fix: ts

.github/workflows/fastgpt-image.yml

@@ -77,3 +77,28 @@ jobs:
         run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
       - name: Push image to Docker Hub
         run: docker push ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
+  push-to-ali-hub:
+    needs: build-fastgpt-images
+    runs-on: ubuntu-20.04
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v3
+      - name: Login to Ali Hub
+        uses: docker/login-action@v2
+        with:
+          registry: registry.cn-hangzhou.aliyuncs.com
+          username: ${{ secrets.ALI_HUB_USERNAME }}
+          password: ${{ secrets.ALI_HUB_PASSWORD }}
+      - name: Set DOCKER_REPO_TAGGED based on branch or tag
+        run: |
+          if [[ "${{ github.ref_name }}" == "main" ]]; then
+            echo "IMAGE_TAG=latest" >> $GITHUB_ENV
+          else
+            echo "IMAGE_TAG=${{ github.ref_name }}" >> $GITHUB_ENV
+          fi
+      - name: Pull image from GitHub Container Registry
+        run: docker pull ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}}
+      - name: Tag image with Docker Hub repository name and version tag
+        run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}
+      - name: Push image to Docker Hub
+        run: docker push ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}

client/src/constants/kb.ts

@@ -3,10 +3,8 @@ import type { KbItemType } from '@/types/plugin';
 export const defaultKbDetail: KbItemType = {
   _id: '',
   userId: '',
-  updateTime: new Date(),
   avatar: '/icon/logo.svg',
   name: '',
   tags: '',
-  totalData: 0,
+  vectorModelName: 'text-embedding-ada-002'
-  model: 'text-embedding-ada-002'
 };

client/src/pages/api/openapi/kb/updateData.ts

@@ -40,7 +40,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
         return getVector({
           userId,
           input: [q],
-          model: kb.model
+          model: kb.vectorModel
         });
       }
       return { vectors: [[]] };

client/src/pages/api/plugins/kb/update.ts

@@ -2,7 +2,7 @@ import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { connectToDatabase, KB } from '@/service/mongo';
 import { authUser } from '@/service/utils/auth';
-import type { KbUpdateParams } from '@/api/plugins/kb';
+import type { KbUpdateParams } from '@/api/request/kb';
 
 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
   try {

client/src/pages/kb/detail/components/InputDataModal.tsx

@@ -56,7 +56,6 @@ const InputDataModal = ({
         };
         const { insertLen } = await postKbDataFromList({
           kbId,
-          model: vectorModelList[0].model,
           mode: TrainingModeEnum.index,
           data: [data]
         });

client/src/service/utils/tools.ts

@@ -92,9 +92,9 @@ export const sseResponse = ({
 /* add logger */
 export const addLog = {
   info: (msg: string, obj?: Record<string, any>) => {
-    global.logger.info(msg, { meta: obj });
+    global.logger?.info(msg, { meta: obj });
   },
   error: (msg: string, obj?: Record<string, any>) => {
-    global.logger.error(msg, { meta: obj });
+    global.logger?.error(msg, { meta: obj });
   }
 };