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https://github.com/labring/FastGPT.git
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perf: model data code
This commit is contained in:
@@ -1,11 +1,8 @@
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/** @type {import('next').NextConfig} */
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const path = require('path');
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const isDev = process.env.NODE_ENV === 'development';
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const nextConfig = {
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output: 'standalone',
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reactStrictMode: false,
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reactStrictMode: true,
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compress: true,
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webpack(config) {
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config.module.rules = config.module.rules.concat([
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@@ -1,5 +1,5 @@
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import { GET, POST, DELETE, PUT } from './request';
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import type { ModelSchema, ModelDataSchema, ModelSplitDataSchema } from '@/types/mongoSchema';
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import type { ModelSchema, ModelDataSchema } from '@/types/mongoSchema';
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import { ModelUpdateParams } from '@/types/model';
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import { TrainingItemType } from '../types/training';
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import { RequestPaging } from '../types/index';
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@@ -1,4 +1,4 @@
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import type { ModelDataType, ModelSchema } from '@/types/mongoSchema';
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import type { ModelSchema } from '@/types/mongoSchema';
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export enum ModelDataStatusEnum {
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ready = 'ready',
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@@ -120,7 +120,7 @@ export const ModelVectorSearchModeMap: Record<
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export const defaultModel: ModelSchema = {
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_id: '',
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userId: '',
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name: '',
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name: 'modelName',
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avatar: '',
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status: ModelStatusEnum.pending,
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updateTime: Date.now(),
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15
src/pages/_error.tsx
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15
src/pages/_error.tsx
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@@ -0,0 +1,15 @@
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function Error({ statusCode }: { statusCode: number }) {
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return (
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<p>
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{statusCode ? `An error ${statusCode} occurred on server` : 'An error occurred on client'}
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</p>
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);
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}
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Error.getInitialProps = ({ res, err }: { res: any; err: any }) => {
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const statusCode = res ? res.statusCode : err ? err.statusCode : 404;
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console.log(err);
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return { statusCode };
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};
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export default Error;
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@@ -1,4 +1,4 @@
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import React, { useCallback, useState } from 'react';
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import React, { useCallback, useState, useRef } from 'react';
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import {
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Box,
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TableContainer,
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@@ -19,7 +19,6 @@ import {
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Input
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} from '@chakra-ui/react';
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import type { BoxProps } from '@chakra-ui/react';
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import type { ModelSchema } from '@/types/mongoSchema';
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import type { ModelDataItemType } from '@/types/model';
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import { ModelDataStatusMap } from '@/constants/model';
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import { usePagination } from '@/hooks/usePagination';
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@@ -34,19 +33,23 @@ import { useLoading } from '@/hooks/useLoading';
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import { fileDownload } from '@/utils/file';
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import dynamic from 'next/dynamic';
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import { useMutation, useQuery } from '@tanstack/react-query';
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import type { FormData as InputDataType } from './InputDataModal';
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import Papa from 'papaparse';
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import InputModal, { FormData as InputDataType } from './InputDataModal';
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const InputModel = dynamic(() => import('./InputDataModal'));
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const SelectFileModel = dynamic(() => import('./SelectFileModal'));
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const SelectUrlModel = dynamic(() => import('./SelectUrlModal'));
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const SelectFileModal = dynamic(() => import('./SelectFileModal'));
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const SelectCsvModal = dynamic(() => import('./SelectCsvModal'));
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let lastSearch = '';
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const ModelDataCard = ({ model }: { model: ModelSchema }) => {
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const ModelDataCard = ({ modelId }: { modelId: string }) => {
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const { Loading, setIsLoading } = useLoading();
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const lastSearch = useRef('');
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const [searchText, setSearchText] = useState('');
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const tdStyles = useRef<BoxProps>({
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fontSize: 'xs',
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maxW: '500px',
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whiteSpace: 'pre-wrap',
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maxH: '250px',
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overflowY: 'auto'
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});
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const {
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data: modelDataList,
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isLoading,
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@@ -58,7 +61,7 @@ const ModelDataCard = ({ model }: { model: ModelSchema }) => {
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api: getModelDataList,
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pageSize: 10,
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params: {
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modelId: model._id,
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modelId,
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searchText
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}
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});
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@@ -70,19 +73,20 @@ const ModelDataCard = ({ model }: { model: ModelSchema }) => {
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onOpen: onOpenSelectFileModal,
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onClose: onCloseSelectFileModal
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} = useDisclosure();
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const {
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isOpen: isOpenSelectUrlModal,
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onOpen: onOpenSelectUrlModal,
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onClose: onCloseSelectUrlModal
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} = useDisclosure();
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const {
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isOpen: isOpenSelectCsvModal,
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onOpen: onOpenSelectCsvModal,
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onClose: onCloseSelectCsvModal
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} = useDisclosure();
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const { data: splitDataLen, refetch } = useQuery(['getModelSplitDataList'], () =>
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getModelSplitDataListLen(model._id)
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const { data: splitDataLen = 0, refetch } = useQuery(
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['getModelSplitDataList'],
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() => getModelSplitDataListLen(modelId),
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{
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onError(err) {
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console.log(err);
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}
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}
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);
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const refetchData = useCallback(
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@@ -94,8 +98,8 @@ const ModelDataCard = ({ model }: { model: ModelSchema }) => {
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);
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// 获取所有的数据,并导出 json
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const { mutate: onclickExport, isLoading: isLoadingExport } = useMutation({
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mutationFn: () => getExportDataList(model._id),
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const { mutate: onclickExport, isLoading: isLoadingExport = false } = useMutation({
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mutationFn: () => getExportDataList(modelId),
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onSuccess(res) {
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try {
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setIsLoading(true);
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@@ -112,17 +116,12 @@ const ModelDataCard = ({ model }: { model: ModelSchema }) => {
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error;
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}
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setIsLoading(false);
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},
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onError(err) {
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console.log(err);
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}
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});
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const tdStyles: BoxProps = {
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fontSize: 'xs',
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maxW: '500px',
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whiteSpace: 'pre-wrap',
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maxH: '250px',
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overflowY: 'auto'
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};
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return (
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<>
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<Flex>
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@@ -150,7 +149,7 @@ const ModelDataCard = ({ model }: { model: ModelSchema }) => {
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>
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导出
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</Button>
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<Menu>
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<Menu autoSelect={false}>
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<MenuButton as={Button} size={'sm'}>
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导入
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</MenuButton>
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@@ -166,17 +165,13 @@ const ModelDataCard = ({ model }: { model: ModelSchema }) => {
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手动输入
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</MenuItem>
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<MenuItem onClick={onOpenSelectFileModal}>文本/文件拆分</MenuItem>
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{/* <MenuItem onClick={onOpenSelectUrlModal}>网站内容拆分</MenuItem> */}
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<MenuItem onClick={onOpenSelectCsvModal}>csv 问答对导入</MenuItem>
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</MenuList>
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</Menu>
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</Flex>
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<Flex mt={4}>
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{/* 拆分数据提示 */}
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{!!(splitDataLen && splitDataLen > 0) && (
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<Box fontSize={'xs'}>{splitDataLen}条数据正在拆分...</Box>
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)}
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<Box flex={1}></Box>
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{splitDataLen > 0 && <Box fontSize={'xs'}>{splitDataLen}条数据正在拆分...</Box>}
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<Box flex={1} />
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<Input
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maxW={'240px'}
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size={'sm'}
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@@ -184,15 +179,15 @@ const ModelDataCard = ({ model }: { model: ModelSchema }) => {
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placeholder="搜索相关问题和答案,回车确认"
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onChange={(e) => setSearchText(e.target.value)}
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onBlur={() => {
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if (searchText === lastSearch) return;
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if (searchText === lastSearch.current) return;
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getData(1);
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lastSearch = searchText;
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lastSearch.current = searchText;
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}}
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onKeyDown={(e) => {
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if (searchText === lastSearch) return;
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if (searchText === lastSearch.current) return;
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if (e.key === 'Enter') {
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getData(1);
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lastSearch = searchText;
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lastSearch.current = searchText;
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}
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}}
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/>
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@@ -203,7 +198,7 @@ const ModelDataCard = ({ model }: { model: ModelSchema }) => {
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<Table variant={'simple'} w={'100%'}>
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<Thead>
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<Tr>
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<Th>匹配内容(问题)</Th>
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<Th>{'匹配内容(问题)'}</Th>
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<Th>对应答案</Th>
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<Th>状态</Th>
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<Th>操作</Th>
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@@ -213,10 +208,10 @@ const ModelDataCard = ({ model }: { model: ModelSchema }) => {
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{modelDataList.map((item) => (
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<Tr key={item.id}>
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<Td>
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<Box {...tdStyles}>{item.q}</Box>
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<Box {...tdStyles.current}>{item.q}</Box>
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</Td>
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<Td>
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<Box {...tdStyles}>{item.a || '-'}</Box>
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<Box {...tdStyles.current}>{item.a || '-'}</Box>
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</Td>
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<Td>{ModelDataStatusMap[item.status]}</Td>
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<Td>
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@@ -258,33 +253,22 @@ const ModelDataCard = ({ model }: { model: ModelSchema }) => {
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<Loading loading={isLoading} fixed={false} />
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{editInputData !== undefined && (
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<InputModel
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modelId={model._id}
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<InputModal
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modelId={modelId}
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defaultValues={editInputData}
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onClose={() => setEditInputData(undefined)}
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onSuccess={refetchData}
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/>
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)}
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{isOpenSelectFileModal && (
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<SelectFileModel
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modelId={model._id}
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<SelectFileModal
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modelId={modelId}
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onClose={onCloseSelectFileModal}
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onSuccess={refetchData}
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/>
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)}
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{isOpenSelectUrlModal && (
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<SelectUrlModel
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modelId={model._id}
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onClose={onCloseSelectUrlModal}
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onSuccess={refetchData}
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/>
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)}
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{isOpenSelectCsvModal && (
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<SelectCsvModal
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modelId={model._id}
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onClose={onCloseSelectCsvModal}
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onSuccess={refetchData}
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/>
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<SelectCsvModal modelId={modelId} onClose={onCloseSelectCsvModal} onSuccess={refetchData} />
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)}
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</>
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);
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@@ -1,4 +1,4 @@
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import React, { useCallback, useState, useRef, useMemo, useEffect } from 'react';
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import React, { useCallback, useState, useMemo, useEffect } from 'react';
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import { useRouter } from 'next/router';
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import { getModelById, delModelById, putModelTrainingStatus, putModelById } from '@/api/model';
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import type { ModelSchema } from '@/types/mongoSchema';
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@@ -8,16 +8,16 @@ import { useForm } from 'react-hook-form';
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import { formatModelStatus, ModelStatusEnum, modelList, defaultModel } from '@/constants/model';
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import { useGlobalStore } from '@/store/global';
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import { useScreen } from '@/hooks/useScreen';
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import ModelEditForm from './components/ModelEditForm';
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import { useQuery } from '@tanstack/react-query';
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import dynamic from 'next/dynamic';
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const ModelEditForm = dynamic(() => import('./components/ModelEditForm'));
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const ModelDataCard = dynamic(() => import('./components/ModelDataCard'));
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const ModelDetail = ({ modelId }: { modelId: string }) => {
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const { toast } = useToast();
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const router = useRouter();
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const { isPc, media } = useScreen();
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const { isPc } = useScreen();
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const { setLoading } = useGlobalStore();
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const [model, setModel] = useState<ModelSchema>(defaultModel);
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@@ -76,36 +76,6 @@ const ModelDetail = ({ modelId }: { modelId: string }) => {
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setLoading(false);
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}, [setLoading, router, modelId]);
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/* 上传数据集,触发微调 */
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// const startTraining = useCallback(
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// async (e: React.ChangeEvent<HTMLInputElement>) => {
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// if (!modelId || !e.target.files || e.target.files?.length === 0) return;
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// setLoading(true);
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// try {
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// const file = e.target.files[0];
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// const formData = new FormData();
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// formData.append('file', file);
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// await postTrainModel(modelId, formData);
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// toast({
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// title: '开始训练...',
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// status: 'success'
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// });
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// // 重新获取模型
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// loadModel();
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// } catch (err: any) {
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// toast({
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// title: err?.message || '上传文件失败',
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// status: 'error'
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// });
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// console.log('error->', err);
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// }
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// setLoading(false);
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// },
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// [setLoading, loadModel, modelId, toast]
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// );
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/* 点击更新模型状态 */
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const handleClickUpdateStatus = useCallback(async () => {
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if (!model || model.status !== ModelStatusEnum.training) return;
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@@ -236,21 +206,12 @@ const ModelDetail = ({ modelId }: { modelId: string }) => {
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</>
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)}
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</Card>
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<Grid mt={5} gridTemplateColumns={media('1fr 1fr', '1fr')} gridGap={5}>
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<Grid mt={5} gridTemplateColumns={['1fr', '1fr 1fr']} gridGap={5}>
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<ModelEditForm formHooks={formHooks} handleDelModel={handleDelModel} canTrain={canTrain} />
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{canTrain && model._id && (
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<Card
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p={4}
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{...media(
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{
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gridColumnStart: 1,
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gridColumnEnd: 3
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},
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{}
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)}
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>
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<ModelDataCard model={model} />
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{canTrain && !!model._id && (
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<Card p={4} gridColumnStart={[1, 1]} gridColumnEnd={[2, 3]}>
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<ModelDataCard modelId={model._id} />
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</Card>
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)}
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</Grid>
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