Files
FastGPT/packages/global/core/dataset/search/utils.ts
Theresa 2d3117c5da feat: update ESLint config with @typescript-eslint/consistent-type-imports (#4746)
* update: Add type

* fix: update import statement for NextApiRequest type

* fix: update imports to use type for LexicalEditor and EditorState

* Refactor imports to use 'import type' for type-only imports across multiple files

- Updated imports in various components and API files to use 'import type' for better clarity and to optimize TypeScript's type checking.
- Ensured consistent usage of type imports in files related to chat, dataset, workflow, and user management.
- Improved code readability and maintainability by distinguishing between value and type imports.

* refactor: remove old ESLint configuration and add new rules

- Deleted the old ESLint configuration file from the app project.
- Added a new ESLint configuration file with updated rules and settings.
- Changed imports to use type-only imports in various files for better clarity and performance.
- Updated TypeScript configuration to remove unnecessary options.
- Added an ESLint ignore file to exclude build and dependency directories from linting.

* fix: update imports to use 'import type' for type-only imports in schema files
2025-05-06 17:33:09 +08:00

73 lines
2.0 KiB
TypeScript

import { SearchScoreTypeEnum } from '../constants';
import { type SearchDataResponseItemType } from '../type';
/* dataset search result concat */
export const datasetSearchResultConcat = (
arr: { k: number; list: SearchDataResponseItemType[] }[]
): SearchDataResponseItemType[] => {
arr = arr.filter((item) => item.list.length > 0);
if (arr.length === 0) return [];
if (arr.length === 1) return arr[0].list;
const map = new Map<string, SearchDataResponseItemType & { rrfScore: number }>();
// rrf
arr.forEach((item) => {
const k = item.k;
item.list.forEach((data, index) => {
const rank = index + 1;
const score = 1 / (k + rank);
const record = map.get(data.id);
if (record) {
// 合并两个score,有相同type的score,取最大值
const concatScore = [...record.score];
for (const dataItem of data.score) {
const sameScore = concatScore.find((item) => item.type === dataItem.type);
if (sameScore) {
sameScore.value = Math.max(sameScore.value, dataItem.value);
} else {
concatScore.push(dataItem);
}
}
map.set(data.id, {
...record,
score: concatScore,
rrfScore: record.rrfScore + score
});
} else {
map.set(data.id, {
...data,
rrfScore: score
});
}
});
});
// sort
const mapArray = Array.from(map.values());
const results = mapArray.sort((a, b) => b.rrfScore - a.rrfScore);
return results.map((item, index) => {
// if SearchScoreTypeEnum.rrf exist, reset score
const rrfScore = item.score.find((item) => item.type === SearchScoreTypeEnum.rrf);
if (rrfScore) {
rrfScore.value = item.rrfScore;
rrfScore.index = index;
} else {
item.score.push({
type: SearchScoreTypeEnum.rrf,
value: item.rrfScore,
index
});
}
// @ts-ignore
delete item.rrfScore;
return item;
});
};