204 lines
6.1 KiB
TypeScript
204 lines
6.1 KiB
TypeScript
import TUIChatEngine, {
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IMessageModel,
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TUIChatService,
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TUIStore,
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TUITranslateService,
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TUIUserService,
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} from '@tencentcloud/chat-uikit-engine';
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import { IChatResponese, IUserProfile } from '../../../interface';
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/**
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* three type for origin text to be translated
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* 1. image: small face text
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* 2. text: plain text
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* 3. mention: mention '@'
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*/
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interface ITextFace {
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type: 'face';
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value: string;
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}
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interface ITextPlain {
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type: 'text';
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value: string;
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}
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interface ITextAt {
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type: 'mention';
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value: string;
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}
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export type TranslationTextType = ITextFace | ITextPlain | ITextAt;
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class Translator {
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public isUseCache = true;
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private translationCache = new Map<string, TranslationTextType[]>();
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private static instance: Translator | undefined = undefined;
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private constructor() {}
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static getInstance() {
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if (!Translator.instance) {
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Translator.instance = new Translator();
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}
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return Translator.instance;
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}
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async get(message: IMessageModel): Promise<TranslationTextType[]> {
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// step1: check in cache if translation exist
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if (this.isUseCache) {
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const cache = this.translationCache.get(message.ID);
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if (cache !== undefined) {
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return cache;
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}
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}
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// step2: get message model with prototype methods
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const currentMessage: IMessageModel = TUIStore.getMessageModel(message.ID);
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if (!currentMessage) {
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return [];
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}
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const { text } = currentMessage.getMessageContent() || {};
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const textList: TranslationTextType[] = [];
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const splittingList = await this.getNickList(currentMessage);
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// step3: Categorize origin messages to 'plain text', 'face', 'mention'
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for (let i = 0; i < text.length; ++i) {
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const item = text[i];
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if (item.name === 'img') {
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textList.push({ type: 'face', value: item.src });
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continue;
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}
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const { transSplitingList, atNickList } = this.getSplitResult(item.text, splittingList);
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for (let j = 0; j < transSplitingList.length; ++j) {
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textList.push({ type: 'text', value: transSplitingList[j] });
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if (j < atNickList.length) {
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textList.push({ type: 'mention', value: atNickList[j] });
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}
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}
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}
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// step4: filter plain text to be translated
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const needTranslateTextIndex: number[] = [];
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const needTranslateText = textList.filter((item, index) => {
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if (item.type === 'text' && item.value.trim() !== '') {
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needTranslateTextIndex.push(index);
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return true;
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}
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return false;
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}).map(item => item.value);
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if (needTranslateText.length === 0) {
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this.translationCache.set(currentMessage.ID, textList);
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return textList;
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}
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// step5: get final translation result
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const translationResult = await this.getTranslationStandard(needTranslateText) as string[];
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translationResult.forEach((item, index) => {
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textList[needTranslateTextIndex[index]].value = item;
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});
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// step6: cache translation result
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this.translationCache.set(currentMessage.ID, textList);
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return textList;
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}
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/**
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* Clears the translation cache.
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*/
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clear() {
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this.translationCache.clear();
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}
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disableCache() {
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this.isUseCache = false;
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}
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enableCache() {
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this.isUseCache = true;
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}
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private getTranslationStandard(originTextList: string[]): Promise<string[]> {
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return new Promise((resolve, reject) => {
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TUIChatService.translateText({
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sourceTextList: originTextList,
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sourceLanguage: 'auto',
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})
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.then((response: IChatResponese<{ translatedTextList: string[] }>) => {
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const {
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data: { translatedTextList },
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} = response;
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resolve(translatedTextList);
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})
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.catch((error) => {
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reject(error);
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});
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});
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}
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/**
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* the nick list is used to split the text by @ + {nick or userID}
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* @param message
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* @returns e.g. ['@james', '@john']
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*/
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private async getNickList(message: IMessageModel): Promise<string[]> {
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const splittingList: string[] = [];
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const { atUserList = [] } = message;
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const atAllID: string = TUIChatEngine.TYPES.MSG_AT_ALL;
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if (atUserList.includes(atAllID)) {
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splittingList.push(`@${TUITranslateService.t('TUIChat.所有人')}`);
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}
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if (atUserList.length > 0) {
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const { data: userProfileList } = await TUIUserService.getUserProfile({ userIDList: atUserList }) as IChatResponese<IUserProfile[]>;
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userProfileList.forEach((user) => {
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const atNick = `@${user.nick || user.userID}`;
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splittingList.push(atNick);
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});
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}
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return [...new Set(splittingList)];
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}
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/**
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* Splits the given text into substrings based on the provided splitString array.
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*
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* @param {string} text - The text to be split.
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* @param {string[]} splitString - The array of strings to split the text by.
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* @return {{ transSplitingList: string[]; atNickList: string[] }} - An object containing two arrays:
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* - transSplitingList: An array of substrings extracted from the text.
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* - atNickList: An array of split strings that were found in the text.
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*/
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private getSplitResult(text: string, splitString: string[]): { transSplitingList: string[]; atNickList: string[] } {
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let searchStartPos = 0;
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const transSplitingList: string[] = [];
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const atNickList: string[] = [];
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while (searchStartPos < text.length) {
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const nextAtCharPos = text.indexOf('@', searchStartPos);
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if (nextAtCharPos === -1) {
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transSplitingList.push(text.substring(searchStartPos));
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break;
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}
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let found = false;
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for (let i = 0; i < splitString.length; ++i) {
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const pos = text.indexOf(splitString[i], nextAtCharPos);
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if (pos !== -1 && pos === nextAtCharPos) {
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transSplitingList.push(text.substring(searchStartPos, pos));
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atNickList.push(splitString[i]);
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searchStartPos = pos + splitString[i].length;
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found = true;
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break;
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}
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}
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if (!found) {
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transSplitingList.push(text.substring(searchStartPos));
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break;
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}
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}
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return {
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transSplitingList,
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atNickList,
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};
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}
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}
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export const translator = Translator.getInstance();
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