4.6.8-alpha (#804)

* perf: redirect request and err log replace

perf: dataset openapi

feat: session

fix: retry input error

feat: 468 doc

sub page

feat: standard sub

perf: rerank tip

perf: rerank tip

perf: api sdk

perf: openapi

sub plan

perf: sub ui

fix: ts

* perf: init log

* fix: variable select

* sub page

* icon

* perf: llm model config

* perf: menu ux

* perf: system store

* perf: publish app name

* fix: init data

* perf: flow edit ux

* fix: value type format and ux

* fix prompt editor default value (#13)

* fix prompt editor default value

* fix prompt editor update when not focus

* add key with variable

---------

Co-authored-by: Archer <545436317@qq.com>

* fix: value type

* doc

* i18n

* import path

* home page

* perf: mongo session running

* fix: ts

* perf: use toast

* perf: flow edit

* perf: sse response

* slider ui

* fetch error

* fix prompt editor rerender when not focus by key defaultvalue (#14)

* perf: prompt editor

* feat: dataset search concat

* perf: doc

* fix:ts

* perf: doc

* fix json editor onblur value (#15)

* faq

* vector model default config

* ipv6

---------

Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com>
This commit is contained in:
Archer
2024-02-01 21:57:41 +08:00
committed by GitHub
parent fc19c4cf09
commit 34602b25df
285 changed files with 10345 additions and 11223 deletions

View File

@@ -0,0 +1,95 @@
import { countPromptTokens } from '../../../common/string/tiktoken';
import { SearchScoreTypeEnum } from '../constants';
import { 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;
});
};
export const filterSearchResultsByMaxChars = (
list: SearchDataResponseItemType[],
maxTokens: number
) => {
const results: SearchDataResponseItemType[] = [];
let totalTokens = 0;
for (let i = 0; i < list.length; i++) {
const item = list[i];
totalTokens += countPromptTokens(item.q + item.a);
if (totalTokens > maxTokens + 500) {
break;
}
results.push(item);
if (totalTokens > maxTokens) {
break;
}
}
return results.length === 0 ? list.slice(0, 1) : results;
};