180 lines
5.0 KiB
TypeScript
180 lines
5.0 KiB
TypeScript
import { useEffect, useState } from 'react';
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import { Q } from '@nozbe/watermelondb';
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import { IAutocompleteEmoji, IAutocompleteUserRoom, TAutocompleteItem, TAutocompleteType } from '../interfaces';
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import { search } from '../../../lib/methods';
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import { sanitizeLikeString } from '../../../lib/database/utils';
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import database from '../../../lib/database';
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import { emojis } from '../../../lib/constants';
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import { ICustomEmoji } from '../../../definitions';
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import { Services } from '../../../lib/services';
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import log from '../../../lib/methods/helpers/log';
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import I18n from '../../../i18n';
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import { NO_CANNED_RESPONSES } from '../constants';
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const MENTIONS_COUNT_TO_DISPLAY = 4;
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const getCustomEmojis = async (keyword: string): Promise<ICustomEmoji[]> => {
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const likeString = sanitizeLikeString(keyword);
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const whereClause = [];
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if (likeString) {
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whereClause.push(Q.where('name', Q.like(`${likeString}%`)));
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}
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const db = database.active;
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const customEmojisCollection = db.get('custom_emojis');
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const customEmojis = await (await customEmojisCollection.query(...whereClause).fetch())
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.slice(0, MENTIONS_COUNT_TO_DISPLAY)
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.map(emoji => ({
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name: emoji.name,
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extension: emoji.extension
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}));
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return customEmojis;
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};
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export const useAutocomplete = ({
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text,
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type,
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rid,
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commandParams
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}: {
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rid?: string;
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type: TAutocompleteType;
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text: string;
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commandParams?: string;
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}): TAutocompleteItem[] => {
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const [items, setItems] = useState<TAutocompleteItem[]>([]);
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useEffect(() => {
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const getAutocomplete = async () => {
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try {
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if (!rid || !type) {
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setItems([]);
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return;
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}
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// remove existing loading skeleton from items
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const loadingIndex = items.findIndex(item => item.id === 'loading');
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if (loadingIndex !== -1) {
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items.splice(loadingIndex, 1);
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}
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// add loading skeleton
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items.unshift({ id: 'loading', type: 'loading' });
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setItems(items);
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if (type === '@' || type === '#') {
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const res = await search({ text, filterRooms: type === '#', filterUsers: type === '@', rid });
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const parsedRes: IAutocompleteUserRoom[] = res
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// TODO: need to refactor search to have a more predictable return type
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.map((item: any) => ({
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id: type === '@' ? item._id : item.rid,
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title: item.fname || item.name || item.username,
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subtitle: item.username || item.name,
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outside: item.outside,
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t: item.t ?? 'd',
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status: item.status,
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teamMain: item.teamMain,
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type
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})) as IAutocompleteUserRoom[];
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if (type === '@') {
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if ('all'.includes(text.toLocaleLowerCase())) {
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parsedRes.push({
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id: 'all',
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title: 'all',
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subtitle: I18n.t('Notify_all_in_this_room'),
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type,
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t: 'd'
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});
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}
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if ('here'.includes(text.toLocaleLowerCase())) {
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parsedRes.push({
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id: 'here',
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title: 'here',
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subtitle: I18n.t('Notify_active_in_this_room'),
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type,
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t: 'd'
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});
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}
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}
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setItems(parsedRes);
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}
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if (type === ':') {
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const customEmojis = await getCustomEmojis(text);
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const filteredStandardEmojis = emojis.filter(emoji => emoji.indexOf(text) !== -1).slice(0, MENTIONS_COUNT_TO_DISPLAY);
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let mergedEmojis: IAutocompleteEmoji[] = customEmojis.map(emoji => ({
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id: emoji.name,
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emoji,
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type
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}));
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mergedEmojis = mergedEmojis.concat(
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filteredStandardEmojis.map(emoji => ({
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id: emoji,
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emoji,
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type
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}))
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);
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setItems(mergedEmojis);
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}
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if (type === '/') {
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const db = database.active;
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const commandsCollection = db.get('slash_commands');
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const likeString = sanitizeLikeString(text);
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const commands = await (
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await commandsCollection.query(Q.where('id', Q.like(`${likeString}%`))).fetch()
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).map(command => ({
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id: command.id,
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title: command.id,
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subtitle: command.description,
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type
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}));
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setItems(commands);
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}
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if (type === '/preview') {
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if (!commandParams) {
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setItems([]);
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return;
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}
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const response = await Services.getCommandPreview(text, rid, commandParams);
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if (response.success) {
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const previewItems = (response.preview?.items || []).map(item => ({
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id: item.id,
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preview: item,
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type,
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text,
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params: commandParams
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}));
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setItems(previewItems);
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}
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}
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if (type === '!') {
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const res = await Services.getListCannedResponse({ text });
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if (res.success) {
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if (res.cannedResponses.length === 0) {
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setItems([
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{
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id: NO_CANNED_RESPONSES,
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title: NO_CANNED_RESPONSES,
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type
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}
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]);
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return;
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}
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const cannedResponses = res.cannedResponses.map(cannedResponse => ({
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id: cannedResponse._id,
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title: cannedResponse.shortcut,
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subtitle: cannedResponse.text,
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type
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}));
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setItems(cannedResponses);
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}
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}
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} catch (e) {
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log(e);
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setItems([]);
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}
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};
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getAutocomplete();
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}, [text, type, rid, commandParams]);
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return items;
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};
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