FastGPT/src/pages/kb/components/DataCard.tsx
2023-05-28 10:23:14 +08:00

310 lines
8.4 KiB
TypeScript

import React, { useCallback, useState, useRef } from 'react';
import {
Box,
TableContainer,
Table,
Thead,
Tbody,
Tr,
Th,
Td,
IconButton,
Flex,
Button,
useDisclosure,
Menu,
MenuButton,
MenuList,
MenuItem,
Input,
Tooltip
} from '@chakra-ui/react';
import { QuestionOutlineIcon } from '@chakra-ui/icons';
import type { BoxProps } from '@chakra-ui/react';
import type { KbDataItemType } from '@/types/plugin';
import { usePagination } from '@/hooks/usePagination';
import {
getKbDataList,
getExportDataList,
delOneKbDataByDataId,
getTrainingData
} from '@/api/plugins/kb';
import { DeleteIcon, RepeatIcon, EditIcon } from '@chakra-ui/icons';
import { useLoading } from '@/hooks/useLoading';
import { fileDownload } from '@/utils/file';
import { useMutation, useQuery } from '@tanstack/react-query';
import { useToast } from '@/hooks/useToast';
import Papa from 'papaparse';
import dynamic from 'next/dynamic';
import InputModal, { FormData as InputDataType } from './InputDataModal';
const SelectFileModal = dynamic(() => import('./SelectFileModal'));
const SelectCsvModal = dynamic(() => import('./SelectCsvModal'));
const DataCard = ({ kbId }: { kbId: string }) => {
const lastSearch = useRef('');
const tdStyles = useRef<BoxProps>({
fontSize: 'xs',
minW: '150px',
maxW: '500px',
maxH: '250px',
whiteSpace: 'pre-wrap',
overflowY: 'auto'
});
const [searchText, setSearchText] = useState('');
const { Loading, setIsLoading } = useLoading();
const { toast } = useToast();
const {
data: modelDataList,
isLoading,
Pagination,
total,
getData,
pageNum
} = usePagination<KbDataItemType>({
api: getKbDataList,
pageSize: 10,
params: {
kbId,
searchText
},
defaultRequest: false
});
useQuery(['getKbData', kbId], () => {
getData(1);
return null;
});
const [editInputData, setEditInputData] = useState<InputDataType>();
const {
isOpen: isOpenSelectFileModal,
onOpen: onOpenSelectFileModal,
onClose: onCloseSelectFileModal
} = useDisclosure();
const {
isOpen: isOpenSelectCsvModal,
onOpen: onOpenSelectCsvModal,
onClose: onCloseSelectCsvModal
} = useDisclosure();
const { data: { qaListLen = 0, vectorListLen = 0 } = {}, refetch } = useQuery(
['getModelSplitDataList', kbId],
() => getTrainingData({ kbId, init: false }),
{
onError(err) {
console.log(err);
}
}
);
const refetchData = useCallback(
(num = 1) => {
getData(num);
refetch();
return null;
},
[getData, refetch]
);
// interval get data
useQuery(['refetchData'], () => refetchData(pageNum), {
refetchInterval: 5000,
enabled: qaListLen > 0 || vectorListLen > 0
});
// get al data and export csv
const { mutate: onclickExport, isLoading: isLoadingExport = false } = useMutation({
mutationFn: () => getExportDataList(kbId),
onSuccess(res) {
try {
setIsLoading(true);
const text = Papa.unparse({
fields: ['question', 'answer'],
data: res
});
fileDownload({
text,
type: 'text/csv',
filename: 'data.csv'
});
toast({
title: '导出成功,下次导出需要半小时后',
status: 'success'
});
} catch (error) {
error;
}
setIsLoading(false);
},
onError(err: any) {
toast({
title: typeof err === 'string' ? err : err?.message || '导出异常',
status: 'error'
});
console.log(err);
}
});
return (
<Box position={'relative'}>
<Flex>
<Box fontWeight={'bold'} fontSize={'lg'} flex={1} mr={2}>
: {total}
</Box>
<IconButton
icon={<RepeatIcon />}
aria-label={'refresh'}
variant={'outline'}
mr={[2, 4]}
size={'sm'}
onClick={() => {
refetchData(pageNum);
getTrainingData({ kbId, init: true });
}}
/>
<Button
variant={'outline'}
mr={2}
size={'sm'}
isLoading={isLoadingExport}
title={'半小时仅能导出1次'}
onClick={() => onclickExport()}
>
csv
</Button>
<Menu autoSelect={false}>
<MenuButton as={Button} size={'sm'}>
</MenuButton>
<MenuList>
<MenuItem
onClick={() =>
setEditInputData({
a: '',
q: ''
})
}
>
</MenuItem>
<MenuItem onClick={onOpenSelectFileModal}>/</MenuItem>
<MenuItem onClick={onOpenSelectCsvModal}>csv </MenuItem>
</MenuList>
</Menu>
</Flex>
<Flex mt={4}>
{(qaListLen > 0 || vectorListLen > 0) && (
<Box fontSize={'xs'}>
{qaListLen > 0 ? `${qaListLen}条数据正在拆分,` : ''}
{vectorListLen > 0 ? `${vectorListLen}条数据正在生成索引,` : ''}
...
</Box>
)}
<Box flex={1} />
<Input
maxW={'240px'}
size={'sm'}
value={searchText}
placeholder="搜索相关问题和答案,回车确认"
onChange={(e) => setSearchText(e.target.value)}
onBlur={() => {
if (searchText === lastSearch.current) return;
getData(1);
lastSearch.current = searchText;
}}
onKeyDown={(e) => {
if (searchText === lastSearch.current) return;
if (e.key === 'Enter') {
getData(1);
lastSearch.current = searchText;
}
}}
/>
</Flex>
<TableContainer mt={4} minH={'200px'}>
<Table>
<Thead>
<Tr>
<Th>
<Tooltip
label={
'对话时,会将用户的问题和知识库的 "匹配知识点" 进行比较,找到最相似的前 n 条记录,将这些记录的 "匹配知识点"+"补充知识点" 作为 chatgpt 的系统提示词。'
}
>
<QuestionOutlineIcon ml={1} />
</Tooltip>
</Th>
<Th></Th>
<Th></Th>
</Tr>
</Thead>
<Tbody>
{modelDataList.map((item) => (
<Tr key={item.id}>
<Td>
<Box {...tdStyles.current}>{item.q}</Box>
</Td>
<Td>
<Box {...tdStyles.current}>{item.a || '-'}</Box>
</Td>
<Td>
<IconButton
mr={5}
icon={<EditIcon />}
variant={'outline'}
aria-label={'delete'}
size={'sm'}
onClick={() =>
setEditInputData({
dataId: item.id,
q: item.q,
a: item.a
})
}
/>
<IconButton
icon={<DeleteIcon />}
variant={'outline'}
colorScheme={'gray'}
aria-label={'delete'}
size={'sm'}
onClick={async () => {
await delOneKbDataByDataId(item.id);
refetchData(pageNum);
}}
/>
</Td>
</Tr>
))}
</Tbody>
</Table>
</TableContainer>
<Flex mt={2} justifyContent={'flex-end'}>
<Pagination />
</Flex>
<Loading loading={isLoading} fixed={false} />
{editInputData !== undefined && (
<InputModal
kbId={kbId}
defaultValues={editInputData}
onClose={() => setEditInputData(undefined)}
onSuccess={refetchData}
/>
)}
{isOpenSelectFileModal && (
<SelectFileModal kbId={kbId} onClose={onCloseSelectFileModal} onSuccess={refetchData} />
)}
{isOpenSelectCsvModal && (
<SelectCsvModal kbId={kbId} onClose={onCloseSelectCsvModal} onSuccess={refetchData} />
)}
</Box>
);
};
export default DataCard;