perf: collection created response

docSite/content/zh-cn/docs/development/openapi/dataset.md

@@ -13,7 +13,7 @@ weight: 853
 
 
 
-## 创建训练订单(4.6.9地址发生改动)
+## 创建训练订单
 
 {{< tabs tabTotal="2" >}}
 {{< tab tabName="请求示例" >}}
@@ -26,6 +26,7 @@ curl --location --request POST 'https://api.fastgpt.in/api/support/wallet/usage/
 --header 'Authorization: Bearer {{apikey}}' \
 --header 'Content-Type: application/json' \
 --data-raw '{
+    "datasetId": "知识库 ID",
     "name": "可选，自定义订单名称，例如：文档训练-fastgpt.docx"
 }'
 ```

docSite/content/zh-cn/docs/development/upgrading/486.md

@@ -38,5 +38,7 @@ curl --location --request POST 'https://{{host}}/api/admin/initv486' \
 3. 新增 - 网页抓取和数学计算器系统插件
 4. 新增 - 移动文本加工和自定义反馈到基础节点中
 5. 优化 - Read file 默认选中从节点，实现 MongoDB 读写分离，减轻主节点压力
-6. 修复 - 工作流中团队插件加载异常
-7. 修复 - 知识库集合目录导航失效
+6. 优化 - 知识库导入接口，返回值对齐
+7. 修复 - 工作流中团队插件加载异常
+8. 修复 - 知识库集合目录导航失效
+9. 修复 - 通过 API 调用 chat 接口，传递 System 异常

packages/global/core/chat/utils.ts

@@ -3,6 +3,17 @@ import { FlowNodeTypeEnum } from '../workflow/node/constant';
 import { ChatItemValueTypeEnum, ChatRoleEnum } from './constants';
 import { ChatHistoryItemResType, ChatItemType, UserChatItemValueItemType } from './type.d';
 
+// Concat 2 -> 1, and sort by role
+export const concatHistories = (histories1: ChatItemType[], histories2: ChatItemType[]) => {
+  const newHistories = [...histories1, ...histories2];
+  return newHistories.sort((a, b) => {
+    if (a.obj === ChatRoleEnum.System) {
+      return -1;
+    }
+    return 1;
+  });
+};
+
 export const getChatTitleFromChatMessage = (message?: ChatItemType, defaultValue = '新对话') => {
   // @ts-ignore
   const textMsg = message?.value.find((item) => item.type === ChatItemValueTypeEnum.text);

packages/plugins/src/fetchUrl/template.json

@@ -88,7 +88,7 @@
           "x": 1050.9890727421412,
           "y": -415.2085119990912
         },
-        "version": "486",
+        "version": "481",
         "inputs": [
           {
             "key": "system_addInputParam",

packages/service/core/chat/controller.ts

@@ -13,24 +13,24 @@ export async function getChatItems({
   chatId?: string;
   limit?: number;
   field: string;
-}): Promise<{ history: ChatItemType[] }> {
+}): Promise<{ histories: ChatItemType[] }> {
   if (!chatId) {
-    return { history: [] };
+    return { histories: [] };
   }
 
-  const history = await MongoChatItem.find({ appId, chatId }, field)
+  const histories = await MongoChatItem.find({ appId, chatId }, field)
     .sort({ _id: -1 })
     .limit(limit)
     .lean();
 
-  history.reverse();
+  histories.reverse();
 
-  history.forEach((item) => {
+  histories.forEach((item) => {
     // @ts-ignore
     item.value = adaptStringValue(item.value);
   });
 
-  return { history };
+  return { histories };
 }
 /* 临时适配旧的对话记录 */
 export const adaptStringValue = (value: any): ChatItemValueItemType[] => {

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

@@ -75,54 +75,9 @@ export async function createOneCollection({
     { session }
   );
 
-  // create default collection
-  if (type === DatasetCollectionTypeEnum.folder) {
-    await createDefaultCollection({
-      datasetId,
-      parentId: collection._id,
-      teamId,
-      tmbId,
-      session
-    });
-  }
-
   return collection;
 }
 
-// create default collection
-export function createDefaultCollection({
-  name = '手动录入',
-  datasetId,
-  parentId,
-  teamId,
-  tmbId,
-  session
-}: {
-  name?: '手动录入' | '手动标注';
-  datasetId: string;
-  parentId?: string;
-  teamId: string;
-  tmbId: string;
-  session?: ClientSession;
-}) {
-  return MongoDatasetCollection.create(
-    [
-      {
-        name,
-        teamId,
-        tmbId,
-        datasetId,
-        parentId,
-        type: DatasetCollectionTypeEnum.virtual,
-        trainingType: TrainingModeEnum.chunk,
-        chunkSize: 0,
-        updateTime: new Date('2099')
-      }
-    ],
-    { session }
-  );
-}
-
 /* delete collection related images/files */
 export const delCollectionRelatedSource = async ({
   collections,

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

@@ -10,6 +10,7 @@ import {
 } from '@fastgpt/global/core/dataset/constants';
 import { hashStr } from '@fastgpt/global/common/string/tools';
 import { ClientSession } from '../../../common/mongo';
+import { PushDatasetDataResponse } from '@fastgpt/global/core/dataset/api';
 
 /**
  * get all collection by top collectionId
@@ -138,7 +139,7 @@ export const reloadCollectionChunks = async ({
   billId?: string;
   rawText?: string;
   session: ClientSession;
-}) => {
+}): Promise<PushDatasetDataResponse> => {
   const {
     title,
     rawText: newRawText,
@@ -149,7 +150,10 @@ export const reloadCollectionChunks = async ({
     newRawText: rawText
   });
 
-  if (isSameRawText) return;
+  if (isSameRawText)
+    return {
+      insertLen: 0
+    };
 
   // split data
   const { chunks } = splitText2Chunks({
@@ -164,7 +168,7 @@ export const reloadCollectionChunks = async ({
     return Promise.reject('Training model error');
   })();
 
-  await MongoDatasetTraining.insertMany(
+  const result = await MongoDatasetTraining.insertMany(
     chunks.map((item, i) => ({
       teamId: col.teamId,
       tmbId,
@@ -191,4 +195,8 @@ export const reloadCollectionChunks = async ({
     },
     { session }
   );
+
+  return {
+    insertLen: result.length
+  };
 };

packages/service/core/workflow/dispatch/utils.ts

@@ -1,12 +1,11 @@
 import { getErrText } from '@fastgpt/global/common/error/utils';
-import { replaceSensitiveText } from '@fastgpt/global/common/string/tools';
+import { ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
 import type { ChatItemType } from '@fastgpt/global/core/chat/type.d';
 import {
   WorkflowIOValueTypeEnum,
   NodeOutputKeyEnum
 } from '@fastgpt/global/core/workflow/constants';
 import { RuntimeEdgeItemType } from '@fastgpt/global/core/workflow/runtime/type';
-import { FlowNodeInputItemType } from '@fastgpt/global/core/workflow/type/io';
 
 export const filterToolNodeIdByEdges = ({
   nodeId,
@@ -45,10 +44,16 @@ export const filterToolNodeIdByEdges = ({
 
 export const getHistories = (history?: ChatItemType[] | number, histories: ChatItemType[] = []) => {
   if (!history) return [];
-  if (typeof history === 'number') return histories.slice(-(history * 2));
-  if (Array.isArray(history)) return history;
 
-  return [];
+  const systemHistories = histories.filter((item) => item.obj === ChatRoleEnum.System);
+
+  const filterHistories = (() => {
+    if (typeof history === 'number') return histories.slice(-(history * 2));
+    if (Array.isArray(history)) return history;
+    return [];
+  })();
+
+  return [...systemHistories, ...filterHistories];
 };
 
 /* value type format */

projects/app/src/components/ChatBox/hooks/useChatBox.tsx

@@ -41,7 +41,6 @@ export const useChatBox = () => {
 
       const map: Record<ExportChatType, () => void> = {
         md: () => {
-          console.log(history);
           fileDownload({
             text: history
               .map((item) => {

projects/app/src/global/core/dataset/api.d.ts

@@ -1,4 +1,7 @@
-import { PushDatasetDataChunkProps } from '@fastgpt/global/core/dataset/api';
+import {
+  PushDatasetDataChunkProps,
+  PushDatasetDataResponse
+} from '@fastgpt/global/core/dataset/api';
 import {
   DatasetSearchModeEnum,
   DatasetSourceReadTypeEnum,
@@ -31,6 +34,10 @@ export type RebuildEmbeddingProps = {
 };
 
 /* ================= collection ===================== */
+export type CreateCollectionResponse = Promise<{
+  collectionId: string;
+  results: PushDatasetDataResponse;
+}>;
 
 /* ================= data ===================== */
 export type InsertOneDatasetDataProps = PushDatasetDataChunkProps & {

projects/app/src/pages/api/core/app/update.ts

@@ -154,10 +154,8 @@ async function handler(req: ApiRequestProps<AppUpdateParams, { appId: string }>)
 
       return onUpdate(session);
     });
-  }
-
-  // Update default permission
-  if (isDefaultPermissionChanged) {
+  } else if (isDefaultPermissionChanged) {
+    // Update default permission
     await mongoSessionRun(async (session) => {
       if (isFolder) {
         // Sync children default permission
@@ -193,6 +191,8 @@ async function handler(req: ApiRequestProps<AppUpdateParams, { appId: string }>)
 
       return onUpdate(session, defaultPermission);
     });
+  } else {
+    return onUpdate();
   }
 }
 

projects/app/src/pages/api/core/chat/init.ts

@@ -42,7 +42,7 @@ async function handler(
   }
 
   // get app and history
-  const [{ history }, { nodes }] = await Promise.all([
+  const [{ histories }, { nodes }] = await Promise.all([
     getChatItems({
       appId,
       chatId,
@@ -60,7 +60,7 @@ async function handler(
     title: chat?.title || '新对话',
     userAvatar: undefined,
     variables: chat?.variables || {},
-    history,
+    history: histories,
     app: {
       chatConfig: getAppChatConfig({
         chatConfig: app.chatConfig,

projects/app/src/pages/api/core/chat/outLink/init.ts

@@ -41,7 +41,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       throw new Error(ChatErrEnum.unAuthChat);
     }
 
-    const [{ history }, { nodes }] = await Promise.all([
+    const [{ histories }, { nodes }] = await Promise.all([
       getChatItems({
         appId: app._id,
         chatId,
@@ -56,7 +56,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     ]);
 
     // pick share response field
-    history.forEach((item) => {
+    histories.forEach((item) => {
       if (item.obj === ChatRoleEnum.AI) {
         item.responseData = filterPublicNodeResponseData({ flowResponses: item.responseData });
       }
@@ -70,7 +70,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
         //@ts-ignore
         userAvatar: tmb?.userId?.avatar,
         variables: chat?.variables || {},
-        history,
+        history: histories,
         app: {
           chatConfig: getAppChatConfig({
             chatConfig: app.chatConfig,

projects/app/src/pages/api/core/chat/team/init.ts

@@ -47,7 +47,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     }
 
     // get app and history
-    const [{ history }, { nodes }] = await Promise.all([
+    const [{ histories }, { nodes }] = await Promise.all([
       getChatItems({
         appId,
         chatId,
@@ -58,7 +58,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     ]);
 
     // pick share response field
-    history.forEach((item) => {
+    histories.forEach((item) => {
       if (item.obj === ChatRoleEnum.AI) {
         item.responseData = filterPublicNodeResponseData({ flowResponses: item.responseData });
       }
@@ -71,7 +71,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
         title: chat?.title || '新对话',
         userAvatar: team?.avatar,
         variables: chat?.variables || {},
-        history,
+        history: histories,
         app: {
           chatConfig: getAppChatConfig({
             chatConfig: app.chatConfig,

projects/app/src/pages/api/core/dataset/collection/create/csvTable.ts

@@ -18,8 +18,9 @@ import { getLLMModel, getVectorModel } from '@fastgpt/service/core/ai/model';
 import { rawText2Chunks } from '@fastgpt/service/core/dataset/read';
 import { WritePermissionVal } from '@fastgpt/global/support/permission/constant';
 import { NextAPI } from '@/service/middleware/entry';
+import { CreateCollectionResponse } from '@/global/core/dataset/api';
 
-async function handler(req: NextApiRequest) {
+async function handler(req: NextApiRequest): CreateCollectionResponse {
   const { datasetId, parentId, fileId } = req.body as FileIdCreateDatasetCollectionParams;
   const trainingType = TrainingModeEnum.chunk;
   const { teamId, tmbId, dataset } = await authDataset({
@@ -50,7 +51,7 @@ async function handler(req: NextApiRequest) {
     insertLen: predictDataLimitLength(trainingType, chunks)
   });
 
-  await mongoSessionRun(async (session) => {
+  return mongoSessionRun(async (session) => {
     // 4. create collection
     const { _id: collectionId } = await createOneCollection({
       teamId,
@@ -80,7 +81,7 @@ async function handler(req: NextApiRequest) {
     });
 
     // 6. insert to training queue
-    await pushDataListToTrainingQueue({
+    const insertResult = await pushDataListToTrainingQueue({
       teamId,
       tmbId,
       datasetId: dataset._id,
@@ -97,7 +98,7 @@ async function handler(req: NextApiRequest) {
       session
     });
 
-    return collectionId;
+    return { collectionId, results: insertResult };
   });
 }
 export default NextAPI(handler);