Update docs and response tag in share page (#694)

* perf: chunk index show

* share response

* perf: vector query

* web printFinger

* remove log

* fix: bucket name

* perf: training schema

* perf: sort index
This commit is contained in:
Archer
2024-01-05 18:02:37 +08:00
committed by GitHub
parent 331d18c88f
commit 3f088bce6a
23 changed files with 242 additions and 181 deletions

View File

@@ -522,9 +522,13 @@
},
"score": {
"embedding": "Embedding",
"embedding desc": "",
"fullText": "Full text",
"fullText desc": "",
"reRank": "ReRank",
"rrf": "RRF Merge"
"reRank desc": "",
"rrf": "RRF Merge",
"rrf desc": ""
},
"search mode": "Search Mode"
},
@@ -874,8 +878,6 @@
"QPM": "QPM",
"QPM Tips": "The maximum number of queries per IP address per minute",
"QPM is empty": "QPM is empty",
"Response Detail": "Quote",
"Response Detail tips": "Whether detailed data such as references to be returned",
"token auth": "Token Auth",
"token auth Tips": "Identity verification server address. If this value is set, the server will be specified to send a request for identity verification before each session",
"token auth use cases": "Review the authentication instructions"
@@ -903,6 +905,12 @@
"Update Your Plugin": "Update Plugin"
},
"support": {
"outlink": {
"share": {
"Response Quote": "Show Quote",
"Response Quote tips": "The referenced content is returned in the share link, but the user is not allowed to download the original document."
}
},
"user": {
"Price": "Price",
"auth": {

View File

@@ -878,8 +878,6 @@
"QPM": "",
"QPM Tips": "每个 IP 每分钟最多提问多少次",
"QPM is empty": "QPM 不能为空",
"Response Detail": "返回详情",
"Response Detail tips": "是否需要返回详情(引用内容,调用时间等,不会返回预设提示词和完整上下文)",
"token auth": "身份验证",
"token auth Tips": "身份校验服务器地址,如填写该值,每次对话前都会向指定服务器发送一个请求,进行身份校验",
"token auth use cases": "查看身份验证使用说明"
@@ -907,6 +905,12 @@
"Update Your Plugin": "更新插件"
},
"support": {
"outlink": {
"share": {
"Response Quote": "返回引用",
"Response Quote tips": "在分享链接中返回引用内容,但不会允许用户下载原文档"
}
},
"user": {
"Price": "计费标准",
"auth": {

View File

@@ -133,72 +133,69 @@ const ResponseTags = ({
</Flex>
</>
)}
<Flex alignItems={'center'} mt={3} flexWrap={'wrap'}>
{quoteList.length > 0 && (
<MyTooltip label="查看引用">
<Tag
colorSchema="blue"
cursor={'pointer'}
{...TagStyles}
onClick={() => setQuoteModalData({ rawSearch: quoteList })}
>
{quoteList.length}
{!isShare && (
<Flex alignItems={'center'} mt={3} flexWrap={'wrap'}>
{quoteList.length > 0 && (
<MyTooltip label="查看引用">
<Tag
colorSchema="blue"
cursor={'pointer'}
{...TagStyles}
onClick={() => setQuoteModalData({ rawSearch: quoteList })}
>
{quoteList.length}
</Tag>
</MyTooltip>
)}
{chatAccount === 1 && (
<>
{historyPreview.length > 0 && (
<MyTooltip label={'点击查看完整对话记录'}>
<Tag
colorSchema="green"
cursor={'pointer'}
{...TagStyles}
onClick={() => setContextModalData(historyPreview)}
>
{historyPreview.length}
</Tag>
</MyTooltip>
)}
</>
)}
{chatAccount > 1 && (
<Tag colorSchema="blue" {...TagStyles}>
AI
</Tag>
)}
{isPc && runningTime > 0 && (
<MyTooltip label={'模块运行时间和'}>
<Tag colorSchema="purple" cursor={'default'} {...TagStyles}>
{runningTime}s
</Tag>
</MyTooltip>
)}
<MyTooltip label={t('core.chat.response.Read complete response tips')}>
<Tag colorSchema="gray" cursor={'pointer'} {...TagStyles} onClick={onOpenWholeModal}>
{t('core.chat.response.Read complete response')}
</Tag>
</MyTooltip>
)}
{chatAccount === 1 && (
<>
{historyPreview.length > 0 && (
<MyTooltip label={'点击查看完整对话记录'}>
<Tag
colorSchema="green"
cursor={'pointer'}
{...TagStyles}
onClick={() => setContextModalData(historyPreview)}
>
{historyPreview.length}
</Tag>
</MyTooltip>
)}
</>
)}
{chatAccount > 1 && (
<Tag colorSchema="blue" {...TagStyles}>
AI
</Tag>
)}
{isPc && runningTime > 0 && (
<MyTooltip label={'模块运行时间和'}>
<Tag colorSchema="purple" cursor={'default'} {...TagStyles}>
{runningTime}s
</Tag>
</MyTooltip>
)}
<MyTooltip label={t('core.chat.response.Read complete response tips')}>
<Tag colorSchema="gray" cursor={'pointer'} {...TagStyles} onClick={onOpenWholeModal}>
{t('core.chat.response.Read complete response')}
</Tag>
</MyTooltip>
{!!quoteModalData && (
<QuoteModal
{...quoteModalData}
isShare={isShare}
onClose={() => setQuoteModalData(undefined)}
/>
)}
{!!contextModalData && (
<ContextModal context={contextModalData} onClose={() => setContextModalData(undefined)} />
)}
{isOpenWholeModal && (
<WholeResponseModal
response={responseData}
isShare={isShare}
onClose={onCloseWholeModal}
/>
)}
</Flex>
</Flex>
)}
{!!quoteModalData && (
<QuoteModal
{...quoteModalData}
isShare={isShare}
onClose={() => setQuoteModalData(undefined)}
/>
)}
{!!contextModalData && (
<ContextModal context={contextModalData} onClose={() => setContextModalData(undefined)} />
)}
{isOpenWholeModal && (
<WholeResponseModal response={responseData} isShare={isShare} onClose={onCloseWholeModal} />
)}
</>
);
};

View File

@@ -126,63 +126,88 @@ const QuoteItem = ({
>
<Flex alignItems={'center'} mb={3}>
{score?.primaryScore && (
<MyTooltip label={t(SearchScoreTypeMap[score.primaryScore.type]?.desc)}>
<Flex
px={'12px'}
py={'5px'}
mr={4}
borderRadius={'md'}
color={'primary.700'}
bg={'primary.50'}
borderWidth={'1px'}
borderColor={'primary.200'}
alignItems={'center'}
fontSize={'sm'}
>
<Box>#{score.primaryScore.index + 1}</Box>
<Box borderRightColor={'primary.700'} borderRightWidth={'1px'} h={'14px'} mx={2} />
<Box>
{t(SearchScoreTypeMap[score.primaryScore.type]?.label)}
{SearchScoreTypeMap[score.primaryScore.type]?.showScore
? ` ${score.primaryScore.value.toFixed(4)}`
: ''}
</Box>
</Flex>
</MyTooltip>
)}
{score.secondaryScore.map((item, i) => (
<MyTooltip key={item.type} label={t(SearchScoreTypeMap[item.type]?.desc)}>
<Box fontSize={'xs'} mr={3}>
<Flex alignItems={'flex-start'} lineHeight={1.2} mb={1}>
<Box
px={'5px'}
<>
{canViewSource ? (
<MyTooltip label={t(SearchScoreTypeMap[score.primaryScore.type]?.desc)}>
<Flex
px={'12px'}
py={'5px'}
mr={4}
borderRadius={'md'}
color={'primary.700'}
bg={'primary.50'}
borderWidth={'1px'}
borderRadius={'sm'}
mr={1}
{...(scoreTheme[i] && scoreTheme[i])}
borderColor={'primary.200'}
alignItems={'center'}
fontSize={'sm'}
>
<Box transform={'scale(0.9)'}>#{item.index + 1}</Box>
</Box>
<Box transform={'scale(0.9)'}>
{t(SearchScoreTypeMap[item.type]?.label)}: {item.value.toFixed(4)}
</Box>
</Flex>
<Box h={'4px'}>
{SearchScoreTypeMap[item.type]?.showScore && (
<Progress
value={item.value * 100}
h={'4px'}
w={'100%'}
size="sm"
borderRadius={'20px'}
colorScheme={scoreTheme[i]?.colorSchema}
bg="#E8EBF0"
<Box>#{score.primaryScore.index + 1}</Box>
<Box
borderRightColor={'primary.700'}
borderRightWidth={'1px'}
h={'14px'}
mx={2}
/>
)}
<Box>
{t(SearchScoreTypeMap[score.primaryScore.type]?.label)}
{SearchScoreTypeMap[score.primaryScore.type]?.showScore
? ` ${score.primaryScore.value.toFixed(4)}`
: ''}
</Box>
</Flex>
</MyTooltip>
) : (
<Flex
px={'12px'}
py={'1px'}
mr={4}
borderRadius={'md'}
color={'primary.700'}
bg={'primary.50'}
borderWidth={'1px'}
borderColor={'primary.200'}
alignItems={'center'}
fontSize={'sm'}
>
<Box>#{score.primaryScore.index + 1}</Box>
</Flex>
)}
</>
)}
{canViewSource &&
score.secondaryScore.map((item, i) => (
<MyTooltip key={item.type} label={t(SearchScoreTypeMap[item.type]?.desc)}>
<Box fontSize={'xs'} mr={3}>
<Flex alignItems={'flex-start'} lineHeight={1.2} mb={1}>
<Box
px={'5px'}
borderWidth={'1px'}
borderRadius={'sm'}
mr={1}
{...(scoreTheme[i] && scoreTheme[i])}
>
<Box transform={'scale(0.9)'}>#{item.index + 1}</Box>
</Box>
<Box transform={'scale(0.9)'}>
{t(SearchScoreTypeMap[item.type]?.label)}: {item.value.toFixed(4)}
</Box>
</Flex>
<Box h={'4px'}>
{SearchScoreTypeMap[item.type]?.showScore && (
<Progress
value={item.value * 100}
h={'4px'}
w={'100%'}
size="sm"
borderRadius={'20px'}
colorScheme={scoreTheme[i]?.colorSchema}
bg="#E8EBF0"
/>
)}
</Box>
</Box>
</Box>
</MyTooltip>
))}
</MyTooltip>
))}
</Flex>
<Box flex={'1 0 0'}>

View File

@@ -28,5 +28,6 @@ export type DatasetDataListItemType = {
collectionId: string;
q: string; // embedding content
a: string; // bonus content
chunkIndex?: number;
indexes: DatasetDataSchemaType['indexes'];
};

View File

@@ -32,7 +32,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
};
const [data, total] = await Promise.all([
MongoDatasetData.find(match, '_id datasetId collectionId q a indexes')
MongoDatasetData.find(match, '_id datasetId collectionId q a chunkIndex indexes')
.sort({ chunkIndex: 1, updateTime: -1 })
.skip((pageNum - 1) * pageSize)
.limit(pageSize)

View File

@@ -10,6 +10,7 @@ import { updateApiKeyUsage } from '@fastgpt/service/support/openapi/tools';
import { getBillSourceByAuthType } from '@fastgpt/global/support/wallet/bill/tools';
type Props = GetVectorProps & {
input: string | string[];
billId?: string;
};
@@ -22,6 +23,8 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
throw new Error('input is nor array or string');
}
const query = Array.isArray(input) ? input[0] : input;
const { teamId, tmbId, apikey, authType } = await authCert({
req,
authToken: true,
@@ -30,7 +33,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
await authTeamBalance(teamId);
const { tokens, vectors } = await getVectorsByText({ input, model });
const { tokens, vectors } = await getVectorsByText({ input: query, model });
jsonRes(res, {
data: {

View File

@@ -96,7 +96,7 @@ const Share = ({ appId }: { appId: string }) => {
<Tr>
<Th></Th>
<Th></Th>
<Th></Th>
<Th></Th>
{feConfigs?.isPlus && (
<>
<Th>IP限流/</Th>
@@ -373,8 +373,8 @@ function EditLinkModal({
<Flex alignItems={'center'} mt={4}>
<Flex flex={'0 0 90px'} alignItems={'center'}>
{t('outlink.Response Detail')}
<MyTooltip label={t('outlink.Response Detail tips' || '')}>
{t('support.outlink.share.Response Quote')}
<MyTooltip label={t('support.outlink.share.Response Quote tips' || '')}>
<QuestionOutlineIcon ml={1} />
</MyTooltip>
</Flex>

View File

@@ -307,7 +307,7 @@ const DataCard = () => {
>
<Flex zIndex={1} alignItems={'center'} justifyContent={'space-between'}>
<Box border={theme.borders.base} px={2} fontSize={'sm'} mr={1} borderRadius={'md'}>
# {index + 1}
# {item.chunkIndex ?? '-'}
</Box>
<Box className={'textEllipsis'} color={'myGray.500'} fontSize={'xs'}>
ID:{item._id}

View File

@@ -295,7 +295,7 @@ export async function searchDatasetData(props: {
const embeddingRecall = async ({ query, limit }: { query: string; limit: number }) => {
const { vectors, tokens } = await getVectorsByText({
model,
input: [query]
input: query
});
const { results } = await recallFromVectorStore({

View File

@@ -26,6 +26,8 @@ export async function generateVector(): Promise<any> {
if (global.vectorQueueLen >= global.systemEnv.vectorMaxProcess) return;
global.vectorQueueLen++;
const start = Date.now();
// get training data
const {
data,
@@ -154,6 +156,8 @@ export async function generateVector(): Promise<any> {
await MongoDatasetTraining.findByIdAndDelete(data._id);
reduceQueue();
generateVector();
console.log(`embedding finished, time: ${Date.now() - start}ms`);
} catch (err: any) {
reduceQueue(true);
// log

View File

@@ -1,26 +1,23 @@
import type { ChatHistoryItemResType } from '@fastgpt/global/core/chat/type.d';
import { FlowNodeTypeEnum } from '@fastgpt/global/core/module/node/constant';
export function selectShareResponse({
export const selectShareResponse = ({
responseData = []
}: {
responseData?: ChatHistoryItemResType[];
}) {
const filedList = [
'moduleType',
'moduleName',
'moduleLogo',
'runningTime',
'quoteList',
'question'
];
return responseData.map((item) => {
const obj: Record<string, any> = {};
for (let key in item) {
if (filedList.includes(key)) {
// @ts-ignore
obj[key] = item[key];
}) => {
const filedList = ['quoteList', 'moduleType'];
const filterModuleTypeList: any[] = [FlowNodeTypeEnum.chatNode];
return responseData
.filter((item) => filterModuleTypeList.includes(item.moduleType))
.map((item) => {
const obj: Record<string, any> = {};
for (let key in item) {
if (filedList.includes(key)) {
// @ts-ignore
obj[key] = item[key];
}
}
}
return obj as ChatHistoryItemResType;
});
}
return obj as ChatHistoryItemResType;
});
};