Files
FastGPT/projects/app/src/pages/dataset/detail/index.tsx
Archer ee8cb0915e i18n (#1444)
* adapt not input type

* adapt not input type

* file i18n

* publish i18n

* translate

* i18n
2024-05-11 00:21:01 +08:00

303 lines
10 KiB
TypeScript

import React, { useCallback, useMemo } from 'react';
import { useRouter } from 'next/router';
import { Box, Flex, IconButton, useTheme, Progress } from '@chakra-ui/react';
import { useToast } from '@fastgpt/web/hooks/useToast';
import { useQuery } from '@tanstack/react-query';
import { getErrText } from '@fastgpt/global/common/error/utils';
import { useSystemStore } from '@/web/common/system/useSystemStore';
import Tabs from '@/components/Tabs';
import dynamic from 'next/dynamic';
import MyIcon from '@fastgpt/web/components/common/Icon';
import SideTabs from '@/components/SideTabs';
import PageContainer from '@/components/PageContainer';
import Avatar from '@/components/Avatar';
import { serviceSideProps } from '@/web/common/utils/i18n';
import { useTranslation } from 'next-i18next';
import { getTrainingQueueLen } from '@/web/core/dataset/api';
import MyTooltip from '@/components/MyTooltip';
import CollectionCard from './components/CollectionCard';
import { useDatasetStore } from '@/web/core/dataset/store/dataset';
import { useUserStore } from '@/web/support/user/useUserStore';
import {
DatasetStatusEnum,
DatasetTypeEnum,
DatasetTypeMap
} from '@fastgpt/global/core/dataset/constants';
import { useConfirm } from '@fastgpt/web/hooks/useConfirm';
import { useRequest } from '@fastgpt/web/hooks/useRequest';
import DatasetTypeTag from '@/components/core/dataset/DatasetTypeTag';
import Head from 'next/head';
import MyBox from '@fastgpt/web/components/common/MyBox';
const DataCard = dynamic(() => import('./components/DataCard'));
const Test = dynamic(() => import('./components/Test'));
const Info = dynamic(() => import('./components/Info'));
const Import = dynamic(() => import('./components/Import'));
export enum TabEnum {
dataCard = 'dataCard',
collectionCard = 'collectionCard',
test = 'test',
info = 'info',
import = 'import'
}
const Detail = ({ datasetId, currentTab }: { datasetId: string; currentTab: `${TabEnum}` }) => {
const theme = useTheme();
const { t } = useTranslation();
const { toast } = useToast();
const router = useRouter();
const { isPc } = useSystemStore();
const { datasetDetail, loadDatasetDetail, startWebsiteSync } = useDatasetStore();
const { userInfo } = useUserStore();
const tabList = [
{
label: t('core.dataset.Collection'),
id: TabEnum.collectionCard,
icon: 'common/overviewLight'
},
{ label: t('core.dataset.test.Search Test'), id: TabEnum.test, icon: 'kbTest' },
...(userInfo?.team.canWrite && datasetDetail.isOwner
? [{ label: t('common.Config'), id: TabEnum.info, icon: 'common/settingLight' }]
: [])
];
const { ConfirmModal: ConfirmSyncModal, openConfirm: openConfirmSync } = useConfirm({
type: 'common'
});
const { mutate: onUpdateDatasetWebsiteConfig, isLoading: isUpdating } = useRequest({
mutationFn: () => startWebsiteSync(),
errorToast: t('common.Update Failed')
});
const setCurrentTab = useCallback(
(tab: `${TabEnum}`) => {
router.replace({
query: {
datasetId,
currentTab: tab
}
});
},
[datasetId, router]
);
useQuery([datasetId], () => loadDatasetDetail(datasetId), {
onError(err: any) {
router.replace(`/dataset/list`);
toast({
title: t(getErrText(err, t('common.Load Failed'))),
status: 'error'
});
}
});
const { data: { vectorTrainingCount = 0, agentTrainingCount = 0 } = {} } = useQuery(
['getTrainingQueueLen'],
() =>
getTrainingQueueLen({
vectorModel: datasetDetail.vectorModel.model,
agentModel: datasetDetail.agentModel.model
}),
{
refetchInterval: 10000
}
);
const { vectorTrainingMap, agentTrainingMap } = useMemo(() => {
const vectorTrainingMap = (() => {
if (vectorTrainingCount < 1000)
return {
colorSchema: 'green',
tip: t('core.dataset.training.Leisure')
};
if (vectorTrainingCount < 10000)
return {
colorSchema: 'yellow',
tip: t('core.dataset.training.Waiting')
};
return {
colorSchema: 'red',
tip: t('core.dataset.training.Full')
};
})();
const agentTrainingMap = (() => {
if (agentTrainingCount < 100)
return {
colorSchema: 'green',
tip: t('core.dataset.training.Leisure')
};
if (agentTrainingCount < 1000)
return {
colorSchema: 'yellow',
tip: t('core.dataset.training.Waiting')
};
return {
colorSchema: 'red',
tip: t('core.dataset.training.Full')
};
})();
return {
vectorTrainingMap,
agentTrainingMap
};
}, [agentTrainingCount, t, vectorTrainingCount]);
return (
<>
<Head>
<title>{datasetDetail?.name}</title>
</Head>
<PageContainer>
<MyBox
isLoading={isUpdating}
display={'flex'}
flexDirection={['column', 'row']}
h={'100%'}
pt={[4, 0]}
>
{isPc ? (
<Flex
flexDirection={'column'}
py={4}
h={'100%'}
flex={'0 0 200px'}
borderRight={theme.borders.base}
>
<Box px={4} borderBottom={'1px'} borderColor={'myGray.200'} pb={4} mb={4}>
<Flex mb={4} alignItems={'center'}>
<Avatar src={datasetDetail.avatar} w={'34px'} borderRadius={'md'} />
<Box ml={2}>
<Box fontWeight={'bold'}>{datasetDetail.name}</Box>
</Box>
</Flex>
{DatasetTypeMap[datasetDetail.type] && (
<Flex alignItems={'center'} pl={2} justifyContent={'space-between'}>
<DatasetTypeTag type={datasetDetail.type} />
{datasetDetail.type === DatasetTypeEnum.websiteDataset &&
datasetDetail.status === DatasetStatusEnum.active && (
<MyTooltip label={t('core.dataset.website.Start Sync')}>
<MyIcon
mt={1}
name={'common/refreshLight'}
w={'12px'}
color={'myGray.500'}
cursor={'pointer'}
onClick={() =>
openConfirmSync(
onUpdateDatasetWebsiteConfig,
undefined,
t('core.dataset.website.Confirm Create Tips')
)()
}
/>
</MyTooltip>
)}
</Flex>
)}
</Box>
<SideTabs
px={4}
flex={1}
mx={'auto'}
w={'100%'}
list={tabList}
activeId={currentTab}
onChange={(e: any) => {
setCurrentTab(e);
}}
/>
<Box px={4}>
<Box mb={3}>
<Box fontSize={'sm'}>
{t('core.dataset.training.Agent queue')}({agentTrainingMap.tip})
</Box>
<Progress
value={100}
size={'xs'}
colorScheme={agentTrainingMap.colorSchema}
borderRadius={'10px'}
isAnimated
hasStripe
/>
</Box>
<Box mb={3}>
<Box fontSize={'sm'}>
{t('core.dataset.training.Vector queue')}({vectorTrainingMap.tip})
</Box>
<Progress
value={100}
size={'xs'}
colorScheme={vectorTrainingMap.colorSchema}
borderRadius={'10px'}
isAnimated
hasStripe
/>
</Box>
</Box>
<Flex
alignItems={'center'}
cursor={'pointer'}
py={2}
px={3}
borderRadius={'md'}
_hover={{ bg: 'myGray.100' }}
onClick={() => router.replace('/dataset/list')}
>
<IconButton
mr={3}
icon={<MyIcon name={'common/backFill'} w={'18px'} color={'primary.500'} />}
bg={'white'}
boxShadow={'1px 1px 9px rgba(0,0,0,0.15)'}
size={'smSquare'}
borderRadius={'50%'}
aria-label={''}
/>
{t('core.dataset.All Dataset')}
</Flex>
</Flex>
) : (
<Box mb={3}>
<Tabs
m={'auto'}
w={'260px'}
size={isPc ? 'md' : 'sm'}
list={tabList.map((item) => ({
id: item.id,
label: item.label
}))}
activeId={currentTab}
onChange={(e: any) => setCurrentTab(e)}
/>
</Box>
)}
{!!datasetDetail._id && (
<Box flex={'1 0 0'} pb={0}>
{currentTab === TabEnum.collectionCard && <CollectionCard />}
{currentTab === TabEnum.dataCard && <DataCard />}
{currentTab === TabEnum.test && <Test datasetId={datasetId} />}
{currentTab === TabEnum.info && <Info datasetId={datasetId} />}
{currentTab === TabEnum.import && <Import />}
</Box>
)}
</MyBox>
</PageContainer>
<ConfirmSyncModal />
</>
);
};
export async function getServerSideProps(context: any) {
const currentTab = context?.query?.currentTab || TabEnum.collectionCard;
const datasetId = context?.query?.datasetId;
return {
props: { currentTab, datasetId, ...(await serviceSideProps(context, ['file'])) }
};
}
export default React.memo(Detail);