feat: sync api collection will refresh title;perf: invite link ux (#4237)

* update queue

* feat: sync api collection will refresh title

* sync collection

* remove lock

* perf: invite link ux

packages/global/common/string/tools.ts

@@ -56,7 +56,7 @@ export const replaceSensitiveText = (text: string) => {
 };
 
 /* Make sure the first letter is definitely lowercase */
-export const getNanoid = (size = 12) => {
+export const getNanoid = (size = 16) => {
   const firstChar = customAlphabet('abcdefghijklmnopqrstuvwxyz', 1)();
 
   if (size === 1) return firstChar;

packages/global/core/dataset/apiDataset.d.ts

@@ -1,3 +1,5 @@
+import { RequireOnlyOne } from '../../common/type/utils';
+
 export type APIFileItem = {
   id: string;
   parentId: string | null;
@@ -15,9 +17,9 @@ export type APIFileServer = {
 
 export type APIFileListResponse = APIFileItem[];
 
-export type APIFileContentResponse = {
-  content?: string;
-  previewUrl?: string;
+export type ApiFileReadContentResponse = {
+  title?: string;
+  rawText: string;
 };
 
 export type APIFileReadResponse = {

packages/global/core/dataset/collection/utils.ts

@@ -16,3 +16,7 @@ export const getCollectionSourceData = (collection?: DatasetCollectionSchemaType
 export const checkCollectionIsFolder = (type: DatasetCollectionTypeEnum) => {
   return type === DatasetCollectionTypeEnum.folder || type === DatasetCollectionTypeEnum.virtual;
 };
+
+export const collectionCanSync = (type: DatasetCollectionTypeEnum) => {
+  return [DatasetCollectionTypeEnum.link, DatasetCollectionTypeEnum.apiFile].includes(type);
+};

packages/global/core/dataset/constants.ts

@@ -13,38 +13,38 @@ export enum DatasetTypeEnum {
 export const DatasetTypeMap = {
   [DatasetTypeEnum.folder]: {
     icon: 'common/folderFill',
-    label: 'folder_dataset',
-    collectionLabel: 'common.Folder'
+    label: i18nT('dataset:folder_dataset'),
+    collectionLabel: i18nT('common:Folder')
   },
   [DatasetTypeEnum.dataset]: {
     icon: 'core/dataset/commonDatasetOutline',
-    label: 'common_dataset',
-    collectionLabel: 'common.File'
+    label: i18nT('dataset:common_dataset'),
+    collectionLabel: i18nT('common:common.File')
   },
   [DatasetTypeEnum.websiteDataset]: {
     icon: 'core/dataset/websiteDatasetOutline',
-    label: 'website_dataset',
-    collectionLabel: 'common.Website'
+    label: i18nT('dataset:website_dataset'),
+    collectionLabel: i18nT('common:common.Website')
   },
   [DatasetTypeEnum.externalFile]: {
     icon: 'core/dataset/externalDatasetOutline',
-    label: 'external_file',
-    collectionLabel: 'common.File'
+    label: i18nT('dataset:external_file'),
+    collectionLabel: i18nT('common:common.File')
   },
   [DatasetTypeEnum.apiDataset]: {
     icon: 'core/dataset/externalDatasetOutline',
-    label: 'api_file',
-    collectionLabel: 'common.File'
+    label: i18nT('dataset:api_file'),
+    collectionLabel: i18nT('common:common.File')
   },
   [DatasetTypeEnum.feishu]: {
     icon: 'core/dataset/feishuDatasetOutline',
-    label: 'feishu_dataset',
-    collectionLabel: 'common.File'
+    label: i18nT('dataset:feishu_dataset'),
+    collectionLabel: i18nT('common:common.File')
   },
   [DatasetTypeEnum.yuque]: {
     icon: 'core/dataset/yuqueDatasetOutline',
-    label: 'yuque_dataset',
-    collectionLabel: 'common.File'
+    label: i18nT('dataset:yuque_dataset'),
+    collectionLabel: i18nT('common:common.File')
   }
 };
 

packages/service/core/dataset/apiDataset/api.ts

@@ -1,6 +1,6 @@
 import type {
-  APIFileContentResponse,
   APIFileListResponse,
+  ApiFileReadContentResponse,
   APIFileReadResponse,
   APIFileServer
 } from '@fastgpt/global/core/dataset/apiDataset';
@@ -8,6 +8,7 @@ import axios, { Method } from 'axios';
 import { addLog } from '../../../common/system/log';
 import { readFileRawTextByUrl } from '../read';
 import { ParentIdType } from '@fastgpt/global/common/parentFolder/type';
+import { RequireOnlyOne } from '@fastgpt/global/common/type/utils';
 
 type ResponseDataType = {
   success: boolean;
@@ -118,17 +119,24 @@ export const useApiDatasetRequest = ({ apiServer }: { apiServer: APIFileServer }
     tmbId: string;
     apiFileId: string;
     customPdfParse?: boolean;
-  }) => {
-    const data = await request<APIFileContentResponse>(
-      `/v1/file/content`,
-      { id: apiFileId },
-      'GET'
-    );
+  }): Promise<ApiFileReadContentResponse> => {
+    const data = await request<
+      {
+        title?: string;
+      } & RequireOnlyOne<{
+        content: string;
+        previewUrl: string;
+      }>
+    >(`/v1/file/content`, { id: apiFileId }, 'GET');
+    const title = data.title;
     const content = data.content;
     const previewUrl = data.previewUrl;
 
     if (content) {
-      return content;
+      return {
+        title,
+        rawText: content
+      };
     }
     if (previewUrl) {
       const rawText = await readFileRawTextByUrl({
@@ -138,7 +146,10 @@ export const useApiDatasetRequest = ({ apiServer }: { apiServer: APIFileServer }
         relatedId: apiFileId,
         customPdfParse
       });
-      return rawText;
+      return {
+        title,
+        rawText
+      };
     }
     return Promise.reject('Invalid content type: content or previewUrl is required');
   };

packages/service/core/dataset/collection/utils.ts

@@ -11,7 +11,6 @@ import {
   DatasetCollectionSyncResultEnum,
   DatasetCollectionTypeEnum,
   DatasetSourceReadTypeEnum,
-  DatasetTypeEnum,
   TrainingModeEnum
 } from '@fastgpt/global/core/dataset/constants';
 import { DatasetErrEnum } from '@fastgpt/global/common/error/code/dataset';
@@ -19,6 +18,7 @@ import { readDatasetSourceRawText } from '../read';
 import { hashStr } from '@fastgpt/global/common/string/tools';
 import { mongoSessionRun } from '../../../common/mongo/sessionRun';
 import { createCollectionAndInsertData, delCollection } from './controller';
+import { collectionCanSync } from '@fastgpt/global/core/dataset/collection/utils';
 
 /**
  * get all collection by top collectionId
@@ -137,10 +137,7 @@ export const collectionTagsToTagLabel = async ({
 export const syncCollection = async (collection: CollectionWithDatasetType) => {
   const dataset = collection.dataset;
 
-  if (
-    collection.type !== DatasetCollectionTypeEnum.link &&
-    dataset.type !== DatasetTypeEnum.apiDataset
-  ) {
+  if (!collectionCanSync(collection.type)) {
     return Promise.reject(DatasetErrEnum.notSupportSync);
   }
 
@@ -155,15 +152,20 @@ export const syncCollection = async (collection: CollectionWithDatasetType) => {
       };
     }
 
-    if (!collection.apiFileId) return Promise.reject('apiFileId is missing');
-    if (!dataset.apiServer) return Promise.reject('apiServer not found');
+    const sourceId = collection.apiFileId;
+
+    if (!sourceId) return Promise.reject('apiFileId is missing');
+
     return {
       type: DatasetSourceReadTypeEnum.apiFile,
-      sourceId: collection.apiFileId,
-      apiServer: dataset.apiServer
+      sourceId,
+      apiServer: dataset.apiServer,
+      feishuServer: dataset.feishuServer,
+      yuqueServer: dataset.yuqueServer
     };
   })();
-  const rawText = await readDatasetSourceRawText({
+
+  const { title, rawText } = await readDatasetSourceRawText({
     teamId: collection.teamId,
     tmbId: collection.tmbId,
     ...sourceReadType
@@ -196,7 +198,7 @@ export const syncCollection = async (collection: CollectionWithDatasetType) => {
       createCollectionParams: {
         teamId: collection.teamId,
         tmbId: collection.tmbId,
-        name: collection.name,
+        name: title || collection.name,
         datasetId: collection.datasetId,
         parentId: collection.parentId,
         type: collection.type,

packages/service/core/dataset/read.ts

@@ -79,9 +79,12 @@ export const readDatasetSourceRawText = async ({
   apiServer?: APIFileServer; // api dataset
   feishuServer?: FeishuServer; // feishu dataset
   yuqueServer?: YuqueServer; // yuque dataset
-}): Promise<string> => {
+}): Promise<{
+  title?: string;
+  rawText: string;
+}> => {
   if (type === DatasetSourceReadTypeEnum.fileLocal) {
-    const { rawText } = await readFileContentFromMongo({
+    const { filename, rawText } = await readFileContentFromMongo({
       teamId,
       tmbId,
       bucketName: BucketNameEnum.dataset,
@@ -89,14 +92,20 @@ export const readDatasetSourceRawText = async ({
       isQAImport,
       customPdfParse
     });
-    return rawText;
+    return {
+      title: filename,
+      rawText
+    };
   } else if (type === DatasetSourceReadTypeEnum.link) {
     const result = await urlsFetch({
       urlList: [sourceId],
       selector
     });
 
-    return result[0]?.content || '';
+    return {
+      title: result[0]?.title,
+      rawText: result[0]?.content || ''
+    };
   } else if (type === DatasetSourceReadTypeEnum.externalFile) {
     if (!externalFileId) return Promise.reject('FileId not found');
     const rawText = await readFileRawTextByUrl({
@@ -106,9 +115,11 @@ export const readDatasetSourceRawText = async ({
       relatedId: externalFileId,
       customPdfParse
     });
-    return rawText;
+    return {
+      rawText
+    };
   } else if (type === DatasetSourceReadTypeEnum.apiFile) {
-    const rawText = await readApiServerFileContent({
+    const { title, rawText } = await readApiServerFileContent({
       apiServer,
       feishuServer,
       yuqueServer,
@@ -116,9 +127,15 @@ export const readDatasetSourceRawText = async ({
       teamId,
       tmbId
     });
-    return rawText;
+    return {
+      title,
+      rawText
+    };
   }
-  return '';
+  return {
+    title: '',
+    rawText: ''
+  };
 };
 
 export const readApiServerFileContent = async ({
@@ -137,7 +154,10 @@ export const readApiServerFileContent = async ({
   teamId: string;
   tmbId: string;
   customPdfParse?: boolean;
-}) => {
+}): Promise<{
+  title?: string;
+  rawText: string;
+}> => {
   if (apiServer) {
     return useApiDatasetRequest({ apiServer }).getFileContent({
       teamId,
@@ -148,7 +168,10 @@ export const readApiServerFileContent = async ({
   }
 
   if (feishuServer || yuqueServer) {
-    return POST<string>(`/core/dataset/systemApiDataset`, {
+    return POST<{
+      title?: string;
+      rawText: string;
+    }>(`/core/dataset/systemApiDataset`, {
       type: 'content',
       feishuServer,
       yuqueServer,

packages/service/support/user/team/invitationLink/schema.ts

@@ -1,52 +0,0 @@
-import { TeamCollectionName } from '@fastgpt/global/support/user/team/constant';
-import { connectionMongo, getMongoModel } from '../../../../common/mongo';
-import { InvitationSchemaType } from './type';
-import { randomUUID } from 'crypto';
-const { Schema } = connectionMongo;
-
-export const InvitationCollectionName = 'team_invitation_links';
-
-const InvitationSchema = new Schema({
-  linkId: {
-    type: String,
-    required: true,
-    unique: true,
-    default: () => randomUUID()
-  },
-  teamId: {
-    type: Schema.Types.ObjectId,
-    ref: TeamCollectionName,
-    required: true
-  },
-  usedTimesLimit: {
-    type: Number,
-    default: 1,
-    enum: [1, -1]
-  },
-  forbidden: Boolean,
-  expires: Date,
-  description: String,
-  members: {
-    type: [String],
-    default: []
-  }
-});
-
-InvitationSchema.virtual('team', {
-  ref: TeamCollectionName,
-  localField: 'teamId',
-  foreignField: '_id',
-  justOne: true
-});
-
-try {
-  InvitationSchema.index({ teamId: 1 });
-  InvitationSchema.index({ expires: 1 }, { expireAfterSeconds: 30 * 24 * 60 * 60 });
-} catch (error) {
-  console.log(error);
-}
-
-export const MongoInvitationLink = getMongoModel<InvitationSchemaType>(
-  InvitationCollectionName,
-  InvitationSchema
-);

packages/web/common/zustand/index.ts

@@ -0,0 +1,8 @@
+import zustandNpm from 'zustand';
+
+export * from 'zustand';
+export * from 'zustand/middleware';
+export * from 'zustand/middleware/immer';
+
+export * from 'zustand';
+export default zustandNpm;

packages/web/hooks/useCopyData.tsx

@@ -3,6 +3,11 @@ import { useToast } from './useToast';
 import { useCallback } from 'react';
 import { hasHttps } from '../common/system/utils';
 import { isProduction } from '@fastgpt/global/common/system/constants';
+import MyModal from '../components/common/MyModal';
+import React from 'react';
+import { Box, ModalBody } from '@chakra-ui/react';
+import Tag from '../components/common/Tag';
+import { useCommonStore } from '../store/useCommonStore';
 
 /**
  * copy text data
@@ -10,49 +15,27 @@ import { isProduction } from '@fastgpt/global/common/system/constants';
 export const useCopyData = () => {
   const { t } = useTranslation();
   const { toast } = useToast();
+  const { setCopyContent } = useCommonStore();
 
   const copyData = useCallback(
-    async (
-      data: string,
-      title: string | null = t('common:common.Copy Successful'),
-      duration = 1000
-    ) => {
+    async (data: string, title = t('common:common.Copy Successful'), duration = 1000) => {
       data = data.trim();
 
       try {
         if ((hasHttps() || !isProduction) && navigator.clipboard) {
           await navigator.clipboard.writeText(data);
+          if (title) {
+            toast({
+              title,
+              status: 'success',
+              duration
+            });
+          }
         } else {
           throw new Error('');
         }
       } catch (error) {
-        // console.log(error);
-
-        const textarea = document.createElement('textarea');
-        textarea.value = data;
-        textarea.style.position = 'absolute';
-        textarea.style.opacity = '0';
-        document.body.appendChild(textarea);
-
-        textarea.select();
-        const res = document.execCommand('copy');
-        document.body.removeChild(textarea);
-
-        if (!res) {
-          return toast({
-            title: t('common:common.Copy_failed'),
-            status: 'error',
-            duration
-          });
-        }
-      }
-
-      if (title) {
-        toast({
-          title,
-          status: 'success',
-          duration
-        });
+        setCopyContent(data);
       }
     },
     [t, toast]
@@ -62,3 +45,29 @@ export const useCopyData = () => {
     copyData
   };
 };
+
+export const ManualCopyModal = () => {
+  const { t } = useTranslation();
+  const { copyContent, setCopyContent } = useCommonStore();
+
+  return (
+    <MyModal
+      isOpen={!!copyContent}
+      iconSrc="copy"
+      iconColor="primary.600"
+      title={t('common:common.Copy')}
+      maxW={['90vw', '500px']}
+      w={'100%'}
+      onClose={() => setCopyContent(undefined)}
+    >
+      <ModalBody>
+        <Tag w={'100%'} colorSchema="blue">
+          {t('common:can_copy_content_tip')}
+        </Tag>
+        <Box mt={3} borderRadius={'md'} p={3} border={'base'} userSelect={'all'}>
+          {copyContent}
+        </Box>
+      </ModalBody>
+    </MyModal>
+  );
+};

packages/web/i18n/en/account_team.json

@@ -21,7 +21,7 @@
   "edit_member_tip": "username",
   "edit_info": "Edit information",
   "edit_org_info": "Edit organization information",
-  "expires": "Expiration",
+  "expires": "Expiration time",
   "forbid_hint": "After forbidden, this invitation link will become invalid. This action is irreversible. Are you sure you want to deactivate?",
   "forbid_success": "Forbid success",
   "forbidden": "Forbidden",
@@ -62,4 +62,4 @@
   "user_team_leave_team": "Leave the team",
   "user_team_leave_team_failed": "Failure to leave the team",
   "waiting": "To be accepted"
-}
+}

packages/web/i18n/en/common.json

@@ -37,6 +37,7 @@
   "add_new_param": "Add new param",
   "app.templateMarket.templateTags.Writing": "Writing",
   "back": "Back",
+  "can_copy_content_tip": "It is not possible to copy automatically using the browser, please manually copy the following content",
   "chose_condition": "Choose Condition",
   "chosen": "Chosen",
   "classification": "Classification",
@@ -128,7 +129,6 @@
   "common.Continue_Adding": "Continue adding",
   "common.Copy": "Copy",
   "common.Copy Successful": "Copied Successfully",
-  "common.Copy_failed": "Copy Failed, Please Copy Manually",
   "common.Create Failed": "Creation Failed",
   "common.Create Success": "Created Successfully",
   "common.Create Time": "Creation Time",
@@ -645,11 +645,11 @@
   "core.dataset.training.Auto mode": "Auto index",
   "core.dataset.training.Auto mode Tip": "Increase the semantic richness of data blocks by generating related questions and summaries through sub-indexes and calling models, making it more conducive to retrieval. Requires more storage space and increases AI call times.",
   "core.dataset.training.Chunk mode": "Chunk",
-  "core.dataset.training.Full": "Estimated Over 5 Minutes",
+  "core.dataset.training.Full": "It is expected to be more than 20 minutes",
   "core.dataset.training.Leisure": "Idle",
   "core.dataset.training.QA mode": "QA",
   "core.dataset.training.Vector queue": "Index Queue",
-  "core.dataset.training.Waiting": "Estimated 5 Minutes",
+  "core.dataset.training.Waiting": "Estimated 20 minutes",
   "core.dataset.training.Website Sync": "Website Sync",
   "core.dataset.training.tag": "Queue Status",
   "core.dataset.website.Base Url": "Base URL",

packages/web/i18n/en/dataset.json

@@ -5,6 +5,7 @@
   "api_url": "API Url",
   "auto_indexes": "Automatically generate supplementary indexes",
   "auto_indexes_tips": "Additional index generation is performed through large models to improve semantic richness and improve retrieval accuracy.",
+  "auto_training_queue": "Enhanced index queueing",
   "chunk_max_tokens": "max_tokens",
   "close_auto_sync": "Are you sure you want to turn off automatic sync?",
   "collection.Create update time": "Creation/Update Time",
@@ -56,6 +57,7 @@
   "ideal_chunk_length_tips": "Segment according to the end symbol and combine multiple segments into one block. This value determines the estimated size of the block, if there is any fluctuation.",
   "image_auto_parse": "Automatic image indexing",
   "image_auto_parse_tips": "Call VLM to automatically label the pictures in the document and generate additional search indexes",
+  "image_training_queue": "Queue of image processing",
   "import.Auto mode Estimated Price Tips": "The text understanding model needs to be called, which requires more points: {{price}} points/1K tokens",
   "import.Embedding Estimated Price Tips": "Only use the index model and consume a small amount of AI points: {{price}} points/1K tokens",
   "import_confirm": "Confirm upload",

packages/web/i18n/zh-CN/account_team.json

@@ -24,7 +24,7 @@
   "edit_member_tip": "用户名",
   "edit_info": "编辑信息",
   "edit_org_info": "编辑部门信息",
-  "expires": "有效期",
+  "expires": "过期时间",
   "export_members": "导出成员",
   "forbid_hint": "停用后，该邀请链接将失效。 该操作不可撤销，是否确认停用？",
   "forbid_success": "停用成功",
@@ -78,4 +78,4 @@
   "user_team_leave_team": "离开团队",
   "user_team_leave_team_failed": "离开团队失败",
   "waiting": "待接受"
-}
+}

packages/web/i18n/zh-CN/common.json

@@ -41,6 +41,7 @@
   "app.templateMarket.templateTags.Web_search": "联网搜索",
   "app.templateMarket.templateTags.Writing": "文本创作",
   "back": "返回",
+  "can_copy_content_tip": "无法使用浏览器自动复制，请手动复制下面内容",
   "chose_condition": "选择条件",
   "chosen": "已选",
   "classification": "分类",
@@ -132,7 +133,6 @@
   "common.Continue_Adding": "继续添加",
   "common.Copy": "复制",
   "common.Copy Successful": "复制成功",
-  "common.Copy_failed": "复制失败，请手动复制",
   "common.Create Failed": "创建异常",
   "common.Create Success": "创建成功",
   "common.Create Time": "创建时间",
@@ -648,11 +648,11 @@
   "core.dataset.training.Auto mode": "补充索引",
   "core.dataset.training.Auto mode Tip": "通过子索引以及调用模型生成相关问题与摘要，来增加数据块的语义丰富度，更利于检索。需要消耗更多的存储空间和增加 AI 调用次数。",
   "core.dataset.training.Chunk mode": "直接分块",
-  "core.dataset.training.Full": "预计 5 分钟以上",
+  "core.dataset.training.Full": "预计 20 分钟以上",
   "core.dataset.training.Leisure": "空闲",
   "core.dataset.training.QA mode": "问答对提取",
   "core.dataset.training.Vector queue": "索引排队",
-  "core.dataset.training.Waiting": "预计 5 分钟",
+  "core.dataset.training.Waiting": "预计 20 分钟",
   "core.dataset.training.Website Sync": "Web 站点同步",
   "core.dataset.training.tag": "排队情况",
   "core.dataset.website.Base Url": "根地址",

packages/web/i18n/zh-CN/dataset.json

@@ -5,6 +5,7 @@
   "api_url": "接口地址",
   "auto_indexes": "自动生成补充索引",
   "auto_indexes_tips": "通过大模型进行额外索引生成，提高语义丰富度，提高检索的精度。",
+  "auto_training_queue": "增强索引排队",
   "chunk_max_tokens": "分块上限",
   "close_auto_sync": "确认关闭自动同步功能？",
   "collection.Create update time": "创建/更新时间",
@@ -56,6 +57,7 @@
   "ideal_chunk_length_tips": "按结束符号进行分段，并将多个分段组成一个分块，该值决定了分块的预估大小，如果会有上下浮动。",
   "image_auto_parse": "图片自动索引",
   "image_auto_parse_tips": "调用 VLM 自动标注文档里的图片，并生成额外的检索索引",
+  "image_training_queue": "图片处理排队",
   "import.Auto mode Estimated Price Tips": "需调用文本理解模型，需要消耗较多AI 积分：{{price}} 积分/1K tokens",
   "import.Embedding Estimated Price Tips": "仅使用索引模型，消耗少量 AI 积分：{{price}} 积分/1K tokens",
   "import_confirm": "确认上传",

packages/web/i18n/zh-Hant/account_team.json

@@ -21,7 +21,7 @@
   "edit_member_tip": "使用者名稱",
   "edit_info": "編輯訊息",
   "edit_org_info": "編輯部門資訊",
-  "expires": "有效期",
+  "expires": "過期時間",
   "forbid_hint": "停用後，該邀請連結將失效。 該操作不可撤銷，是否確認停用？",
   "forbid_success": "停用成功",
   "forbidden": "停用",
@@ -62,4 +62,4 @@
   "user_team_leave_team": "離開團隊",
   "user_team_leave_team_failed": "離開團隊失敗",
   "waiting": "待接受"
-}
+}

packages/web/i18n/zh-Hant/common.json

@@ -37,6 +37,7 @@
   "add_new_param": "新增參數",
   "app.templateMarket.templateTags.Writing": "文字創作",
   "back": "返回",
+  "can_copy_content_tip": "無法使用瀏覽器自動複製，請手動複製下面內容",
   "chose_condition": "選擇條件",
   "chosen": "已選擇",
   "classification": "分類",
@@ -127,7 +128,6 @@
   "common.Continue_Adding": "繼續新增",
   "common.Copy": "複製",
   "common.Copy Successful": "複製成功",
-  "common.Copy_failed": "複製失敗，請手動複製",
   "common.Create Failed": "建立失敗",
   "common.Create Success": "建立成功",
   "common.Create Time": "建立時間",
@@ -644,11 +644,11 @@
   "core.dataset.training.Auto mode": "補充索引",
   "core.dataset.training.Auto mode Tip": "透過子索引以及呼叫模型產生相關問題與摘要，來增加資料區塊的語意豐富度，更有利於檢索。需要消耗更多的儲存空間並增加 AI 呼叫次數。",
   "core.dataset.training.Chunk mode": "直接分块",
-  "core.dataset.training.Full": "預計超過 5 分鐘",
+  "core.dataset.training.Full": "預計 20 分鐘以上",
   "core.dataset.training.Leisure": "閒置",
   "core.dataset.training.QA mode": "問答對提取",
   "core.dataset.training.Vector queue": "索引排隊中",
-  "core.dataset.training.Waiting": "預計 5 分鐘",
+  "core.dataset.training.Waiting": "預計 20 分鐘",
   "core.dataset.training.Website Sync": "網站同步",
   "core.dataset.training.tag": "排隊狀況",
   "core.dataset.website.Base Url": "根網址",

packages/web/i18n/zh-Hant/dataset.json

@@ -5,6 +5,7 @@
   "api_url": "介面位址",
   "auto_indexes": "自動生成補充索引",
   "auto_indexes_tips": "通過大模型進行額外索引生成，提高語義豐富度，提高檢索的精度。",
+  "auto_training_queue": "增強索引排隊",
   "chunk_max_tokens": "分塊上限",
   "close_auto_sync": "確認關閉自動同步功能？",
   "collection.Create update time": "建立／更新時間",
@@ -56,6 +57,7 @@
   "ideal_chunk_length_tips": "依結束符號進行分段，並將多個分段組成一個分塊，此值決定了分塊的預估大小，可能會有上下浮動。",
   "image_auto_parse": "圖片自動索引",
   "image_auto_parse_tips": "調用 VLM 自動標註文檔裡的圖片，並生成額外的檢索索引",
+  "image_training_queue": "圖片處理排隊",
   "import.Auto mode Estimated Price Tips": "需呼叫文字理解模型，將消耗較多 AI 點數：{{price}} 點數 / 1K tokens",
   "import.Embedding Estimated Price Tips": "僅使用索引模型，消耗少量 AI 點數：{{price}} 點數 / 1K tokens",
   "import_confirm": "確認上傳",

packages/web/package.json

@@ -34,7 +34,8 @@
     "react-hook-form": "7.43.1",
     "react-i18next": "14.1.2",
     "react-photo-view": "^1.2.6",
-    "use-context-selector": "^1.4.4"
+    "use-context-selector": "^1.4.4",
+    "zustand": "^4.3.5"
   },
   "devDependencies": {
     "@types/js-cookie": "^3.0.5",

packages/web/store/useCommonStore.ts

@@ -0,0 +1,25 @@
+import { create, devtools, persist, immer } from '../common/zustand';
+
+type State = {
+  copyContent?: string;
+  setCopyContent: (val?: string) => void;
+};
+
+export const useCommonStore = create<State>()(
+  devtools(
+    persist(
+      immer((set, get) => ({
+        copyContent: undefined,
+        setCopyContent(val) {
+          set((state) => {
+            state.copyContent = val;
+          });
+        }
+      })),
+      {
+        name: 'commonStore',
+        partialize: (state) => ({})
+      }
+    )
+  )
+);