Files
FastGPT/client/src/pages/kb/detail/components/InputDataModal.tsx
2023-07-26 16:01:21 +08:00

220 lines
6.0 KiB
TypeScript

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 { 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';
export type FormData = { dataId?: string; a: string; q: string };
const InputDataModal = ({
onClose,
onSuccess,
onDelete,
kbId,
defaultValues = {
a: '',
q: ''
}
}: {
onClose: () => void;
onSuccess: (data: FormData) => void;
onDelete?: () => void;
kbId: string;
defaultValues?: FormData;
}) => {
const [loading, setLoading] = useState(false);
const { toast } = useToast();
const { register, handleSubmit, reset } = useForm<FormData>({
defaultValues
});
/**
* 确认导入新数据
*/
const sureImportData = useCallback(
async (e: FormData) => {
if (e.a.length + e.q.length >= 3000) {
toast({
title: '总长度超长了',
status: 'warning'
});
return;
}
setLoading(true);
try {
const data = {
a: e.a,
q: e.q,
source: '手动录入'
};
const { insertLen } = await postKbDataFromList({
kbId,
model: vectorModelList[0].model,
mode: TrainingModeEnum.index,
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: ''
});
}
onSuccess(data);
} catch (err: any) {
toast({
title: getErrText(err, '出现了点意外~'),
status: 'error'
});
}
setLoading(false);
},
[kbId, onSuccess, reset, toast]
);
const updateData = useCallback(
async (e: FormData) => {
if (!e.dataId) return;
if (e.a !== defaultValues.a || e.q !== defaultValues.q) {
setLoading(true);
try {
const data = {
dataId: e.dataId,
kbId,
a: e.a,
q: e.q === defaultValues.q ? '' : e.q
};
await putKbDataById(data);
onSuccess(data);
} catch (err) {
toast({
status: 'error',
title: getErrText(err, '更新数据失败')
});
}
setLoading(false);
}
toast({
title: '修改数据成功',
status: 'success'
});
onClose();
},
[defaultValues.a, defaultValues.q, kbId, onClose, onSuccess, toast]
);
return (
<MyModal
isOpen={true}
onClose={onClose}
isCentered
title={defaultValues.dataId ? '变更数据' : '手动导入数据'}
w={'90vw'}
maxW={'90vw'}
>
<Flex display={'flex'} flexDirection={'column'} h={'90vh'}>
<Box
display={'flex'}
flexDirection={['column', 'row']}
flex={'1 0 0'}
h={['100%', 0]}
overflow={'overlay'}
px={6}
pb={2}
>
<Box flex={1} mr={[0, 4]} mb={[4, 0]} h={['50%', '100%']}>
<Box h={'30px'}>{'匹配的知识点'}</Box>
<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}
resize={'none'}
h={'calc(100% - 30px)'}
{...register(`q`, {
required: true
})}
/>
</Box>
<Box flex={1} h={['50%', '100%']}>
<Box h={'30px'}></Box>
<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。'
}
maxLength={3000}
resize={'none'}
h={'calc(100% - 30px)'}
{...register('a')}
/>
</Box>
</Box>
<Flex px={6} pt={2} pb={4} alignItems={'center'}>
<Box flex={1}>
{defaultValues.dataId && onDelete && (
<IconButton
variant={'outline'}
icon={<MyIcon name={'delete'} w={'16px'} h={'16px'} />}
aria-label={''}
isLoading={loading}
size={'sm'}
_hover={{
color: 'red.600',
borderColor: 'red.600'
}}
onClick={async () => {
if (!onDelete || !defaultValues.dataId) return;
try {
await delOneKbDataByDataId(defaultValues.dataId);
onDelete();
onClose();
toast({
status: 'success',
title: '记录已删除'
});
} catch (error) {
toast({
status: 'warning',
title: getErrText(error)
});
console.log(error);
}
}}
/>
)}
</Box>
<Button variant={'base'} mr={3} isLoading={loading} onClick={onClose}>
</Button>
<Button
isLoading={loading}
onClick={handleSubmit(defaultValues.dataId ? updateData : sureImportData)}
>
{defaultValues.dataId ? '确认变更' : '确认导入'}
</Button>
</Flex>
</Flex>
</MyModal>
);
};
export default InputDataModal;