jiuyiUniapp/jiuyi/TUIKit/components/TUIChat/utils/translation.ts

204 lines
6.1 KiB
TypeScript

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