09 17:21:14 +00:00
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2020-10-04 15:12:15 +00:00
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const definition = this._createKanjiDefinition(character, dictionary, onyomi, kunyomi, glossary, expandedTags, expandedStats);
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definitions.push(definition);
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2020-08-09 17:21:14 +00:00
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}
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2020-10-04 15:12:15 +00:00
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await this._buildKanjiMeta(definitions, enabledDictionaryMap);
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2020-08-09 17:21:14 +00:00
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return definitions;
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}
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2020-10-04 23:33:22 +00:00
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// Find terms core functions
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async _findTermsSimple(text, options) {
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const {enabledDictionaryMap} = options;
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const [definitions, length] = await this._findTermsInternal(text, enabledDictionaryMap, options);
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this._sortDefinitions(definitions, false);
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return [definitions, length];
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}
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async _findTermsSplit(text, options) {
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const {enabledDictionaryMap} = options;
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const [definitions, length] = await this._findTermsInternal(text, enabledDictionaryMap, options);
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await this._buildTermMeta(definitions, enabledDictionaryMap);
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this._sortDefinitions(definitions, true);
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return [definitions, length];
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}
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async _findTermsGrouped(text, options) {
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const {compactTags, enabledDictionaryMap} = options;
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const [definitions, length] = await this._findTermsInternal(text, enabledDictionaryMap, options);
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const groupedDefinitions = this._groupTerms(definitions, enabledDictionaryMap);
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await this._buildTermMeta(groupedDefinitions, enabledDictionaryMap);
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this._sortDefinitions(groupedDefinitions, false);
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if (compactTags) {
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for (const definition of groupedDefinitions) {
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this._compressDefinitionTags(definition.definitions);
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}
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}
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return [groupedDefinitions, length];
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}
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async _findTermsMerged(text, options) {
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const {compactTags, mainDictionary, enabledDictionaryMap} = options;
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const secondarySearchDictionaryMap = this._getSecondarySearchDictionaryMap(enabledDictionaryMap);
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const [definitions, length] = await this._findTermsInternal(text, enabledDictionaryMap, options);
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const {sequencedDefinitions, unsequencedDefinitions} = await this._getSequencedDefinitions(definitions, mainDictionary, enabledDictionaryMap);
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const definitionsMerged = [];
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const usedDefinitions = new Set();
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for (const {sourceDefinitions, relatedDefinitions} of sequencedDefinitions) {
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const result = await this._getMergedDefinition(
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sourceDefinitions,
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relatedDefinitions,
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unsequencedDefinitions,
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secondarySearchDictionaryMap,
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usedDefinitions
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);
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definitionsMerged.push(result);
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}
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const unusedDefinitions = unsequencedDefinitions.filter((definition) => !usedDefinitions.has(definition));
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for (const groupedDefinition of this._groupTerms(unusedDefinitions, enabledDictionaryMap)) {
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2020-10-07 00:28:49 +00:00
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const {reasons, score, expression, reading, source, rawSource, sourceTerm, furiganaSegments, termTags, definitions: definitions2} = groupedDefinition;
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2020-10-04 23:33:22 +00:00
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const termDetailsList = [this._createTermDetails(sourceTerm, expression, reading, furiganaSegments, termTags)];
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const compatibilityDefinition = this._createMergedTermDefinition(
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source,
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rawSource,
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2020-10-06 23:31:53 +00:00
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this._convertTermDefinitionsToMergedGlossaryTermDefinitions(definitions2),
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2020-10-04 23:33:22 +00:00
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[expression],
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[reading],
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termDetailsList,
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reasons,
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score
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);
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definitionsMerged.push(compatibilityDefinition);
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}
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await this._buildTermMeta(definitionsMerged, enabledDictionaryMap);
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this._sortDefinitions(definitionsMerged, false);
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if (compactTags) {
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for (const definition of definitionsMerged) {
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this._compressDefinitionTags(definition.definitions);
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}
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}
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return [definitionsMerged, length];
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}
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// Find terms internal implementation
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async _findTermsInternal(text, enabledDictionaryMap, options) {
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const {alphanumeric, wildcard} = options;
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text = this._getSearchableText(text, alphanumeric);
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if (text.length === 0) {
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return [[], 0];
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}
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const deinflections = (
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wildcard ?
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await this._findTermWildcard(text, enabledDictionaryMap, wildcard) :
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await this._findTermDeinflections(text, enabledDictionaryMap, options)
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);
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let maxLength = 0;
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const definitions = [];
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for (const {databaseDefinitions, source, rawSource, term, reasons} of deinflections) {
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if (databaseDefinitions.length === 0) { continue; }
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maxLength = Math.max(maxLength, rawSource.length);
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for (const databaseDefinition of databaseDefinitions) {
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const definition = await this._createTermDefinitionFromDatabaseDefinition(databaseDefinition, source, rawSource, term, reasons, enabledDictionaryMap);
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definitions.push(definition);
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}
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}
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this._removeDuplicateDefinitions(definitions);
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return [definitions, maxLength];
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}
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async _findTermWildcard(text, enabledDictionaryMap, wildcard) {
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const databaseDefinitions = await this._database.findTermsBulk([text], enabledDictionaryMap, wildcard);
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if (databaseDefinitions.length === 0) {
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return [];
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}
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return [{
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source: text,
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rawSource: text,
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term: text,
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rules: 0,
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reasons: [],
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databaseDefinitions
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}];
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}
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async _findTermDeinflections(text, enabledDictionaryMap, options) {
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const deinflections = this._getAllDeinflections(text, options);
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if (deinflections.length === 0) {
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return [];
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}
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const uniqueDeinflectionTerms = [];
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const uniqueDeinflectionArrays = [];
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const uniqueDeinflectionsMap = new Map();
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for (const deinflection of deinflections) {
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const term = deinflection.term;
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let deinflectionArray = uniqueDeinflectionsMap.get(term);
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if (typeof deinflectionArray === 'undefined') {
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deinflectionArray = [];
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uniqueDeinflectionTerms.push(term);
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uniqueDeinflectionArrays.push(deinflectionArray);
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uniqueDeinflectionsMap.set(term, deinflectionArray);
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}
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deinflectionArray.push(deinflection);
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}
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const databaseDefinitions = await this._database.findTermsBulk(uniqueDeinflectionTerms, enabledDictionaryMap, null);
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for (const databaseDefinition of databaseDefinitions) {
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const definitionRules = Deinflector.rulesToRuleFlags(databaseDefinition.rules);
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for (const deinflection of uniqueDeinflectionArrays[databaseDefinition.index]) {
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const deinflectionRules = deinflection.rules;
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if (deinflectionRules === 0 || (definitionRules & deinflectionRules) !== 0) {
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deinflection.databaseDefinitions.push(databaseDefinition);
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}
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}
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}
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return deinflections;
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}
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_getAllDeinflections(text, options) {
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const collapseEmphaticOptions = [[false, false]];
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switch (options.collapseEmphaticSequences) {
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case 'true':
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collapseEmphaticOptions.push([true, false]);
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break;
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case 'full':
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collapseEmphaticOptions.push([true, false], [true, true]);
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break;
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}
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const textOptionVariantArray = [
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this._getTextOptionEntryVariants(options.convertHalfWidthCharacters),
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this._getTextOptionEntryVariants(options.convertNumericCharacters),
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this._getTextOptionEntryVariants(options.convertAlphabeticCharacters),
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this._getTextOptionEntryVariants(options.convertHiraganaToKatakana),
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this._getTextOptionEntryVariants(options.convertKatakanaToHiragana),
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collapseEmphaticOptions
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];
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const deinflections = [];
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const used = new Set();
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for (const [halfWidth, numeric, alphabetic, katakana, hiragana, [collapseEmphatic, collapseEmphaticFull]] of this._getArrayVariants(textOptionVariantArray)) {
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|
let text2 = text;
|
|
|
|
const sourceMap = new TextSourceMap(text2);
|
|
|
|
if (halfWidth) {
|
|
|
|
text2 = jp.convertHalfWidthKanaToFullWidth(text2, sourceMap);
|
|
|
|
}
|
|
|
|
if (numeric) {
|
|
|
|
text2 = jp.convertNumericToFullWidth(text2);
|
|
|
|
}
|
|
|
|
if (alphabetic) {
|
|
|
|
text2 = jp.convertAlphabeticToKana(text2, sourceMap);
|
|
|
|
}
|
|
|
|
if (katakana) {
|
|
|
|
text2 = jp.convertHiraganaToKatakana(text2);
|
|
|
|
}
|
|
|
|
if (hiragana) {
|
|
|
|
text2 = jp.convertKatakanaToHiragana(text2);
|
|
|
|
}
|
|
|
|
if (collapseEmphatic) {
|
|
|
|
text2 = jp.collapseEmphaticSequences(text2, collapseEmphaticFull, sourceMap);
|
|
|
|
}
|
|
|
|
|
|
|
|
for (let i = text2.length; i > 0; --i) {
|
|
|
|
const text2Substring = text2.substring(0, i);
|
|
|
|
if (used.has(text2Substring)) { break; }
|
|
|
|
used.add(text2Substring);
|
|
|
|
const rawSource = sourceMap.source.substring(0, sourceMap.getSourceLength(i));
|
|
|
|
for (const deinflection of this._deinflector.deinflect(text2Substring, rawSource)) {
|
|
|
|
deinflections.push(deinflection);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return deinflections;
|
|
|
|
}
|
2020-08-09 17:21:14 +00:00
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
async _getSequencedDefinitions(definitions, mainDictionary, enabledDictionaryMap) {
|
2020-01-28 23:58:14 +00:00
|
|
|
const sequenceList = [];
|
2020-10-02 21:59:14 +00:00
|
|
|
const sequencedDefinitionMap = new Map();
|
2020-01-28 23:58:14 +00:00
|
|
|
const sequencedDefinitions = [];
|
2020-10-02 21:59:14 +00:00
|
|
|
const unsequencedDefinitions = [];
|
|
|
|
for (const definition of definitions) {
|
|
|
|
const {sequence, dictionary} = definition;
|
|
|
|
if (mainDictionary === dictionary && sequence >= 0) {
|
|
|
|
let sequencedDefinition = sequencedDefinitionMap.get(sequence);
|
|
|
|
if (typeof sequencedDefinition === 'undefined') {
|
|
|
|
sequencedDefinition = {
|
2020-10-04 22:10:10 +00:00
|
|
|
sourceDefinitions: [],
|
2020-10-05 02:04:44 +00:00
|
|
|
relatedDefinitions: [],
|
|
|
|
relatedDefinitionIds: new Set()
|
2020-10-02 21:59:14 +00:00
|
|
|
};
|
|
|
|
sequencedDefinitionMap.set(sequence, sequencedDefinition);
|
|
|
|
sequencedDefinitions.push(sequencedDefinition);
|
|
|
|
sequenceList.push(sequence);
|
|
|
|
}
|
2020-10-04 22:10:10 +00:00
|
|
|
sequencedDefinition.sourceDefinitions.push(definition);
|
2020-10-05 02:04:44 +00:00
|
|
|
sequencedDefinition.relatedDefinitions.push(definition);
|
|
|
|
sequencedDefinition.relatedDefinitionIds.add(definition.id);
|
2020-10-02 21:59:14 +00:00
|
|
|
} else {
|
|
|
|
unsequencedDefinitions.push(definition);
|
|
|
|
}
|
2020-01-28 23:58:14 +00:00
|
|
|
}
|
2019-10-19 15:34:12 +00:00
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
if (sequenceList.length > 0) {
|
|
|
|
const databaseDefinitions = await this._database.findTermsBySequenceBulk(sequenceList, mainDictionary);
|
|
|
|
for (const databaseDefinition of databaseDefinitions) {
|
2020-10-05 02:04:44 +00:00
|
|
|
const {relatedDefinitions, relatedDefinitionIds} = sequencedDefinitions[databaseDefinition.index];
|
|
|
|
const {id} = databaseDefinition;
|
|
|
|
if (relatedDefinitionIds.has(id)) { continue; }
|
|
|
|
|
|
|
|
const {source, rawSource, sourceTerm} = relatedDefinitions[0];
|
|
|
|
const definition = await this._createTermDefinitionFromDatabaseDefinition(databaseDefinition, source, rawSource, sourceTerm, [], enabledDictionaryMap);
|
2020-10-04 22:10:10 +00:00
|
|
|
relatedDefinitions.push(definition);
|
2020-10-04 15:12:15 +00:00
|
|
|
}
|
2019-10-19 15:34:12 +00:00
|
|
|
}
|
|
|
|
|
2020-10-05 02:04:44 +00:00
|
|
|
for (const {relatedDefinitions} of sequencedDefinitions) {
|
|
|
|
this._sortDefinitionsById(relatedDefinitions);
|
|
|
|
}
|
|
|
|
|
2020-10-02 21:59:14 +00:00
|
|
|
return {sequencedDefinitions, unsequencedDefinitions};
|
2019-10-19 15:34:12 +00:00
|
|
|
}
|
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
async _getMergedSecondarySearchResults(expressionsMap, secondarySearchDictionaryMap) {
|
|
|
|
if (secondarySearchDictionaryMap.size === 0) {
|
2019-10-19 16:42:26 +00:00
|
|
|
return [];
|
2019-10-19 16:24:38 +00:00
|
|
|
}
|
|
|
|
|
2019-10-19 16:42:26 +00:00
|
|
|
const expressionList = [];
|
|
|
|
const readingList = [];
|
2020-10-02 21:59:14 +00:00
|
|
|
for (const [expression, readingMap] of expressionsMap.entries()) {
|
|
|
|
for (const reading of readingMap.keys()) {
|
2019-10-19 16:42:26 +00:00
|
|
|
expressionList.push(expression);
|
|
|
|
readingList.push(reading);
|
2019-10-19 16:24:38 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
const databaseDefinitions = await this._database.findTermsExactBulk(expressionList, readingList, secondarySearchDictionaryMap);
|
2020-10-02 21:59:14 +00:00
|
|
|
this._sortDatabaseDefinitionsByIndex(databaseDefinitions);
|
2019-10-19 16:42:26 +00:00
|
|
|
|
2020-10-02 21:59:14 +00:00
|
|
|
const definitions = [];
|
|
|
|
for (const databaseDefinition of databaseDefinitions) {
|
|
|
|
const source = expressionList[databaseDefinition.index];
|
2020-10-04 22:10:10 +00:00
|
|
|
const definition = await this._createTermDefinitionFromDatabaseDefinition(databaseDefinition, source, source, source, [], secondarySearchDictionaryMap);
|
2020-10-02 21:59:14 +00:00
|
|
|
definitions.push(definition);
|
2019-10-19 16:42:26 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
return definitions;
|
2019-10-19 16:24:38 +00:00
|
|
|
}
|
|
|
|
|
2020-10-04 22:10:10 +00:00
|
|
|
async _getMergedDefinition(sourceDefinitions, relatedDefinitions, unsequencedDefinitions, secondarySearchDictionaryMap, usedDefinitions) {
|
2020-10-07 00:28:49 +00:00
|
|
|
const {reasons, source, rawSource} = sourceDefinitions[0];
|
2020-10-04 22:10:10 +00:00
|
|
|
const score = this._getMaxDefinitionScore(sourceDefinitions);
|
|
|
|
const termInfoMap = new Map();
|
2020-10-04 15:12:15 +00:00
|
|
|
const glossaryDefinitions = [];
|
|
|
|
const glossaryDefinitionGroupMap = new Map();
|
2019-10-19 16:16:38 +00:00
|
|
|
|
2020-10-04 22:10:10 +00:00
|
|
|
this._mergeByGlossary(relatedDefinitions, glossaryDefinitionGroupMap);
|
|
|
|
this._addUniqueTermInfos(relatedDefinitions, termInfoMap);
|
2020-10-04 15:12:15 +00:00
|
|
|
|
2020-10-04 22:10:10 +00:00
|
|
|
let secondaryDefinitions = await this._getMergedSecondarySearchResults(termInfoMap, secondarySearchDictionaryMap);
|
2020-10-06 01:10:52 +00:00
|
|
|
secondaryDefinitions = [...unsequencedDefinitions, ...secondaryDefinitions];
|
2017-10-24 15:31:18 +00:00
|
|
|
|
2020-10-04 22:10:10 +00:00
|
|
|
this._removeUsedDefinitions(secondaryDefinitions, termInfoMap, usedDefinitions);
|
2020-10-04 15:12:15 +00:00
|
|
|
this._removeDuplicateDefinitions(secondaryDefinitions);
|
2017-10-15 02:19:16 +00:00
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
this._mergeByGlossary(secondaryDefinitions, glossaryDefinitionGroupMap);
|
2017-10-03 04:20:02 +00:00
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
const allExpressions = new Set();
|
|
|
|
const allReadings = new Set();
|
|
|
|
for (const {expressions, readings} of glossaryDefinitionGroupMap.values()) {
|
|
|
|
for (const expression of expressions) { allExpressions.add(expression); }
|
|
|
|
for (const reading of readings) { allReadings.add(reading); }
|
2019-10-19 16:16:38 +00:00
|
|
|
}
|
2017-10-03 04:20:02 +00:00
|
|
|
|
2020-10-07 00:28:49 +00:00
|
|
|
for (const {expressions, readings, definitions} of glossaryDefinitionGroupMap.values()) {
|
2020-10-04 15:12:15 +00:00
|
|
|
const glossaryDefinition = this._createMergedGlossaryTermDefinition(
|
|
|
|
source,
|
|
|
|
rawSource,
|
2020-10-07 00:28:49 +00:00
|
|
|
definitions,
|
2020-10-04 15:12:15 +00:00
|
|
|
expressions,
|
|
|
|
readings,
|
|
|
|
allExpressions,
|
|
|
|
allReadings
|
|
|
|
);
|
|
|
|
glossaryDefinitions.push(glossaryDefinition);
|
|
|
|
}
|
2019-10-19 16:16:38 +00:00
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
this._sortDefinitions(glossaryDefinitions, true);
|
|
|
|
|
2020-10-04 22:10:10 +00:00
|
|
|
const termDetailsList = this._createTermDetailsListFromTermInfoMap(termInfoMap);
|
2020-10-04 15:12:15 +00:00
|
|
|
|
|
|
|
return this._createMergedTermDefinition(
|
|
|
|
source,
|
|
|
|
rawSource,
|
|
|
|
glossaryDefinitions,
|
|
|
|
[...allExpressions],
|
|
|
|
[...allReadings],
|
2020-10-04 22:10:10 +00:00
|
|
|
termDetailsList,
|
2020-10-04 15:12:15 +00:00
|
|
|
reasons,
|
|
|
|
score
|
|
|
|
);
|
|
|
|
}
|
|
|
|
|
2020-10-04 22:10:10 +00:00
|
|
|
_removeUsedDefinitions(definitions, termInfoMap, usedDefinitions) {
|
2020-10-04 15:12:15 +00:00
|
|
|
for (let i = 0, ii = definitions.length; i < ii; ++i) {
|
|
|
|
const definition = definitions[i];
|
|
|
|
const {expression, reading} = definition;
|
2020-10-04 22:10:10 +00:00
|
|
|
const expressionMap = termInfoMap.get(expression);
|
2020-10-04 15:12:15 +00:00
|
|
|
if (
|
|
|
|
typeof expressionMap !== 'undefined' &&
|
|
|
|
typeof expressionMap.get(reading) !== 'undefined'
|
|
|
|
) {
|
|
|
|
usedDefinitions.add(definition);
|
|
|
|
} else {
|
|
|
|
definitions.splice(i, 1);
|
|
|
|
--i;
|
|
|
|
--ii;
|
2017-10-01 01:17:02 +00:00
|
|
|
}
|
2019-10-19 16:16:38 +00:00
|
|
|
}
|
2020-10-04 15:12:15 +00:00
|
|
|
}
|
2017-10-03 04:20:02 +00:00
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
_getUniqueDefinitionTags(definitions) {
|
|
|
|
const definitionTagsMap = new Map();
|
|
|
|
for (const {definitionTags} of definitions) {
|
|
|
|
for (const tag of definitionTags) {
|
|
|
|
const {name} = tag;
|
|
|
|
if (definitionTagsMap.has(name)) { continue; }
|
|
|
|
definitionTagsMap.set(name, this._cloneTag(tag));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return [...definitionTagsMap.values()];
|
|
|
|
}
|
2017-10-01 01:17:02 +00:00
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
_removeDuplicateDefinitions(definitions) {
|
|
|
|
const definitionGroups = new Map();
|
|
|
|
for (let i = 0, ii = definitions.length; i < ii; ++i) {
|
|
|
|
const definition = definitions[i];
|
|
|
|
const {id} = definition;
|
|
|
|
const existing = definitionGroups.get(id);
|
|
|
|
if (typeof existing === 'undefined') {
|
|
|
|
definitionGroups.set(id, [i, definition]);
|
|
|
|
continue;
|
2019-11-05 00:35:57 +00:00
|
|
|
}
|
2017-10-05 03:56:45 +00:00
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
let removeIndex = i;
|
|
|
|
if (definition.source.length > existing[1].source.length) {
|
|
|
|
definitionGroups.set(id, [i, definition]);
|
|
|
|
removeIndex = existing[0];
|
2017-10-12 06:59:09 +00:00
|
|
|
}
|
2017-09-29 02:41:29 +00:00
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
definitions.splice(removeIndex, 1);
|
|
|
|
--i;
|
|
|
|
--ii;
|
|
|
|
}
|
2020-02-15 20:09:59 +00:00
|
|
|
}
|
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
_compressDefinitionTags(definitions) {
|
|
|
|
let lastDictionary = '';
|
|
|
|
let lastPartOfSpeech = '';
|
|
|
|
const removeCategoriesSet = new Set();
|
2017-04-22 20:02:06 +00:00
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
for (const {definitionTags} of definitions) {
|
|
|
|
const dictionary = this._createMapKey(this._getTagNamesWithCategory(definitionTags, 'dictionary'));
|
|
|
|
const partOfSpeech = this._createMapKey(this._getTagNamesWithCategory(definitionTags, 'partOfSpeech'));
|
2016-03-21 03:34:50 +00:00
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
if (lastDictionary === dictionary) {
|
|
|
|
removeCategoriesSet.add('dictionary');
|
|
|
|
} else {
|
|
|
|
lastDictionary = dictionary;
|
|
|
|
lastPartOfSpeech = '';
|
2017-01-08 19:18:55 +00:00
|
|
|
}
|
2017-07-10 21:10:58 +00:00
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
if (lastPartOfSpeech === partOfSpeech) {
|
|
|
|
removeCategoriesSet.add('partOfSpeech');
|
|
|
|
} else {
|
|
|
|
lastPartOfSpeech = partOfSpeech;
|
|
|
|
}
|
2016-03-21 01:45:37 +00:00
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
if (removeCategoriesSet.size > 0) {
|
|
|
|
this._removeTagsWithCategory(definitionTags, removeCategoriesSet);
|
|
|
|
removeCategoriesSet.clear();
|
|
|
|
}
|
2019-11-05 01:52:08 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
_groupTerms(definitions) {
|
|
|
|
const groups = new Map();
|
|
|
|
for (const definition of definitions) {
|
|
|
|
const key = this._createMapKey([definition.source, definition.expression, definition.reading, ...definition.reasons]);
|
|
|
|
let groupDefinitions = groups.get(key);
|
|
|
|
if (typeof groupDefinitions === 'undefined') {
|
|
|
|
groupDefinitions = [];
|
|
|
|
groups.set(key, groupDefinitions);
|
2019-10-01 02:09:16 +00:00
|
|
|
}
|
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
groupDefinitions.push(definition);
|
|
|
|
}
|
2019-08-31 01:06:21 +00:00
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
const results = [];
|
|
|
|
for (const groupDefinitions of groups.values()) {
|
|
|
|
this._sortDefinitions(groupDefinitions, true);
|
|
|
|
const definition = this._createGroupedTermDefinition(groupDefinitions);
|
|
|
|
results.push(definition);
|
2019-08-31 01:06:21 +00:00
|
|
|
}
|
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
return results;
|
2019-08-31 01:06:21 +00:00
|
|
|
}
|
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
_mergeByGlossary(definitions, glossaryDefinitionGroupMap) {
|
|
|
|
for (const definition of definitions) {
|
2020-10-06 02:50:10 +00:00
|
|
|
const {expression, reading, dictionary, glossary, id} = definition;
|
2016-03-21 03:34:50 +00:00
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
const key = this._createMapKey([dictionary, ...glossary]);
|
|
|
|
let group = glossaryDefinitionGroupMap.get(key);
|
|
|
|
if (typeof group === 'undefined') {
|
|
|
|
group = {
|
|
|
|
expressions: new Set(),
|
|
|
|
readings: new Set(),
|
2020-10-06 02:50:10 +00:00
|
|
|
definitions: [],
|
|
|
|
definitionIds: new Set()
|
2020-10-04 23:33:22 +00:00
|
|
|
};
|
|
|
|
glossaryDefinitionGroupMap.set(key, group);
|
2020-01-24 01:49:41 +00:00
|
|
|
}
|
2020-10-04 23:33:22 +00:00
|
|
|
|
2020-10-06 02:50:10 +00:00
|
|
|
const {definitionIds} = group;
|
|
|
|
if (definitionIds.has(id)) { continue; }
|
|
|
|
definitionIds.add(id);
|
2020-10-04 23:33:22 +00:00
|
|
|
group.expressions.add(expression);
|
|
|
|
group.readings.add(reading);
|
|
|
|
group.definitions.push(definition);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
_addUniqueTermInfos(definitions, termInfoMap) {
|
|
|
|
for (const {expression, reading, sourceTerm, furiganaSegments, termTags} of definitions) {
|
|
|
|
let readingMap = termInfoMap.get(expression);
|
|
|
|
if (typeof readingMap === 'undefined') {
|
|
|
|
readingMap = new Map();
|
|
|
|
termInfoMap.set(expression, readingMap);
|
2020-01-24 01:28:38 +00:00
|
|
|
}
|
2020-10-04 23:33:22 +00:00
|
|
|
|
|
|
|
let termInfo = readingMap.get(reading);
|
|
|
|
if (typeof termInfo === 'undefined') {
|
|
|
|
termInfo = {
|
|
|
|
sourceTerm,
|
|
|
|
furiganaSegments,
|
|
|
|
termTagsMap: new Map()
|
|
|
|
};
|
|
|
|
readingMap.set(reading, termInfo);
|
2020-04-10 15:56:18 +00:00
|
|
|
}
|
2019-12-22 18:09:35 +00:00
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
const {termTagsMap} = termInfo;
|
|
|
|
for (const tag of termTags) {
|
|
|
|
const {name} = tag;
|
|
|
|
if (termTagsMap.has(name)) { continue; }
|
|
|
|
termTagsMap.set(name, this._cloneTag(tag));
|
2019-08-31 01:06:21 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2020-10-06 23:31:53 +00:00
|
|
|
_convertTermDefinitionsToMergedGlossaryTermDefinitions(definitions) {
|
|
|
|
const convertedDefinitions = [];
|
|
|
|
for (const definition of definitions) {
|
|
|
|
const {source, rawSource, expression, reading} = definition;
|
|
|
|
const expressions = new Set([expression]);
|
|
|
|
const readings = new Set([reading]);
|
|
|
|
const convertedDefinition = this._createMergedGlossaryTermDefinition(source, rawSource, [definition], expressions, readings, expressions, readings);
|
|
|
|
convertedDefinitions.push(convertedDefinition);
|
|
|
|
}
|
|
|
|
return convertedDefinitions;
|
|
|
|
}
|
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
// Metadata building
|
2019-12-22 19:07:30 +00:00
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
async _buildTermMeta(definitions, enabledDictionaryMap) {
|
2020-11-02 02:24:35 +00:00
|
|
|
const addMetadataTargetInfo = (targetMap1, target, parents) => {
|
|
|
|
let {expression, reading} = target;
|
|
|
|
if (!reading) { reading = expression; }
|
|
|
|
|
|
|
|
let targetMap2 = targetMap1.get(expression);
|
|
|
|
if (typeof targetMap2 === 'undefined') {
|
|
|
|
targetMap2 = new Map();
|
|
|
|
targetMap1.set(expression, targetMap2);
|
2019-08-31 01:06:21 +00:00
|
|
|
}
|
|
|
|
|
2020-11-02 02:24:35 +00:00
|
|
|
let targets = targetMap2.get(reading);
|
|
|
|
if (typeof targets === 'undefined') {
|
|
|
|
targets = new Set([target, ...parents]);
|
|
|
|
targetMap2.set(reading, targets);
|
|
|
|
} else {
|
|
|
|
targets.add(target);
|
|
|
|
for (const parent of parents) {
|
|
|
|
targets.add(parent);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
};
|
|
|
|
|
|
|
|
const targetMap = new Map();
|
|
|
|
const definitionsQueue = definitions.map((definition) => ({definition, parents: []}));
|
|
|
|
while (definitionsQueue.length > 0) {
|
|
|
|
const {definition, parents} = definitionsQueue.shift();
|
|
|
|
const childDefinitions = definition.definitions;
|
|
|
|
if (Array.isArray(childDefinitions)) {
|
|
|
|
for (const definition2 of childDefinitions) {
|
|
|
|
definitionsQueue.push({definition: definition2, parents: [...parents, definition]});
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
addMetadataTargetInfo(targetMap, definition, parents);
|
|
|
|
}
|
2017-10-03 04:20:02 +00:00
|
|
|
|
2020-11-02 02:24:35 +00:00
|
|
|
for (const target of definition.expressions) {
|
|
|
|
addMetadataTargetInfo(targetMap, target, []);
|
2019-08-31 01:06:21 +00:00
|
|
|
}
|
|
|
|
}
|
2020-11-02 02:24:35 +00:00
|
|
|
const targetMapEntries = [...targetMap.entries()];
|
|
|
|
const uniqueExpressions = targetMapEntries.map(([expression]) => expression);
|
2019-08-31 01:06:21 +00:00
|
|
|
|
2020-11-02 02:24:35 +00:00
|
|
|
const metas = await this._database.findTermMetaBulk(uniqueExpressions, enabledDictionaryMap);
|
2020-01-25 03:24:05 +00:00
|
|
|
for (const {expression, mode, data, dictionary, index} of metas) {
|
2020-11-02 02:24:35 +00:00
|
|
|
const targetMap2 = targetMapEntries[index][1];
|
|
|
|
for (const [reading, targets] of targetMap2) {
|
|
|
|
switch (mode) {
|
|
|
|
case 'freq':
|
|
|
|
{
|
|
|
|
const frequencyData = this._getFrequencyData(expression, reading, dictionary, data);
|
|
|
|
if (frequencyData === null) { continue; }
|
|
|
|
for (const {frequencies} of targets) { frequencies.push(frequencyData); }
|
|
|
|
}
|
|
|
|
break;
|
|
|
|
case 'pitch':
|
|
|
|
{
|
|
|
|
const pitchData = await this._getPitchData(expression, reading, dictionary, data);
|
|
|
|
if (pitchData === null) { continue; }
|
|
|
|
for (const {pitches} of targets) { pitches.push(pitchData); }
|
|
|
|
}
|
|
|
|
break;
|
|
|
|
}
|
2017-09-23 15:46:34 +00:00
|
|
|
}
|
2017-09-14 06:22:41 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
async _buildKanjiMeta(definitions, enabledDictionaryMap) {
|
2020-01-25 03:27:25 +00:00
|
|
|
const kanjiList = [];
|
2020-10-02 21:59:14 +00:00
|
|
|
for (const {character} of definitions) {
|
|
|
|
kanjiList.push(character);
|
2020-01-25 03:27:25 +00:00
|
|
|
}
|
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
const metas = await this._database.findKanjiMetaBulk(kanjiList, enabledDictionaryMap);
|
2020-01-25 03:27:25 +00:00
|
|
|
for (const {character, mode, data, dictionary, index} of metas) {
|
|
|
|
switch (mode) {
|
|
|
|
case 'freq':
|
|
|
|
definitions[index].frequencies.push({character, frequency: data, dictionary});
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2020-10-07 00:28:49 +00:00
|
|
|
async _expandTags(names, dictionary) {
|
|
|
|
const tagMetaList = await this._getTagMetaList(names, dictionary);
|
2020-10-02 21:59:14 +00:00
|
|
|
const results = [];
|
|
|
|
for (let i = 0, ii = tagMetaList.length; i < ii; ++i) {
|
|
|
|
const meta = tagMetaList[i];
|
|
|
|
const name = names[i];
|
2020-10-07 00:28:49 +00:00
|
|
|
const {category, notes, order, score} = (meta !== null ? meta : {});
|
2020-10-02 21:59:14 +00:00
|
|
|
const tag = this._createTag(name, category, notes, order, score, dictionary);
|
|
|
|
results.push(tag);
|
|
|
|
}
|
|
|
|
return results;
|
2017-09-13 23:42:04 +00:00
|
|
|
}
|
2017-09-18 02:16:08 +00:00
|
|
|
|
2020-10-07 00:28:49 +00:00
|
|
|
async _expandStats(items, dictionary) {
|
2019-10-19 17:32:05 +00:00
|
|
|
const names = Object.keys(items);
|
2020-10-07 00:28:49 +00:00
|
|
|
const tagMetaList = await this._getTagMetaList(names, dictionary);
|
2017-09-18 02:16:08 +00:00
|
|
|
|
2020-02-15 18:12:03 +00:00
|
|
|
const statsGroups = new Map();
|
2019-10-19 17:32:05 +00:00
|
|
|
for (let i = 0; i < names.length; ++i) {
|
|
|
|
const name = names[i];
|
|
|
|
const meta = tagMetaList[i];
|
|
|
|
if (meta === null) { continue; }
|
|
|
|
|
2020-10-07 00:28:49 +00:00
|
|
|
const {category, notes, order, score} = meta;
|
2020-02-15 18:12:03 +00:00
|
|
|
let group = statsGroups.get(category);
|
|
|
|
if (typeof group === 'undefined') {
|
|
|
|
group = [];
|
|
|
|
statsGroups.set(category, group);
|
|
|
|
}
|
2019-08-30 23:38:36 +00:00
|
|
|
|
2020-10-02 21:59:14 +00:00
|
|
|
const value = items[name];
|
|
|
|
const stat = this._createKanjiStat(name, category, notes, order, score, dictionary, value);
|
|
|
|
group.push(stat);
|
2017-09-18 02:16:08 +00:00
|
|
|
}
|
|
|
|
|
2020-02-15 18:12:03 +00:00
|
|
|
const stats = {};
|
|
|
|
for (const [category, group] of statsGroups.entries()) {
|
2020-10-02 21:59:14 +00:00
|
|
|
this._sortKanjiStats(group);
|
2020-02-15 18:12:03 +00:00
|
|
|
stats[category] = group;
|
2017-09-22 06:20:51 +00:00
|
|
|
}
|
2017-09-18 02:57:39 +00:00
|
|
|
return stats;
|
2017-09-18 02:16:08 +00:00
|
|
|
}
|
2019-08-11 18:12:01 +00:00
|
|
|
|
2020-10-07 00:28:49 +00:00
|
|
|
async _getTagMetaList(names, dictionary) {
|
2019-10-19 17:32:05 +00:00
|
|
|
const tagMetaList = [];
|
2020-10-07 00:28:49 +00:00
|
|
|
let cache = this._tagCache.get(dictionary);
|
2020-02-14 01:24:54 +00:00
|
|
|
if (typeof cache === 'undefined') {
|
|
|
|
cache = new Map();
|
2020-10-07 00:28:49 +00:00
|
|
|
this._tagCache.set(dictionary, cache);
|
2020-02-14 01:24:54 +00:00
|
|
|
}
|
2019-10-19 17:32:05 +00:00
|
|
|
|
|
|
|
for (const name of names) {
|
2020-08-09 17:21:14 +00:00
|
|
|
const base = this._getNameBase(name);
|
2019-10-19 17:32:05 +00:00
|
|
|
|
2020-02-14 01:24:54 +00:00
|
|
|
let tagMeta = cache.get(base);
|
|
|
|
if (typeof tagMeta === 'undefined') {
|
2020-10-07 00:28:49 +00:00
|
|
|
tagMeta = await this._database.findTagForTitle(base, dictionary);
|
2020-02-14 01:24:54 +00:00
|
|
|
cache.set(base, tagMeta);
|
2019-10-19 17:32:05 +00:00
|
|
|
}
|
2020-02-14 01:24:54 +00:00
|
|
|
|
|
|
|
tagMetaList.push(tagMeta);
|
2019-10-19 17:32:05 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
return tagMetaList;
|
|
|
|
}
|
|
|
|
|
2020-11-02 02:24:35 +00:00
|
|
|
_getFrequencyData(expression, reading, dictionary, data) {
|
|
|
|
let frequency = data;
|
2020-04-12 03:20:36 +00:00
|
|
|
if (data !== null && typeof data === 'object') {
|
2020-11-02 02:24:35 +00:00
|
|
|
if (data.reading !== reading) { return null; }
|
|
|
|
frequency = data.frequency2;
|
2020-04-12 03:20:36 +00:00
|
|
|
}
|
2020-11-02 02:24:35 +00:00
|
|
|
return {expression, reading, dictionary, frequency};
|
2020-04-12 03:20:36 +00:00
|
|
|
}
|
|
|
|
|
2020-11-02 02:24:35 +00:00
|
|
|
async _getPitchData(expression, reading, dictionary, data) {
|
|
|
|
if (data.reading !== reading) { return null; }
|
2020-03-01 19:06:52 +00:00
|
|
|
|
|
|
|
const pitches = [];
|
|
|
|
for (let {position, tags} of data.pitches) {
|
2020-10-07 00:28:49 +00:00
|
|
|
tags = Array.isArray(tags) ? await this._expandTags(tags, dictionary) : [];
|
2020-03-01 19:06:52 +00:00
|
|
|
pitches.push({position, tags});
|
|
|
|
}
|
|
|
|
|
2020-11-02 02:24:35 +00:00
|
|
|
return {expression, reading, dictionary, pitches};
|
2020-03-01 19:06:52 +00:00
|
|
|
}
|
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
// Simple helpers
|
|
|
|
|
2020-08-09 17:21:14 +00:00
|
|
|
_scoreToTermFrequency(score) {
|
2019-10-19 18:18:57 +00:00
|
|
|
if (score > 0) {
|
|
|
|
return 'popular';
|
|
|
|
} else if (score < 0) {
|
|
|
|
return 'rare';
|
|
|
|
} else {
|
|
|
|
return 'normal';
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2020-08-09 17:21:14 +00:00
|
|
|
_getNameBase(name) {
|
2019-08-11 18:12:01 +00:00
|
|
|
const pos = name.indexOf(':');
|
2019-11-24 16:02:52 +00:00
|
|
|
return (pos >= 0 ? name.substring(0, pos) : name);
|
2019-08-11 18:12:01 +00:00
|
|
|
}
|
2019-12-22 18:09:35 +00:00
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
_getSearchableText(text, allowAlphanumericCharacters) {
|
|
|
|
if (allowAlphanumericCharacters) {
|
|
|
|
return text;
|
2019-12-22 23:26:27 +00:00
|
|
|
}
|
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
let newText = '';
|
|
|
|
for (const c of text) {
|
|
|
|
if (!jp.isCodePointJapanese(c.codePointAt(0))) {
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
newText += c;
|
|
|
|
}
|
|
|
|
return newText;
|
2019-12-22 23:26:27 +00:00
|
|
|
}
|
2020-08-02 17:30:55 +00:00
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
_getTextOptionEntryVariants(value) {
|
|
|
|
switch (value) {
|
|
|
|
case 'true': return [true];
|
|
|
|
case 'variant': return [false, true];
|
|
|
|
default: return [false];
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
_getSecondarySearchDictionaryMap(enabledDictionaryMap) {
|
|
|
|
const secondarySearchDictionaryMap = new Map();
|
2020-10-07 00:28:49 +00:00
|
|
|
for (const [dictionary, details] of enabledDictionaryMap.entries()) {
|
|
|
|
if (!details.allowSecondarySearches) { continue; }
|
|
|
|
secondarySearchDictionaryMap.set(dictionary, details);
|
2020-10-04 15:12:15 +00:00
|
|
|
}
|
|
|
|
return secondarySearchDictionaryMap;
|
|
|
|
}
|
|
|
|
|
|
|
|
_getDictionaryPriority(dictionary, enabledDictionaryMap) {
|
|
|
|
const info = enabledDictionaryMap.get(dictionary);
|
|
|
|
return typeof info !== 'undefined' ? info.priority : 0;
|
|
|
|
}
|
|
|
|
|
|
|
|
_getTagNamesWithCategory(tags, category) {
|
|
|
|
const results = [];
|
|
|
|
for (const tag of tags) {
|
|
|
|
if (tag.category !== category) { continue; }
|
|
|
|
results.push(tag.name);
|
|
|
|
}
|
|
|
|
results.sort();
|
|
|
|
return results;
|
|
|
|
}
|
|
|
|
|
|
|
|
_removeTagsWithCategory(tags, removeCategoriesSet) {
|
|
|
|
for (let i = 0, ii = tags.length; i < ii; ++i) {
|
|
|
|
const {category} = tags[i];
|
|
|
|
if (!removeCategoriesSet.has(category)) { continue; }
|
|
|
|
tags.splice(i, 1);
|
|
|
|
--i;
|
|
|
|
--ii;
|
2020-08-10 01:04:09 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2020-10-07 00:28:49 +00:00
|
|
|
_getUniqueDictionaryNames(definitions) {
|
|
|
|
const uniqueDictionaryNames = new Set();
|
|
|
|
for (const {dictionaryNames} of definitions) {
|
|
|
|
for (const dictionaryName of dictionaryNames) {
|
|
|
|
uniqueDictionaryNames.add(dictionaryName);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return [...uniqueDictionaryNames];
|
|
|
|
}
|
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
*_getArrayVariants(arrayVariants) {
|
|
|
|
const ii = arrayVariants.length;
|
2020-08-10 01:04:09 +00:00
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
let total = 1;
|
|
|
|
for (let i = 0; i < ii; ++i) {
|
|
|
|
total *= arrayVariants[i].length;
|
2020-08-10 01:04:09 +00:00
|
|
|
}
|
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
for (let a = 0; a < total; ++a) {
|
|
|
|
const variant = [];
|
|
|
|
let index = a;
|
|
|
|
for (let i = 0; i < ii; ++i) {
|
|
|
|
const entryVariants = arrayVariants[i];
|
|
|
|
variant.push(entryVariants[index % entryVariants.length]);
|
|
|
|
index = Math.floor(index / entryVariants.length);
|
|
|
|
}
|
|
|
|
yield variant;
|
2020-08-10 01:04:09 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
// Reduction functions
|
2020-08-10 01:04:09 +00:00
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
_getTermTagsScoreSum(termTags) {
|
|
|
|
let result = 0;
|
|
|
|
for (const {score} of termTags) {
|
|
|
|
result += score;
|
2020-10-04 15:12:15 +00:00
|
|
|
}
|
2020-10-04 23:33:22 +00:00
|
|
|
return result;
|
2020-10-04 15:12:15 +00:00
|
|
|
}
|
2020-08-10 01:04:09 +00:00
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
_getSourceTermMatchCountSum(definitions) {
|
|
|
|
let result = 0;
|
|
|
|
for (const {sourceTermExactMatchCount} of definitions) {
|
|
|
|
result += sourceTermExactMatchCount;
|
2020-10-04 15:12:15 +00:00
|
|
|
}
|
2020-10-04 23:33:22 +00:00
|
|
|
return result;
|
2020-10-04 15:12:15 +00:00
|
|
|
}
|
2020-08-10 01:04:09 +00:00
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
_getMaxDefinitionScore(definitions) {
|
|
|
|
let result = Number.MIN_SAFE_INTEGER;
|
|
|
|
for (const {score} of definitions) {
|
|
|
|
if (score > result) { result = score; }
|
|
|
|
}
|
|
|
|
return result;
|
|
|
|
}
|
2020-08-10 01:04:09 +00:00
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
_getMaxDictionaryPriority(definitions) {
|
|
|
|
let result = Number.MIN_SAFE_INTEGER;
|
|
|
|
for (const {dictionaryPriority} of definitions) {
|
|
|
|
if (dictionaryPriority > result) { result = dictionaryPriority; }
|
2020-08-10 01:04:09 +00:00
|
|
|
}
|
2020-10-04 15:12:15 +00:00
|
|
|
return result;
|
|
|
|
}
|
2020-08-10 01:04:09 +00:00
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
// Common data creation and cloning functions
|
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
_cloneTag(tag) {
|
|
|
|
const {name, category, notes, order, score, dictionary} = tag;
|
|
|
|
return this._createTag(name, category, notes, order, score, dictionary);
|
|
|
|
}
|
|
|
|
|
|
|
|
_cloneTags(tags) {
|
|
|
|
const results = [];
|
|
|
|
for (const tag of tags) {
|
|
|
|
results.push(this._cloneTag(tag));
|
2020-08-10 01:04:09 +00:00
|
|
|
}
|
2020-10-04 15:12:15 +00:00
|
|
|
return results;
|
|
|
|
}
|
2020-08-10 01:04:09 +00:00
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
_createMapKey(array) {
|
|
|
|
return JSON.stringify(array);
|
2020-08-10 01:04:09 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
_createDictionaryTag(name) {
|
2020-10-02 21:59:14 +00:00
|
|
|
return this._createTag(name, 'dictionary', '', 100, 0, name);
|
|
|
|
}
|
|
|
|
|
|
|
|
_createTag(name, category, notes, order, score, dictionary) {
|
|
|
|
return {
|
|
|
|
name,
|
|
|
|
category: (typeof category === 'string' && category.length > 0 ? category : 'default'),
|
|
|
|
notes: (typeof notes === 'string' ? notes : ''),
|
|
|
|
order: (typeof order === 'number' ? order : 0),
|
|
|
|
score: (typeof score === 'number' ? score : 0),
|
|
|
|
dictionary: (typeof dictionary === 'string' ? dictionary : null)
|
|
|
|
};
|
2020-08-10 01:04:09 +00:00
|
|
|
}
|
|
|
|
|
2020-10-02 21:59:14 +00:00
|
|
|
_createKanjiStat(name, category, notes, order, score, dictionary, value) {
|
|
|
|
return {
|
|
|
|
name,
|
|
|
|
category: (typeof category === 'string' && category.length > 0 ? category : 'default'),
|
|
|
|
notes: (typeof notes === 'string' ? notes : ''),
|
|
|
|
order: (typeof order === 'number' ? order : 0),
|
|
|
|
score: (typeof score === 'number' ? score : 0),
|
|
|
|
dictionary: (typeof dictionary === 'string' ? dictionary : null),
|
|
|
|
value
|
|
|
|
};
|
|
|
|
}
|
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
_createKanjiDefinition(character, dictionary, onyomi, kunyomi, glossary, tags, stats) {
|
|
|
|
return {
|
|
|
|
type: 'kanji',
|
|
|
|
character,
|
|
|
|
dictionary,
|
|
|
|
onyomi,
|
|
|
|
kunyomi,
|
|
|
|
glossary,
|
|
|
|
tags,
|
|
|
|
stats,
|
|
|
|
frequencies: []
|
|
|
|
};
|
|
|
|
}
|
|
|
|
|
2020-10-04 22:10:10 +00:00
|
|
|
async _createTermDefinitionFromDatabaseDefinition(databaseDefinition, source, rawSource, sourceTerm, reasons, enabledDictionaryMap) {
|
2020-10-02 21:59:14 +00:00
|
|
|
const {expression, reading, definitionTags, termTags, glossary, score, dictionary, id, sequence} = databaseDefinition;
|
2020-10-04 15:12:15 +00:00
|
|
|
const dictionaryPriority = this._getDictionaryPriority(dictionary, enabledDictionaryMap);
|
2020-10-02 21:59:14 +00:00
|
|
|
const termTagsExpanded = await this._expandTags(termTags, dictionary);
|
|
|
|
const definitionTagsExpanded = await this._expandTags(definitionTags, dictionary);
|
|
|
|
definitionTagsExpanded.push(this._createDictionaryTag(dictionary));
|
|
|
|
|
|
|
|
this._sortTags(definitionTagsExpanded);
|
|
|
|
this._sortTags(termTagsExpanded);
|
|
|
|
|
|
|
|
const furiganaSegments = jp.distributeFurigana(expression, reading);
|
2020-10-04 22:10:10 +00:00
|
|
|
const termDetailsList = [this._createTermDetails(sourceTerm, expression, reading, furiganaSegments, termTags)];
|
2020-10-04 22:54:03 +00:00
|
|
|
const sourceTermExactMatchCount = (sourceTerm === expression ? 1 : 0);
|
2020-10-02 21:59:14 +00:00
|
|
|
|
|
|
|
return {
|
2020-10-04 15:12:15 +00:00
|
|
|
type: 'term',
|
|
|
|
id,
|
2020-10-02 21:59:14 +00:00
|
|
|
source,
|
|
|
|
rawSource,
|
2020-10-04 22:10:10 +00:00
|
|
|
sourceTerm,
|
2020-10-02 21:59:14 +00:00
|
|
|
reasons,
|
|
|
|
score,
|
2020-10-04 15:12:15 +00:00
|
|
|
sequence,
|
2020-10-02 21:59:14 +00:00
|
|
|
dictionary,
|
2020-10-04 15:12:15 +00:00
|
|
|
dictionaryPriority,
|
2020-10-07 00:28:49 +00:00
|
|
|
dictionaryNames: [dictionary],
|
2020-10-02 21:59:14 +00:00
|
|
|
expression,
|
|
|
|
reading,
|
2020-10-04 22:10:10 +00:00
|
|
|
expressions: termDetailsList,
|
2020-10-02 21:59:14 +00:00
|
|
|
furiganaSegments,
|
|
|
|
glossary,
|
|
|
|
definitionTags: definitionTagsExpanded,
|
|
|
|
termTags: termTagsExpanded,
|
2020-10-04 15:12:15 +00:00
|
|
|
// definitions
|
|
|
|
frequencies: [],
|
2020-10-04 22:54:03 +00:00
|
|
|
pitches: [],
|
2020-10-04 15:12:15 +00:00
|
|
|
// only
|
2020-10-04 22:54:03 +00:00
|
|
|
sourceTermExactMatchCount
|
2020-10-02 21:59:14 +00:00
|
|
|
};
|
|
|
|
}
|
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
_createGroupedTermDefinition(definitions) {
|
2020-10-04 22:10:10 +00:00
|
|
|
const {expression, reading, furiganaSegments, reasons, termTags, source, rawSource, sourceTerm} = definitions[0];
|
2020-10-04 15:12:15 +00:00
|
|
|
const score = this._getMaxDefinitionScore(definitions);
|
|
|
|
const dictionaryPriority = this._getMaxDictionaryPriority(definitions);
|
2020-10-07 00:28:49 +00:00
|
|
|
const dictionaryNames = this._getUniqueDictionaryNames(definitions);
|
2020-10-04 22:10:10 +00:00
|
|
|
const termDetailsList = [this._createTermDetails(sourceTerm, expression, reading, furiganaSegments, termTags)];
|
2020-10-04 22:54:03 +00:00
|
|
|
const sourceTermExactMatchCount = (sourceTerm === expression ? 1 : 0);
|
2020-10-04 15:12:15 +00:00
|
|
|
return {
|
|
|
|
type: 'termGrouped',
|
|
|
|
// id
|
|
|
|
source,
|
|
|
|
rawSource,
|
2020-10-04 22:10:10 +00:00
|
|
|
sourceTerm,
|
2020-10-04 15:12:15 +00:00
|
|
|
reasons: [...reasons],
|
|
|
|
score,
|
|
|
|
// sequence
|
2020-10-07 00:28:49 +00:00
|
|
|
dictionary: dictionaryNames[0],
|
2020-10-04 15:12:15 +00:00
|
|
|
dictionaryPriority,
|
2020-10-07 00:28:49 +00:00
|
|
|
dictionaryNames,
|
2020-10-04 15:12:15 +00:00
|
|
|
expression,
|
|
|
|
reading,
|
2020-10-04 22:10:10 +00:00
|
|
|
expressions: termDetailsList,
|
2020-10-04 15:12:15 +00:00
|
|
|
furiganaSegments, // Contains duplicate data
|
|
|
|
// glossary
|
|
|
|
// definitionTags
|
|
|
|
termTags: this._cloneTags(termTags),
|
2020-10-04 16:54:55 +00:00
|
|
|
definitions, // type: 'term'
|
2020-10-04 15:12:15 +00:00
|
|
|
frequencies: [],
|
2020-10-04 22:54:03 +00:00
|
|
|
pitches: [],
|
2020-10-04 15:12:15 +00:00
|
|
|
// only
|
2020-10-04 22:54:03 +00:00
|
|
|
sourceTermExactMatchCount
|
2020-10-04 15:12:15 +00:00
|
|
|
};
|
|
|
|
}
|
|
|
|
|
2020-10-07 00:28:49 +00:00
|
|
|
_createMergedTermDefinition(source, rawSource, definitions, expressions, readings, termDetailsList, reasons, score) {
|
2020-10-04 15:12:15 +00:00
|
|
|
const dictionaryPriority = this._getMaxDictionaryPriority(definitions);
|
2020-10-04 22:54:03 +00:00
|
|
|
const sourceTermExactMatchCount = this._getSourceTermMatchCountSum(definitions);
|
2020-10-07 00:28:49 +00:00
|
|
|
const dictionaryNames = this._getUniqueDictionaryNames(definitions);
|
2020-10-04 15:12:15 +00:00
|
|
|
return {
|
|
|
|
type: 'termMerged',
|
|
|
|
// id
|
|
|
|
source,
|
|
|
|
rawSource,
|
2020-10-04 22:10:10 +00:00
|
|
|
// sourceTerm
|
2020-10-04 15:12:15 +00:00
|
|
|
reasons,
|
|
|
|
score,
|
|
|
|
// sequence
|
2020-10-07 00:28:49 +00:00
|
|
|
dictionary: dictionaryNames[0],
|
2020-10-04 15:12:15 +00:00
|
|
|
dictionaryPriority,
|
2020-10-07 00:28:49 +00:00
|
|
|
dictionaryNames,
|
2020-10-04 15:12:15 +00:00
|
|
|
expression: expressions,
|
|
|
|
reading: readings,
|
2020-10-04 22:10:10 +00:00
|
|
|
expressions: termDetailsList,
|
2020-10-04 15:12:15 +00:00
|
|
|
// furiganaSegments
|
|
|
|
// glossary
|
|
|
|
// definitionTags
|
|
|
|
// termTags
|
2020-10-04 16:54:55 +00:00
|
|
|
definitions, // type: 'termMergedByGlossary'
|
2020-10-04 15:12:15 +00:00
|
|
|
frequencies: [],
|
2020-10-04 22:54:03 +00:00
|
|
|
pitches: [],
|
2020-10-04 15:12:15 +00:00
|
|
|
// only
|
2020-10-04 22:54:03 +00:00
|
|
|
sourceTermExactMatchCount
|
2020-10-04 15:12:15 +00:00
|
|
|
};
|
|
|
|
}
|
|
|
|
|
|
|
|
_createMergedGlossaryTermDefinition(source, rawSource, definitions, expressions, readings, allExpressions, allReadings) {
|
|
|
|
const only = [];
|
|
|
|
if (!areSetsEqual(expressions, allExpressions)) {
|
|
|
|
only.push(...getSetIntersection(expressions, allExpressions));
|
|
|
|
}
|
|
|
|
if (!areSetsEqual(readings, allReadings)) {
|
|
|
|
only.push(...getSetIntersection(readings, allReadings));
|
|
|
|
}
|
|
|
|
|
2020-10-04 22:54:03 +00:00
|
|
|
const sourceTermExactMatchCount = this._getSourceTermMatchCountSum(definitions);
|
2020-10-07 00:28:49 +00:00
|
|
|
const dictionaryNames = this._getUniqueDictionaryNames(definitions);
|
2020-10-04 22:54:03 +00:00
|
|
|
|
2020-10-04 22:10:10 +00:00
|
|
|
const termInfoMap = new Map();
|
|
|
|
this._addUniqueTermInfos(definitions, termInfoMap);
|
|
|
|
const termDetailsList = this._createTermDetailsListFromTermInfoMap(termInfoMap);
|
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
const definitionTags = this._getUniqueDefinitionTags(definitions);
|
|
|
|
this._sortTags(definitionTags);
|
|
|
|
|
2020-10-07 00:28:49 +00:00
|
|
|
const {glossary} = definitions[0];
|
2020-10-04 15:12:15 +00:00
|
|
|
const score = this._getMaxDefinitionScore(definitions);
|
|
|
|
const dictionaryPriority = this._getMaxDictionaryPriority(definitions);
|
|
|
|
return {
|
|
|
|
type: 'termMergedByGlossary',
|
|
|
|
// id
|
|
|
|
source,
|
|
|
|
rawSource,
|
2020-10-04 22:10:10 +00:00
|
|
|
// sourceTerm
|
2020-10-04 15:12:15 +00:00
|
|
|
reasons: [],
|
|
|
|
score,
|
|
|
|
// sequence
|
2020-10-07 00:28:49 +00:00
|
|
|
dictionary: dictionaryNames[0],
|
2020-10-04 15:12:15 +00:00
|
|
|
dictionaryPriority,
|
2020-10-07 00:28:49 +00:00
|
|
|
dictionaryNames,
|
2020-10-04 15:12:15 +00:00
|
|
|
expression: [...expressions],
|
|
|
|
reading: [...readings],
|
2020-10-04 22:10:10 +00:00
|
|
|
expressions: termDetailsList,
|
2020-10-04 15:12:15 +00:00
|
|
|
// furiganaSegments
|
|
|
|
glossary: [...glossary],
|
|
|
|
definitionTags,
|
|
|
|
// termTags
|
2020-10-04 16:54:55 +00:00
|
|
|
definitions, // type: 'term'; contains duplicate data
|
2020-10-04 15:12:15 +00:00
|
|
|
frequencies: [],
|
|
|
|
pitches: [],
|
2020-10-04 22:54:03 +00:00
|
|
|
only,
|
|
|
|
sourceTermExactMatchCount
|
2020-10-04 15:12:15 +00:00
|
|
|
};
|
|
|
|
}
|
|
|
|
|
2020-10-04 22:10:10 +00:00
|
|
|
_createTermDetailsListFromTermInfoMap(termInfoMap) {
|
|
|
|
const termDetailsList = [];
|
|
|
|
for (const [expression, readingMap] of termInfoMap.entries()) {
|
|
|
|
for (const [reading, {termTagsMap, sourceTerm, furiganaSegments}] of readingMap.entries()) {
|
|
|
|
const termTags = [...termTagsMap.values()];
|
|
|
|
this._sortTags(termTags);
|
|
|
|
termDetailsList.push(this._createTermDetails(sourceTerm, expression, reading, furiganaSegments, termTags));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return termDetailsList;
|
|
|
|
}
|
|
|
|
|
|
|
|
_createTermDetails(sourceTerm, expression, reading, furiganaSegments, termTags) {
|
2020-10-04 15:12:15 +00:00
|
|
|
const termFrequency = this._scoreToTermFrequency(this._getTermTagsScoreSum(termTags));
|
2020-10-02 21:59:14 +00:00
|
|
|
return {
|
2020-10-04 22:10:10 +00:00
|
|
|
sourceTerm,
|
2020-10-02 21:59:14 +00:00
|
|
|
expression,
|
|
|
|
reading,
|
2020-10-04 22:10:10 +00:00
|
|
|
furiganaSegments, // Contains duplicate data
|
2020-10-02 21:59:14 +00:00
|
|
|
termTags,
|
2020-10-04 15:12:15 +00:00
|
|
|
termFrequency,
|
|
|
|
frequencies: [],
|
|
|
|
pitches: []
|
2020-10-02 21:59:14 +00:00
|
|
|
};
|
2020-08-10 01:04:09 +00:00
|
|
|
}
|
|
|
|
|
2020-10-04 23:33:22 +00:00
|
|
|
// Sorting functions
|
|
|
|
|
2020-08-10 01:04:09 +00:00
|
|
|
_sortTags(tags) {
|
2020-10-02 21:59:14 +00:00
|
|
|
if (tags.length <= 1) { return; }
|
|
|
|
const stringComparer = this._stringComparer;
|
|
|
|
tags.sort((v1, v2) => {
|
|
|
|
const i = v1.order - v2.order;
|
|
|
|
if (i !== 0) { return i; }
|
2020-08-10 01:04:09 +00:00
|
|
|
|
2020-10-02 21:59:14 +00:00
|
|
|
return stringComparer.compare(v1.name, v2.name);
|
|
|
|
});
|
|
|
|
}
|
|
|
|
|
2020-10-04 15:12:15 +00:00
|
|
|
_sortDefinitions(definitions, useDictionaryPriority) {
|
2020-10-02 21:59:14 +00:00
|
|
|
if (definitions.length <= 1) { return; }
|
|
|
|
const stringComparer = this._stringComparer;
|
2020-10-04 15:12:15 +00:00
|
|
|
const compareFunction1 = (v1, v2) => {
|
|
|
|
let i = v2.source.length - v1.source.length;
|
2020-10-02 21:59:14 +00:00
|
|
|
if (i !== 0) { return i; }
|
|
|
|
|
|
|
|
i = v1.reasons.length - v2.reasons.length;
|
|
|
|
if (i !== 0) { return i; }
|
|
|
|
|
2020-10-04 22:54:03 +00:00
|
|
|
i = v2.sourceTermExactMatchCount - v1.sourceTermExactMatchCount;
|
|
|
|
if (i !== 0) { return i; }
|
|
|
|
|
2020-10-02 21:59:14 +00:00
|
|
|
i = v2.score - v1.score;
|
|
|
|
if (i !== 0) { return i; }
|
|
|
|
|
|
|
|
const expression1 = v1.expression;
|
|
|
|
const expression2 = v2.expression;
|
2020-10-04 23:04:21 +00:00
|
|
|
if (typeof expression1 !== 'string' || typeof expression2 !== 'string') { return 0; } // Skip if either is not a string (array)
|
|
|
|
|
2020-10-02 21:59:14 +00:00
|
|
|
i = expression2.length - expression1.length;
|
|
|
|
if (i !== 0) { return i; }
|
|
|
|
|
|
|
|
return stringComparer.compare(expression1, expression2);
|
2020-10-04 15:12:15 +00:00
|
|
|
};
|
|
|
|
const compareFunction2 = (v1, v2) => {
|
|
|
|
const i = v2.dictionaryPriority - v1.dictionaryPriority;
|
|
|
|
return (i !== 0) ? i : compareFunction1(v1, v2);
|
|
|
|
};
|
|
|
|
definitions.sort(useDictionaryPriority ? compareFunction2 : compareFunction1);
|
2020-10-02 21:59:14 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
_sortDatabaseDefinitionsByIndex(definitions) {
|
|
|
|
if (definitions.length <= 1) { return; }
|
|
|
|
definitions.sort((a, b) => a.index - b.index);
|
|
|
|
}
|
|
|
|
|
2020-10-05 02:04:44 +00:00
|
|
|
_sortDefinitionsById(definitions) {
|
|
|
|
if (definitions.length <= 1) { return; }
|
|
|
|
definitions.sort((a, b) => a.id - b.id);
|
|
|
|
}
|
|
|
|
|
2020-10-02 21:59:14 +00:00
|
|
|
_sortKanjiStats(stats) {
|
|
|
|
if (stats.length <= 1) { return; }
|
|
|
|
const stringComparer = this._stringComparer;
|
|
|
|
stats.sort((v1, v2) => {
|
|
|
|
const i = v1.order - v2.order;
|
|
|
|
if (i !== 0) { return i; }
|
|
|
|
|
|
|
|
return stringComparer.compare(v1.notes, v2.notes);
|
2020-08-10 01:04:09 +00:00
|
|
|
});
|
|
|
|
}
|
2016-03-20 17:52:27 +00:00
|
|
|
}
|