4.6.2-production (#518)

This commit is contained in:
Archer
2023-11-26 16:13:45 +08:00
committed by GitHub
parent 3acbf1ab17
commit f818260711
30 changed files with 477 additions and 283 deletions

View File

@@ -17,7 +17,7 @@ import type { UserType } from '@fastgpt/global/support/user/type.d';
import { useQuery } from '@tanstack/react-query';
import dynamic from 'next/dynamic';
import { useSelectFile } from '@/web/common/file/hooks/useSelectFile';
import { compressImgAndUpload } from '@/web/common/file/controller';
import { compressImgFileAndUpload } from '@/web/common/file/controller';
import { feConfigs, systemVersion } from '@/web/common/system/staticData';
import { useTranslation } from 'next-i18next';
import { timezoneList } from '@fastgpt/global/common/time/timezone';
@@ -94,7 +94,7 @@ const UserInfo = () => {
const file = e[0];
if (!file || !userInfo) return;
try {
const src = await compressImgAndUpload({
const src = await compressImgFileAndUpload({
file,
maxW: 100,
maxH: 100

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@@ -14,7 +14,7 @@ import { useForm } from 'react-hook-form';
import { AppSchema } from '@fastgpt/global/core/app/type.d';
import { useToast } from '@/web/common/hooks/useToast';
import { useSelectFile } from '@/web/common/file/hooks/useSelectFile';
import { compressImgAndUpload } from '@/web/common/file/controller';
import { compressImgFileAndUpload } from '@/web/common/file/controller';
import { getErrText } from '@fastgpt/global/common/error/utils';
import { useRequest } from '@/web/common/hooks/useRequest';
import Avatar from '@/components/Avatar';
@@ -101,7 +101,7 @@ const InfoModal = ({
const file = e[0];
if (!file) return;
try {
const src = await compressImgAndUpload({
const src = await compressImgFileAndUpload({
file,
maxW: 100,
maxH: 100

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@@ -13,7 +13,7 @@ import {
} from '@chakra-ui/react';
import { useSelectFile } from '@/web/common/file/hooks/useSelectFile';
import { useForm } from 'react-hook-form';
import { compressImgAndUpload } from '@/web/common/file/controller';
import { compressImgFileAndUpload } from '@/web/common/file/controller';
import { getErrText } from '@fastgpt/global/common/error/utils';
import { useToast } from '@/web/common/hooks/useToast';
import { postCreateApp } from '@/web/core/app/api';
@@ -58,7 +58,7 @@ const CreateModal = ({ onClose, onSuccess }: { onClose: () => void; onSuccess: (
const file = e[0];
if (!file) return;
try {
const src = await compressImgAndUpload({
const src = await compressImgFileAndUpload({
file,
maxW: 100,
maxH: 100

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@@ -16,10 +16,12 @@ import { QuestionOutlineIcon } from '@chakra-ui/icons';
import { useDatasetStore } from '@/web/core/dataset/store/dataset';
import { useImportStore, SelectorContainer, PreviewFileOrChunk } from './Provider';
import { useTranslation } from 'next-i18next';
const fileExtension = '.txt, .doc, .docx, .pdf, .md';
const fileExtension = '.txt, .docx, .pdf, .md';
const ChunkImport = () => {
const { t } = useTranslation();
const { datasetDetail } = useDatasetStore();
const vectorModel = datasetDetail.vectorModel;
const unitPrice = vectorModel?.price || 0.2;
@@ -48,13 +50,8 @@ const ChunkImport = () => {
{/* chunk size */}
<Flex py={4} alignItems={'center'}>
<Box>
<MyTooltip
label={
'按结束标点符号进行分段。前后段落会有 20% 的内容重叠。\n中文文档建议不要超过1000英文不要超过1500'
}
forceShow
>
{t('core.dataset.import.Ideal chunk length')}
<MyTooltip label={t('core.dataset.import.Ideal chunk length Tips')} forceShow>
<QuestionOutlineIcon ml={1} />
</MyTooltip>
</Box>

View File

@@ -48,6 +48,7 @@ export interface Props extends BoxProps {
onPushFiles: (files: FileItemType[]) => void;
tipText?: string;
chunkLen?: number;
overlapRatio?: number;
fileTemplate?: {
type: string;
filename: string;
@@ -63,6 +64,7 @@ const FileSelect = ({
onPushFiles,
tipText,
chunkLen = 500,
overlapRatio,
fileTemplate,
showUrlFetch = true,
showCreateFile = true,
@@ -97,6 +99,13 @@ const FileSelect = ({
// select file
const onSelectFile = useCallback(
async (files: File[]) => {
if (files.length >= 100) {
return toast({
status: 'warning',
title: t('common.file.Select file amount limit 100')
});
}
try {
for await (let file of files) {
const extension = file?.name?.split('.')?.pop()?.toLowerCase();
@@ -165,7 +174,6 @@ const FileSelect = ({
return readTxtContent(file);
case 'pdf':
return readPdfContent(file);
case 'doc':
case 'docx':
return readDocContent(file);
}
@@ -176,7 +184,8 @@ const FileSelect = ({
text = simpleText(text);
const splitRes = splitText2Chunks({
text,
maxLen: chunkLen
chunkLen,
overlapRatio
});
const fileItem: FileItemType = {
@@ -206,7 +215,7 @@ const FileSelect = ({
}
setSelectingText(undefined);
},
[chunkLen, datasetDetail._id, onPushFiles, t, toast]
[chunkLen, datasetDetail._id, onPushFiles, overlapRatio, t, toast]
);
// link fetch
const onUrlFetch = useCallback(
@@ -214,7 +223,8 @@ const FileSelect = ({
const result: FileItemType[] = e.map(({ url, content }) => {
const splitRes = splitText2Chunks({
text: content,
maxLen: chunkLen
chunkLen,
overlapRatio
});
return {
id: nanoid(),
@@ -234,7 +244,7 @@ const FileSelect = ({
});
onPushFiles(result);
},
[chunkLen, onPushFiles]
[chunkLen, onPushFiles, overlapRatio]
);
// manual create file and copy data
const onCreateFile = useCallback(
@@ -255,7 +265,8 @@ const FileSelect = ({
const splitRes = splitText2Chunks({
text: content,
maxLen: chunkLen
chunkLen,
overlapRatio
});
onPushFiles([
@@ -276,7 +287,7 @@ const FileSelect = ({
}
]);
},
[chunkLen, datasetDetail._id, onPushFiles]
[chunkLen, datasetDetail._id, onPushFiles, overlapRatio]
);
const handleDragEnter = (e: DragEvent<HTMLDivElement>) => {

View File

@@ -41,16 +41,19 @@ const ImportData = ({
const map = {
[ImportTypeEnum.chunk]: {
defaultChunkLen: vectorModel?.defaultToken || 500,
chunkOverlapRatio: 0.2,
unitPrice: vectorModel?.price || 0.2,
mode: TrainingModeEnum.chunk
},
[ImportTypeEnum.qa]: {
defaultChunkLen: agentModel?.maxContext * 0.6 || 9000,
defaultChunkLen: agentModel?.maxContext * 0.6 || 8000,
chunkOverlapRatio: 0,
unitPrice: agentModel?.price || 3,
mode: TrainingModeEnum.qa
},
[ImportTypeEnum.csv]: {
defaultChunkLen: vectorModel?.defaultToken || 500,
chunkOverlapRatio: 0,
unitPrice: vectorModel?.price || 0.2,
mode: TrainingModeEnum.chunk
}

View File

@@ -44,6 +44,7 @@ type useImportStoreType = {
price: number;
uploading: boolean;
chunkLen: number;
chunkOverlapRatio: number;
setChunkLen: Dispatch<number>;
showRePreview: boolean;
setReShowRePreview: Dispatch<SetStateAction<boolean>>;
@@ -66,6 +67,7 @@ const StateContext = createContext<useImportStoreType>({
},
price: 0,
chunkLen: 0,
chunkOverlapRatio: 0,
setChunkLen: function (value: number): void {
throw new Error('Function not implemented.');
},
@@ -93,6 +95,7 @@ const Provider = ({
vectorModel,
agentModel,
defaultChunkLen = 500,
chunkOverlapRatio = 0.2,
importType,
onUploadSuccess,
children
@@ -104,6 +107,7 @@ const Provider = ({
vectorModel: string;
agentModel: string;
defaultChunkLen: number;
chunkOverlapRatio: number;
importType: `${ImportTypeEnum}`;
onUploadSuccess: () => void;
children: React.ReactNode;
@@ -180,7 +184,8 @@ const Provider = ({
state.map((file) => {
const splitRes = splitText2Chunks({
text: file.text,
maxLen: chunkLen
chunkLen,
overlapRatio: chunkOverlapRatio
});
return {
@@ -228,6 +233,7 @@ const Provider = ({
onclickUpload,
uploading,
chunkLen,
chunkOverlapRatio,
setChunkLen,
showRePreview,
setReShowRePreview
@@ -413,7 +419,8 @@ export const SelectorContainer = ({
tip?: string;
children: React.ReactNode;
}) => {
const { files, setPreviewFile, isUnselectedFile, setFiles, chunkLen } = useImportStore();
const { files, setPreviewFile, isUnselectedFile, setFiles, chunkLen, chunkOverlapRatio } =
useImportStore();
return (
<Box
h={'100%'}
@@ -432,6 +439,7 @@ export const SelectorContainer = ({
setFiles((state) => files.concat(state));
}}
chunkLen={chunkLen}
overlapRatio={chunkOverlapRatio}
showUrlFetch={showUrlFetch}
showCreateFile={showCreateFile}
fileTemplate={fileTemplate}

View File

@@ -1,15 +1,14 @@
import React, { useState, useMemo } from 'react';
import { Box, Flex, Button, Input } from '@chakra-ui/react';
import React, { useState } from 'react';
import { Box, Flex, Button, Textarea } from '@chakra-ui/react';
import { useConfirm } from '@/web/common/hooks/useConfirm';
import { formatPrice } from '@fastgpt/global/support/wallet/bill/tools';
import MyTooltip from '@/components/MyTooltip';
import { QuestionOutlineIcon, InfoOutlineIcon } from '@chakra-ui/icons';
import { QuestionOutlineIcon } from '@chakra-ui/icons';
import { Prompt_AgentQA } from '@/global/core/prompt/agent';
import { replaceVariable } from '@fastgpt/global/common/string/tools';
import { useImportStore, SelectorContainer, PreviewFileOrChunk } from './Provider';
import { useDatasetStore } from '@/web/core/dataset/store/dataset';
const fileExtension = '.txt, .doc, .docx, .pdf, .md';
const fileExtension = '.txt, .docx, .pdf, .md';
const QAImport = () => {
const { datasetDetail } = useDatasetStore();
@@ -31,36 +30,27 @@ const QAImport = () => {
content: `该任务无法终止!导入后会自动调用大模型生成问答对,会有一些细节丢失,请确认!如果余额不足,未完成的任务会被暂停。`
});
const [prompt, setPrompt] = useState('');
const previewQAPrompt = useMemo(() => {
return replaceVariable(Prompt_AgentQA.prompt, {
theme: prompt || Prompt_AgentQA.defaultTheme
});
}, [prompt]);
const [prompt, setPrompt] = useState(Prompt_AgentQA.description);
return (
<Box display={['block', 'flex']} h={['auto', '100%']}>
<SelectorContainer fileExtension={fileExtension}>
{/* prompt */}
<Box py={5}>
<Box mb={2}>
QA {' '}
<MyTooltip label={previewQAPrompt} forceShow>
<InfoOutlineIcon ml={1} />
</MyTooltip>
<Box p={3} bg={'myWhite.600'} borderRadius={'md'}>
<Box mb={1} fontWeight={'bold'}>
QA
</Box>
<Flex alignItems={'center'} fontSize={'sm'}>
<Box mr={2}></Box>
<Input
fontSize={'sm'}
flex={1}
placeholder={Prompt_AgentQA.defaultTheme}
bg={'myWhite.500'}
<Box whiteSpace={'pre-wrap'} fontSize={'sm'}>
<Textarea
defaultValue={prompt}
onChange={(e) => setPrompt(e.target.value || '')}
rows={8}
fontSize={'sm'}
onChange={(e) => {
setPrompt(e.target.value);
}}
/>
</Flex>
<Box>{Prompt_AgentQA.fixedText}</Box>
</Box>
</Box>
{/* price */}
<Flex py={5} alignItems={'center'}>
@@ -81,10 +71,7 @@ const QAImport = () => {
</Button>
)}
<Button
isDisabled={uploading}
onClick={openConfirm(() => onclickUpload({ prompt: previewQAPrompt }))}
>
<Button isDisabled={uploading} onClick={openConfirm(() => onclickUpload({ prompt }))}>
{uploading ? <Box>{Math.round((successChunks / totalChunks) * 100)}%</Box> : '确认导入'}
</Button>
</Flex>

View File

@@ -15,7 +15,7 @@ import { useToast } from '@/web/common/hooks/useToast';
import { useDatasetStore } from '@/web/core/dataset/store/dataset';
import { useConfirm } from '@/web/common/hooks/useConfirm';
import { UseFormReturn } from 'react-hook-form';
import { compressImgAndUpload } from '@/web/common/file/controller';
import { compressImgFileAndUpload } from '@/web/common/file/controller';
import type { DatasetItemType } from '@fastgpt/global/core/dataset/type.d';
import Avatar from '@/components/Avatar';
import Tag from '@/components/Tag';
@@ -95,7 +95,7 @@ const Info = (
}
setBtnLoading(false);
},
[updateDataset, datasetId, loadDatasetDetail, toast, loadDatasets]
[updateDataset, datasetId, toast, loadDatasets]
);
const saveSubmitError = useCallback(() => {
// deep search message
@@ -119,7 +119,7 @@ const Info = (
const file = e[0];
if (!file) return;
try {
const src = await compressImgAndUpload({
const src = await compressImgFileAndUpload({
file,
maxW: 100,
maxH: 100

View File

@@ -81,43 +81,45 @@ const Test = ({ datasetId }: { datasetId: string }) => {
borderRight={['none', theme.borders.base]}
>
<Box border={'2px solid'} borderColor={'myBlue.600'} p={3} mx={4} borderRadius={'md'}>
<Box fontSize={'sm'} fontWeight={'bold'}>
<MyIcon mr={2} name={'text'} w={'18px'} h={'18px'} color={'myBlue.700'} />
</Box>
<Textarea
rows={6}
resize={'none'}
variant={'unstyled'}
maxLength={datasetDetail.vectorModel.maxToken}
placeholder="输入需要测试的文本"
value={inputText}
onChange={(e) => setInputText(e.target.value)}
/>
<Flex alignItems={'center'} justifyContent={'flex-end'}>
<Flex alignItems={'center'}>
<Box fontSize={'sm'} fontWeight={'bold'} flex={1}>
<MyIcon mr={2} name={'text'} w={'18px'} h={'18px'} color={'myBlue.700'} />
{t('core.dataset.test.Test Text')}
</Box>
{feConfigs?.isPlus && (
<Flex alignItems={'center'}>
{t('dataset.recall.rerank')}
<Switch ml={1} isChecked={rerank} onChange={(e) => setRerank(e.target.checked)} />
</Flex>
)}
</Flex>
<Textarea
rows={6}
resize={'none'}
variant={'unstyled'}
maxLength={datasetDetail.vectorModel.maxToken}
placeholder={t('core.dataset.test.Test Text Placeholder')}
value={inputText}
onChange={(e) => setInputText(e.target.value)}
/>
<Flex alignItems={'center'} justifyContent={'flex-end'}>
<Box mx={3} color={'myGray.500'}>
{inputText.length}
</Box>
<Button isDisabled={inputText === ''} isLoading={isLoading} onClick={mutate}>
{t('core.dataset.test.Test')}
</Button>
</Flex>
</Box>
<Box mt={5} flex={'1 0 0'} px={4} overflow={'overlay'} display={['none', 'block']}>
<Flex alignItems={'center'} color={'myGray.600'}>
<MyIcon mr={2} name={'history'} w={'16px'} h={'16px'} />
<Box fontSize={'2xl'}></Box>
<Box fontSize={'2xl'}>{t('core.dataset.test.test history')}</Box>
</Flex>
<Box mt={2}>
<Flex py={2} fontWeight={'bold'} borderBottom={theme.borders.sm}>
<Box flex={1}></Box>
<Box w={'80px'}></Box>
<Box flex={1}>{t('core.dataset.test.Test Text')}</Box>
<Box w={'80px'}>{t('common.Time')}</Box>
<Box w={'14px'}></Box>
</Flex>
{kbTestHistory.map((item) => (
@@ -139,7 +141,7 @@ const Test = ({ datasetId }: { datasetId: string }) => {
{item.text}
</Box>
<Box w={'80px'}>{formatTimeToChatTime(item.time)}</Box>
<MyTooltip label={'删除该测试记录'}>
<MyTooltip label={t('core.dataset.test.delete test history')}>
<Box w={'14px'} h={'14px'}>
<MyIcon
className="delete"
@@ -171,7 +173,7 @@ const Test = ({ datasetId }: { datasetId: string }) => {
>
<MyIcon name={'empty'} color={'transparent'} w={'54px'} />
<Box mt={3} color={'myGray.600'}>
{t('core.dataset.test.test result placeholder')}
</Box>
</Flex>
) : (
@@ -180,12 +182,7 @@ const Test = ({ datasetId }: { datasetId: string }) => {
<Box fontSize={'3xl'} color={'myGray.600'}>
{t('core.dataset.test.Test Result')}
</Box>
<MyTooltip
label={
'根据知识库内容与测试文本的相似度进行排序,你可以根据测试结果调整对应的文本。\n注意测试记录中的数据可能已经被修改过点击某条测试数据后将展示最新的数据。'
}
forceShow
>
<MyTooltip label={t('core.dataset.test.test result tip')} forceShow>
<QuestionOutlineIcon
mx={2}
color={'myGray.600'}
@@ -221,7 +218,7 @@ const Test = ({ datasetId }: { datasetId: string }) => {
const data = await getDatasetDataItemById(item.id);
if (!data) {
throw new Error('该数据已被删除');
throw new Error(t('core.dataset.data.data is deleted'));
}
setEditInputData({

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@@ -11,7 +11,7 @@ import {
} from '@chakra-ui/react';
import { useSelectFile } from '@/web/common/file/hooks/useSelectFile';
import { useForm } from 'react-hook-form';
import { compressImgAndUpload } from '@/web/common/file/controller';
import { compressImgFileAndUpload } from '@/web/common/file/controller';
import { getErrText } from '@fastgpt/global/common/error/utils';
import { useToast } from '@/web/common/hooks/useToast';
import { useRouter } from 'next/router';
@@ -57,7 +57,7 @@ const CreateModal = ({ onClose, parentId }: { onClose: () => void; parentId?: st
const file = e[0];
if (!file) return;
try {
const src = await compressImgAndUpload({
const src = await compressImgFileAndUpload({
file,
maxW: 100,
maxH: 100

View File

@@ -11,7 +11,7 @@ import {
} from '@chakra-ui/react';
import { useSelectFile } from '@/web/common/file/hooks/useSelectFile';
import { useForm } from 'react-hook-form';
import { compressImgAndUpload } from '@/web/common/file/controller';
import { compressImgFileAndUpload } from '@/web/common/file/controller';
import { getErrText } from '@fastgpt/global/common/error/utils';
import { useToast } from '@/web/common/hooks/useToast';
import { useRouter } from 'next/router';
@@ -136,7 +136,7 @@ const CreateModal = ({
const file = e[0];
if (!file) return;
try {
const src = await compressImgAndUpload({
const src = await compressImgFileAndUpload({
file,
maxW: 100,
maxH: 100