Files
FastGPT/projects/app/src/pages/dataset/detail/components/MetaDataCard.tsx
Archer 9eb02b7e38 feat: plan index;flat i18n and add variable value type (#2762)
* feat: plan index

* flat i18n and add variable value type

* fix: ts

* perf: free plan tip
2024-09-20 17:36:33 +08:00

131 lines
4.3 KiB
TypeScript

import React, { useMemo } from 'react';
import { Box, Flex, Button } from '@chakra-ui/react';
import { useTranslation } from 'next-i18next';
import { useRequest2 } from '@fastgpt/web/hooks/useRequest';
import { getDatasetCollectionById } from '@/web/core/dataset/api';
import { useRouter } from 'next/router';
import MyBox from '@fastgpt/web/components/common/MyBox';
import { formatFileSize } from '@fastgpt/global/common/file/tools';
import { formatTime2YMDHM } from '@fastgpt/global/common/string/time';
import { DatasetCollectionTypeMap, TrainingTypeMap } from '@fastgpt/global/core/dataset/constants';
import { getCollectionSourceAndOpen } from '@/web/core/dataset/hooks/readCollectionSource';
import MyIcon from '@fastgpt/web/components/common/Icon';
const MetaDataCard = ({ datasetId }: { datasetId: string }) => {
const { t } = useTranslation();
const router = useRouter();
const { collectionId = '' } = router.query as {
collectionId: string;
datasetId: string;
};
const readSource = getCollectionSourceAndOpen(collectionId);
const { data: collection, loading: isLoading } = useRequest2(
() => getDatasetCollectionById(collectionId),
{
onError: () => {
router.replace({
query: {
datasetId
}
});
},
manual: false
}
);
const metadataList = useMemo<{ label?: string; value?: any }[]>(() => {
if (!collection) return [];
const webSelector =
collection?.datasetId?.websiteConfig?.selector || collection?.metadata?.webPageSelector;
return [
{
label: t('common:core.dataset.collection.metadata.source'),
value: t(DatasetCollectionTypeMap[collection.type]?.name as any)
},
{
label: t('common:core.dataset.collection.metadata.source name'),
value: collection.file?.filename || collection?.rawLink || collection?.name
},
{
label: t('common:core.dataset.collection.metadata.source size'),
value: collection.file ? formatFileSize(collection.file.length) : '-'
},
{
label: t('common:core.dataset.collection.metadata.Createtime'),
value: formatTime2YMDHM(collection.createTime)
},
{
label: t('common:core.dataset.collection.metadata.Updatetime'),
value: formatTime2YMDHM(collection.updateTime)
},
{
label: t('common:core.dataset.collection.metadata.Raw text length'),
value: collection.rawTextLength ?? '-'
},
{
label: t('common:core.dataset.collection.metadata.Training Type'),
value: t(TrainingTypeMap[collection.trainingType]?.label as any)
},
{
label: t('common:core.dataset.collection.metadata.Chunk Size'),
value: collection.chunkSize || '-'
},
...(webSelector
? [
{
label: t('common:core.dataset.collection.metadata.Web page selector'),
value: webSelector
}
]
: []),
{
...(collection.tags
? [
{
label: t('dataset:collection_tags'),
value: collection.tags?.join(', ') || '-'
}
]
: [])
}
];
}, [collection, t]);
return (
<MyBox isLoading={isLoading} w={'100%'} h={'100%'} p={6}>
<Box fontSize={'md'} pb={4}>
{t('common:core.dataset.collection.metadata.metadata')}
</Box>
<Flex mb={4} wordBreak={'break-all'} fontSize={'sm'}>
<Box color={'myGray.500'} flex={'0 0 70px'}>
{t('common:core.dataset.collection.id')}:
</Box>
<Box>{collection?._id}</Box>
</Flex>
{metadataList.map(
(item, i) =>
item.label &&
item.value && (
<Flex key={i} alignItems={'center'} mb={4} wordBreak={'break-all'} fontSize={'sm'}>
<Box color={'myGray.500'} flex={'0 0 70px'}>
{item.label}
</Box>
<Box>{item.value}</Box>
</Flex>
)
)}
{collection?.sourceId && (
<Button variant={'whitePrimary'} onClick={readSource}>
<Flex py={2} px={3}>
<MyIcon name="visible" w={'1rem'} mr={'0.38rem'} />
<Box>{t('common:core.dataset.collection.metadata.read source')}</Box>
</Flex>
</Button>
)}
</MyBox>
);
};
export default React.memo(MetaDataCard);