* feat: retry send * perf: qa default value * feat: dataset folder * feat: kb folder delete and path * fix: ts * perf: script load * feat: fileCard and dataCard * feat: search file * feat: max token * feat: select dataset * fix: preview chunk * perf: source update * export data limit file_id * docs * fix: export limit
112 lines
3.2 KiB
TypeScript
112 lines
3.2 KiB
TypeScript
import { useEffect, useState } from 'react';
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import type { AppProps } from 'next/app';
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import Script from 'next/script';
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import Head from 'next/head';
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import { ChakraProvider, ColorModeScript } from '@chakra-ui/react';
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import Layout from '@/components/Layout';
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import { theme } from '@/constants/theme';
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import { QueryClient, QueryClientProvider } from '@tanstack/react-query';
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import NProgress from 'nprogress'; //nprogress module
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import Router from 'next/router';
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import { clientInitData, feConfigs } from '@/store/static';
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import { appWithTranslation, useTranslation } from 'next-i18next';
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import { getLangStore, setLangStore } from '@/utils/i18n';
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import { useRouter } from 'next/router';
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import { useGlobalStore } from '@/store/global';
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import 'nprogress/nprogress.css';
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import '@/styles/reset.scss';
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import { FeConfigsType } from '@/types';
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//Binding events.
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Router.events.on('routeChangeStart', () => NProgress.start());
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Router.events.on('routeChangeComplete', () => NProgress.done());
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Router.events.on('routeChangeError', () => NProgress.done());
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// Create a client
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const queryClient = new QueryClient({
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defaultOptions: {
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queries: {
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refetchOnWindowFocus: false,
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retry: false,
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cacheTime: 10
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}
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}
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});
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function App({ Component, pageProps }: AppProps) {
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const router = useRouter();
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const { hiId } = router.query as { hiId?: string };
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const { i18n } = useTranslation();
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const { setLastRoute } = useGlobalStore();
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const [scripts, setScripts] = useState<FeConfigsType['scripts']>([]);
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useEffect(() => {
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// get init data
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(async () => {
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const {
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feConfigs: { scripts }
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} = await clientInitData();
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setScripts(scripts || []);
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})();
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// add window error track
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window.onerror = function (msg, url) {
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window.umami?.track('windowError', {
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device: {
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userAgent: navigator.userAgent,
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platform: navigator.platform,
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appName: navigator.appName
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},
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msg,
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url
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});
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};
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return () => {
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window.onerror = null;
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};
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}, []);
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useEffect(() => {
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hiId && localStorage.setItem('inviterId', hiId);
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}, [hiId]);
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useEffect(() => {
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const lang = getLangStore() || 'zh';
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i18n?.changeLanguage?.(lang);
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setLangStore(lang);
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return () => {
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setLastRoute(router.asPath);
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};
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}, [router.asPath]);
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return (
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<>
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<Head>
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<title>{feConfigs?.systemTitle || 'AI'}</title>
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<meta name="description" content="Embedding + LLM, Build AI knowledge base" />
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<meta
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name="viewport"
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content="width=device-width,initial-scale=1.0,maximum-scale=1.0,minimum-scale=1.0,user-scalable=no, viewport-fit=cover"
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/>
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<link rel="icon" href="/favicon.ico" />
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</Head>
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{scripts?.map((item, i) => (
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<Script key={i} strategy="lazyOnload" {...item}></Script>
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))}
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<QueryClientProvider client={queryClient}>
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<ChakraProvider theme={theme}>
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<ColorModeScript initialColorMode={theme.config.initialColorMode} />
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<Layout>
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<Component {...pageProps} />
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</Layout>
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</ChakraProvider>
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</QueryClientProvider>
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</>
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);
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}
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export default appWithTranslation(App);
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