mirror of
https://github.com/labring/FastGPT.git
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ts
This commit is contained in:
archer
@@ -1,6 +1,7 @@
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### 常见问题
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**Git 地址**: [项目地址。V4-beta 暂为开源，在正式版发布后会开源。](https://github.com/c121914yu/FastGPT)
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**反馈问卷**: 如果你遇到任何使用问题或有期望的功能，可以[填写该问卷](https://www.wjx.cn/vm/rLIw1uD.aspx#)
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**Git 地址**: [项目地址。V4-preview 暂为开源，在正式版发布后会开源。](https://github.com/c121914yu/FastGPT)
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**问题文档**: [先看文档，再提问](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
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**价格表**
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| 计费项 | 价格: 元/ 1K tokens（包含上下文）|
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@@ -1,12 +1,5 @@
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### Fast GPT V4.0-beta
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### Fast GPT V4.0-preview
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<<<<<<< HEAD
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1. 新增 - 直接分段训练，可调节段落大小。
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2. 优化 - tokens 计算性能。
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3. 优化 - key 池管理，结合 one-api 项目，实现更方便的 key 池管理，具体参考[docker 部署 FastGpt](https://github.com/labring/FastGPT/blob/main/docs/deploy/docker.md)
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4. 新增 - V2 版 OpenAPI，可以在任意第三方套壳 ChatGpt 项目中直接使用 FastGpt 的应用，注意！是直接，不需要改任何代码。具体参考[API 文档中《在第三方应用中使用 FastGpt》](https://kjqvjse66l.feishu.cn/docx/DmLedTWtUoNGX8xui9ocdUEjnNh)
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=======
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1. 全新交互，采用模块组合的方式构建知识库。
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2. 问题分类 - 可以对用户的问题进行分类，再执行不同的操作。
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3. beta 版本尚未稳定，请以测试为主。详细使用文档后续会补上。
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>>>>>>> 5f8a88d (flow chat)
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@@ -7,5 +7,6 @@ export const defaultKbDetail: KbItemType = {
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avatar: '/icon/logo.png',
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name: '',
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tags: '',
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totalData: 0
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totalData: 0,
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model: 'text-embedding-ada-002'
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};
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@@ -4,12 +4,9 @@ import { UserAuthTypeEnum } from '@/constants/common';
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let timer: any;
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import { useToast } from './useToast';
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import { getClientToken } from '@/utils/plugin/google';
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import { useGlobalStore } from '@/store/global';
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import { googleVerKey } from '@/store/static';
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export const useSendCode = () => {
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const {
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initData: { googleVerKey }
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} = useGlobalStore();
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const { toast } = useToast();
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const [codeSending, setCodeSending] = useState(false);
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const [codeCountDown, setCodeCountDown] = useState(0);
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@@ -54,7 +51,7 @@ export const useSendCode = () => {
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}
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setCodeSending(false);
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},
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[googleVerKey, toast]
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[toast]
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);
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return {
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@@ -3,7 +3,7 @@ import type { NextApiRequest, NextApiResponse } from 'next';
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import { jsonRes } from '@/service/response';
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import { authUser, getSystemOpenAiKey } from '@/service/utils/auth';
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import axios from 'axios';
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import { axiosConfig } from '@/service/utils/tools';
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import { axiosConfig } from '@/service/ai/openai';
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export type Props = {
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input: string;
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@@ -33,7 +33,7 @@ export async function sensitiveCheck({ input }: Props) {
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}
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const response = await axios({
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...axiosConfig(getSystemOpenAiKey()),
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...axiosConfig(),
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method: 'POST',
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url: `/moderations`,
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data: {
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@@ -17,6 +17,7 @@ export async function updateSystemEnv() {
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...global.systemEnv,
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...res
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};
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console.log(global.systemEnv);
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} catch (error) {
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console.log('update system env error');
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}
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@@ -29,7 +29,7 @@ const AppDetail = ({ currentTab }: { currentTab: `${TabEnum}` }) => {
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const router = useRouter();
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const theme = useTheme();
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const { appId } = router.query as { appId: string };
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const { appDetail = defaultApp } = useUserStore();
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const { appDetail = defaultApp, clearAppModules } = useUserStore();
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const setCurrentTab = useCallback(
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(tab: `${TabEnum}`) => {
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@@ -53,16 +53,17 @@ const AppDetail = ({ currentTab }: { currentTab: `${TabEnum}` }) => {
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[]
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);
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// useEffect(() => {
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// window.onbeforeunload = (e) => {
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// e.preventDefault();
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// e.returnValue = '内容已修改，确认离开页面吗？';
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// };
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useEffect(() => {
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window.onbeforeunload = (e) => {
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e.preventDefault();
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e.returnValue = '内容已修改，确认离开页面吗？';
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};
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// return () => {
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// window.onbeforeunload = null;
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// };
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// }, []);
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return () => {
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window.onbeforeunload = null;
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clearAppModules();
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};
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}, []);
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return (
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<PageContainer>
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@@ -97,7 +97,6 @@ const QAImport = ({ kbId }: { kbId: string }) => {
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}
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return '';
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})();
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console.log(extension, text, '=====', icon);
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if (icon && text) {
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const splitRes = splitText_token({
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@@ -8,7 +8,7 @@ import type { ResLogin } from '@/api/response/user';
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import { useToast } from '@/hooks/useToast';
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import { useRouter } from 'next/router';
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import { postCreateApp } from '@/api/app';
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import { chatAppDemo } from '@/constants/app';
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import { appTemplates } from '@/constants/flow/ModuleTemplate';
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interface Props {
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loginSuccess: (e: ResLogin) => void;
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@@ -65,9 +65,12 @@ const RegisterForm = ({ setPageType, loginSuccess }: Props) => {
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status: 'success'
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});
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// aut register a model
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postCreateApp({
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name: '应用1',
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modules: chatAppDemo.modules
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appTemplates.forEach((template) => {
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postCreateApp({
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avatar: template.avatar,
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name: template.name,
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modules: template.modules
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});
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});
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} catch (error: any) {
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toast({
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@@ -1,13 +1,15 @@
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import { Configuration, OpenAIApi } from 'openai';
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const baseUrl = process.env.ONEAPI_URL || process.env.OPENAI_BASE_URL || 'api.openai.com';
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export const getSystemOpenAiKey = () => {
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return process.env.ONEAPI_KEY || '';
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return process.env.ONEAPI_KEY || process.env.OPENAIKEY || '';
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};
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export const getOpenAIApi = () => {
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return new OpenAIApi(
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new Configuration({
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basePath: process.env.ONEAPI_URL
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basePath: baseUrl
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})
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);
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};
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@@ -15,7 +17,7 @@ export const getOpenAIApi = () => {
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/* openai axios config */
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export const axiosConfig = () => {
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return {
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baseURL: process.env.ONEAPI_URL, // 此处仅对非 npm 模块有效
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baseURL: baseUrl, // 此处仅对非 npm 模块有效
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httpsAgent: global.httpsAgent,
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headers: {
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Authorization: `Bearer ${getSystemOpenAiKey()}`,
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@@ -1,9 +1,5 @@
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import { TrainingData } from '@/service/mongo';
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import { OpenAiChatEnum } from '@/constants/model';
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import { pushSplitDataBill } from '@/service/events/pushBill';
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import { openaiAccountError } from '../errorCode';
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import { ChatRoleEnum } from '@/constants/chat';
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import { BillSourceEnum } from '@/constants/user';
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import { pushDataToKb } from '@/pages/api/openapi/kb/pushData';
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import { TrainingModeEnum } from '@/constants/plugin';
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import { ERROR_ENUM } from '../errorCode';
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@@ -22,6 +22,7 @@ type State = {
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loadMyModels: () => Promise<null>;
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appDetail: AppSchema;
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loadAppDetail: (id: string, init?: boolean) => Promise<AppSchema>;
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clearAppModules(): void;
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// kb
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myKbList: KbListItemType[];
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loadKbList: () => Promise<any>;
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@@ -78,6 +79,14 @@ export const useUserStore = create<State>()(
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});
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return res;
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},
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clearAppModules() {
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set((state) => {
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state.appDetail = {
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...state.appDetail,
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modules: []
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};
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});
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},
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myKbList: [],
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async loadKbList() {
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const res = await getKbList();
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@@ -2,11 +2,11 @@ import axios from 'axios';
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import { Obj2Query } from '../tools';
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export const getClientToken = (googleVerKey: string) => {
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if (typeof grecaptcha === 'undefined' || !grecaptcha?.ready) return '';
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if (typeof window.grecaptcha === 'undefined' || !window.grecaptcha?.ready) return '';
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return new Promise<string>((resolve, reject) => {
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grecaptcha.ready(async () => {
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window.grecaptcha.ready(async () => {
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try {
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const token = await grecaptcha.execute(googleVerKey, {
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const token = await window.grecaptcha.execute(googleVerKey, {
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action: 'submit'
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});
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resolve(token);
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