Files
cinny/src/app/hooks/useAsyncSearch.ts
T
Lotus Bot 23008670f3
CI / Build & Quality Checks (push) Successful in 10m13s
chore: upgrade i18next 26, prettier 3, fontsource-variable, domhandler 6, lint-staged 17
- i18next 23->26 + react-i18next 15->17
- prettier 2->3, reformat all files
- replace @fontsource/inter with @fontsource-variable/inter 5, update import path
- domhandler 5->6 (aligns with transitive deps)
- lint-staged 16->17
2026-05-21 23:30:50 -04:00

156 lines
5.0 KiB
TypeScript

import { useCallback, useEffect, useMemo, useState } from 'react';
import {
MatchHandler,
AsyncSearch,
AsyncSearchHandler,
AsyncSearchOption,
MatchQueryOption,
NormalizeOption,
normalize,
matchQuery,
ResultHandler,
} from '../utils/AsyncSearch';
import { sanitizeForRegex } from '../utils/regex';
export type UseAsyncSearchOptions = AsyncSearchOption & {
matchOptions?: MatchQueryOption;
normalizeOptions?: NormalizeOption;
};
export type SearchItemStrGetter<TSearchItem extends object | string | number> = (
searchItem: TSearchItem,
query: string,
) => string | string[];
export type UseAsyncSearchResult<TSearchItem extends object | string | number> = {
query: string;
items: TSearchItem[];
};
export type SearchResetHandler = () => void;
const performMatch = (
target: string | string[],
query: string,
options?: UseAsyncSearchOptions,
): string | undefined => {
if (Array.isArray(target)) {
const matchTarget = target.find((i) =>
matchQuery(normalize(i, options?.normalizeOptions), query, options?.matchOptions),
);
return matchTarget ? normalize(matchTarget, options?.normalizeOptions) : undefined;
}
const normalizedTargetStr = normalize(target, options?.normalizeOptions);
const matches = matchQuery(normalizedTargetStr, query, options?.matchOptions);
return matches ? normalizedTargetStr : undefined;
};
export const orderSearchItems = <TSearchItem extends object | string | number>(
query: string,
items: TSearchItem[],
getItemStr: SearchItemStrGetter<TSearchItem>,
options?: UseAsyncSearchOptions,
): TSearchItem[] => {
const orderedItems: TSearchItem[] = Array.from(items);
// we will consider "_" as word boundary char.
// because in more use-cases it is used. (like: emojishortcode)
const boundaryRegex = new RegExp(`(\\b|_)${sanitizeForRegex(query)}`);
const perfectBoundaryRegex = new RegExp(`(\\b|_)${sanitizeForRegex(query)}(\\b|_)`);
orderedItems.sort((i1, i2) => {
const str1 = performMatch(getItemStr(i1, query), query, options);
const str2 = performMatch(getItemStr(i2, query), query, options);
if (str1 === undefined && str2 === undefined) return 0;
if (str1 === undefined) return 1;
if (str2 === undefined) return -1;
let points1 = 0;
let points2 = 0;
// short string should score more
const pointsToSmallStr = (points: number) => {
if (str1.length < str2.length) points1 += points;
else if (str2.length < str1.length) points2 += points;
};
pointsToSmallStr(1);
// closes query match should score more
const indexIn1 = str1.indexOf(query);
const indexIn2 = str2.indexOf(query);
if (indexIn1 < indexIn2) points1 += 2;
else if (indexIn2 < indexIn1) points2 += 2;
else pointsToSmallStr(2);
// query match word start on boundary should score more
const boundaryIn1 = str1.match(boundaryRegex);
const boundaryIn2 = str2.match(boundaryRegex);
if (boundaryIn1 && boundaryIn2) pointsToSmallStr(4);
else if (boundaryIn1) points1 += 4;
else if (boundaryIn2) points2 += 4;
// query match word start and end on boundary should score more
const perfectBoundaryIn1 = str1.match(perfectBoundaryRegex);
const perfectBoundaryIn2 = str2.match(perfectBoundaryRegex);
if (perfectBoundaryIn1 && perfectBoundaryIn2) pointsToSmallStr(8);
else if (perfectBoundaryIn1) points1 += 8;
else if (perfectBoundaryIn2) points2 += 8;
return points2 - points1;
});
return orderedItems;
};
export const useAsyncSearch = <TSearchItem extends object | string | number>(
list: TSearchItem[],
getItemStr: SearchItemStrGetter<TSearchItem>,
options?: UseAsyncSearchOptions,
): [UseAsyncSearchResult<TSearchItem> | undefined, AsyncSearchHandler, SearchResetHandler] => {
const [result, setResult] = useState<UseAsyncSearchResult<TSearchItem>>();
const [searchCallback, terminateSearch] = useMemo(() => {
setResult(undefined);
const handleMatch: MatchHandler<TSearchItem> = (item, query) => {
const itemStr = getItemStr(item, query);
const strWithMatch = performMatch(itemStr, query, options);
return typeof strWithMatch === 'string';
};
const handleResult: ResultHandler<TSearchItem> = (results, query) =>
setResult({
query,
items: orderSearchItems(query, results, getItemStr, options),
});
return AsyncSearch(list, handleMatch, handleResult, options);
}, [list, options, getItemStr]);
const searchHandler: AsyncSearchHandler = useCallback(
(query) => {
const normalizedQuery = normalize(query, options?.normalizeOptions);
searchCallback(normalizedQuery);
},
[searchCallback, options?.normalizeOptions],
);
const resetHandler: SearchResetHandler = useCallback(() => {
terminateSearch();
setResult(undefined);
}, [terminateSearch]);
useEffect(
() => () => {
// terminate any ongoing search request on unmount.
terminateSearch();
},
[terminateSearch],
);
return [result, searchHandler, resetHandler];
};