449 lines
16 KiB
JavaScript
449 lines
16 KiB
JavaScript
// @flow
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import { EMOTES_48px as EMOTES } from 'constants/emotes';
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import { matchSorter } from 'match-sorter';
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import { SEARCH_OPTIONS } from 'constants/search';
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import * as KEYCODES from 'constants/keycodes';
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import Autocomplete from '@mui/material/Autocomplete';
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import BusyIndicator from 'component/common/busy-indicator';
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import EMOJIS from 'emoji-dictionary';
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import Popper from '@mui/material/Popper';
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import React from 'react';
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import useLighthouse from 'effects/use-lighthouse';
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import useThrottle from 'effects/use-throttle';
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import { parseURI } from 'util/lbryURI';
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import TextareaSuggestionsOption from './render-option';
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import TextareaSuggestionsInput from './render-input';
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import TextareaSuggestionsGroup from './render-group';
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const SUGGESTION_REGEX = new RegExp(
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'((?:^| |\n)@[^\\s=&#$@%?:;/\\"<>%{}|^~[]*(?::[\\w]+)?)|((?:^| |\n):[\\w+-]*:?)',
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'gm'
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);
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/** Regex Explained step-by-step:
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*
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* 1) ()|() = different capturing groups (either Mention or Emote)
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* 2) (?:^| |\n) = only allow for: sentence beginning, space or newline before the match (no words or symbols)
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* 3) [^\s=&#$@%?:;/\\"<>%{}|^~[]* = anything, except the characters inside
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* 4) (?::[\w]+)? = A mention can be matched with a ':' as a claim modifier with words or digits after as ID digits,
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* or else it's everything before the ':' (will then match the winning uri for the mention behind since has no canonical ID)
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* 5) :\w*:? = the emote Regex, possible to be matched with a ':' at the end to consider previously typed emotes
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*
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*/
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const SEARCH_SIZE = 10;
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const LIGHTHOUSE_MIN_CHARACTERS = 3;
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const INPUT_DEBOUNCE_MS = 1000;
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const EMOJI_MIN_CHARACTERS = 2;
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type Props = {
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canonicalCommentors?: Array<string>,
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canonicalCreatorUri?: string,
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canonicalSearch?: Array<string>,
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canonicalSubscriptions?: Array<string>,
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canonicalTop?: string,
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className?: string,
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commentorUris?: Array<string>,
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disabled?: boolean,
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hasNewResolvedResults?: boolean,
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id: string,
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inputRef: any,
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isLivestream?: boolean,
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maxLength?: number,
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placeholder?: string,
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searchQuery?: string,
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type?: string,
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uri?: string,
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value: any,
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autoFocus?: boolean,
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submitButtonRef?: any,
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claimIsMine?: boolean,
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slimInput?: boolean,
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doResolveUris: (uris: Array<string>, cache: boolean) => void,
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doSetMentionSearchResults: (query: string, uris: Array<string>) => void,
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onBlur: (any) => any,
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onChange: (any) => any,
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onFocus: (any) => any,
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toggleSelectors: () => any,
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handleTip: (isLBC: boolean) => any,
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handleSubmit: () => any,
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handlePreventClick?: () => void,
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};
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export default function TextareaWithSuggestions(props: Props) {
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const {
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canonicalCommentors,
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canonicalCreatorUri,
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canonicalSearch,
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canonicalSubscriptions: canonicalSubs,
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canonicalTop,
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className,
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commentorUris,
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disabled,
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hasNewResolvedResults,
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id,
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inputRef,
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isLivestream,
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maxLength,
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placeholder,
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searchQuery,
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type,
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value: messageValue,
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autoFocus,
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submitButtonRef,
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claimIsMine,
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slimInput,
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doResolveUris,
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doSetMentionSearchResults,
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onBlur,
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onChange,
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onFocus,
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toggleSelectors,
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handleTip,
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handleSubmit,
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handlePreventClick,
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} = props;
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const inputDefaultProps = { className, placeholder, maxLength, type, disabled };
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const [suggestionValue, setSuggestionValue] = React.useState(undefined);
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const [highlightedSuggestion, setHighlightedSuggestion] = React.useState('');
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const [shouldClose, setClose] = React.useState();
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const [debouncedTerm, setDebouncedTerm] = React.useState('');
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const suggestionTerm = suggestionValue && suggestionValue.term;
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const isEmote = Boolean(suggestionValue && suggestionValue.isEmote);
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const isMention = suggestionValue && !suggestionValue.isEmote;
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let invalidTerm = suggestionTerm && isMention && suggestionTerm.charAt(1) === ':';
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if (isMention && suggestionTerm) {
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try {
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parseURI(suggestionTerm);
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} catch (error) {
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invalidTerm = true;
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}
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}
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const additionalOptions = { isBackgroundSearch: false, [SEARCH_OPTIONS.CLAIM_TYPE]: SEARCH_OPTIONS.INCLUDE_CHANNELS };
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const { results, loading } = useLighthouse(debouncedTerm, false, SEARCH_SIZE, additionalOptions, 0);
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const stringifiedResults = JSON.stringify(results);
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const hasMinLength = suggestionTerm && isMention && suggestionTerm.length >= LIGHTHOUSE_MIN_CHARACTERS;
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const isTyping = isMention && debouncedTerm !== suggestionTerm;
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const showPlaceholder =
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isMention && !invalidTerm && (isTyping || loading || (results && results.length > 0 && !hasNewResolvedResults));
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const shouldFilter = (uri, previous) => uri !== canonicalCreatorUri && (!previous || !previous.includes(uri));
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const filteredCommentors = canonicalCommentors && canonicalCommentors.filter((uri) => shouldFilter(uri));
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const filteredSubs = canonicalSubs && canonicalSubs.filter((uri) => shouldFilter(uri, filteredCommentors));
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const filteredTop =
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canonicalTop &&
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shouldFilter(canonicalTop, filteredSubs) &&
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shouldFilter(canonicalTop, filteredCommentors) &&
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canonicalTop;
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const filteredSearch =
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canonicalSearch &&
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canonicalSearch.filter(
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(uri) => shouldFilter(uri, filteredSubs) && shouldFilter(uri, filteredCommentors) && uri !== filteredTop
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);
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let emoteNames;
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let emojiNames;
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const allOptions = [];
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if (isEmote) {
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emoteNames = EMOTES.map(({ name }) => name);
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const hasMinEmojiLength = suggestionTerm && suggestionTerm.length > EMOJI_MIN_CHARACTERS;
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// Filter because our emotes are priority from default emojis, like :eggplant:
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emojiNames = hasMinEmojiLength ? EMOJIS.names.filter((name) => !emoteNames.includes(`:${name}:`)) : [];
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const emotesAndEmojis = [...emoteNames, ...emojiNames];
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allOptions.push(...emotesAndEmojis);
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} else {
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if (canonicalCreatorUri) allOptions.push(canonicalCreatorUri);
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if (filteredSubs) allOptions.push(...filteredSubs);
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if (filteredCommentors) allOptions.push(...filteredCommentors);
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if (filteredTop) allOptions.push(filteredTop);
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if (filteredSearch) allOptions.push(...filteredSearch);
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}
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const allOptionsGrouped =
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allOptions.length > 0
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? allOptions.map((option) => {
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const groupName = isEmote
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? (emoteNames.includes(option) && __('Emotes')) || (emojiNames.includes(option) && __('Emojis'))
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: (canonicalCreatorUri === option && __('Creator')) ||
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(filteredSubs && filteredSubs.includes(option) && __('Following')) ||
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(filteredCommentors && filteredCommentors.includes(option) && __('From Comments')) ||
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(filteredTop && filteredTop === option && 'Top') ||
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(filteredSearch && filteredSearch.includes(option) && __('From Search'));
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let emoteLabel;
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if (isEmote) {
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// $FlowFixMe
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emoteLabel = `:${option.replace(/:/g, '')}:`;
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}
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return {
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label: emoteLabel || option.replace('lbry://', '').replace('#', ':'),
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group: groupName,
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};
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})
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: [];
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const allMatches =
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useSuggestionMatch(
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suggestionTerm || '',
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allOptionsGrouped.map(({ label }) => label)
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) || [];
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/** --------- **/
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/** Functions **/
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/** --------- **/
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function handleInputChange(value: string) {
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onChange({ target: { value } });
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const cursorIndex = inputRef && inputRef.current && inputRef.current.selectionStart;
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const suggestionMatches = value.match(SUGGESTION_REGEX);
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if (!suggestionMatches) {
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if (suggestionValue) setSuggestionValue(null);
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return; // Exit here and avoid unnecessary behavior
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}
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const exec = SUGGESTION_REGEX.exec(value);
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const previousLastIndexes = [];
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let isEmote = exec && exec[2];
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let currentSuggestionIndex = exec && exec.index;
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let currentLastIndex = exec && SUGGESTION_REGEX.lastIndex;
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let currentSuggestionValue =
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cursorIndex >= currentSuggestionIndex &&
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cursorIndex <= currentLastIndex &&
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suggestionMatches &&
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suggestionMatches[0];
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if (suggestionMatches && suggestionMatches.length > 1) {
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currentSuggestionValue = suggestionMatches.find((match, index) => {
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const previousLastIndex = previousLastIndexes[index - 1] || 0;
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const valueWithoutPrevious = value.substring(previousLastIndex);
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const tempRe = new RegExp(SUGGESTION_REGEX);
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const tempExec = tempRe.exec(valueWithoutPrevious);
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if (tempExec) {
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isEmote = tempExec && tempExec[2];
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currentSuggestionIndex = previousLastIndex + tempExec.index;
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currentLastIndex = previousLastIndex + tempRe.lastIndex;
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previousLastIndexes.push(currentLastIndex);
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}
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// the current mention term will be the one on the text cursor's range,
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// in case of there being more in the same comment message
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if (previousLastIndexes) {
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return cursorIndex >= currentSuggestionIndex && cursorIndex <= currentLastIndex;
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}
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});
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}
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if (currentSuggestionValue) {
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const token = isEmote ? ':' : '@';
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const tokenIndex = currentSuggestionValue.indexOf(token);
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if (inputRef && inputRef.current) inputRef.current.setAttribute('typing-term', '');
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// $FlowFixMe
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setSuggestionValue({
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beforeTerm: currentSuggestionValue.substring(0, tokenIndex), // in case of a space or newline
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term: currentSuggestionValue.substring(tokenIndex),
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index: currentSuggestionIndex,
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lastIndex: currentLastIndex,
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isEmote,
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});
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} else if (suggestionValue) {
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inputRef.current.removeAttribute('typing-term');
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setSuggestionValue(null);
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}
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}
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const handleSelect = React.useCallback(
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(selectedValue: string, key?: number) => {
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if (!suggestionValue) return;
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const elem = inputRef && inputRef.current;
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const newCursorPos = suggestionValue.beforeTerm.length + suggestionValue.index + selectedValue.length + 1;
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const contentBegin = messageValue.substring(0, suggestionValue.index);
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const replaceValue = suggestionValue.beforeTerm + selectedValue;
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const contentEnd =
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messageValue.length > suggestionValue.lastIndex
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? messageValue.substring(suggestionValue.lastIndex, messageValue.length)
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: ' ';
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const newValue = contentBegin + replaceValue + contentEnd;
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onChange({ target: { value: newValue } });
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setSuggestionValue(null);
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// no keycode === was selected with TAB (function was called by effect) or on click
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// ENTER is handled on commentCreate after attempting to send on livestream
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if (!key && inputRef && inputRef.current) inputRef.current.removeAttribute('typing-term');
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elem.focus();
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elem.setSelectionRange(newCursorPos, newCursorPos);
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},
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[messageValue, inputRef, onChange, suggestionValue]
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);
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/** ------- **/
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/** Effects **/
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/** ------- **/
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React.useEffect(() => {
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if (!autoFocus) return;
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const inputElement = inputRef && inputRef.current;
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if (inputElement) {
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inputElement.focus();
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if (messageValue) inputElement.setSelectionRange(messageValue.length, messageValue.length);
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}
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}, [autoFocus, inputRef, messageValue]);
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React.useEffect(() => {
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if (!isMention) return;
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if (isTyping && suggestionTerm && !invalidTerm) {
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const timer = setTimeout(() => {
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setDebouncedTerm(!hasMinLength ? '' : suggestionTerm);
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}, INPUT_DEBOUNCE_MS);
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return () => clearTimeout(timer);
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}
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}, [hasMinLength, invalidTerm, isMention, isTyping, suggestionTerm]);
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React.useEffect(() => {
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if (!stringifiedResults) return;
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const arrayResults = JSON.parse(stringifiedResults);
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if (debouncedTerm && arrayResults && arrayResults.length > 0) {
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doResolveUris([debouncedTerm, ...arrayResults], true);
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doSetMentionSearchResults(debouncedTerm, arrayResults);
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}
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}, [debouncedTerm, doResolveUris, doSetMentionSearchResults, stringifiedResults, suggestionTerm]);
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// Only resolve commentors on Livestreams when first trying to mention/looking for it
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React.useEffect(() => {
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if (isLivestream && commentorUris && suggestionTerm) doResolveUris(commentorUris, true);
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}, [commentorUris, doResolveUris, isLivestream, suggestionTerm]);
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// Allow selecting with TAB key
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React.useEffect(() => {
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if (!suggestionTerm) return; // only if there is a term, or else can't tab to navigate page
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function handleKeyDown(e: SyntheticKeyboardEvent<*>) {
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const { keyCode } = e;
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if (highlightedSuggestion && keyCode === KEYCODES.TAB) {
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e.preventDefault();
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handleSelect(highlightedSuggestion.label);
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}
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}
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window.addEventListener('keydown', handleKeyDown);
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return () => window.removeEventListener('keydown', handleKeyDown);
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}, [handleSelect, highlightedSuggestion, suggestionTerm]);
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// Prevent keyboard keys Up and Down being overriden by MUI listeners when not in use
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React.useEffect(() => {
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const inputElement = inputRef && inputRef.current;
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function overrideKeyHandling(event) {
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const { keyCode } = event;
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if (!suggestionTerm && (keyCode === KEYCODES.UP || keyCode === KEYCODES.DOWN)) {
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event.stopPropagation();
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}
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}
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if (inputElement) {
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inputElement.addEventListener('keydown', overrideKeyHandling);
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}
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return () => {
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if (inputElement) {
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inputElement.removeEventListener('keydown', overrideKeyHandling);
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}
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};
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}, [inputRef, suggestionTerm]);
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/** ------ **/
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/** Render **/
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/** ------ **/
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return (
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<Autocomplete
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PopperComponent={AutocompletePopper}
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autoHighlight
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disableClearable
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filterOptions={(options) => options.filter(({ label }) => allMatches.includes(label))}
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freeSolo
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fullWidth
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getOptionLabel={(option) => option.label || ''}
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groupBy={(option) => option.group}
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id={id}
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inputValue={messageValue}
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loading={allMatches.length === 0 || showPlaceholder}
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loadingText={showPlaceholder ? <BusyIndicator message={__('Searching...')} /> : __('Nothing found')}
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onBlur={() => onBlur && onBlur()}
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/* Different from onInputChange, onChange is only used for the selected value,
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so here it is acting simply as a selection handler (see it as onSelect) */
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onChange={(event, value) => handleSelect(value.label, event.keyCode)}
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onClose={(event, reason) => reason !== 'selectOption' && setClose(true)}
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onFocus={() => onFocus && onFocus()}
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onHighlightChange={(event, option) => setHighlightedSuggestion(option)}
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onInputChange={(event, value, reason) => reason === 'input' && handleInputChange(value)}
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onOpen={() => suggestionTerm && setClose(false)}
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/* 'open' is for the popper box component, set to check for a valid term
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or else it will be displayed all the time as empty (no options) */
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open={!!suggestionTerm && !shouldClose}
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options={allOptionsGrouped}
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renderGroup={({ group, children }) => (
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<TextareaSuggestionsGroup groupName={group} suggestionTerm={suggestionTerm} searchQuery={searchQuery}>
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{children}
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</TextareaSuggestionsGroup>
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)}
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renderInput={(params) => (
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<TextareaSuggestionsInput
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params={params}
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messageValue={messageValue}
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inputRef={inputRef}
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inputDefaultProps={inputDefaultProps}
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toggleSelectors={toggleSelectors}
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handleTip={handleTip}
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handleSubmit={handleSubmit}
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handlePreventClick={handlePreventClick}
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submitButtonRef={submitButtonRef}
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claimIsMine={claimIsMine}
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slimInput={slimInput}
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/>
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)}
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renderOption={(optionProps, option) => (
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<TextareaSuggestionsOption label={option.label} isEmote={isEmote} optionProps={optionProps} />
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)}
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/>
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);
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}
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const AutocompletePopper = (props: any) => <Popper {...props} placement="top" />;
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function useSuggestionMatch(term: string, list: Array<string>) {
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const throttledTerm = useThrottle(term);
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return React.useMemo(() => {
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return !throttledTerm || throttledTerm.trim() === ''
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? undefined
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: matchSorter(list, term, { keys: [(item) => item] });
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}, [list, term, throttledTerm]);
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}
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