mirror of
https://github.com/labring/FastGPT.git
synced 2025-07-23 21:13:50 +00:00
perf: response tag;feat: history quote
This commit is contained in:
@@ -51,7 +51,7 @@ const ResponseTags = ({
|
||||
bg: 'transparent'
|
||||
};
|
||||
|
||||
return (
|
||||
return responseData.length === 0 ? null : (
|
||||
<Flex alignItems={'center'} mt={2} flexWrap={'wrap'}>
|
||||
{quoteList.length > 0 && (
|
||||
<MyTooltip label="查看引用">
|
||||
|
@@ -54,6 +54,7 @@ import styles from './index.module.scss';
|
||||
const textareaMinH = '22px';
|
||||
type generatingMessageProps = { text?: string; name?: string; status?: 'running' | 'finish' };
|
||||
export type StartChatFnProps = {
|
||||
chatList: ChatSiteItemType[];
|
||||
messages: MessageItemType[];
|
||||
controller: AbortController;
|
||||
variables: Record<string, any>;
|
||||
@@ -311,6 +312,7 @@ const ChatBox = (
|
||||
const messages = adaptChatItem_openAI({ messages: newChatList, reserveId: true });
|
||||
|
||||
const { responseData } = await onStartChat({
|
||||
chatList: newChatList,
|
||||
messages,
|
||||
controller: abortSignal,
|
||||
generatingMessage,
|
||||
|
@@ -26,6 +26,12 @@ const PayRecordTable = () => {
|
||||
const [payOrders, setPayOrders] = useState<PaySchema[]>([]);
|
||||
const { toast } = useToast();
|
||||
|
||||
const { isInitialLoading, refetch } = useQuery(['initPayOrder'], getPayOrders, {
|
||||
onSuccess(res) {
|
||||
setPayOrders(res);
|
||||
}
|
||||
});
|
||||
|
||||
const handleRefreshPayOrder = useCallback(
|
||||
async (payId: string) => {
|
||||
setIsLoading(true);
|
||||
@@ -36,8 +42,6 @@ const PayRecordTable = () => {
|
||||
title: data,
|
||||
status: 'success'
|
||||
});
|
||||
const res = await getPayOrders();
|
||||
setPayOrders(res);
|
||||
} catch (error: any) {
|
||||
toast({
|
||||
title: error?.message,
|
||||
@@ -45,18 +49,15 @@ const PayRecordTable = () => {
|
||||
});
|
||||
console.log(error);
|
||||
}
|
||||
try {
|
||||
refetch();
|
||||
} catch (error) {}
|
||||
|
||||
setIsLoading(false);
|
||||
},
|
||||
[setIsLoading, toast]
|
||||
[refetch, setIsLoading, toast]
|
||||
);
|
||||
|
||||
const { isInitialLoading } = useQuery(['initPayOrder'], getPayOrders, {
|
||||
onSuccess(res) {
|
||||
setPayOrders(res);
|
||||
}
|
||||
});
|
||||
|
||||
return (
|
||||
<Box position={'relative'} h={'100%'}>
|
||||
{!isInitialLoading && payOrders.length === 0 ? (
|
||||
|
@@ -4,16 +4,14 @@ import { authUser } from '@/service/utils/auth';
|
||||
import { sseErrRes } from '@/service/response';
|
||||
import { sseResponseEventEnum } from '@/constants/chat';
|
||||
import { sseResponse } from '@/service/utils/tools';
|
||||
import { type ChatCompletionRequestMessage } from 'openai';
|
||||
import { AppModuleItemType } from '@/types/app';
|
||||
import { dispatchModules } from '../openapi/v1/chat/completions';
|
||||
import { gptMessage2ChatType } from '@/utils/adapt';
|
||||
import { pushTaskBill } from '@/service/events/pushBill';
|
||||
import { BillSourceEnum } from '@/constants/user';
|
||||
import { ChatItemType } from '@/types/chat';
|
||||
|
||||
export type MessageItemType = ChatCompletionRequestMessage & { _id?: string };
|
||||
export type Props = {
|
||||
history: MessageItemType[];
|
||||
history: ChatItemType[];
|
||||
prompt: string;
|
||||
modules: AppModuleItemType[];
|
||||
variables: Record<string, any>;
|
||||
@@ -51,7 +49,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
|
||||
variables,
|
||||
user,
|
||||
params: {
|
||||
history: gptMessage2ChatType(history),
|
||||
history,
|
||||
userChatInput: prompt
|
||||
},
|
||||
stream: true,
|
||||
|
@@ -5,6 +5,7 @@ import { authUser } from '@/service/utils/auth';
|
||||
import { connectToDatabase, Chat } from '@/service/mongo';
|
||||
import { Types } from 'mongoose';
|
||||
import type { ChatItemType } from '@/types/chat';
|
||||
import { TaskResponseKeyEnum } from '@/constants/chat';
|
||||
|
||||
export type Props = {
|
||||
chatId?: string;
|
||||
@@ -55,10 +56,12 @@ export async function getChatHistory({
|
||||
{
|
||||
$project: {
|
||||
obj: '$content.obj',
|
||||
value: '$content.value'
|
||||
value: '$content.value',
|
||||
[TaskResponseKeyEnum.responseData]: `$content.responseData`
|
||||
}
|
||||
}
|
||||
]);
|
||||
console.log(history);
|
||||
|
||||
return { history };
|
||||
}
|
||||
|
@@ -38,19 +38,19 @@ const ChatTest = (
|
||||
const isOpen = useMemo(() => modules && modules.length > 0, [modules]);
|
||||
|
||||
const startChat = useCallback(
|
||||
async ({ messages, controller, generatingMessage, variables }: StartChatFnProps) => {
|
||||
async ({ chatList, controller, generatingMessage, variables }: StartChatFnProps) => {
|
||||
const historyMaxLen =
|
||||
modules
|
||||
?.find((item) => item.flowType === FlowModuleTypeEnum.historyNode)
|
||||
?.inputs?.find((item) => item.key === 'maxContext')?.value || 0;
|
||||
const history = messages.slice(-historyMaxLen - 2, -2);
|
||||
const history = chatList.slice(-historyMaxLen - 2, -2);
|
||||
|
||||
// 流请求,获取数据
|
||||
const { responseText, responseData } = await streamFetch({
|
||||
url: '/api/chat/chatTest',
|
||||
data: {
|
||||
history,
|
||||
prompt: messages[messages.length - 2].content,
|
||||
prompt: chatList[chatList.length - 2].value,
|
||||
modules,
|
||||
variables,
|
||||
appId: app._id,
|
||||
|
@@ -572,19 +572,19 @@ const ChatTest = ({ appId }: { appId: string }) => {
|
||||
const [modules, setModules] = useState<AppModuleItemType[]>([]);
|
||||
|
||||
const startChat = useCallback(
|
||||
async ({ messages, controller, generatingMessage, variables }: StartChatFnProps) => {
|
||||
async ({ chatList, controller, generatingMessage, variables }: StartChatFnProps) => {
|
||||
const historyMaxLen =
|
||||
modules
|
||||
?.find((item) => item.flowType === FlowModuleTypeEnum.historyNode)
|
||||
?.inputs?.find((item) => item.key === 'maxContext')?.value || 0;
|
||||
const history = messages.slice(-historyMaxLen - 2, -2);
|
||||
const history = chatList.slice(-historyMaxLen - 2, -2);
|
||||
|
||||
// 流请求,获取数据
|
||||
const { responseText, responseData } = await streamFetch({
|
||||
url: '/api/chat/chatTest',
|
||||
data: {
|
||||
history,
|
||||
prompt: messages[messages.length - 2].content,
|
||||
prompt: chatList[chatList.length - 2].value,
|
||||
modules,
|
||||
variables,
|
||||
appId,
|
||||
|
@@ -63,6 +63,7 @@ export const dispatchChatCompletion = async (props: Record<string, any>): Promis
|
||||
}
|
||||
|
||||
const { filterQuoteQA, quotePrompt } = filterQuote({
|
||||
history,
|
||||
quoteQA,
|
||||
model: modelConstantsData
|
||||
});
|
||||
@@ -181,23 +182,32 @@ export const dispatchChatCompletion = async (props: Record<string, any>): Promis
|
||||
};
|
||||
|
||||
function filterQuote({
|
||||
history = [],
|
||||
quoteQA = [],
|
||||
model
|
||||
}: {
|
||||
history: ChatProps['history'];
|
||||
quoteQA: ChatProps['quoteQA'];
|
||||
model: ChatModelItemType;
|
||||
}) {
|
||||
// concat history quote
|
||||
const historyQuote =
|
||||
history[history.length - 1]?.responseData
|
||||
?.find((item) => item.moduleName === ChatModuleEnum.AIChat)
|
||||
?.quoteList?.filter((item) => !quoteQA.find((quote) => quote.id === item.id)) || [];
|
||||
const concatQuote = quoteQA.concat(historyQuote.slice(0, 3));
|
||||
|
||||
const sliceResult = modelToolMap.tokenSlice({
|
||||
model: model.model,
|
||||
maxToken: model.quoteMaxToken,
|
||||
messages: quoteQA.map((item, i) => ({
|
||||
messages: concatQuote.map((item, i) => ({
|
||||
obj: ChatRoleEnum.System,
|
||||
value: item.a ? `{instruction:${item.q},output:${item.a}}` : `{instruction:${item.q}}`
|
||||
}))
|
||||
});
|
||||
|
||||
// slice filterSearch
|
||||
const filterQuoteQA = quoteQA.slice(0, sliceResult.length);
|
||||
const filterQuoteQA = concatQuote.slice(0, sliceResult.length);
|
||||
|
||||
const quotePrompt =
|
||||
filterQuoteQA.length > 0
|
||||
|
@@ -9,7 +9,6 @@ import { PgTrainingTableName } from '@/constants/plugin';
|
||||
|
||||
type KBSearchProps = {
|
||||
kbList: SelectedKbType;
|
||||
history: ChatItemType[];
|
||||
similarity: number;
|
||||
limit: number;
|
||||
userChatInput: string;
|
||||
@@ -22,13 +21,7 @@ export type KBSearchResponse = {
|
||||
};
|
||||
|
||||
export async function dispatchKBSearch(props: Record<string, any>): Promise<KBSearchResponse> {
|
||||
const {
|
||||
kbList = [],
|
||||
history = [],
|
||||
similarity = 0.8,
|
||||
limit = 5,
|
||||
userChatInput
|
||||
} = props as KBSearchProps;
|
||||
const { kbList = [], similarity = 0.8, limit = 5, userChatInput } = props as KBSearchProps;
|
||||
|
||||
if (kbList.length === 0) {
|
||||
return Promise.reject("You didn't choose the knowledge base");
|
||||
|
Reference in New Issue
Block a user