Files
FastGPT/projects/app/src/pages/dataset/detail/components/Info.tsx
Archer 9d27de154b 4.7-alpha2 (#1027)
* feat: stop toolCall and rename some field. (#46)

* perf: node delete tip;pay tip

* fix: toolCall cannot save child answer

* feat: stop tool

* fix: team modal

* fix feckbackMoal  auth bug (#47)

* 简单的支持提示词运行tool。优化workflow模板 (#49)

* remove templates

* fix: request body undefined

* feat: prompt tool run

* feat: workflow tamplates modal

* perf: plugin start

* 4.7 (#50)

* fix docker-compose download url (#994)

original code is a bad url with '404 NOT FOUND' return.
fix docker-compose download url, add 'v' before docker-compose version

* Update ai_settings.md (#1000)

* Update configuration.md

* Update configuration.md

* Fix history in classifyQuestion and extract modules (#1012)

* Fix history in classifyQuestion and extract modules

* Add chatValue2RuntimePrompt import and update text formatting

* flow controller to packages

* fix: rerank select

* modal ui

* perf: modal code path

* point not sufficient

* feat: http url support variable

* fix http key

* perf: prompt

* perf: ai setting modal

* simple edit ui

---------

Co-authored-by: entorick <entorick11@qq.com>
Co-authored-by: liujianglc <liujianglc@163.com>
Co-authored-by: Fengrui Liu <liufengrui.work@bytedance.com>

* fix team share redirect to login (#51)

* feat: support openapi import plugins (#48)

* feat: support openapi import plugins

* feat: import from url

* fix: add body params parse

* fix build

* fix

* fix

* fix

* tool box ui (#52)

* fix: training queue

* feat: simple edit tool select

* perf: simple edit dataset prompt

* fix: chatbox tool ux

* feat: quote prompt module

* perf: plugin tools sign

* perf: model avatar

* tool selector ui

* feat: max histories

* perf: http plugin import (#53)

* perf: plugin http import

* chatBox ui

* perf: name

* fix: Node template card (#54)

* fix: ts

* setting modal

* package

* package

* feat: add plugins search (#57)

* feat: add plugins search

* perf: change http plugin header input

* Yjl (#56)

* perf: prompt tool call

* perf: chat box ux

* doc

* doc

* price tip

* perf: tool selector

* ui'

* fix: vector queue

* fix: empty tool and empty response

* fix: empty msg

* perf: pg index

* perf: ui tip

* doc

* tool tip

---------

Co-authored-by: yst <77910600+yu-and-liu@users.noreply.github.com>
Co-authored-by: entorick <entorick11@qq.com>
Co-authored-by: liujianglc <liujianglc@163.com>
Co-authored-by: Fengrui Liu <liufengrui.work@bytedance.com>
Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com>
2024-03-21 13:32:31 +08:00

207 lines
6.8 KiB
TypeScript

import React, { useState, useMemo } from 'react';
import { useRouter } from 'next/router';
import { Box, Flex, Button, IconButton, Input, Textarea } from '@chakra-ui/react';
import { DeleteIcon } from '@chakra-ui/icons';
import { delDatasetById } from '@/web/core/dataset/api';
import { useSelectFile } from '@/web/common/file/hooks/useSelectFile';
import { useDatasetStore } from '@/web/core/dataset/store/dataset';
import { useConfirm } from '@/web/common/hooks/useConfirm';
import { useForm } from 'react-hook-form';
import { compressImgFileAndUpload } from '@/web/common/file/controller';
import type { DatasetItemType } from '@fastgpt/global/core/dataset/type.d';
import Avatar from '@/components/Avatar';
import MyTooltip from '@/components/MyTooltip';
import { useTranslation } from 'next-i18next';
import PermissionRadio from '@/components/support/permission/Radio';
import { useSystemStore } from '@/web/common/system/useSystemStore';
import { useRequest } from '@/web/common/hooks/useRequest';
import { MongoImageTypeEnum } from '@fastgpt/global/common/file/image/constants';
import MySelect from '@fastgpt/web/components/common/MySelect';
import AIModelSelector from '@/components/Select/AIModelSelector';
const Info = ({ datasetId }: { datasetId: string }) => {
const { t } = useTranslation();
const { datasetDetail, loadDatasets, updateDataset } = useDatasetStore();
const { getValues, setValue, register, handleSubmit } = useForm<DatasetItemType>({
defaultValues: datasetDetail
});
const { datasetModelList, vectorModelList } = useSystemStore();
const router = useRouter();
const [refresh, setRefresh] = useState(false);
const { openConfirm, ConfirmModal } = useConfirm({
content: t('core.dataset.Delete Confirm'),
type: 'delete'
});
const { File, onOpen: onOpenSelectFile } = useSelectFile({
fileType: '.jpg,.png',
multiple: false
});
/* 点击删除 */
const { mutate: onclickDelete, isLoading: isDeleting } = useRequest({
mutationFn: () => {
return delDatasetById(datasetId);
},
onSuccess() {
router.replace(`/dataset/list`);
},
successToast: t('common.Delete Success'),
errorToast: t('common.Delete Failed')
});
const { mutate: onclickSave, isLoading: isSaving } = useRequest({
mutationFn: (data: DatasetItemType) => {
return updateDataset({
id: datasetId,
...data
});
},
onSuccess() {
loadDatasets();
},
successToast: t('common.Update Success'),
errorToast: t('common.Update Failed')
});
const { mutate: onSelectFile, isLoading: isSelecting } = useRequest({
mutationFn: (e: File[]) => {
const file = e[0];
if (!file) return Promise.resolve(null);
return compressImgFileAndUpload({
type: MongoImageTypeEnum.datasetAvatar,
file,
maxW: 300,
maxH: 300
});
},
onSuccess(src: string | null) {
if (src) {
setValue('avatar', src);
setRefresh((state) => !state);
}
},
errorToast: t('common.avatar.Select Failed')
});
const btnLoading = useMemo(() => isDeleting || isSaving, [isDeleting, isSaving]);
return (
<Box py={5} px={[5, 10]}>
<Flex mt={5} w={'100%'} alignItems={'center'}>
<Box flex={['0 0 90px', '0 0 160px']} w={0}>
{t('core.dataset.Dataset ID')}
</Box>
<Box flex={1}>{datasetDetail._id}</Box>
</Flex>
<Flex mt={5} w={'100%'} alignItems={'center'}>
<Box flex={['0 0 90px', '0 0 160px']} w={0}>
{t('core.dataset.Avatar')}
</Box>
<Box flex={[1, '0 0 300px']}>
<MyTooltip label={t('common.avatar.Select Avatar')}>
<Avatar
m={'auto'}
src={getValues('avatar')}
w={['32px', '40px']}
h={['32px', '40px']}
cursor={'pointer'}
onClick={onOpenSelectFile}
/>
</MyTooltip>
</Box>
</Flex>
<Flex mt={8} w={'100%'} alignItems={'center'}>
<Box flex={['0 0 90px', '0 0 160px']} w={0}>
{t('core.dataset.Name')}
</Box>
<Input flex={[1, '0 0 300px']} maxLength={30} {...register('name')} />
</Flex>
<Flex mt={8} w={'100%'} alignItems={'center'}>
<Box flex={['0 0 90px', '0 0 160px']} w={0}>
{t('core.ai.model.Vector Model')}
</Box>
<Box flex={[1, '0 0 300px']}>{getValues('vectorModel').name}</Box>
</Flex>
<Flex mt={8} w={'100%'} alignItems={'center'}>
<Box flex={['0 0 90px', '0 0 160px']} w={0}>
{t('core.Max Token')}
</Box>
<Box flex={[1, '0 0 300px']}>{getValues('vectorModel').maxToken}</Box>
</Flex>
<Flex mt={6} alignItems={'center'}>
<Box flex={['0 0 90px', '0 0 160px']} w={0}>
{t('core.ai.model.Dataset Agent Model')}
</Box>
<Box flex={[1, '0 0 300px']}>
<AIModelSelector
w={'100%'}
value={getValues('agentModel').model}
list={datasetModelList.map((item) => ({
label: item.name,
value: item.model
}))}
onchange={(e) => {
const agentModel = datasetModelList.find((item) => item.model === e);
if (!agentModel) return;
setValue('agentModel', agentModel);
setRefresh((state) => !state);
}}
/>
</Box>
</Flex>
<Flex mt={8} alignItems={'center'} w={'100%'}>
<Box flex={['0 0 90px', '0 0 160px']}>{t('common.Intro')}</Box>
<Textarea flex={[1, '0 0 300px']} {...register('intro')} placeholder={t('common.Intro')} />
</Flex>
{datasetDetail.isOwner && (
<Flex mt={5} alignItems={'center'} w={'100%'} flexWrap={'wrap'}>
<Box flex={['0 0 90px', '0 0 160px']} w={0}>
{t('user.Permission')}
</Box>
<Box>
<PermissionRadio
value={getValues('permission')}
onChange={(e) => {
setValue('permission', e);
setRefresh(!refresh);
}}
/>
</Box>
</Flex>
)}
<Flex mt={5} w={'100%'} alignItems={'flex-end'}>
<Box flex={['0 0 90px', '0 0 160px']} w={0}></Box>
<Button
isLoading={btnLoading}
mr={4}
w={'100px'}
onClick={handleSubmit((data) => onclickSave(data))}
>
{t('common.Save')}
</Button>
{datasetDetail.isOwner && (
<IconButton
isLoading={btnLoading}
icon={<DeleteIcon />}
aria-label={''}
variant={'whiteDanger'}
size={'smSquare'}
onClick={openConfirm(onclickDelete)}
/>
)}
</Flex>
<File onSelect={onSelectFile} />
<ConfirmModal />
</Box>
);
};
export default React.memo(Info);