user feedback and admin mark (#228)

* fix: csv empty data

* feat: user feedback and mark answer

* version intro

* perf: chat logs sort
This commit is contained in:
Archer
2023-08-27 23:12:06 +08:00
committed by GitHub
parent 2556c19a9a
commit 5fcdf28c5c
32 changed files with 886 additions and 67 deletions

View File

@@ -1,15 +1,17 @@
import React, { useState, useCallback } from 'react';
import { Box, Flex, Button, Textarea, IconButton } from '@chakra-ui/react';
import { useForm } from 'react-hook-form';
import { postKbDataFromList, putKbDataById, delOneKbDataByDataId } from '@/api/plugins/kb';
import { insertData2Kb, putKbDataById, delOneKbDataByDataId } from '@/api/plugins/kb';
import { useToast } from '@/hooks/useToast';
import { TrainingModeEnum } from '@/constants/plugin';
import { getErrText } from '@/utils/tools';
import { vectorModelList } from '@/store/static';
import MyIcon from '@/components/Icon';
import MyModal from '@/components/MyModal';
import MyTooltip from '@/components/MyTooltip';
import { QuestionOutlineIcon } from '@chakra-ui/icons';
import { useUserStore } from '@/store/user';
import { useQuery } from '@tanstack/react-query';
export type FormData = { dataId?: string; a: string; q: string };
export type FormData = { dataId?: string; a: string; q: string; source?: string };
const InputDataModal = ({
onClose,
@@ -30,16 +32,20 @@ const InputDataModal = ({
const [loading, setLoading] = useState(false);
const { toast } = useToast();
const { kbDetail, getKbDetail } = useUserStore();
const { register, handleSubmit, reset } = useForm<FormData>({
defaultValues
});
const maxToken = kbDetail.vectorModel?.maxToken || 2000;
/**
* 确认导入新数据
*/
const sureImportData = useCallback(
async (e: FormData) => {
if (e.a.length + e.q.length >= 3000) {
if (e.q.length >= maxToken) {
toast({
title: '总长度超长了',
status: 'warning'
@@ -50,31 +56,24 @@ const InputDataModal = ({
try {
const data = {
dataId: '',
a: e.a,
q: e.q,
source: '手动录入'
};
const { insertLen } = await postKbDataFromList({
data.dataId = await insertData2Kb({
kbId,
mode: TrainingModeEnum.index,
data: [data]
data
});
if (insertLen === 0) {
toast({
title: '已存在完全一致的数据',
status: 'warning'
});
} else {
toast({
title: '导入数据成功,需要一段时间训练',
status: 'success'
});
reset({
a: '',
q: ''
});
}
toast({
title: '导入数据成功,需要一段时间训练',
status: 'success'
});
reset({
a: '',
q: ''
});
onSuccess(data);
} catch (err: any) {
@@ -85,7 +84,7 @@ const InputDataModal = ({
}
setLoading(false);
},
[kbId, onSuccess, reset, toast]
[kbId, maxToken, onSuccess, reset, toast]
);
const updateData = useCallback(
@@ -121,6 +120,11 @@ const InputDataModal = ({
[defaultValues.a, defaultValues.q, kbId, onClose, onSuccess, toast]
);
useQuery(['getKbDetail'], () => {
if (kbDetail._id === kbId) return null;
return getKbDetail(kbId);
});
return (
<MyModal
isOpen={true}
@@ -142,10 +146,15 @@ const InputDataModal = ({
pb={2}
>
<Box flex={1} mr={[0, 4]} mb={[4, 0]} h={['50%', '100%']}>
<Box h={'30px'}>{'匹配的知识点'}</Box>
<Flex>
<Box h={'30px'}>{'匹配的知识点'}</Box>
<MyTooltip label={'被向量化的部分,通常是问题,也可以是一段陈述描述'}>
<QuestionOutlineIcon ml={1} />
</MyTooltip>
</Flex>
<Textarea
placeholder={'匹配的知识点。这部分内容会被搜索,请把控内容的质量。总和最多 3000 字。'}
maxLength={3000}
placeholder={`匹配的知识点。这部分内容会被搜索,请把控内容的质量,最多 ${maxToken} 字。`}
maxLength={maxToken}
resize={'none'}
h={'calc(100% - 30px)'}
{...register(`q`, {
@@ -154,7 +163,14 @@ const InputDataModal = ({
/>
</Box>
<Box flex={1} h={['50%', '100%']}>
<Box h={'30px'}></Box>
<Flex>
<Box h={'30px'}>{'补充知识'}</Box>
<MyTooltip
label={'匹配的知识点被命中后,这部分内容会随匹配知识点一起注入模型,引导模型回答'}
>
<QuestionOutlineIcon ml={1} />
</MyTooltip>
</Flex>
<Textarea
placeholder={
'补充知识。这部分内容不会被搜索,但会作为"匹配的知识点"的内容补充,你可以讲一些细节的内容填写在这里。总和最多 3000 字。'