Add bill of training and rate of file upload (#339)

814c5b3d · Archer · GitHub · e7e06772 · 814c5b3d · 814c5b3d
Commit 814c5b3d authored Sep 21, 2023 by Archer Committed by GitHub Sep 21, 2023
41 changed files
--- a/client/data/config.json
+++ b/client/data/config.json
@@ -65,7 +65,7 @@
  },
  "ExtractModel": {
    "model": "gpt-3.5-turbo-16k",
-    "functionCall": false,
+    "functionCall": true,
    "name": "GPT35-16k",
    "maxToken": 16000,
    "price": 0,
@@ -73,7 +73,7 @@
  },
  "CQModel": {
    "model": "gpt-3.5-turbo-16k",
-    "functionCall": false,
+    "functionCall": true,
    "name": "GPT35-16k",
    "maxToken": 16000,
    "price": 0,

--- a/client/public/locales/en/common.json
+++ b/client/public/locales/en/common.json
@@ -132,7 +132,8 @@
    "Confirm to delete the data": "Confirm to delete the data?",
    "Export": "Export",
    "Queue Desc": "This data refers to the current amount of training for the entire system. FastGPT uses queued training, and if you have too much data to train, you may need to wait for a while",
-    "System Data Queue": "Data Queue"
+    "System Data Queue": "Data Queue",
+    "Training Name": "Dataset Training"
  },
  "file": {
    "Click to download CSV template": "Click to download CSV template",

--- a/client/public/locales/zh/common.json
+++ b/client/public/locales/zh/common.json
@@ -132,7 +132,8 @@
    "Confirm to delete the data": "确认删除该数据？",
    "Export": "导出",
    "Queue Desc": "该数据是指整个系统当前待训练的数量。{{title}} 采用排队训练的方式，如果待训练的数据过多，可能需要等待一段时间",
-    "System Data Queue": "排队长度"
+    "System Data Queue": "排队长度",
+    "Training Name": "数据训练"
  },
  "file": {
    "Click to download CSV template": "点击下载 CSV 模板",

--- a/client/src/api/common/bill/index.d.ts
+++ b/client/src/api/common/bill/index.d.ts
+export type CreateTrainingBillType = {
+  name: string;
+};
--- a/client/src/api/common/bill/index.ts
+++ b/client/src/api/common/bill/index.ts
+import { GET, POST, PUT, DELETE } from '@/api/request';
+import { CreateTrainingBillType } from './index.d';
+export const postCreateTrainingBill = (data: CreateTrainingBillType) =>
+  POST<string>(`/common/bill/createTrainingBill`, data);
--- a/client/src/api/core/dataset/data.d.ts
+++ b/client/src/api/core/dataset/data.d.ts
@@ -7,6 +7,7 @@ export type PushDataProps = {
  data: DatasetItemType[];
  mode: `${TrainingModeEnum}`;
  prompt?: string;
+  billId?: string;
 };
 export type PushDataResponse = {
  insertLen: number;

--- a/client/src/api/core/dataset/file.d.ts
+++ b/client/src/api/core/dataset/file.d.ts
@@ -6,3 +6,5 @@ export type GetFileListProps = RequestPaging & {
 };
 export type UpdateFileProps = { id: string; name?: string; datasetUsed?: boolean };
+export type MarkFileUsedProps = { fileIds: string[] };
--- a/client/src/api/core/dataset/file.ts
+++ b/client/src/api/core/dataset/file.ts
@@ -2,7 +2,7 @@ import { GET, POST, PUT, DELETE } from '@/api/request';
 import type { DatasetFileItemType } from '@/types/core/dataset/file';
 import type { GSFileInfoType } from '@/types/common/file';
-import type { GetFileListProps, UpdateFileProps } from './file.d';
+import type { GetFileListProps, UpdateFileProps, MarkFileUsedProps } from './file.d';
 export const getDatasetFiles = (data: GetFileListProps) =>
  POST<DatasetFileItemType[]>(`/core/dataset/file/list`, data);
@@ -14,3 +14,6 @@ export const delDatasetEmptyFiles = (kbId: string) =>
  DELETE(`/core/dataset/file/delEmptyFiles`, { kbId });
 export const updateDatasetFile = (data: UpdateFileProps) => PUT(`/core/dataset/file/update`, data);
+export const putMarkFilesUsed = (data: MarkFileUsedProps) =>
+  PUT(`/core/dataset/file/markUsed`, data);
--- a/client/src/constants/user.ts
+++ b/client/src/constants/user.ts
@@ -5,7 +5,8 @@ export enum OAuthEnum {
 export enum BillSourceEnum {
  fastgpt = 'fastgpt',
  api = 'api',
-  shareLink = 'shareLink'
+  shareLink = 'shareLink',
+  training = 'training'
 }
 export enum PageTypeEnum {
  login = 'login',
@@ -16,7 +17,8 @@ export enum PageTypeEnum {
 export const BillSourceMap: Record<`${BillSourceEnum}`, string> = {
  [BillSourceEnum.fastgpt]: '在线使用',
  [BillSourceEnum.api]: 'Api',
-  [BillSourceEnum.shareLink]: '免登录链接'
+  [BillSourceEnum.shareLink]: '免登录链接',
+  [BillSourceEnum.training]: '数据训练'
 };
 export enum PromotionEnum {

--- a/client/src/pages/account/components/BillDetail.tsx
+++ b/client/src/pages/account/components/BillDetail.tsx
-import React from 'react';
+import React, { useMemo } from 'react';
 import {
  ModalBody,
  Flex,
@@ -20,6 +20,10 @@ import { useTranslation } from 'react-i18next';
 const BillDetail = ({ bill, onClose }: { bill: UserBillType; onClose: () => void }) => {
  const { t } = useTranslation();
+  const filterBillList = useMemo(
+    () => bill.list.filter((item) => item && item.moduleName),
+    [bill.list]
+  );
  return (
    <MyModal isOpen={true} onClose={onClose} title={t('user.Bill Detail')}>
@@ -34,7 +38,7 @@ const BillDetail = ({ bill, onClose }: { bill: UserBillType; onClose: () => void
        </Flex>
        <Flex alignItems={'center'} pb={4}>
          <Box flex={'0 0 80px'}>应用名:</Box>
-          <Box>{bill.appName}</Box>
+          <Box>{t(bill.appName) || '-'}</Box>
        </Flex>
        <Flex alignItems={'center'} pb={4}>
          <Box flex={'0 0 80px'}>来源:</Box>
@@ -59,7 +63,7 @@ const BillDetail = ({ bill, onClose }: { bill: UserBillType; onClose: () => void
                </Tr>
              </Thead>
              <Tbody>
-                {bill.list.map((item, i) => (
+                {filterBillList.map((item, i) => (
                  <Tr key={i}>
                    <Td>{item.moduleName}</Td>
                    <Td>{item.model}</Td>

--- a/client/src/pages/account/components/BillTable.tsx
+++ b/client/src/pages/account/components/BillTable.tsx
@@ -68,7 +68,7 @@ const BillTable = () => {
              <Tr key={item.id}>
                <Td>{dayjs(item.time).format('YYYY/MM/DD HH:mm:ss')}</Td>
                <Td>{BillSourceMap[item.source]}</Td>
-                <Td>{item.appName || '-'}</Td>
+                <Td>{t(item.appName) || '-'}</Td>
                <Td>{item.total}元</Td>
                <Td>
                  <Button size={'sm'} variant={'base'} onClick={() => setBillDetail(item)}>

--- a/client/src/pages/api/chat/chatTest.ts
+++ b/client/src/pages/api/chat/chatTest.ts
@@ -6,7 +6,7 @@ import { sseResponseEventEnum } from '@/constants/chat';
 import { sseResponse } from '@/service/utils/tools';
 import { AppModuleItemType } from '@/types/app';
 import { dispatchModules } from '../openapi/v1/chat/completions';
-import { pushTaskBill } from '@/service/events/pushBill';
+import { pushTaskBill } from '@/service/common/bill/push';
 import { BillSourceEnum } from '@/constants/user';
 import { ChatItemType } from '@/types/chat';

--- a/client/src/pages/api/common/bill/createTrainingBill.ts
+++ b/client/src/pages/api/common/bill/createTrainingBill.ts
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { connectToDatabase, Bill } from '@/service/mongo';
+import { authUser } from '@/service/utils/auth';
+import { BillSourceEnum } from '@/constants/user';
+import { CreateTrainingBillType } from '@/api/common/bill/index.d';
+export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+  try {
+    const { name } = req.body as CreateTrainingBillType;
+    const { userId } = await authUser({ req, authToken: true });
+    await connectToDatabase();
+    const { _id } = await Bill.create({
+      userId,
+      appName: name,
+      source: BillSourceEnum.training,
+      list: [
+        {
+          moduleName: '索引生成',
+          model: 'embedding',
+          amount: 0,
+          tokenLen: 0
+        },
+        {
+          moduleName: 'QA 拆分',
+          model: global.qaModel.name,
+          amount: 0,
+          tokenLen: 0
+        }
+      ],
+      total: 0
+    });
+    jsonRes<string>(res, {
+      data: _id
+    });
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}
--- a/client/src/pages/api/core/dataset/data/insertData.ts
+++ b/client/src/pages/api/core/dataset/data/insertData.ts
@@ -11,6 +11,7 @@ import { DatasetDataItemType } from '@/types/core/dataset/data';
 import { countPromptTokens } from '@/utils/common/tiktoken';
 export type Props = {
+  billId?: string;
  kbId: string;
  data: DatasetDataItemType;
 };
@@ -19,63 +20,14 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
  try {
    await connectToDatabase();
-    const { kbId, data = { q: '', a: '' } } = req.body as Props;
-    if (!kbId || !data?.q) {
-      throw new Error('缺少参数');
-    }
    // 凭证校验
    const { userId } = await authUser({ req });
-    // auth kb
-    const kb = await authKb({ kbId, userId });
-    const q = data?.q?.replace(/\\n/g, '\n').trim().replace(/'/g, '"');
-    const a = data?.a?.replace(/\\n/g, '\n').trim().replace(/'/g, '"');
-    // token check
-    const token = countPromptTokens(q, 'system');
-    if (token > getVectorModel(kb.vectorModel).maxToken) {
-      throw new Error('Over Tokens');
-    }
-    const { rows: existsRows } = await PgClient.query(`
-    SELECT COUNT(*) > 0 AS exists
-    FROM  ${PgDatasetTableName} 
-    WHERE md5(q)=md5('${q}') AND md5(a)=md5('${a}') AND user_id='${userId}' AND kb_id='${kbId}'
-  `);
-    const exists = existsRows[0]?.exists || false;
-    if (exists) {
-      throw new Error('已经存在完全一致的数据');
-    }
-    const { vectors } = await getVector({
-      model: kb.vectorModel,
-      input: [q],
-      userId
-    });
-    const response = await insertData2Dataset({
-      userId,
-      kbId,
-      data: [
-        {
-          q,
-          a,
-          source: data.source,
-          vector: vectors[0]
-        }
-      ]
-    });
-    // @ts-ignore
-    const id = response?.rows?.[0]?.id || '';
    jsonRes(res, {
-      data: id
+      data: await getVectorAndInsertDataset({
+        ...req.body,
+        userId
+      })
    });
  } catch (err) {
    jsonRes(res, {
@@ -84,3 +36,59 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
    });
  }
 });
+export async function getVectorAndInsertDataset(
+  props: Props & { userId: string }
+): Promise<string> {
+  const { kbId, data, userId, billId } = props;
+  if (!kbId || !data?.q) {
+    return Promise.reject('缺少参数');
+  }
+  // auth kb
+  const kb = await authKb({ kbId, userId });
+  const q = data?.q?.replace(/\\n/g, '\n').trim().replace(/'/g, '"');
+  const a = data?.a?.replace(/\\n/g, '\n').trim().replace(/'/g, '"');
+  // token check
+  const token = countPromptTokens(q, 'system');
+  if (token > getVectorModel(kb.vectorModel).maxToken) {
+    return Promise.reject('Over Tokens');
+  }
+  const { rows: existsRows } = await PgClient.query(`
+  SELECT COUNT(*) > 0 AS exists
+  FROM  ${PgDatasetTableName} 
+  WHERE md5(q)=md5('${q}') AND md5(a)=md5('${a}') AND user_id='${userId}' AND kb_id='${kbId}'
+`);
+  const exists = existsRows[0]?.exists || false;
+  if (exists) {
+    return Promise.reject('已经存在完全一致的数据');
+  }
+  const { vectors } = await getVector({
+    model: kb.vectorModel,
+    input: [q],
+    userId,
+    billId
+  });
+  const response = await insertData2Dataset({
+    userId,
+    kbId,
+    data: [
+      {
+        ...data,
+        q,
+        a,
+        vector: vectors[0]
+      }
+    ]
+  });
+  // @ts-ignore
+  return response?.rows?.[0]?.id || '';
+}
--- a/client/src/pages/api/core/dataset/data/pushData.ts
+++ b/client/src/pages/api/core/dataset/data/pushData.ts
@@ -19,7 +19,7 @@ const modeMap = {
 export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
-    const { kbId, data, mode = TrainingModeEnum.index, prompt } = req.body as PushDataProps;
+    const { kbId, data, mode = TrainingModeEnum.index } = req.body as PushDataProps;
    if (!kbId || !Array.isArray(data)) {
      throw new Error('KbId or data is empty');
@@ -40,11 +40,8 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
    jsonRes<PushDataResponse>(res, {
      data: await pushDataToKb({
-        kbId,
+        ...req.body,
-        data,
+        userId
-        userId,
-        mode,
-        prompt
      })
    });
  } catch (err) {
@@ -60,7 +57,8 @@ export async function pushDataToKb({
  kbId,
  data,
  mode,
-  prompt
+  prompt,
+  billId
 }: { userId: string } & PushDataProps): Promise<PushDataResponse> {
  const [kb, vectorModel] = await Promise.all([
    authKb({
@@ -150,6 +148,7 @@ export async function pushDataToKb({
      kbId,
      mode,
      prompt,
+      billId,
      vectorModel: vectorModel.model
    }))
  );
@@ -163,6 +162,9 @@ export async function pushDataToKb({
 export const config = {
  api: {
+    bodyParser: {
+      sizeLimit: '10mb'
+    },
    responseLimit: '12mb'
  }
 };
--- a/client/src/pages/api/core/dataset/delete.ts
+++ b/client/src/pages/api/core/dataset/delete.ts
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
-import { connectToDatabase, KB, App, TrainingData } from '@/service/mongo';
+import { connectToDatabase, KB, TrainingData } from '@/service/mongo';
 import { authUser } from '@/service/utils/auth';
 import { PgClient } from '@/service/pg';
 import { PgDatasetTableName } from '@/constants/plugin';
 import { GridFSStorage } from '@/service/lib/gridfs';
+import { Types } from 'mongoose';
 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
@@ -25,7 +26,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
    // delete training data
    await TrainingData.deleteMany({
      userId,
-      kbId: { $in: deletedIds }
+      kbId: { $in: deletedIds.map((id) => new Types.ObjectId(id)) }
    });
    // delete all pg data

--- a/client/src/pages/api/core/dataset/file/markUsed.ts
+++ b/client/src/pages/api/core/dataset/file/markUsed.ts
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { connectToDatabase } from '@/service/mongo';
+import { authUser } from '@/service/utils/auth';
+import { GridFSStorage } from '@/service/lib/gridfs';
+import { MarkFileUsedProps } from '@/api/core/dataset/file.d';
+import { Types } from 'mongoose';
+export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
+  try {
+    await connectToDatabase();
+    const { fileIds } = req.body as MarkFileUsedProps;
+    const { userId } = await authUser({ req, authToken: true });
+    const gridFs = new GridFSStorage('dataset', userId);
+    const collection = gridFs.Collection();
+    await collection.updateMany(
+      {
+        _id: { $in: fileIds.map((id) => new Types.ObjectId(id)) },
+        ['metadata.userId']: userId
+      },
+      {
+        $set: {
+          ['metadata.datasetUsed']: true
+        }
+      }
+    );
+    jsonRes(res, {});
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}
--- a/client/src/pages/api/openapi/plugin/vector.ts
+++ b/client/src/pages/api/openapi/plugin/vector.ts
@@ -3,11 +3,12 @@ import { jsonRes } from '@/service/response';
 import { authBalanceByUid, authUser } from '@/service/utils/auth';
 import { withNextCors } from '@/service/utils/tools';
 import { getAIChatApi, axiosConfig } from '@/service/lib/openai';
-import { pushGenerateVectorBill } from '@/service/events/pushBill';
+import { pushGenerateVectorBill } from '@/service/common/bill/push';
 type Props = {
  model: string;
  input: string[];
+  billId?: string;
 };
 type Response = {
  tokenLen: number;
@@ -38,7 +39,8 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
 export async function getVector({
  model = 'text-embedding-ada-002',
  userId,
-  input
+  input,
+  billId
 }: { userId?: string } & Props) {
  userId && (await authBalanceByUid(userId));
@@ -82,7 +84,8 @@ export async function getVector({
    pushGenerateVectorBill({
      userId,
      tokenLen: result.tokenLen,
-      model
+      model,
+      billId
    });
  return result;

--- a/client/src/pages/api/openapi/v1/chat/completions.ts
+++ b/client/src/pages/api/openapi/v1/chat/completions.ts
@@ -23,7 +23,7 @@ import { type ChatCompletionRequestMessage } from 'openai';
 import { TaskResponseKeyEnum } from '@/constants/chat';
 import { FlowModuleTypeEnum, initModuleType } from '@/constants/flow';
 import { AppModuleItemType, RunningModuleItemType } from '@/types/app';
-import { pushTaskBill } from '@/service/events/pushBill';
+import { pushTaskBill } from '@/service/common/bill/push';
 import { BillSourceEnum } from '@/constants/user';
 import { ChatHistoryItemResType } from '@/types/chat';
 import { UserModelSchema } from '@/types/mongoSchema';

--- a/client/src/pages/api/support/file/read.ts
+++ b/client/src/pages/api/support/file/read.ts
@@ -38,3 +38,8 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
    });
  }
 }
+export const config = {
+  api: {
+    responseLimit: '32mb'
+  }
+};
--- a/client/src/pages/api/system/getInitData.ts
+++ b/client/src/pages/api/system/getInitData.ts
@@ -84,7 +84,7 @@ const defaultQAModel = {
  maxToken: 16000,
  price: 0
 };
-const defaultExtractModel: FunctionModelItemType = {
+export const defaultExtractModel: FunctionModelItemType = {
  model: 'gpt-3.5-turbo-16k',
  name: 'GPT35-16k',
  maxToken: 16000,
@@ -92,7 +92,7 @@ const defaultExtractModel: FunctionModelItemType = {
  prompt: '',
  functionCall: true
 };
-const defaultCQModel: FunctionModelItemType = {
+export const defaultCQModel: FunctionModelItemType = {
  model: 'gpt-3.5-turbo-16k',
  name: 'GPT35-16k',
  maxToken: 16000,

--- a/client/src/pages/kb/detail/components/Import/Chunk.tsx
+++ b/client/src/pages/kb/detail/components/Import/Chunk.tsx
@@ -26,7 +26,7 @@ import { QuestionOutlineIcon } from '@chakra-ui/icons';
 import { TrainingModeEnum } from '@/constants/plugin';
 import FileSelect, { type FileItemType } from './FileSelect';
 import { useDatasetStore } from '@/store/dataset';
-import { updateDatasetFile } from '@/api/core/dataset/file';
+import { putMarkFilesUsed } from '@/api/core/dataset/file';
 import { chunksUpload } from '@/utils/web/core/dataset';
 const fileExtension = '.txt, .doc, .docx, .pdf, .md';
@@ -66,14 +66,7 @@ const ChunkImport = ({ kbId }: { kbId: string }) => {
      const chunks = files.map((file) => file.chunks).flat();
      // mark the file is used
-      await Promise.all(
+      await putMarkFilesUsed({ fileIds: files.map((file) => file.id) });
-        files.map((file) =>
-          updateDatasetFile({
-            id: file.id,
-            datasetUsed: true
-          })
-        )
-      );
      // upload data
      const { insertLen } = await chunksUpload({

--- a/client/src/pages/kb/detail/components/Import/Csv.tsx
+++ b/client/src/pages/kb/detail/components/Import/Csv.tsx
@@ -10,7 +10,7 @@ import { TrainingModeEnum } from '@/constants/plugin';
 import FileSelect, { type FileItemType } from './FileSelect';
 import { useRouter } from 'next/router';
 import { useDatasetStore } from '@/store/dataset';
-import { updateDatasetFile } from '@/api/core/dataset/file';
+import { putMarkFilesUsed } from '@/api/core/dataset/file';
 import { chunksUpload } from '@/utils/web/core/dataset';
 const fileExtension = '.csv';
@@ -39,14 +39,7 @@ const CsvImport = ({ kbId }: { kbId: string }) => {
  const { mutate: onclickUpload, isLoading: uploading } = useMutation({
    mutationFn: async () => {
      // mark the file is used
-      await Promise.all(
+      await putMarkFilesUsed({ fileIds: files.map((file) => file.id) });
-        files.map((file) =>
-          updateDatasetFile({
-            id: file.id,
-            datasetUsed: true
-          })
-        )
-      );
      const chunks = files
        .map((file) => file.chunks)

--- a/client/src/pages/kb/detail/components/Import/FileSelect.tsx
+++ b/client/src/pages/kb/detail/components/Import/FileSelect.tsx
@@ -183,7 +183,7 @@ const FileSelect = ({
      }
      setSelectingText(undefined);
    },
-    [chunkLen, onPushFiles, t, toast]
+    [chunkLen, kbDetail._id, onPushFiles, t, toast]
  );
  const onUrlFetch = useCallback(
    (e: FetchResultItem[]) => {

--- a/client/src/pages/kb/detail/components/Import/QA.tsx
+++ b/client/src/pages/kb/detail/components/Import/QA.tsx
@@ -15,7 +15,7 @@ import { QuestionOutlineIcon, InfoOutlineIcon } from '@chakra-ui/icons';
 import { TrainingModeEnum } from '@/constants/plugin';
 import FileSelect, { type FileItemType } from './FileSelect';
 import { useRouter } from 'next/router';
-import { updateDatasetFile } from '@/api/core/dataset/file';
+import { putMarkFilesUsed } from '@/api/core/dataset/file';
 import { Prompt_AgentQA } from '@/prompts/core/agent';
 import { replaceVariable } from '@/utils/common/tools/text';
 import { chunksUpload } from '@/utils/web/core/dataset';
@@ -65,14 +65,7 @@ const QAImport = ({ kbId }: { kbId: string }) => {
      const chunks = files.map((file) => file.chunks).flat();
      // mark the file is used
-      await Promise.all(
+      await putMarkFilesUsed({ fileIds: files.map((file) => file.id) });
-        files.map((file) =>
-          updateDatasetFile({
-            id: file.id,
-            datasetUsed: true
-          })
-        )
-      );
      // upload data
      const { insertLen } = await chunksUpload({
@@ -80,6 +73,7 @@ const QAImport = ({ kbId }: { kbId: string }) => {
        chunks,
        mode: TrainingModeEnum.qa,
        prompt: previewQAPrompt,
+        rate: 10,
        onUploading: (insertLen) => {
          setSuccessChunks(insertLen);
        }

--- a/client/src/service/events/pushBill.ts
+++ b/client/src/service/events/pushBill.ts
-import { connectToDatabase, Bill, User, OutLink } from '../mongo';
+import { Bill, User, OutLink } from '@/service/mongo';
 import { BillSourceEnum } from '@/constants/user';
-import { getModel } from '../utils/data';
+import { getModel } from '@/service/utils/data';
 import { ChatHistoryItemResType } from '@/types/chat';
 import { formatPrice } from '@/utils/user';
-import { addLog } from '../utils/tools';
+import { addLog } from '@/service/utils/tools';
+import type { BillListItemType, CreateBillType } from '@/types/common/bill';
+async function createBill(data: CreateBillType) {
+  try {
+    await Promise.all([
+      User.findByIdAndUpdate(data.userId, {
+        $inc: { balance: -data.total }
+      }),
+      Bill.create(data)
+    ]);
+  } catch (error) {
+    addLog.error(`createBill error`, error);
+  }
+}
+async function concatBill({
+  billId,
+  total,
+  listIndex,
+  tokens = 0,
+  userId
+}: {
+  billId?: string;
+  total: number;
+  listIndex?: number;
+  tokens?: number;
+  userId: string;
+}) {
+  if (!billId) return;
+  try {
+    await Promise.all([
+      Bill.findOneAndUpdate(
+        {
+          _id: billId,
+          userId
+        },
+        {
+          $inc: {
+            total,
+            ...(listIndex !== undefined && {
+              [`list.${listIndex}.amount`]: total,
+              [`list.${listIndex}.tokenLen`]: tokens
+            })
+          }
+        }
+      ),
+      User.findByIdAndUpdate(userId, {
+        $inc: { balance: -total }
+      })
+    ]);
+  } catch (error) {}
+}
 export const pushTaskBill = async ({
  appName,
@@ -24,7 +75,7 @@ export const pushTaskBill = async ({
    const total = response.reduce((sum, item) => sum + item.price, 0);
    await Promise.allSettled([
-      Bill.create({
+      createBill({
        userId,
        appName,
        appId,
@@ -37,9 +88,6 @@ export const pushTaskBill = async ({
          tokenLen: item.tokens
        }))
      }),
-      User.findByIdAndUpdate(userId, {
-        $inc: { balance: -total }
-      }),
      ...(shareId
        ? [
            updateShareChatBill({
@@ -83,71 +131,66 @@ export const updateShareChatBill = async ({
 export const pushQABill = async ({
  userId,
  totalTokens,
-  appName
+  billId
 }: {
  userId: string;
  totalTokens: number;
-  appName: string;
+  billId: string;
 }) => {
  addLog.info('splitData generate success', { totalTokens });
-  let billId;
  try {
-    await connectToDatabase();
    // 获取模型单价格, 都是用 gpt35 拆分
    const unitPrice = global.qaModel.price || 3;
    // 计算价格
    const total = unitPrice * totalTokens;
-    // 插入 Bill 记录
+    concatBill({
-    const res = await Bill.create({
+      billId,
      userId,
-      appName,
+      total,
-      tokenLen: totalTokens,
+      tokens: totalTokens,
-      total
+      listIndex: 1
-    });
-    billId = res._id;
-    // 账号扣费
-    await User.findByIdAndUpdate(userId, {
-      $inc: { balance: -total }
    });
  } catch (err) {
    addLog.error('Create completions bill error', err);
-    billId && Bill.findByIdAndDelete(billId);
  }
 };
 export const pushGenerateVectorBill = async ({
+  billId,
  userId,
  tokenLen,
  model
 }: {
+  billId?: string;
  userId: string;
  tokenLen: number;
  model: string;
 }) => {
-  let billId;
  try {
-    await connectToDatabase();
+    // 计算价格. 至少为1
+    const vectorModel =
+      global.vectorModels.find((item) => item.model === model) || global.vectorModels[0];
+    const unitPrice = vectorModel.price || 0.2;
+    let total = unitPrice * tokenLen;
+    total = total > 1 ? total : 1;
-    try {
+    // 插入 Bill 记录
-      // 计算价格. 至少为1
+    if (billId) {
-      const vectorModel =
+      concatBill({
-        global.vectorModels.find((item) => item.model === model) || global.vectorModels[0];
+        userId,
-      const unitPrice = vectorModel.price || 0.2;
+        total,
-      let total = unitPrice * tokenLen;
+        billId,
-      total = total > 1 ? total : 1;
+        tokens: tokenLen,
+        listIndex: 0
-      // 插入 Bill 记录
+      });
-      const res = await Bill.create({
+    } else {
+      createBill({
        userId,
-        model: vectorModel.model,
        appName: '索引生成',
        total,
+        source: BillSourceEnum.fastgpt,
        list: [
          {
            moduleName: '索引生成',
@@ -157,18 +200,9 @@ export const pushGenerateVectorBill = async ({
          }
        ]
      });
-      billId = res._id;
-      // 账号扣费
-      await User.findByIdAndUpdate(userId, {
-        $inc: { balance: -total }
-      });
-    } catch (err) {
-      addLog.error('Create generateVector bill error', err);
-      billId && Bill.findByIdAndDelete(billId);
    }
-  } catch (error) {
+  } catch (err) {
-    console.log(error);
+    addLog.error('Create generateVector bill error', err);
  }
 };

--- a/client/src/service/models/bill.ts
+++ b/client/src/service/models/bill.ts
 import { Schema, model, models, Model } from 'mongoose';
-import { BillSchema as BillType } from '@/types/mongoSchema';
+import { BillSchema as BillType } from '@/types/common/bill';
-import { BillSourceEnum, BillSourceMap } from '@/constants/user';
+import { BillSourceMap } from '@/constants/user';
 const BillSchema = new Schema({
  userId: {
@@ -28,7 +28,7 @@ const BillSchema = new Schema({
  source: {
    type: String,
    enum: Object.keys(BillSourceMap),
-    default: BillSourceEnum.fastgpt
+    required: true
  },
  list: {
    type: Array,

--- a/client/src/service/events/generateQA.ts
+++ b/client/src/service/events/generateQA.ts
 import { TrainingData } from '@/service/mongo';
-import { pushQABill } from '@/service/events/pushBill';
+import { pushQABill } from '@/service/common/bill/push';
-import { pushDataToKb } from '@/pages/api/core/dataset/data/pushData';
 import { TrainingModeEnum } from '@/constants/plugin';
 import { ERROR_ENUM } from '../errorCode';
 import { sendInform } from '@/pages/api/user/inform/send';
 import { authBalanceByUid } from '../utils/auth';
 import { axiosConfig, getAIChatApi } from '../lib/openai';
 import { ChatCompletionRequestMessage } from 'openai';
-import { gptMessage2ChatType } from '@/utils/adapt';
 import { addLog } from '../utils/tools';
 import { splitText2Chunks } from '@/utils/file';
-import { countMessagesTokens } from '@/utils/common/tiktoken';
 import { replaceVariable } from '@/utils/common/tools/text';
 import { Prompt_AgentQA } from '@/prompts/core/agent';
+import { pushDataToKb } from '@/pages/api/core/dataset/data/pushData';
 const reduceQueue = () => {
  global.qaQueueLen = global.qaQueueLen > 0 ? global.qaQueueLen - 1 : 0;
@@ -41,7 +39,8 @@ export async function generateQA(): Promise<any> {
      prompt: 1,
      q: 1,
      source: 1,
-      file_id: 1
+      file_id: 1,
+      billId: 1
    });
    // task preemption
@@ -61,89 +60,67 @@ export async function generateQA(): Promise<any> {
    const chatAPI = getAIChatApi();
-    // 请求 chatgpt 获取回答
+    // request LLM to get QA
-    const response = await Promise.all(
+    const text = data.q;
-      [data.q].map((text) => {
+    const messages: ChatCompletionRequestMessage[] = [
-        const messages: ChatCompletionRequestMessage[] = [
+      {
-          {
+        role: 'user',
-            role: 'user',
+        content: data.prompt
-            content: data.prompt
+          ? replaceVariable(data.prompt, { text })
-              ? replaceVariable(data.prompt, { text })
+          : replaceVariable(Prompt_AgentQA.prompt, {
-              : replaceVariable(Prompt_AgentQA.prompt, {
+              theme: Prompt_AgentQA.defaultTheme,
-                  theme: Prompt_AgentQA.defaultTheme,
+              text
-                  text
+            })
-                })
+      }
-          }
+    ];
-        ];
-        const modelTokenLimit = global.qaModel.maxToken || 16000;
+    const { data: chatResponse } = await chatAPI.createChatCompletion(
-        const promptsToken = countMessagesTokens({
+      {
-          messages: gptMessage2ChatType(messages)
+        model: global.qaModel.model,
-        });
+        temperature: 0.01,
-        const maxToken = modelTokenLimit - promptsToken;
+        messages,
+        stream: false
-        return chatAPI
+      },
-          .createChatCompletion(
+      {
-            {
+        timeout: 480000,
-              model: global.qaModel.model,
+        ...axiosConfig()
-              temperature: 0.01,
+      }
-              messages,
-              stream: false,
-              max_tokens: maxToken
-            },
-            {
-              timeout: 480000,
-              ...axiosConfig()
-            }
-          )
-          .then((res) => {
-            const answer = res.data.choices?.[0].message?.content;
-            const totalTokens = res.data.usage?.total_tokens || 0;
-            const result = formatSplitText(answer || ''); // 格式化后的QA对
-            console.log(`split result length: `, result.length);
-            // 计费
-            if (result.length > 0) {
-              pushQABill({
-                userId: data.userId,
-                totalTokens,
-                appName: 'QA 拆分'
-              });
-            } else {
-              addLog.info(`QA result 0:`, { answer });
-            }
-            return {
-              rawContent: answer,
-              result
-            };
-          })
-          .catch((err) => {
-            console.log('QA拆分错误');
-            console.log(err.response?.status, err.response?.statusText, err.response?.data);
-            return Promise.reject(err);
-          });
-      })
    );
+    const answer = chatResponse.choices?.[0].message?.content;
+    const totalTokens = chatResponse.usage?.total_tokens || 0;
-    const responseList = response.map((item) => item.result).flat();
+    const qaArr = formatSplitText(answer || ''); // 格式化后的QA对
-    // 创建 向量生成 队列
+    // get vector and insert
    await pushDataToKb({
      kbId,
-      data: responseList.map((item) => ({
+      data: qaArr.map((item) => ({
        ...item,
        source: data.source,
        file_id: data.file_id
      })),
      userId,
-      mode: TrainingModeEnum.index
+      mode: TrainingModeEnum.index,
+      billId: data.billId
    });
    // delete data from training
    await TrainingData.findByIdAndDelete(data._id);
+    console.log(`split result length: `, qaArr.length);
    console.log('生成QA成功，time:', `${(Date.now() - startTime) / 1000}s`);
+    // 计费
+    if (qaArr.length > 0) {
+      pushQABill({
+        userId: data.userId,
+        totalTokens,
+        billId: data.billId
+      });
+    } else {
+      addLog.info(`QA result 0:`, { answer });
+    }
    reduceQueue();
    generateQA();
  } catch (err: any) {

--- a/client/src/service/events/generateVector.ts
+++ b/client/src/service/events/generateVector.ts
@@ -39,7 +39,8 @@ export async function generateVector(): Promise<any> {
      a: 1,
      source: 1,
      file_id: 1,
-      vectorModel: 1
+      vectorModel: 1,
+      billId: 1
    });
    // task preemption
@@ -64,7 +65,8 @@ export async function generateVector(): Promise<any> {
    const { vectors } = await getVector({
      model: data.vectorModel,
      input: dataItems.map((item) => item.q),
-      userId
+      userId,
+      billId: data.billId
    });
    // 生成结果插入到 pg

--- a/client/src/service/models/trainingData.ts
+++ b/client/src/service/models/trainingData.ts
@@ -53,6 +53,10 @@ const TrainingDataSchema = new Schema({
  file_id: {
    type: String,
    default: ''
+  },
+  billId: {
+    type: String,
+    default: ''
  }
 });

--- a/client/src/service/moduleDispatch/agent/classifyQuestion.ts
+++ b/client/src/service/moduleDispatch/agent/classifyQuestion.ts
@@ -10,6 +10,7 @@ import { FlowModuleTypeEnum } from '@/constants/flow';
 import { ModuleDispatchProps } from '@/types/core/modules';
 import { replaceVariable } from '@/utils/common/tools/text';
 import { Prompt_CQJson } from '@/prompts/core/agent';
+import { defaultCQModel } from '@/pages/api/system/getInitData';
 type Props = ModuleDispatchProps<{
  systemPrompt?: string;
@@ -36,7 +37,7 @@ export const dispatchClassifyQuestion = async (props: Props): Promise<CQResponse
    return Promise.reject('Input is empty');
  }
-  const cqModel = global.cqModel;
+  const cqModel = global.cqModel || defaultCQModel;
  const { arg, tokens } = await (async () => {
    if (cqModel.functionCall) {
@@ -156,7 +157,7 @@ Human:${userChatInput}`
    },
    {
      timeout: 480000,
-      ...axiosConfig()
+      ...axiosConfig(userOpenaiAccount)
    }
  );
  const answer = data.choices?.[0].message?.content || '';

--- a/client/src/service/moduleDispatch/agent/extract.ts
+++ b/client/src/service/moduleDispatch/agent/extract.ts
@@ -9,6 +9,7 @@ import { FlowModuleTypeEnum } from '@/constants/flow';
 import { ModuleDispatchProps } from '@/types/core/modules';
 import { Prompt_ExtractJson } from '@/prompts/core/agent';
 import { replaceVariable } from '@/utils/common/tools/text';
+import { defaultExtractModel } from '@/pages/api/system/getInitData';
 type Props = ModuleDispatchProps<{
  history?: ChatItemType[];
@@ -36,7 +37,7 @@ export async function dispatchContentExtract(props: Props): Promise<Response> {
    return Promise.reject('Input is empty');
  }
-  const extractModel = global.extractModel;
+  const extractModel = global.extractModel || defaultExtractModel;
  const { arg, tokens } = await (async () => {
    if (extractModel.functionCall) {
@@ -191,7 +192,7 @@ Human: ${content}`
    },
    {
      timeout: 480000,
-      ...axiosConfig()
+      ...axiosConfig(userOpenaiAccount)
    }
  );
  const answer = data.choices?.[0].message?.content || '';

--- a/client/src/service/moduleDispatch/chat/oneapi.ts
+++ b/client/src/service/moduleDispatch/chat/oneapi.ts
@@ -8,7 +8,7 @@ import { textAdaptGptResponse } from '@/utils/adapt';
 import { getAIChatApi, axiosConfig } from '@/service/lib/openai';
 import { TaskResponseKeyEnum } from '@/constants/chat';
 import { getChatModel } from '@/service/utils/data';
-import { countModelPrice } from '@/service/events/pushBill';
+import { countModelPrice } from '@/service/common/bill/push';
 import { ChatModelItemType } from '@/types/model';
 import { textCensor } from '@/api/service/plugins';
 import { ChatCompletionRequestMessageRoleEnum } from 'openai';

--- a/client/src/service/moduleDispatch/kb/search.ts
+++ b/client/src/service/moduleDispatch/kb/search.ts
@@ -2,7 +2,7 @@ import { PgClient } from '@/service/pg';
 import type { ChatHistoryItemResType } from '@/types/chat';
 import { TaskResponseKeyEnum } from '@/constants/chat';
 import { getVector } from '@/pages/api/openapi/plugin/vector';
-import { countModelPrice } from '@/service/events/pushBill';
+import { countModelPrice } from '@/service/common/bill/push';
 import type { SelectedDatasetType } from '@/types/core/dataset';
 import type { QuoteItemType } from '@/types/chat';
 import { PgDatasetTableName } from '@/constants/plugin';

--- a/client/src/service/mongo.ts
+++ b/client/src/service/mongo.ts
@@ -130,7 +130,7 @@ export * from './models/chat';
 export * from './models/chatItem';
 export * from './models/app';
 export * from './models/user';
-export * from './models/bill';
+export * from './common/bill/schema';
 export * from './models/pay';
 export * from './models/trainingData';
 export * from './models/openapi';

--- a/client/src/service/pg.ts
+++ b/client/src/service/pg.ts
@@ -178,7 +178,7 @@ export const insertData2Dataset = ({
    values: data.map((item) => [
      { key: 'user_id', value: userId },
      { key: 'kb_id', value: kbId },
-      { key: 'source', value: item.source?.slice(0, 30)?.trim() || '' },
+      { key: 'source', value: item.source?.slice(0, 60)?.trim() || '' },
      { key: 'file_id', value: item.file_id || '' },
      { key: 'q', value: item.q.replace(/'/g, '"') },
      { key: 'a', value: item.a.replace(/'/g, '"') },

--- a/client/src/types/common/bill.d.ts
+++ b/client/src/types/common/bill.d.ts
+import { BillSourceEnum } from '@/constants/user';
+import type { BillListItemType } from '@/types/common/bill';
+export type BillListItemType = {
+  moduleName: string;
+  amount: number;
+  model?: string;
+  tokenLen?: number;
+};
+export type CreateBillType = {
+  userId: string;
+  appName: string;
+  appId?: string;
+  total: number;
+  source: `${BillSourceEnum}`;
+  list: BillListItemType[];
+};
+export type BillSchema = CreateBillType & {
+  _id: string;
+  time: Date;
+};
--- a/client/src/types/mongoSchema.d.ts
+++ b/client/src/types/mongoSchema.d.ts
 import type { ChatItemType } from './chat';
 import { ModelNameEnum, ChatModelType, EmbeddingModelType } from '@/constants/model';
 import type { DataType } from './data';
-import { BillSourceEnum, InformTypeEnum } from '@/constants/user';
+import { InformTypeEnum } from '@/constants/user';
 import { TrainingModeEnum } from '@/constants/plugin';
 import type { AppModuleItemType } from './app';
 import { ChatSourceEnum } from '@/constants/chat';
@@ -70,6 +70,7 @@ export interface TrainingDataSchema {
  a: string;
  source: string;
  file_id: string;
+  billId: string;
 }
 export interface ChatSchema {
@@ -102,23 +103,6 @@ export interface ChatItemSchema extends ChatItemType {
  };
 }
-export type BillListItemType = {
-  moduleName: string;
-  amount: number;
-  model?: string;
-  tokenLen?: number;
-};
-export interface BillSchema {
-  _id: string;
-  userId: string;
-  appName: string;
-  appId?: string;
-  source: `${BillSourceEnum}`;
-  time: Date;
-  total: number;
-  list: BillListItemType[];
-}
 export interface PaySchema {
  _id: string;
  userId: string;

--- a/client/src/types/user.d.ts
+++ b/client/src/types/user.d.ts
 import { BillSourceEnum } from '@/constants/user';
-import type { BillSchema, UserModelSchema } from './mongoSchema';
+import type { UserModelSchema } from './mongoSchema';
+import type { BillSchema } from '@/types/common/bill';
 export interface UserType {
  _id: string;
  username: string;

--- a/client/src/utils/adapt.ts
+++ b/client/src/utils/adapt.ts
 import { formatPrice } from './user';
-import type { BillSchema } from '../types/mongoSchema';
+import type { BillSchema } from '@/types/common/bill';
 import type { UserBillType } from '@/types/user';
 import { ChatItemType } from '@/types/chat';
 import { ChatCompletionRequestMessageRoleEnum } from 'openai';

--- a/client/src/utils/web/core/dataset.ts
+++ b/client/src/utils/web/core/dataset.ts
+import { postCreateTrainingBill } from '@/api/common/bill';
 import { postChunks2Dataset } from '@/api/core/dataset/data';
 import { TrainingModeEnum } from '@/constants/plugin';
 import type { DatasetDataItemType } from '@/types/core/dataset/data';
@@ -8,7 +9,7 @@ export async function chunksUpload({
  mode,
  chunks,
  prompt,
-  rate = 200,
+  rate = 50,
  onUploading
 }: {
  kbId: string;
@@ -18,12 +19,16 @@ export async function chunksUpload({
  rate?: number;
  onUploading?: (insertLen: number, total: number) => void;
 }) {
+  // create training bill
+  const billId = await postCreateTrainingBill({ name: 'dataset.Training Name' });
  async function upload(data: DatasetDataItemType[]) {
    return postChunks2Dataset({
      kbId,
      data,
      mode,
-      prompt
+      prompt,
+      billId
    });
  }