V4.6.9-first commit (#899)

* perf: insert mongo dataset data session

* perf: dataset data index

* remove delay

* rename bill schema

* rename bill record

* perf: bill table

* perf: prompt

* perf: sub plan

* change the usage count

* feat: usage bill

* publish usages

* doc

* 新增团队聊天功能 (#20)

* perf: doc

* feat 添加标签部分

feat 信息团队标签配置

feat 新增团队同步管理

feat team分享页面

feat 完成team分享页面

feat 实现模糊搜索

style 格式化

fix 修复迷糊匹配

style 样式修改

fix 团队标签功能修复

* fix 修复鉴权功能

* merge 合并代码

* fix 修复引用错误

* fix 修复pr问题

* fix 修复ts格式问题

---------

Co-authored-by: archer <545436317@qq.com>
Co-authored-by: liuxingwan <liuxingwan.lxw@alibaba-inc.com>

* update extra plan

* fix: ts

* format

* perf: bill field

* feat: standard plan

* fix: ts

* feat 个人账号页面修改 (#22)

* feat 添加标签部分

feat 信息团队标签配置

feat 新增团队同步管理

feat team分享页面

feat 完成team分享页面

feat 实现模糊搜索

style 格式化

fix 修复迷糊匹配

style 样式修改

fix 团队标签功能修复

* fix 修复鉴权功能

* merge 合并代码

* fix 修复引用错误

* fix 修复pr问题

* fix 修复ts格式问题

* feat 修改个人账号页

---------

Co-authored-by: liuxingwan <liuxingwan.lxw@alibaba-inc.com>

* sub plan page (#23)

* fix chunk index; error page text

* feat: dataset process Integral prediction

* feat: stand plan field

* feat: sub plan limit

* perf: index

* query extension

* perf: share link push app name

* perf: plan point unit

* perf: get sub plan

* perf: account page

* feat 新增套餐详情弹窗代码 (#24)

* merge 合并代码

* fix 新增套餐详情弹框

* fix 修复pr问题

* feat: change http node input to prompt editor (#21)

* feat: change http node input to prompt editor

* fix

* split PromptEditor to HttpInput

* Team plans (#25)

* perf: pay check

* perf: team plan test

* plan limit check

* replace sensitive text

* perf: fix some null

* collection null check

* perf: plans modal

* perf: http module

* pacakge (#26)

* individuation page and pay modal amount (#27)

* feat: individuation page

* team chat config

* pay modal

* plan count and replace invalid chars (#29)

* fix: user oneapi

* fix: training queue

* fix: qa queue

* perf: remove space chars

* replace invalid chars

* change httpinput dropdown menu (#28)

* perf: http

* reseet free plan

* perf: plan code to packages

* remove llm config to package

* perf: code

* perf: faq

* fix: get team plan

---------

Co-authored-by: yst <77910600+yu-and-liu@users.noreply.github.com>
Co-authored-by: liuxingwan <liuxingwan.lxw@alibaba-inc.com>
Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com>

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

@@ -1,13 +1,9 @@
 import { insertData2Dataset } from '@/service/core/dataset/data/controller';
 import { MongoDatasetTraining } from '@fastgpt/service/core/dataset/training/schema';
 import { TrainingModeEnum } from '@fastgpt/global/core/dataset/constants';
-import { sendOneInform } from '../support/user/inform/api';
-import { addLog } from '@fastgpt/service/common/system/log';
-import { getErrText } from '@fastgpt/global/common/error/utils';
-import { authTeamBalance } from '@/service/support/permission/auth/bill';
-import { pushGenerateVectorBill } from '@/service/support/wallet/bill/push';
-import { UserErrEnum } from '@fastgpt/global/common/error/code/user';
-import { lockTrainingDataByTeamId } from '@fastgpt/service/core/dataset/training/controller';
+import { pushGenerateVectorUsage } from '@/service/support/wallet/usage/push';
+import { checkInvalidChunkAndLock, checkTeamAiPointsAndLock } from './utils';
+import { delay } from '@fastgpt/global/common/system/utils';
 
 const reduceQueue = () => {
   global.vectorQueueLen = global.vectorQueueLen > 0 ? global.vectorQueueLen - 1 : 0;
@@ -19,7 +15,6 @@ const reduceQueue = () => {
 export async function generateVector(): Promise<any> {
   if (global.vectorQueueLen >= global.systemEnv.vectorMaxProcess) return;
   global.vectorQueueLen++;
-
   const start = Date.now();
 
   // get training data
@@ -92,24 +87,7 @@ export async function generateVector(): Promise<any> {
   }
 
   // auth balance
-  try {
-    await authTeamBalance(data.teamId);
-  } catch (error: any) {
-    if (error?.statusText === UserErrEnum.balanceNotEnough) {
-      // send inform and lock data
-      try {
-        sendOneInform({
-          type: 'system',
-          title: '文本训练任务中止',
-          content:
-            '该团队账号余额不足，文本训练任务中止，重新充值后将会继续。暂停的任务将在 7 天后被删除。',
-          tmbId: data.tmbId
-        });
-        console.log('余额不足，暂停【向量】生成任务');
-        lockTrainingDataByTeamId(data.teamId);
-      } catch (error) {}
-    }
-
+  if (!(await checkTeamAiPointsAndLock(data.teamId, data.tmbId))) {
     reduceQueue();
     return generateVector();
   }
@@ -124,7 +102,7 @@ export async function generateVector(): Promise<any> {
       return;
     }
 
-    // insert data to pg
+    // insert to dataset
     const { charsLength } = await insertData2Dataset({
       teamId: data.teamId,
       tmbId: data.tmbId,
@@ -137,8 +115,8 @@ export async function generateVector(): Promise<any> {
       model: data.model
     });
 
-    // push bill
-    pushGenerateVectorBill({
+    // push usage
+    pushGenerateVectorUsage({
       teamId: data.teamId,
       tmbId: data.tmbId,
       charsLength,
@@ -154,34 +132,8 @@ export async function generateVector(): Promise<any> {
     console.log(`embedding finished, time: ${Date.now() - start}ms`);
   } catch (err: any) {
     reduceQueue();
-    // log
-    if (err?.response) {
-      addLog.info('openai error: 生成向量错误', {
-        status: err.response?.status,
-        stateusText: err.response?.statusText,
-        data: err.response?.data
-      });
-    } else {
-      console.log(err);
-      addLog.error(getErrText(err, '生成向量错误'));
-    }
 
-    // message error or openai account error
-    if (
-      err?.message === 'invalid message format' ||
-      err.response?.data?.error?.type === 'invalid_request_error' ||
-      err?.code === 500
-    ) {
-      addLog.info('Lock training data');
-      console.log(err?.code);
-      console.log(err.response?.data?.error?.type);
-      console.log(err?.message);
-
-      try {
-        await MongoDatasetTraining.findByIdAndUpdate(data._id, {
-          lockTime: new Date('2998/5/5')
-        });
-      } catch (error) {}
+    if (await checkInvalidChunkAndLock({ err, data, errText: '向量模型调用失败' })) {
       return generateVector();
     }