4.8.9 test (#2299)

* perf: read file prompt

* perf: read file prompt

* perf: free plan tip

* feat: cron job usage

* perf: app templates

* perf: get llm model by name

* feat: support outlink upload file

* fix: upload limit

packages/service/core/ai/model.ts

@@ -1,20 +1,28 @@
 export const getLLMModel = (model?: string) => {
-  return global.llmModels.find((item) => item.model === model) ?? global.llmModels[0];
+  return (
+    global.llmModels.find((item) => item.model === model || item.name === model) ??
+    global.llmModels[0]
+  );
 };
 export const getDatasetModel = (model?: string) => {
   return (
-    global.llmModels?.filter((item) => item.datasetProcess)?.find((item) => item.model === model) ??
+    global.llmModels
-    global.llmModels[0]
+      ?.filter((item) => item.datasetProcess)
+      ?.find((item) => item.model === model || item.name === model) ?? global.llmModels[0]
   );
 };
 
 export const getVectorModel = (model?: string) => {
-  return global.vectorModels.find((item) => item.model === model) || global.vectorModels[0];
+  return (
+    global.vectorModels.find((item) => item.model === model || item.name === model) ||
+    global.vectorModels[0]
+  );
 };
 
 export function getAudioSpeechModel(model?: string) {
   return (
-    global.audioSpeechModels.find((item) => item.model === model) || global.audioSpeechModels[0]
+    global.audioSpeechModels.find((item) => item.model === model || item.name === model) ||
+    global.audioSpeechModels[0]
   );
 }
 

packages/service/core/workflow/dispatch/tools/readFiles.ts

@@ -95,7 +95,7 @@ export const dispatchReadFiles = async (props: Props): Promise<Response> => {
     })
     .filter(Boolean)
     .slice(0, maxFiles);
-  console.log(parseUrlList);
+
   const readFilesResult = await Promise.all(
     parseUrlList
       .map(async (url) => {

projects/app/public/imgs/app/templates/flux.svg

@@ -0,0 +1 @@
+<svg width="100%" height="100%" viewBox="0 0 89 32" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M52.308 3.07812H57.8465V4.92428H56.0003V6.77043H54.1541V10.4627H57.8465V12.3089H54.1541V25.232H52.308V27.0781H46.7695V25.232H48.6157V12.3089H46.7695V10.4627H48.6157V6.77043H50.4618V4.92428H52.308V3.07812Z" fill="currentColor"></path><path d="M79.3849 23.3858H81.2311V25.232H83.0772V27.0781H88.6157V25.232H86.7695V23.3858H84.9234V4.92428H79.3849V23.3858Z" fill="currentColor"></path><path d="M57.8465 14.155H59.6926V12.3089H61.5388V10.4627H70.7695V12.3089H74.4618V23.3858H76.308V25.232H78.1541V27.0781H72.6157V25.232H70.7695V23.3858H68.9234V14.155H67.0772V12.3089H65.2311V14.155H63.3849V23.3858H65.2311V25.232H67.0772V27.0781H61.5388V25.232H59.6926V23.3858H57.8465V14.155Z" fill="currentColor"></path><path d="M67.0772 25.232V23.3858H68.9234V25.232H67.0772Z" fill="currentColor"></path><rect opacity="0.22" x="7.38477" y="29.5391" width="2.46154" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.85" x="2.46094" y="19.6914" width="12.3077" height="2.46154" fill="#5F4CD9"></rect><rect x="4.92383" y="17.2305" width="9.84615" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.4" x="7.38477" y="27.0781" width="4.92308" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.7" y="22.1562" width="14.7692" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.5" x="7.38477" y="24.6133" width="7.38462" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.22" x="7.38477" y="12.3086" width="2.46154" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.85" x="2.46094" y="2.46094" width="12.3077" height="2.46154" fill="#5F4CD9"></rect><rect x="4.92383" width="9.84615" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.4" x="7.38477" y="9.84375" width="4.92308" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.7" y="4.92188" width="14.7692" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.5" x="7.38477" y="7.38281" width="7.38462" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.22" x="24.6152" y="29.5391" width="2.46154" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.85" x="19.6914" y="19.6914" width="12.3077" height="2.46154" fill="#5F4CD9"></rect><rect x="22.1543" y="17.2305" width="9.84615" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.4" x="24.6152" y="27.0781" width="4.92308" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.7" x="17.2305" y="22.1562" width="14.7692" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.5" x="24.6152" y="24.6133" width="7.38462" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.22" x="24.6152" y="12.3086" width="2.46154" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.85" x="19.6914" y="2.46094" width="12.3077" height="2.46154" fill="#5F4CD9"></rect><rect x="22.1543" width="9.84615" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.4" x="24.6152" y="9.84375" width="4.92308" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.7" x="17.2305" y="4.92188" width="14.7692" height="2.46154" fill="#5F4CD9"></rect><rect opacity="0.5" x="24.6152" y="7.38281" width="7.38462" height="2.46154" fill="#5F4CD9"></rect></svg>

projects/app/src/components/core/ai/AISettingModal/index.tsx

@@ -20,6 +20,7 @@ import { getDocPath } from '@/web/common/system/doc';
 import AIModelSelector from '@/components/Select/AIModelSelector';
 import { LLMModelItemType } from '@fastgpt/global/core/ai/model.d';
 import QuestionTip from '@fastgpt/web/components/common/MyTooltip/QuestionTip';
+import { getWebLLMModel } from '@/web/common/system/utils';
 
 const AIChatSettingsModal = ({
   onClose,
@@ -44,18 +45,18 @@ const AIChatSettingsModal = ({
   const showVisionSwitch = watch(NodeInputKeyEnum.aiChatVision) !== undefined;
   const showMaxHistoriesSlider = watch('maxHistories') !== undefined;
   const useVision = watch('aiChatVision');
-  const selectedModel = llmModelList.find((item) => item.model === model) || llmModelList[0];
+  const selectedModel = getWebLLMModel(model);
   const llmSupportVision = !!selectedModel?.vision;
 
   const tokenLimit = useMemo(() => {
-    return llmModelList.find((item) => item.model === model)?.maxResponse || 4096;
+    return selectedModel?.maxResponse || 4096;
-  }, [llmModelList, model]);
+  }, [selectedModel?.maxResponse]);
 
   const onChangeModel = (e: string) => {
     setValue('model', e);
 
     // update max tokens
-    const modelData = llmModelList.find((item) => item.model === e);
+    const modelData = getWebLLMModel(e);
     if (modelData) {
       setValue('maxToken', modelData.maxResponse / 2);
     }

projects/app/src/components/core/chat/ChatContainer/ChatBox/Input/ChatInput.tsx

@@ -137,6 +137,7 @@ const ChatInput = ({
             const { previewUrl } = await uploadFile2DB({
               file: copyFile.rawFile,
               bucketName: 'chat',
+              outLinkAuthData,
               metadata: {
                 chatId
               },
@@ -168,7 +169,7 @@ const ChatInput = ({
     {
       manual: false,
       errorToast: t('common:upload_file_error'),
-      refreshDeps: [fileList]
+      refreshDeps: [fileList, outLinkAuthData, chatId]
     }
   );
   const onSelectFile = useCallback(

projects/app/src/components/core/dataset/SearchParamsTip.tsx

@@ -7,6 +7,7 @@ import {
 import { useTranslation } from 'next-i18next';
 import React, { useMemo } from 'react';
 import MyIcon from '@fastgpt/web/components/common/Icon';
+import { getWebLLMModel } from '@/web/common/system/utils';
 
 const SearchParamsTip = ({
   searchMode,
@@ -34,11 +35,8 @@ const SearchParamsTip = ({
 
   const extensionModelName = useMemo(
     () =>
-      datasetSearchUsingExtensionQuery
+      datasetSearchUsingExtensionQuery ? getWebLLMModel(queryExtensionModel)?.name : undefined,
-        ? llmModelList.find((item) => item.model === queryExtensionModel)?.name ??
+    [datasetSearchUsingExtensionQuery, queryExtensionModel, llmModelList]
-          llmModelList[0]?.name
-        : undefined,
-    [datasetSearchUsingExtensionQuery, llmModelList, queryExtensionModel]
   );
 
   return (

projects/app/src/pages/api/common/file/upload.ts

@@ -1,6 +1,5 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@fastgpt/service/common/response';
-import { authCert } from '@fastgpt/service/support/permission/auth/common';
 import { uploadFile } from '@fastgpt/service/common/file/gridfs/controller';
 import { getUploadModel } from '@fastgpt/service/common/file/multer';
 import { removeFilesByPaths } from '@fastgpt/service/common/file/utils';
@@ -10,6 +9,7 @@ import { ReadFileBaseUrl } from '@fastgpt/global/common/file/constants';
 import { addLog } from '@fastgpt/service/common/system/log';
 import { authFrequencyLimit } from '@/service/common/frequencyLimit/api';
 import { addSeconds } from 'date-fns';
+import { authChatCert } from '@/service/support/permission/auth/chat';
 
 const authUploadLimit = (tmbId: string) => {
   if (!global.feConfigs.uploadFileMaxAmount) return;
@@ -21,20 +21,19 @@ const authUploadLimit = (tmbId: string) => {
 };
 
 async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  const start = Date.now();
-  /* Creates the multer uploader */
-  const upload = getUploadModel({
-    maxSize: (global.feConfigs?.uploadFileMaxSize || 500) * 1024 * 1024
-  });
   const filePaths: string[] = [];
-
   try {
-    const { teamId, tmbId } = await authCert({ req, authToken: true });
+    const start = Date.now();
-
+    /* Creates the multer uploader */
-    await authUploadLimit(tmbId);
+    const upload = getUploadModel({
-
+      maxSize: (global.feConfigs?.uploadFileMaxSize || 500) * 1024 * 1024
+    });
     const { file, bucketName, metadata } = await upload.doUpload(req, res);
 
+    const { teamId, tmbId, outLinkUid } = await authChatCert({ req, authToken: true });
+
+    await authUploadLimit(outLinkUid || tmbId);
+
     addLog.info(`Upload file success ${file.originalname}, cost ${Date.now() - start}ms`);
 
     if (!bucketName) {
@@ -51,15 +50,19 @@ async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
       metadata: metadata
     });
 
-    return {
+    jsonRes(res, {
-      fileId,
+      data: {
-      previewUrl: `${ReadFileBaseUrl}?filename=${file.originalname}&token=${await createFileToken({
+        fileId,
-        bucketName,
+        previewUrl: `${ReadFileBaseUrl}?filename=${file.originalname}&token=${await createFileToken(
-        teamId,
+          {
-        tmbId,
+            bucketName,
-        fileId
+            teamId,
-      })}`
+            tmbId,
-    };
+            fileId
+          }
+        )}`
+      }
+    });
   } catch (error) {
     jsonRes(res, {
       code: 500,

projects/app/src/pages/app/detail/components/SimpleApp/EditForm.tsx

@@ -35,6 +35,7 @@ import { AppContext } from '@/pages/app/detail/components/context';
 import QuestionTip from '@fastgpt/web/components/common/MyTooltip/QuestionTip';
 import FormLabel from '@fastgpt/web/components/common/MyBox/FormLabel';
 import VariableTip from '@/components/common/Textarea/MyTextarea/VariableTip';
+import { getWebLLMModel } from '@/web/common/system/utils';
 
 const DatasetSelectModal = dynamic(() => import('@/components/core/app/DatasetSelectModal'));
 const DatasetParamsModal = dynamic(() => import('@/components/core/app/DatasetParamsModal'));
@@ -121,8 +122,7 @@ const EditForm = ({
     [appForm.chatConfig.variables, t]
   );
 
-  const selectedModel =
+  const selectedModel = getWebLLMModel(appForm.aiSettings.model);
-    llmModelList.find((item) => item.model === appForm.aiSettings.model) ?? llmModelList[0];
   const tokenLimit = useMemo(() => {
     return selectedModel?.quoteMaxToken || 3000;
   }, [selectedModel.quoteMaxToken]);

projects/app/src/pages/app/detail/components/WorkflowComponents/Flow/nodes/NodeDatasetConcat.tsx

@@ -29,6 +29,7 @@ import FormLabel from '@fastgpt/web/components/common/MyBox/FormLabel';
 import ValueTypeLabel from './render/ValueTypeLabel';
 import MyIcon from '@fastgpt/web/components/common/Icon';
 import { isWorkflowStartOutput } from '@fastgpt/global/core/workflow/template/system/workflowStart';
+import { getWebLLMModel } from '@/web/common/system/utils';
 
 const NodeDatasetConcat = ({ data, selected }: NodeProps<FlowNodeItemType>) => {
   const { t } = useTranslation();
@@ -46,8 +47,7 @@ const NodeDatasetConcat = ({ data, selected }: NodeProps<FlowNodeItemType>) => {
       if (item.flowNodeType === FlowNodeTypeEnum.chatNode) {
         const model =
           item.inputs.find((item) => item.key === NodeInputKeyEnum.aiModel)?.value || '';
-        const quoteMaxToken =
+        const quoteMaxToken = getWebLLMModel(model)?.quoteMaxToken || 3000;
-          llmModelList.find((item) => item.model === model)?.quoteMaxToken || 3000;
 
         maxTokens = Math.max(maxTokens, quoteMaxToken);
       }

projects/app/src/pages/app/detail/components/WorkflowComponents/Flow/nodes/render/RenderInput/templates/SelectDatasetParams.tsx

@@ -11,6 +11,7 @@ import { useSystemStore } from '@/web/common/system/useSystemStore';
 import SearchParamsTip from '@/components/core/dataset/SearchParamsTip';
 import { useContextSelector } from 'use-context-selector';
 import { WorkflowContext } from '@/pages/app/detail/components/WorkflowComponents/context';
+import { getWebLLMModel } from '@/web/common/system/utils';
 
 const SelectDatasetParam = ({ inputs = [], nodeId }: RenderInputProps) => {
   const onChangeNode = useContextSelector(WorkflowContext, (v) => v.onChangeNode);
@@ -36,8 +37,7 @@ const SelectDatasetParam = ({ inputs = [], nodeId }: RenderInputProps) => {
       if (item.flowNodeType === FlowNodeTypeEnum.chatNode) {
         const model =
           item.inputs.find((item) => item.key === NodeInputKeyEnum.aiModel)?.value || '';
-        const quoteMaxToken =
+        const quoteMaxToken = getWebLLMModel(model)?.quoteMaxToken || 3000;
-          llmModelList.find((item) => item.model === model)?.quoteMaxToken || 3000;
 
         maxTokens = Math.max(maxTokens, quoteMaxToken);
       }

projects/app/src/pages/chat/index.tsx

@@ -338,7 +338,7 @@ export async function getServerSideProps(context: any) {
     props: {
       appId: context?.query?.appId || '',
       chatId: context?.query?.chatId || '',
-      ...(await serviceSideProps(context, ['file', 'app', 'chat']))
+      ...(await serviceSideProps(context, ['file', 'app', 'chat', 'workflow']))
     }
   };
 }

projects/app/src/pages/chat/share.tsx

@@ -394,7 +394,7 @@ export async function getServerSideProps(context: any) {
       appIntro: app?.appId?.intro ?? 'intro',
       shareId: shareId ?? '',
       authToken: authToken ?? '',
-      ...(await serviceSideProps(context, ['file', 'app', 'chat']))
+      ...(await serviceSideProps(context, ['file', 'app', 'chat', 'workflow']))
     }
   };
 }

projects/app/src/pages/chat/team.tsx

@@ -337,7 +337,7 @@ export async function getServerSideProps(context: any) {
       chatId: context?.query?.chatId || '',
       teamId: context?.query?.teamId || '',
       teamToken: context?.query?.teamToken || '',
-      ...(await serviceSideProps(context, ['file', 'app', 'chat']))
+      ...(await serviceSideProps(context, ['file', 'app', 'chat', 'workflow']))
     }
   };
 }

projects/app/src/service/support/permission/auth/chat.ts

@@ -103,7 +103,15 @@ export async function authChatCrud({
   3. share page (body: shareId outLinkUid)
   4. team chat page (body: teamId teamToken)
 */
-export async function authChatCert(props: AuthModeType) {
+export async function authChatCert(props: AuthModeType): Promise<{
+  teamId: string;
+  tmbId: string;
+  authType: AuthUserTypeEnum;
+  apikey: string;
+  isOwner: boolean;
+  canWrite: boolean;
+  outLinkUid?: string;
+}> {
   const { teamId, teamToken, shareId, outLinkUid } = props.req.body as OutLinkChatAuthProps;
 
   if (shareId && outLinkUid) {

projects/app/src/web/common/file/controller.ts

@@ -3,6 +3,7 @@ import { UploadImgProps } from '@fastgpt/global/common/file/api';
 import { BucketNameEnum } from '@fastgpt/global/common/file/constants';
 import { preUploadImgProps } from '@fastgpt/global/common/file/api';
 import { compressBase64Img, type CompressImgProps } from '@fastgpt/web/common/file/img';
+import { OutLinkChatAuthProps } from '@fastgpt/global/support/permission/chat';
 
 /**
  * upload file to mongo gridfs
@@ -10,11 +11,13 @@ import { compressBase64Img, type CompressImgProps } from '@fastgpt/web/common/fi
 export const uploadFile2DB = ({
   file,
   bucketName,
+  outLinkAuthData,
   metadata = {},
   percentListen
 }: {
   file: File;
   bucketName: `${BucketNameEnum}`;
+  outLinkAuthData?: OutLinkChatAuthProps;
   metadata?: Record<string, any>;
   percentListen?: (percent: number) => void;
 }) => {
@@ -22,6 +25,14 @@ export const uploadFile2DB = ({
   form.append('metadata', JSON.stringify(metadata));
   form.append('bucketName', bucketName);
   form.append('file', file, encodeURIComponent(file.name));
+
+  if (outLinkAuthData) {
+    for (const key in outLinkAuthData) {
+      // @ts-ignore
+      outLinkAuthData[key] && form.append(key, outLinkAuthData[key]);
+    }
+  }
+
   return postUploadFiles(form, (e) => {
     if (!e.total) return;
 

projects/app/src/web/common/system/utils.ts

@@ -1,3 +1,5 @@
+import { useSystemStore } from './useSystemStore';
+
 export const downloadFetch = async ({ url, filename }: { url: string; filename: string }) => {
   const a = document.createElement('a');
   a.href = url;
@@ -6,3 +8,8 @@ export const downloadFetch = async ({ url, filename }: { url: string; filename:
   a.click();
   document.body.removeChild(a);
 };
+
+export const getWebLLMModel = (model?: string) => {
+  const list = useSystemStore.getState().llmModelList;
+  return list.find((item) => item.model === model || item.name === model) ?? list[0];
+};

projects/app/src/web/core/chat/utils.ts

@@ -2,12 +2,11 @@ import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
 import { StoreNodeItemType } from '@fastgpt/global/core/workflow/type/node.d';
 import { useSystemStore } from '@/web/common/system/useSystemStore';
 import { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
+import { getWebLLMModel } from '@/web/common/system/utils';
 
 export function checkChatSupportSelectFileByChatModels(models: string[] = []) {
-  const llmModelList = useSystemStore.getState().llmModelList;
-
   for (const model of models) {
-    const modelData = llmModelList.find((item) => item.model === model || item.name === model);
+    const modelData = getWebLLMModel(model);
     if (modelData?.vision) {
       return true;
     }