4.7.1-alpha (#1120)

Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com>
This commit is contained in:
Archer
2024-04-03 18:14:09 +08:00
committed by GitHub
parent 9ae581e09b
commit 8a46372418
76 changed files with 3129 additions and 2104 deletions

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@@ -214,9 +214,6 @@ export const FlowProvider = ({
if (source?.flowType === FlowNodeTypeEnum.classifyQuestion && !type) {
return ModuleIOValueTypeEnum.boolean;
}
if (source?.flowType === FlowNodeTypeEnum.tools) {
return ModuleIOValueTypeEnum.tools;
}
if (source?.flowType === FlowNodeTypeEnum.pluginInput) {
return source?.inputs.find((input) => input.key === connect.sourceHandle)?.valueType;
}

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@@ -52,6 +52,7 @@ const ModuleTemplateList = ({ isOpen, onClose }: ModuleTemplateListProps) => {
const router = useRouter();
const [currentParent, setCurrentParent] = useState<RenderListProps['currentParent']>();
const [searchKey, setSearchKey] = useState('');
const { feConfigs } = useSystemStore();
const {
basicNodeTemplates,
@@ -64,7 +65,12 @@ const ModuleTemplateList = ({ isOpen, onClose }: ModuleTemplateListProps) => {
const templates = useMemo(() => {
const map = {
[TemplateTypeEnum.basic]: basicNodeTemplates,
[TemplateTypeEnum.basic]: basicNodeTemplates.filter((item) => {
if (item.flowType === FlowNodeTypeEnum.lafModule && !feConfigs.lafEnv) {
return false;
}
return true;
}),
[TemplateTypeEnum.systemPlugin]: systemNodeTemplates,
[TemplateTypeEnum.teamPlugin]: teamPluginNodeTemplates.filter((item) =>
searchKey ? item.pluginType !== PluginTypeEnum.folder : true

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@@ -88,7 +88,7 @@ enum TabEnum {
headers = 'headers',
body = 'body'
}
type PropsArrType = {
export type PropsArrType = {
key: string;
type: string;
value: string;
@@ -245,7 +245,7 @@ const RenderHttpMethodAndUrl = React.memo(function RenderHttpMethodAndUrl({
);
});
function RenderHttpProps({
export function RenderHttpProps({
moduleId,
inputs
}: {

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@@ -0,0 +1,260 @@
import React, { useCallback, useMemo } from 'react';
import { NodeProps } from 'reactflow';
import NodeCard from '../render/NodeCard';
import { FlowModuleItemType } from '@fastgpt/global/core/module/type.d';
import Container from '../modules/Container';
import { Box, Button, Center, Flex, useDisclosure } from '@chakra-ui/react';
import { ModuleIOValueTypeEnum, ModuleInputKeyEnum } from '@fastgpt/global/core/module/constants';
import { onChangeNode, useFlowProviderStore } from '../../FlowProvider';
import { useTranslation } from 'next-i18next';
import { getLafAppDetail } from '@/web/support/laf/api';
import MySelect from '@fastgpt/web/components/common/MySelect';
import { getApiSchemaByUrl } from '@/web/core/plugin/api';
import { str2OpenApiSchema } from '@fastgpt/global/core/plugin/httpPlugin/utils';
import { useUserStore } from '@/web/support/user/useUserStore';
import { useSystemStore } from '@/web/common/system/useSystemStore';
import { ChevronRightIcon } from '@chakra-ui/icons';
import { useQuery } from '@tanstack/react-query';
import dynamic from 'next/dynamic';
import { FlowNodeInputTypeEnum } from '@fastgpt/global/core/module/node/constant';
import { useToast } from '@fastgpt/web/hooks/useToast';
import Divider from '../modules/Divider';
import RenderToolInput from '../render/RenderToolInput';
import RenderInput from '../render/RenderInput';
import RenderOutput from '../render/RenderOutput';
import { getErrText } from '@fastgpt/global/common/error/utils';
const LafAccountModal = dynamic(() => import('@/components/support/laf/LafAccountModal'));
const NodeLaf = (props: NodeProps<FlowModuleItemType>) => {
const { t } = useTranslation();
const { toast } = useToast();
const { feConfigs } = useSystemStore();
const { data, selected } = props;
const { moduleId, inputs } = data;
const requestUrl = inputs.find((item) => item.key === ModuleInputKeyEnum.httpReqUrl);
const { userInfo } = useUserStore();
const token = userInfo?.team.lafAccount?.token;
const appid = userInfo?.team.lafAccount?.appid;
// not config laf
if (!token || !appid) {
return (
<NodeCard minW={'350px'} selected={selected} {...data}>
<ConfigLaf />
</NodeCard>
);
}
const { data: lafData, isLoading: isLoadingFunctions } = useQuery(
['getLafFunctionList'],
async () => {
// load laf app detail
const appDetail = await getLafAppDetail(appid);
// load laf app functions
const schemaUrl = `https://${appDetail?.domain.domain}/_/api-docs?token=${appDetail?.openapi_token}`;
const schema = await getApiSchemaByUrl(schemaUrl);
const openApiSchema = await str2OpenApiSchema(JSON.stringify(schema));
const filterPostSchema = openApiSchema.pathData.filter((item) => item.method === 'post');
return {
lafApp: appDetail,
lafFunctions: filterPostSchema.map((item) => ({
...item,
requestUrl: `https://${appDetail?.domain.domain}${item.path}`
}))
};
},
{
onError(err) {
toast({
status: 'error',
title: getErrText(err, '获取Laf函数列表失败')
});
}
}
);
const lafFunctionSelectList = useMemo(
() =>
lafData?.lafFunctions.map((item) => ({
label: item.description ? `${item.name} (${item.description})` : item.name,
value: item.requestUrl
})) || [],
[lafData?.lafFunctions]
);
const selectedFunction = useMemo(
() => lafFunctionSelectList.find((item) => item.value === requestUrl?.value)?.value,
[lafFunctionSelectList, requestUrl?.value]
);
const onSyncParams = useCallback(() => {
const lafFunction = lafData?.lafFunctions.find((item) => item.requestUrl === selectedFunction);
if (!lafFunction) return;
const bodyParams =
lafFunction?.request?.content?.['application/json']?.schema?.properties || {};
const requiredParams =
lafFunction?.request?.content?.['application/json']?.schema?.required || [];
const allParams = [
...Object.keys(bodyParams).map((key) => ({
name: key,
desc: bodyParams[key].description,
required: requiredParams?.includes(key) || false,
value: `{{${key}}}`,
type: 'string'
}))
].filter((item) => !inputs.find((input) => input.key === item.name));
// add params
allParams.forEach((param) => {
onChangeNode({
moduleId,
type: 'addInput',
key: param.name,
value: {
key: param.name,
valueType: ModuleIOValueTypeEnum.string,
label: param.name,
type: FlowNodeInputTypeEnum.target,
required: param.required,
description: param.desc || '',
toolDescription: param.desc || '未设置参数描述',
edit: true,
editField: {
key: true,
name: true,
description: true,
required: true,
dataType: true,
inputType: true,
isToolInput: true
},
connected: false
}
});
});
toast({
status: 'success',
title: t('common.Sync success')
});
}, [inputs, lafData?.lafFunctions, moduleId, selectedFunction, t, toast]);
return (
<NodeCard minW={'350px'} selected={selected} {...data}>
<Container>
{/* select function */}
<MySelect
isLoading={isLoadingFunctions}
list={lafFunctionSelectList}
placeholder={t('core.module.laf.Select laf function')}
onchange={(e) => {
onChangeNode({
moduleId,
type: 'updateInput',
key: ModuleInputKeyEnum.httpReqUrl,
value: {
...requestUrl,
value: e
}
});
}}
value={selectedFunction}
/>
{/* auto set params and go to edit */}
{!!selectedFunction && (
<Flex justifyContent={'flex-end'} mt={2} gap={2}>
{/* <Button variant={'whiteBase'} size={'sm'} onClick={onSyncParams}>
{t('core.module.Laf sync params')}
</Button> */}
<Button
variant={'grayBase'}
size={'sm'}
onClick={() => {
const lafFunction = lafData?.lafFunctions.find(
(item) => item.requestUrl === selectedFunction
);
if (!lafFunction) return;
const url = `${feConfigs.lafEnv}/app/${lafData?.lafApp?.appid}/function${lafFunction?.path}`;
window.open(url, '_blank');
}}
>
{t('plugin.go to laf')}
</Button>
</Flex>
)}
</Container>
{!!selectedFunction && <RenderIO {...props} />}
</NodeCard>
);
};
export default React.memo(NodeLaf);
const ConfigLaf = () => {
const { t } = useTranslation();
const { userInfo } = useUserStore();
const { feConfigs } = useSystemStore();
const {
isOpen: isOpenLafConfig,
onOpen: onOpenLafConfig,
onClose: onCloseLafConfig
} = useDisclosure();
return !!feConfigs?.lafEnv ? (
<Center minH={150}>
<Button onClick={onOpenLafConfig} variant={'whitePrimary'}>
{t('plugin.Please bind laf accout first')} <ChevronRightIcon />
</Button>
{isOpenLafConfig && feConfigs?.lafEnv && (
<LafAccountModal defaultData={userInfo?.team.lafAccount} onClose={onCloseLafConfig} />
)}
</Center>
) : (
<Box>Laf环境</Box>
);
};
const RenderIO = ({ data, selected }: NodeProps<FlowModuleItemType>) => {
const { t } = useTranslation();
const { moduleId, inputs, outputs } = data;
const { splitToolInputs, hasToolNode } = useFlowProviderStore();
const { commonInputs, toolInputs } = splitToolInputs(inputs, moduleId);
return (
<>
{hasToolNode && (
<>
<Divider text={t('core.module.tool.Tool input')} />
<Container>
<RenderToolInput moduleId={moduleId} inputs={toolInputs} canEdit />
</Container>
</>
)}
<>
<Divider text={t('common.Input')} />
<Container>
<Box mb={3}>Body参数</Box>
<RenderInput moduleId={moduleId} flowInputList={commonInputs} />
</Container>
</>
<>
<Divider text={t('common.Output')} />
<Container>
<RenderOutput moduleId={moduleId} flowOutputList={outputs} />
</Container>
</>
</>
);
};

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@@ -164,7 +164,7 @@ const NodeCard = (props: Props) => {
top={'-20px'}
right={0}
transform={'translateX(90%)'}
pl={'17px'}
pl={'20px'}
pr={'10px'}
pb={'20px'}
pt={'20px'}

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@@ -1,11 +1,25 @@
import { FlowNodeInputItemType } from '@fastgpt/global/core/module/node/type';
import { FlowNodeInputTypeEnum } from '@fastgpt/global/core/module/node/constant';
import { ModuleIOValueTypeEnum } from '@fastgpt/global/core/module/constants';
export const defaultEditFormData: FlowNodeInputItemType = {
valueType: 'string',
type: FlowNodeInputTypeEnum.hidden,
type: FlowNodeInputTypeEnum.target,
key: '',
label: '',
toolDescription: '',
required: true
required: true,
edit: true,
editField: {
key: true,
description: true,
dataType: true
},
defaultEditField: {
label: '',
key: '',
description: '',
inputType: FlowNodeInputTypeEnum.target,
valueType: ModuleIOValueTypeEnum.string
}
};

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@@ -44,7 +44,8 @@ const nodeTypes: Record<`${FlowNodeTypeEnum}`, any> = {
[FlowNodeTypeEnum.tools]: dynamic(() => import('./components/nodes/NodeTools')),
[FlowNodeTypeEnum.stopTool]: (data: NodeProps<FlowModuleItemType>) => (
<NodeSimple {...data} minW={'100px'} maxW={'300px'} />
)
),
[FlowNodeTypeEnum.lafModule]: dynamic(() => import('./components/nodes/NodeLaf'))
};
const edgeTypes = {
[EDGE_TYPE]: ButtonEdge

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@@ -0,0 +1,185 @@
import React, { useCallback } from 'react';
import { ModalBody, Box, Flex, Input, ModalFooter, Button, Link } from '@chakra-ui/react';
import MyModal from '@fastgpt/web/components/common/MyModal';
import { useTranslation } from 'next-i18next';
import { useForm } from 'react-hook-form';
import { useRequest } from '@fastgpt/web/hooks/useRequest';
import { useQuery } from '@tanstack/react-query';
import MySelect from '@fastgpt/web/components/common/MySelect';
import { useSystemStore } from '@/web/common/system/useSystemStore';
import { useToast } from '@fastgpt/web/hooks/useToast';
import { putUpdateTeam } from '@/web/support/user/team/api';
import { useUserStore } from '@/web/support/user/useUserStore';
import type { LafAccountType } from '@fastgpt/global/support/user/team/type.d';
import { postLafPat2Token, getLafApplications } from '@/web/support/laf/api';
import { getErrText } from '@fastgpt/global/common/error/utils';
const LafAccountModal = ({
defaultData = {
token: '',
appid: ''
},
onClose
}: {
defaultData?: LafAccountType;
onClose: () => void;
}) => {
const { t } = useTranslation();
const { register, handleSubmit, setValue, getValues, watch, reset } = useForm({
defaultValues: {
...defaultData,
pat: ''
}
});
const lafToken = watch('token');
const pat = watch('pat');
const appid = watch('appid');
const { feConfigs } = useSystemStore();
const { toast } = useToast();
const { userInfo, initUserInfo } = useUserStore();
const onResetForm = useCallback(() => {
reset({
token: '',
appid: '',
pat: ''
});
}, [reset]);
const { mutate: authLafPat, isLoading: isPatLoading } = useRequest({
mutationFn: async (pat) => {
const token = await postLafPat2Token(pat);
setValue('token', token);
},
errorToast: t('plugin.Invalid Env')
});
const { data: appListData = [] } = useQuery(
['appList', lafToken],
() => {
return getLafApplications(lafToken);
},
{
enabled: !!lafToken,
onSuccess: (data) => {
if (!getValues('appid') && data.length > 0) {
setValue('appid', data[0].appid);
}
},
onError: (err) => {
onResetForm();
toast({
title: getErrText(err, '获取应用列表失败'),
status: 'error'
});
}
}
);
const { mutate: onSubmit, isLoading: isUpdating } = useRequest({
mutationFn: async (data: LafAccountType) => {
if (!userInfo?.team.teamId) return;
return putUpdateTeam({
teamId: userInfo?.team.teamId,
lafAccount: data
});
},
onSuccess() {
initUserInfo();
onClose();
},
successToast: t('common.Update Success'),
errorToast: t('common.Update Failed')
});
return (
<MyModal isOpen iconSrc="/imgs/module/laf.png" title={t('user.Laf Account Setting')}>
<ModalBody>
<Box fontSize={'sm'} color={'myGray.500'}>
<Box>{t('support.user.Laf account intro')}</Box>
<Box textDecoration={'underline'}>
<Link href={`https://doc.laf.run/zh/`} isExternal>
{t('support.user.Laf account course')}
</Link>
</Box>
<Box>
<Link textDecoration={'underline'} href={`${feConfigs.lafEnv}/`} isExternal>
{t('support.user.Go laf env')}
</Link>
</Box>
</Box>
<Flex alignItems={'center'} mt={5}>
<Box flex={'0 0 70px'}>PAT:</Box>
{!lafToken ? (
<>
<Input
flex={'1 0 0'}
size={'sm'}
{...register('pat')}
placeholder={t('plugin.Enter PAT')}
/>
<Button
ml={2}
variant={'whitePrimary'}
isDisabled={!pat}
onClick={() => {
authLafPat(pat);
}}
isLoading={isPatLoading}
>
</Button>
</>
) : (
<Button
variant={'whitePrimary'}
onClick={() => {
onResetForm();
putUpdateTeam({
teamId: userInfo?.team.teamId || '',
lafAccount: { token: '', appid: '' }
});
}}
>
</Button>
)}
</Flex>
{!!lafToken && (
<Flex alignItems={'center'} mt={5}>
<Box flex={'0 0 70px'}>{t('plugin.Currentapp')}</Box>
<MySelect
minW={'200px'}
list={
appListData
.filter((app) => app.state === 'Running')
.map((app) => ({
label: `${app.name}`,
value: app.appid
})) || []
}
placeholder={t('plugin.App')}
value={watch('appid')}
onchange={(e) => {
setValue('appid', e);
}}
{...(register('appid'), { required: true })}
/>
</Flex>
)}
</ModalBody>
<ModalFooter>
<Button mr={3} variant={'whiteBase'} onClick={onClose}>
{t('common.Close')}
</Button>
<Button isLoading={isUpdating} onClick={handleSubmit((data) => onSubmit(data))}>
{t('common.Update')}
</Button>
</ModalFooter>
</MyModal>
);
};
export default LafAccountModal;

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@@ -8,7 +8,8 @@ import {
Input,
Link,
Progress,
Grid
Grid,
Image
} from '@chakra-ui/react';
import { useForm } from 'react-hook-form';
import { UserUpdateParams } from '@/types/user';
@@ -41,12 +42,14 @@ import {
} from '@/web/support/wallet/sub/constants';
import StandardPlanContentList from '@/components/support/wallet/StandardPlanContentList';
import { TeamMemberRoleEnum } from '@fastgpt/global/support/user/team/constant';
const StandDetailModal = dynamic(() => import('./standardDetailModal'));
const TeamMenu = dynamic(() => import('@/components/support/user/team/TeamMenu'));
const PayModal = dynamic(() => import('./PayModal'));
const UpdatePswModal = dynamic(() => import('./UpdatePswModal'));
const OpenAIAccountModal = dynamic(() => import('./OpenAIAccountModal'));
const LafAccountModal = dynamic(() => import('@/components/support/laf/LafAccountModal'));
const CommunityModal = dynamic(() => import('@/components/CommunityModal'));
const Account = () => {
@@ -518,7 +521,7 @@ const Other = () => {
const { reset } = useForm<UserUpdateParams>({
defaultValues: userInfo as UserType
});
const { isOpen: isOpenLaf, onClose: onCloseLaf, onOpen: onOpenLaf } = useDisclosure();
const { isOpen: isOpenOpenai, onClose: onCloseOpenai, onOpen: onOpenOpenai } = useDisclosure();
const { isOpen: isOpenConcat, onClose: onCloseConcat, onOpen: onOpenConcat } = useDisclosure();
@@ -537,7 +540,6 @@ const Other = () => {
},
[reset, toast, updateUserInfo]
);
return (
<Box>
<Grid gridGap={4} mt={3}>
@@ -582,6 +584,32 @@ const Other = () => {
</Box>
</Link>
{feConfigs?.lafEnv && userInfo?.team.role === TeamMemberRoleEnum.owner && (
<Flex
bg={'white'}
py={4}
px={6}
border={theme.borders.sm}
borderWidth={'1.5px'}
borderRadius={'md'}
alignItems={'center'}
cursor={'pointer'}
userSelect={'none'}
onClick={onOpenLaf}
>
<Image src="/imgs/module/laf.png" w={'18px'} alt="laf" />
<Box ml={2} flex={1}>
laf
</Box>
<Box
w={'9px'}
h={'9px'}
borderRadius={'50%'}
bg={userInfo?.team.lafAccount?.token ? '#67c13b' : 'myGray.500'}
/>
</Flex>
)}
{feConfigs?.show_openai_account && (
<Flex
bg={'white'}
@@ -620,6 +648,9 @@ const Other = () => {
)}
</Grid>
{isOpenLaf && userInfo && (
<LafAccountModal defaultData={userInfo?.team.lafAccount} onClose={onCloseLaf} />
)}
{isOpenOpenai && userInfo && (
<OpenAIAccountModal
defaultData={userInfo?.openaiAccount}

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@@ -2,12 +2,14 @@ import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@fastgpt/service/common/response';
import { connectToDatabase } from '@/service/mongo';
import { authCert } from '@fastgpt/service/support/permission/auth/common';
import { checkFiles } from '../timerTask/dataset/checkInValidDatasetFiles';
import { addHours } from 'date-fns';
import { checkInvalidCollection } from '../timerTask/dataset/checkInvalidMongoCollection';
import { checkInvalidVector } from '../timerTask/dataset/checkInvalidVector';
import { MongoImage } from '@fastgpt/service/common/file/image/schema';
import { MongoDatasetCollection } from '@fastgpt/service/core/dataset/collection/schema';
import {
checkInvalidDatasetFiles,
checkInvalidDatasetData,
checkInvalidVector
} from '@/service/common/system/cronTask';
let deleteImageAmount = 0;
async function checkInvalidImg(start: Date, end: Date, limit = 50) {
@@ -60,11 +62,12 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
(async () => {
try {
console.log('执行脏数据清理任务');
const end = addHours(new Date(), -1);
// 360天 ~ 2小时前
const end = addHours(new Date(), -2);
const start = addHours(new Date(), -360 * 24);
await checkFiles(start, end);
await checkInvalidDatasetFiles(start, end);
await checkInvalidImg(start, end);
await checkInvalidCollection(start, end);
await checkInvalidDatasetData(start, end);
await checkInvalidVector(start, end);
console.log('执行脏数据清理任务完毕');
} catch (error) {

View File

@@ -1,98 +0,0 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@fastgpt/service/common/response';
import { connectToDatabase } from '@/service/mongo';
import { authCert } from '@fastgpt/service/support/permission/auth/common';
import { MongoUsage } from '@fastgpt/service/support/wallet/usage/schema';
import { connectionMongo } from '@fastgpt/service/common/mongo';
import { checkFiles } from '../timerTask/dataset/checkInValidDatasetFiles';
import { addHours } from 'date-fns';
import { checkInvalidCollection } from '../timerTask/dataset/checkInvalidMongoCollection';
import { checkInvalidVector } from '../timerTask/dataset/checkInvalidVector';
import { MongoImage } from '@fastgpt/service/common/file/image/schema';
import { MongoDatasetCollection } from '@fastgpt/service/core/dataset/collection/schema';
let deleteImageAmount = 0;
export async function checkInvalidImg(start: Date, end: Date, limit = 50) {
const images = await MongoImage.find(
{
createTime: {
$gte: start,
$lte: end
},
'metadata.relatedId': { $exists: true }
},
'_id teamId metadata'
);
console.log('total images', images.length);
let index = 0;
for await (const image of images) {
try {
// 1. 检测是否有对应的集合
const collection = await MongoDatasetCollection.findOne(
{
teamId: image.teamId,
'metadata.relatedImgId': image.metadata?.relatedId
},
'_id'
);
if (!collection) {
await image.deleteOne();
deleteImageAmount++;
}
index++;
index % 100 === 0 && console.log(index);
} catch (error) {
console.log(error);
}
}
console.log(`检测完成,共删除 ${deleteImageAmount} 个无效图片`);
}
/* pg 中的数据搬到 mongo dataset.datas 中,并做映射 */
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
await connectToDatabase();
await authCert({ req, authRoot: true });
// 检查 usage 是否有记录
const totalUsages = await MongoUsage.countDocuments();
if (totalUsages === 0) {
// 重命名 bills 集合成 usages
await connectionMongo.connection.db.renameCollection('bills', 'usages', {
// 强制
dropTarget: true
});
}
(async () => {
try {
console.log('执行脏数据清理任务');
const end = addHours(new Date(), -1);
const start = addHours(new Date(), -360 * 24);
await checkFiles(start, end);
await checkInvalidImg(start, end);
await checkInvalidCollection(start, end);
await checkInvalidVector(start, end);
console.log('执行脏数据清理任务完毕');
} catch (error) {
console.log('执行脏数据清理任务出错了');
}
})();
jsonRes(res, {
message: 'success'
});
} catch (error) {
console.log(error);
jsonRes(res, {
code: 500,
error
});
}
}

View File

@@ -4,7 +4,7 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@fastgpt/service/common/response';
import { connectToDatabase } from '@/service/mongo';
import { readFileContent } from '@fastgpt/service/common/file/gridfs/controller';
import { readFileContentFromMongo } from '@fastgpt/service/common/file/gridfs/controller';
import { authFile } from '@fastgpt/service/support/permission/auth/file';
import { BucketNameEnum } from '@fastgpt/global/common/file/constants';
@@ -19,7 +19,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
const { teamId } = await authFile({ req, authToken: true, fileId });
const { rawText } = await readFileContent({
const { rawText } = await readFileContentFromMongo({
teamId,
bucketName: BucketNameEnum.dataset,
fileId,

View File

@@ -90,6 +90,7 @@ export async function initSystemConfig() {
// get config from database
const config: FastGPTConfigFileType = {
feConfigs: {
...fileRes?.feConfigs,
...defaultFeConfigs,
...(dbConfig.feConfigs || {}),
isPlus: !!FastGPTProUrl

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@@ -1,7 +1,7 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@fastgpt/service/common/response';
import { connectToDatabase } from '@/service/mongo';
import { readFileContent } from '@fastgpt/service/common/file/gridfs/controller';
import { readFileContentFromMongo } from '@fastgpt/service/common/file/gridfs/controller';
import { authDataset } from '@fastgpt/service/support/permission/auth/dataset';
import { FileIdCreateDatasetCollectionParams } from '@fastgpt/global/core/dataset/api';
import { createOneCollection } from '@fastgpt/service/core/dataset/collection/controller';
@@ -36,7 +36,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
});
// 1. read file
const { rawText, filename } = await readFileContent({
const { rawText, filename } = await readFileContentFromMongo({
teamId,
bucketName: BucketNameEnum.dataset,
fileId

View File

@@ -3,7 +3,7 @@ import { jsonRes } from '@fastgpt/service/common/response';
import { connectToDatabase } from '@/service/mongo';
import {
delFileByFileIdList,
readFileContent
readFileContentFromMongo
} from '@fastgpt/service/common/file/gridfs/controller';
import { authDataset } from '@fastgpt/service/support/permission/auth/dataset';
import { FileIdCreateDatasetCollectionParams } from '@fastgpt/global/core/dataset/api';
@@ -47,7 +47,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
});
// 1. read file
const { rawText, filename } = await readFileContent({
const { rawText, filename } = await readFileContentFromMongo({
teamId,
bucketName: BucketNameEnum.dataset,
fileId

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@@ -4,7 +4,7 @@ import { connectToDatabase } from '@/service/mongo';
import { BucketNameEnum } from '@fastgpt/global/common/file/constants';
import { authFile } from '@fastgpt/service/support/permission/auth/file';
import { PostPreviewFilesChunksProps } from '@/global/core/dataset/api';
import { readFileContent } from '@fastgpt/service/common/file/gridfs/controller';
import { readFileContentFromMongo } from '@fastgpt/service/common/file/gridfs/controller';
import { splitText2Chunks } from '@fastgpt/global/common/string/textSplitter';
import { ImportDataSourceEnum } from '@fastgpt/global/core/dataset/constants';
import { parseCsvTable2Chunks } from '@fastgpt/service/core/dataset/training/utils';
@@ -28,7 +28,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
const { file, teamId } = await authFile({ req, authToken: true, fileId: sourceId });
const fileId = String(file._id);
const { rawText } = await readFileContent({
const { rawText } = await readFileContentFromMongo({
teamId,
bucketName: BucketNameEnum.dataset,
fileId,
@@ -53,7 +53,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
if (type === ImportDataSourceEnum.csvTable) {
const { file, teamId } = await authFile({ req, authToken: true, fileId: sourceId });
const fileId = String(file._id);
const { rawText } = await readFileContent({
const { rawText } = await readFileContentFromMongo({
teamId,
bucketName: BucketNameEnum.dataset,
fileId,

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@@ -0,0 +1,69 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@fastgpt/service/common/response';
import { connectToDatabase } from '@/service/mongo';
import { request } from 'https';
import { FastGPTProUrl } from '@fastgpt/service/common/system/constants';
import url from 'url';
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
await connectToDatabase();
const { path = [], ...query } = req.query as any;
const queryStr = new URLSearchParams(query).toString();
const requestPath = queryStr
? `/${path?.join('/')}?${new URLSearchParams(query).toString()}`
: `/${path?.join('/')}`;
if (!requestPath) {
throw new Error('url is empty');
}
const lafEnv = global.feConfigs?.lafEnv;
if (!lafEnv) {
throw new Error('lafEnv is empty');
}
const parsedUrl = url.parse(lafEnv);
delete req.headers?.cookie;
delete req.headers?.host;
delete req.headers?.origin;
const requestResult = request({
protocol: parsedUrl.protocol,
hostname: parsedUrl.hostname,
port: parsedUrl.port,
path: requestPath,
method: req.method,
headers: req.headers,
timeout: 30000
});
req.pipe(requestResult);
requestResult.on('response', (response) => {
Object.keys(response.headers).forEach((key) => {
// @ts-ignore
res.setHeader(key, response.headers[key]);
});
response.statusCode && res.writeHead(response.statusCode);
response.pipe(res);
});
requestResult.on('error', (e) => {
res.send(e);
res.end();
});
} catch (error) {
jsonRes(res, {
code: 500,
error
});
}
}
export const config = {
api: {
bodyParser: false
}
};

View File

@@ -11,7 +11,7 @@ import { MongoTeamMember } from '@fastgpt/service/support/user/team/teamMemberSc
export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
try {
await connectToDatabase();
const { avatar, timezone, openaiAccount } = req.body as UserUpdateParams;
const { avatar, timezone, openaiAccount, lafAccount } = req.body as UserUpdateParams;
const { tmbId } = await authCert({ req, authToken: true });
const tmb = await MongoTeamMember.findById(tmbId);
@@ -47,7 +47,8 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
{
...(avatar && { avatar }),
...(timezone && { timezone }),
openaiAccount: openaiAccount?.key ? openaiAccount : null
openaiAccount: openaiAccount?.key ? openaiAccount : null,
lafAccount: lafAccount?.token ? lafAccount : null
}
);

View File

@@ -1,91 +0,0 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@fastgpt/service/common/response';
import { connectToDatabase } from '@/service/mongo';
import { authCert } from '@fastgpt/service/support/permission/auth/common';
import {
delFileByFileIdList,
getGFSCollection
} from '@fastgpt/service/common/file/gridfs/controller';
import { addLog } from '@fastgpt/service/common/system/log';
import { MongoDatasetCollection } from '@fastgpt/service/core/dataset/collection/schema';
import { addHours } from 'date-fns';
/*
check dataset.files data. If there is no match in dataset.collections, delete it
可能异常情况
1. 上传了文件,未成功创建集合
*/
let deleteFileAmount = 0;
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
const { startHour = 24, endHour = 1 } = req.body as {
startHour?: number;
endHour?: number;
limit?: number;
};
await authCert({ req, authRoot: true });
await connectToDatabase();
// start: now - maxDay, end: now - 3 day
const start = addHours(new Date(), -startHour);
const end = addHours(new Date(), -endHour);
deleteFileAmount = 0;
console.log(start, end);
await checkFiles(start, end);
jsonRes(res, {
data: deleteFileAmount,
message: 'success'
});
} catch (error) {
addLog.error(`check valid dataset files error`, error);
jsonRes(res, {
code: 500,
error
});
}
}
export async function checkFiles(start: Date, end: Date) {
const collection = getGFSCollection('dataset');
const where = {
uploadDate: { $gte: start, $lte: end }
};
// 1. get all file _id
const files = await collection
.find(where, {
projection: {
metadata: 1,
_id: 1
}
})
.toArray();
console.log('total files', files.length);
let index = 0;
for await (const file of files) {
try {
// 2. find fileId in dataset.collections
const hasCollection = await MongoDatasetCollection.countDocuments({
teamId: file.metadata.teamId,
fileId: file._id
});
// 3. if not found, delete file
if (hasCollection === 0) {
await delFileByFileIdList({ bucketName: 'dataset', fileIdList: [String(file._id)] });
console.log('delete file', file._id);
deleteFileAmount++;
}
index++;
index % 100 === 0 && console.log(index);
} catch (error) {
console.log(error);
}
}
console.log(`检测完成,共删除 ${deleteFileAmount} 个无效文件`);
}

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@@ -1,96 +0,0 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@fastgpt/service/common/response';
import { connectToDatabase } from '@/service/mongo';
import { authCert } from '@fastgpt/service/support/permission/auth/common';
import { addLog } from '@fastgpt/service/common/system/log';
import { deleteDatasetDataVector } from '@fastgpt/service/common/vectorStore/controller';
import { MongoDatasetData } from '@fastgpt/service/core/dataset/data/schema';
import { addHours } from 'date-fns';
import { MongoDatasetCollection } from '@fastgpt/service/core/dataset/collection/schema';
import { MongoDatasetTraining } from '@fastgpt/service/core/dataset/training/schema';
/*
检测无效的 Mongo 数据
异常情况:
1. 训练过程删除知识库,可能导致还会有新的数据插入,导致无效。
*/
let deleteAmount = 0;
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
const { startHour = 3, endHour = 1 } = req.body as { startHour?: number; endHour?: number };
await authCert({ req, authRoot: true });
await connectToDatabase();
// start: now - maxDay, end: now - endHour
const start = addHours(new Date(), -startHour);
const end = addHours(new Date(), -endHour);
deleteAmount = 0;
await checkInvalidCollection(start, end);
jsonRes(res, {
data: deleteAmount,
message: 'success'
});
} catch (error) {
addLog.error(`check Invalid user error`, error);
jsonRes(res, {
code: 500,
error
});
}
}
export async function checkInvalidCollection(start: Date, end: Date) {
// 1. 获取时间范围的所有data
const rows = await MongoDatasetData.find(
{
updateTime: {
$gte: start,
$lte: end
}
},
'_id teamId collectionId'
).lean();
// 2. 合并所有的collectionId
const map = new Map<string, { teamId: string; collectionId: string }>();
for (const item of rows) {
const collectionId = String(item.collectionId);
if (!map.has(collectionId)) {
map.set(collectionId, { teamId: item.teamId, collectionId });
}
}
const list = Array.from(map.values());
console.log('total collections', list.length);
let index = 0;
for await (const item of list) {
try {
// 3. 查看该collection是否存在不存在则删除对应的数据
const collection = await MongoDatasetCollection.findOne({ _id: item.collectionId });
if (!collection) {
const result = await Promise.all([
MongoDatasetTraining.deleteMany({
teamId: item.teamId,
collectionId: item.collectionId
}),
MongoDatasetData.deleteMany({
teamId: item.teamId,
collectionId: item.collectionId
}),
deleteDatasetDataVector({
teamId: item.teamId,
collectionIds: [String(item.collectionId)]
})
]);
console.log(result);
console.log('collection is not found', item);
continue;
}
} catch (error) {}
console.log(++index);
}
}

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@@ -1,86 +0,0 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@fastgpt/service/common/response';
import { connectToDatabase } from '@/service/mongo';
import { authCert } from '@fastgpt/service/support/permission/auth/common';
import { addLog } from '@fastgpt/service/common/system/log';
import {
deleteDatasetDataVector,
getVectorDataByTime
} from '@fastgpt/service/common/vectorStore/controller';
import { MongoDatasetData } from '@fastgpt/service/core/dataset/data/schema';
import { addHours } from 'date-fns';
/*
检测无效的 Vector 数据.
异常情况:
1. 插入数据时vector成功mongo失败
2. 更新数据,也会有插入 vector
*/
let deletedVectorAmount = 0;
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
const { startHour = 5, endHour = 1 } = req.body as { startHour?: number; endHour?: number };
await authCert({ req, authRoot: true });
await connectToDatabase();
// start: now - maxDay, end: now - endHour
const start = addHours(new Date(), -startHour);
const end = addHours(new Date(), -endHour);
deletedVectorAmount = 0;
await checkInvalidVector(start, end);
jsonRes(res, {
data: deletedVectorAmount,
message: 'success'
});
} catch (error) {
addLog.error(`check Invalid user error`, error);
jsonRes(res, {
code: 500,
error
});
}
}
export async function checkInvalidVector(start: Date, end: Date) {
// 1. get all vector data
const rows = await getVectorDataByTime(start, end);
console.log('total data', rows.length);
let index = 0;
for await (const item of rows) {
if (!item.teamId || !item.datasetId || !item.id) {
console.log('error data', item);
continue;
}
try {
// 2. find dataset.data
const hasData = await MongoDatasetData.countDocuments({
teamId: item.teamId,
datasetId: item.datasetId,
'indexes.dataId': item.id
});
// 3. if not found, delete vector
if (hasData === 0) {
await deleteDatasetDataVector({
teamId: item.teamId,
id: item.id
});
console.log('delete vector data', item.id);
deletedVectorAmount++;
}
index++;
index % 100 === 0 && console.log(index);
} catch (error) {
console.log(error);
}
}
console.log(`检测完成,共删除 ${deletedVectorAmount} 个无效 向量 数据`);
}

View File

@@ -117,3 +117,5 @@ export const RenderUploadFiles = ({
</>
) : null;
};
export default RenderUploadFiles;

View File

@@ -249,7 +249,7 @@ const InputDataModal = ({
return openConfirm(onDeleteData)();
}
if (e === TabEnum.doc) {
return window.open(getDocPath('/docs/course/datasetengine'), '_blank');
return window.open(getDocPath('/docs/course/dataset_engine'), '_blank');
}
setCurrentTab(e);
}}

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@@ -1,22 +1,61 @@
import { setCron } from '@fastgpt/service/common/system/cron';
import { startTrainingQueue } from '@/service/core/dataset/training/utils';
import { clearTmpUploadFiles } from '@fastgpt/service/common/file/utils';
import { checkInvalidDatasetFiles, checkInvalidDatasetData, checkInvalidVector } from './cronTask';
import { checkTimerLock } from '@fastgpt/service/common/system/timerLock/utils';
import { TimerIdEnum } from '@fastgpt/service/common/system/timerLock/constants';
import { addHours } from 'date-fns';
export const startCron = () => {
setTrainingQueueCron();
setClearTmpUploadFilesCron();
};
export const setTrainingQueueCron = () => {
const setTrainingQueueCron = () => {
setCron('*/1 * * * *', () => {
startTrainingQueue();
});
};
export const setClearTmpUploadFilesCron = () => {
clearTmpUploadFiles();
const setClearTmpUploadFilesCron = () => {
// Clear tmp upload files every ten minutes
setCron('*/10 * * * *', () => {
clearTmpUploadFiles();
});
};
const clearInvalidDataCron = () => {
setCron('0 */1 * * *', async () => {
if (
await checkTimerLock({
timerId: TimerIdEnum.checkInValidDatasetFiles,
lockMinuted: 59
})
) {
checkInvalidDatasetFiles(addHours(new Date(), 2), addHours(new Date(), 6));
}
});
setCron('10 */1 * * *', async () => {
if (
await checkTimerLock({
timerId: TimerIdEnum.checkInvalidDatasetData,
lockMinuted: 59
})
) {
checkInvalidDatasetData(addHours(new Date(), 2), addHours(new Date(), 6));
}
});
setCron('30 */1 * * *', async () => {
if (
await checkTimerLock({
timerId: TimerIdEnum.checkInvalidVector,
lockMinuted: 59
})
) {
checkInvalidVector(addHours(new Date(), 2), addHours(new Date(), 6));
}
});
};
export const startCron = () => {
setTrainingQueueCron();
setClearTmpUploadFilesCron();
clearInvalidDataCron();
};

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@@ -0,0 +1,157 @@
import {
delFileByFileIdList,
getGFSCollection
} from '@fastgpt/service/common/file/gridfs/controller';
import { addLog } from '@fastgpt/service/common/system/log';
import {
deleteDatasetDataVector,
getVectorDataByTime
} from '@fastgpt/service/common/vectorStore/controller';
import { MongoDatasetCollection } from '@fastgpt/service/core/dataset/collection/schema';
import { MongoDatasetData } from '@fastgpt/service/core/dataset/data/schema';
import { MongoDatasetTraining } from '@fastgpt/service/core/dataset/training/schema';
/*
check dataset.files data. If there is no match in dataset.collections, delete it
可能异常情况
1. 上传了文件,未成功创建集合
*/
export async function checkInvalidDatasetFiles(start: Date, end: Date) {
let deleteFileAmount = 0;
const collection = getGFSCollection('dataset');
const where = {
uploadDate: { $gte: start, $lte: end }
};
// 1. get all file _id
const files = await collection
.find(where, {
projection: {
metadata: 1,
_id: 1
}
})
.toArray();
addLog.info(`Clear invalid dataset files, total files: ${files.length}`);
let index = 0;
for await (const file of files) {
try {
// 2. find fileId in dataset.collections
const hasCollection = await MongoDatasetCollection.countDocuments({
teamId: file.metadata.teamId,
fileId: file._id
});
// 3. if not found, delete file
if (hasCollection === 0) {
await delFileByFileIdList({ bucketName: 'dataset', fileIdList: [String(file._id)] });
console.log('delete file', file._id);
deleteFileAmount++;
}
index++;
index % 100 === 0 && console.log(index);
} catch (error) {
console.log(error);
}
}
addLog.info(`Clear invalid dataset files finish, remove ${deleteFileAmount} files`);
}
/*
检测无效的 Mongo 数据
异常情况:
1. 训练过程删除知识库,可能导致还会有新的数据继续插入,导致无效。
*/
export async function checkInvalidDatasetData(start: Date, end: Date) {
// 1. 获取时间范围的所有data
const rows = await MongoDatasetData.find(
{
updateTime: {
$gte: start,
$lte: end
}
},
'_id teamId collectionId'
).lean();
// 2. 合并所有的collectionId
const map = new Map<string, { teamId: string; collectionId: string }>();
for (const item of rows) {
const collectionId = String(item.collectionId);
if (!map.has(collectionId)) {
map.set(collectionId, { teamId: item.teamId, collectionId });
}
}
const list = Array.from(map.values());
addLog.info(`Clear invalid dataset data, total collections: ${list.length}`);
let index = 0;
for await (const item of list) {
try {
// 3. 查看该collection是否存在不存在则删除对应的数据
const collection = await MongoDatasetCollection.findOne({ _id: item.collectionId });
if (!collection) {
const result = await Promise.all([
MongoDatasetTraining.deleteMany({
teamId: item.teamId,
collectionId: item.collectionId
}),
MongoDatasetData.deleteMany({
teamId: item.teamId,
collectionId: item.collectionId
}),
deleteDatasetDataVector({
teamId: item.teamId,
collectionIds: [String(item.collectionId)]
})
]);
console.log(result);
console.log('collection is not found', item);
continue;
}
} catch (error) {}
console.log(++index);
}
}
export async function checkInvalidVector(start: Date, end: Date) {
let deletedVectorAmount = 0;
// 1. get all vector data
const rows = await getVectorDataByTime(start, end);
addLog.info(`Clear invalid vector, total vector data: ${rows.length}`);
let index = 0;
for await (const item of rows) {
if (!item.teamId || !item.datasetId || !item.id) {
addLog.error('error data', item);
continue;
}
try {
// 2. find dataset.data
const hasData = await MongoDatasetData.countDocuments({
teamId: item.teamId,
datasetId: item.datasetId,
'indexes.dataId': item.id
});
// 3. if not found, delete vector
if (hasData === 0) {
await deleteDatasetDataVector({
teamId: item.teamId,
id: item.id
});
console.log('delete vector data', item.id);
deletedVectorAmount++;
}
index++;
index % 100 === 0 && console.log(index);
} catch (error) {
console.log(error);
}
}
addLog.info(`Clear invalid vector finish, remove ${deletedVectorAmount} data`);
}

View File

@@ -44,8 +44,7 @@ export async function insertData2Dataset({
indexes =
Array.isArray(indexes) && indexes.length > 0
? indexes.map((index) => ({
// @ts-ignore
...index.toObject(),
text: index.text,
dataId: undefined,
defaultIndex: index.text.trim() === qaStr
}))

View File

@@ -1,9 +1,11 @@
import { UsageSourceEnum } from '@fastgpt/global/support/wallet/usage/constants';
import type { UserModelSchema } from '@fastgpt/global/support/user/type';
import { LafAccountType } from '@fastgpt/global/support/user/team/type.d';
export interface UserUpdateParams {
balance?: number;
avatar?: string;
timezone?: string;
openaiAccount?: UserModelSchema['openaiAccount'];
lafAccount?: LafAccountType;
}

View File

@@ -0,0 +1,169 @@
import axios, {
Method,
InternalAxiosRequestConfig,
AxiosResponse,
AxiosProgressEvent
} from 'axios';
import { useUserStore } from '@/web/support/user/useUserStore';
interface ConfigType {
headers?: { [key: string]: string };
timeout?: number;
onUploadProgress?: (progressEvent: AxiosProgressEvent) => void;
cancelToken?: AbortController;
maxQuantity?: number;
}
interface ResponseDataType {
error: string | null;
data: any;
}
const maxQuantityMap: Record<
string,
{
amount: number;
sign: AbortController;
}
> = {};
function requestStart({ url, maxQuantity }: { url: string; maxQuantity?: number }) {
if (!maxQuantity) return;
const item = maxQuantityMap[url];
if (item) {
if (item.amount >= maxQuantity && item.sign) {
item.sign.abort();
delete maxQuantityMap[url];
}
} else {
maxQuantityMap[url] = {
amount: 1,
sign: new AbortController()
};
}
}
function requestFinish({ url }: { url: string }) {
const item = maxQuantityMap[url];
if (item) {
item.amount--;
if (item.amount <= 0) {
delete maxQuantityMap[url];
}
}
}
/**
* 请求开始
*/
function startInterceptors(config: InternalAxiosRequestConfig): InternalAxiosRequestConfig {
if (config.headers && !config.headers.Authorization) {
config.headers.Authorization = `Bearer ${useUserStore.getState().userInfo?.team?.lafAccount?.token || ''}`;
}
return config;
}
/**
* 请求成功,检查请求头
*/
function responseSuccess(response: AxiosResponse<ResponseDataType>) {
return response;
}
/**
* 响应数据检查
*/
function checkRes(data: ResponseDataType) {
if (data === undefined) {
console.log('error->', data, 'data is empty');
return Promise.reject('服务器异常');
} else if (data.error) {
return responseError(data.error);
}
return data.data;
}
/**
* 响应错误
*/
function responseError(err: any) {
console.log('error->', '请求错误', err);
if (!err) {
return Promise.reject({ message: '未知错误' });
}
if (typeof err === 'string') {
return Promise.reject({ message: err });
}
if (err?.response?.data) {
return Promise.reject(err?.response?.data);
}
return Promise.reject(err);
}
/* 创建请求实例 */
const instance = axios.create({
timeout: 60000, // 超时时间
headers: {
'content-type': 'application/json'
}
});
/* 请求拦截 */
instance.interceptors.request.use(startInterceptors, (err) => Promise.reject(err));
/* 响应拦截 */
instance.interceptors.response.use(responseSuccess, (err) => Promise.reject(err));
function request(
url: string,
data: any,
{ cancelToken, maxQuantity, ...config }: ConfigType,
method: Method
): any {
/* 去空 */
for (const key in data) {
if (data[key] === null || data[key] === undefined) {
delete data[key];
}
}
requestStart({ url, maxQuantity });
return instance
.request({
baseURL: '/api/lafApi',
url,
method,
data: ['POST', 'PUT'].includes(method) ? data : null,
params: !['POST', 'PUT'].includes(method) ? data : null,
signal: cancelToken?.signal,
...config // 用户自定义配置,可以覆盖前面的配置
})
.then((res) => checkRes(res.data))
.catch((err) => responseError(err))
.finally(() => requestFinish({ url }));
}
/**
* api请求方式
* @param {String} url
* @param {Any} params
* @param {Object} config
* @returns
*/
export function GET<T = undefined>(url: string, params = {}, config: ConfigType = {}): Promise<T> {
return request(url, params, config, 'GET');
}
export function POST<T = undefined>(url: string, data = {}, config: ConfigType = {}): Promise<T> {
return request(url, data, config, 'POST');
}
export function PUT<T = undefined>(url: string, data = {}, config: ConfigType = {}): Promise<T> {
return request(url, data, config, 'PUT');
}
export function DELETE<T = undefined>(url: string, data = {}, config: ConfigType = {}): Promise<T> {
return request(url, data, config, 'DELETE');
}

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@@ -0,0 +1,34 @@
import { GET, POST, PUT } from '@/web/common/api/lafRequest';
export const postLafPat2Token = (pat: string) => POST<string>(`/v1/auth/pat2token`, { pat });
export const getLafApplications = (token: string) =>
GET<
{
appid: string;
name: string;
state: 'Running' | 'Failed' | 'Stopped';
}[]
>(
`/v1/applications`,
{},
{
headers: {
Authorization: `Bearer ${token}`
}
}
);
export const getLafAppDetail = (appid: string) =>
GET<{
appid: string;
name: string;
openapi_token: string;
domain: {
_id: string;
appid: string;
domain: string;
state: string;
phase: string;
};
}>(`/v1/applications/${appid}`);