perf: request quantity;perf: share page error circulation;perf: share chat toast (#3763)

* model config

* feat: normalization embedding

* perf: share page error circulation

* perf: request quantity

* perf: share chat toast

* perf: queue

projects/app/src/service/events/generateQA.ts

@@ -10,7 +10,6 @@ import { Prompt_AgentQA } from '@fastgpt/global/core/ai/prompt/agent';
 import type { PushDatasetDataChunkProps } from '@fastgpt/global/core/dataset/api.d';
 import { getLLMModel } from '@fastgpt/service/core/ai/model';
 import { checkTeamAiPointsAndLock } from './utils';
-import { checkInvalidChunkAndLock } from '@fastgpt/service/core/dataset/training/utils';
 import { addMinutes } from 'date-fns';
 import {
   countGptMessagesTokens,
@@ -168,13 +167,9 @@ ${replaceVariable(Prompt_AgentQA.fixedText, { text })}`;
     reduceQueue();
     generateQA();
   } catch (err: any) {
-    addLog.error(`[QA Queue] Error`);
+    addLog.error(`[QA Queue] Error`, err);
     reduceQueue();
 
-    if (await checkInvalidChunkAndLock({ err, data, errText: 'QA模型调用失败' })) {
-      return generateQA();
-    }
-
     setTimeout(() => {
       generateQA();
     }, 1000);

projects/app/src/service/events/generateVector.ts

@@ -3,7 +3,6 @@ import { MongoDatasetTraining } from '@fastgpt/service/core/dataset/training/sch
 import { TrainingModeEnum } from '@fastgpt/global/core/dataset/constants';
 import { pushGenerateVectorUsage } from '@/service/support/wallet/usage/push';
 import { checkTeamAiPointsAndLock } from './utils';
-import { checkInvalidChunkAndLock } from '@fastgpt/service/core/dataset/training/utils';
 import { addMinutes } from 'date-fns';
 import { addLog } from '@fastgpt/service/common/system/log';
 import { MongoDatasetData } from '@fastgpt/service/core/dataset/data/schema';
@@ -126,10 +125,6 @@ export async function generateVector(): Promise<any> {
     addLog.error(`[Vector Queue] Error`, err);
     reduceQueue();
 
-    if (await checkInvalidChunkAndLock({ err, data, errText: '向量模型调用失败' })) {
-      return generateVector();
-    }
-
     setTimeout(() => {
       generateVector();
     }, 1000);
@@ -193,7 +188,8 @@ const rebuildData = async ({
             billId: trainingData.billId,
             mode: TrainingModeEnum.chunk,
             model: trainingData.model,
-            dataId: newRebuildingData._id
+            dataId: newRebuildingData._id,
+            retryCount: 50
           }
         ],
         { session }

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

@@ -63,8 +63,8 @@ export async function authChatCrud({
         authType: AuthUserTypeEnum.teamDomain
       };
 
-    const chat = await MongoChat.findOne({ appId, chatId, outLinkUid: uid }).lean();
-    if (!chat)
+    const chat = await MongoChat.findOne({ appId, chatId }).lean();
+    if (!chat) {
       return {
         teamId: spaceTeamId,
         tmbId,
@@ -72,6 +72,9 @@ export async function authChatCrud({
         ...defaultResponseShow,
         authType: AuthUserTypeEnum.teamDomain
       };
+    }
+
+    if (chat.outLinkUid !== uid) return Promise.reject(ChatErrEnum.unAuthChat);
 
     return {
       teamId: spaceTeamId,
@@ -104,7 +107,8 @@ export async function authChatCrud({
       };
     }
 
-    const chat = await MongoChat.findOne({ appId, chatId, outLinkUid: uid }).lean();
+    const chat = await MongoChat.findOne({ appId, chatId }).lean();
+
     if (!chat) {
       return {
         teamId: String(outLinkConfig.teamId),
@@ -116,6 +120,7 @@ export async function authChatCrud({
         authType: AuthUserTypeEnum.outLink
       };
     }
+    if (chat.outLinkUid !== uid) return Promise.reject(ChatErrEnum.unAuthChat);
     return {
       teamId: String(outLinkConfig.teamId),
       tmbId: String(outLinkConfig.tmbId),