194 lines
8.7 KiB
TypeScript
194 lines
8.7 KiB
TypeScript
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import React, { useState, useEffect, useRef } from 'react';
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import { CurrentView } from '../types';
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import { NAVIGABLE_VIEWS } from '../constants';
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import { ArrowUpIcon } from './icons';
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const PLACEHOLDERS = [
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"Создайте мне сайт для моего бизнеса",
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"Какие у вас есть вакансии?",
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"Расскажите о ваших услугах для бизнеса",
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"Мне нужно мобильное приложение",
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"Что такое ваш ИИ-акселератор?",
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"Я хочу научиться ИИ",
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"Покажите ваши последние исследования"
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];
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interface ChatInputProps {
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setCurrentView: (view: CurrentView) => void;
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isSticky?: boolean;
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autoFocusOnMount?: boolean;
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}
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const ChatInput: React.FC<ChatInputProps> = ({ setCurrentView, isSticky = false, autoFocusOnMount = false }) => {
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const [prompt, setPrompt] = useState('');
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const [isLoading, setIsLoading] = useState(false);
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const [error, setError] = useState<string | null>(null);
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const [currentPlaceholderIndex, setCurrentPlaceholderIndex] = useState(0);
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const textareaRef = useRef<HTMLTextAreaElement>(null);
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useEffect(() => {
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const interval = setInterval(() => {
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setCurrentPlaceholderIndex((prevIndex) => (prevIndex + 1) % PLACEHOLDERS.length);
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}, 5000); // Change placeholder every 5 seconds
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return () => clearInterval(interval);
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}, []);
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useEffect(() => {
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if (textareaRef.current) {
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textareaRef.current.style.height = 'auto';
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textareaRef.current.style.height = `${textareaRef.current.scrollHeight}px`;
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}
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}, [prompt]);
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useEffect(() => {
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if (autoFocusOnMount && textareaRef.current) {
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// Small timeout to ensure the element is fully visible and transitions are complete before focusing
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const timer = setTimeout(() => {
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textareaRef.current?.focus();
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}, 100);
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return () => clearTimeout(timer);
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}
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}, [autoFocusOnMount]);
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const handleSubmit = async (e: React.FormEvent) => {
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e.preventDefault();
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if (!prompt.trim() || isLoading) return;
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setIsLoading(true);
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setError(null);
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const validViewsString = NAVIGABLE_VIEWS.join(', ');
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const systemInstruction = `You are an expert navigation assistant for a website. Your task is to analyze the user's query and determine which section of the website they want to visit. Respond ONLY with a JSON object containing a single key "view". The possible values for "view" are: ${validViewsString}.
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Here are some examples of user queries and your expected JSON response:
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- "I want to see your work" -> {"view": "storiesAll"}
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- "Do you have any jobs?" -> {"view": "careers"}
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- "What services do you offer for businesses?" -> {"view": "businessServices"}
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- "I need a website" or "I need a program" -> {"view": "businessServices"}
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- "Tell me about your company" -> {"view": "about"}
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- "How can I contact you?" -> {"view": "main"}
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- "What AI research do you do?" -> {"view": "researchAll"}
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- "I want to learn AI" -> {"view": "educationStudents"}
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- "I have an idea" or "I have a project" -> {"view": "acceleratorAbout"}
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- "Do you have an accelerator?" -> {"view": "acceleratorAbout"}
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If the user's query is about having an idea or a project they want to develop, direct them to the accelerator. If they explicitly want to order a service like a website or an app, direct them to business services.
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If the user's query is unclear or doesn't map to a specific view, respond with {"view": "main"}.
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Your entire response must be only the JSON object, with no other text, explanation, or markdown formatting.`;
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try {
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const response = await fetch('https://ai.iieasy.ru/v1/chat/completions', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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model: 'local-model',
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messages: [
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{ role: 'system', content: systemInstruction },
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{ role: 'user', content: prompt }
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],
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temperature: 0.1,
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}),
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});
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if (!response.ok) {
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throw new Error(`Ошибка сети: ${response.status} ${response.statusText}. Убедитесь, что сервер LM Studio запущен.`);
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}
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const data = await response.json();
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if (data.error) {
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throw new Error(`LM Studio вернула ошибку: ${data.error.message}`);
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}
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const responseJsonString = data.choices?.[0]?.message?.content;
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if (!responseJsonString) {
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throw new Error("LM Studio вернула пустой ответ.");
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}
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// More robust JSON extraction
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let parsedData = null;
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const jsonMatch = responseJsonString.match(/\{[\s\S]*\}/);
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if (jsonMatch) {
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try {
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parsedData = JSON.parse(jsonMatch[0]);
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} catch (e) {
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// JSON might be invalid, fall through to error
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console.error("Failed to parse JSON from response:", e);
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}
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}
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if (parsedData && parsedData.view && NAVIGABLE_VIEWS.includes(parsedData.view as any)) {
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setCurrentView(parsedData.view);
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} else {
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setError("К сожалению, я не смог понять ваш запрос. Попробуйте переформулировать.");
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}
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} catch (err: any) {
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console.error("Ошибка при обращении к LM Studio:", err);
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setError(err.message || "Произошла ошибка. Убедитесь, что сервер LM Studio запущен и модель загружена. Пожалуйста, попробуйте еще раз.");
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} finally {
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setIsLoading(false);
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}
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};
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const wrapperClasses = isSticky ? "" : "relative z-10 mx-auto w-full max-w-3xl";
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const baseLabelClasses = "relative flex w-full cursor-text flex-col overflow-hidden rounded-3xl py-3 pl-4 pr-14 transition-all duration-300";
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const nonStickyLabelClasses = "border border-slate-200 bg-white shadow-sm focus-within:shadow-md";
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const stickyLabelClasses = "border border-slate-300 bg-white/80 shadow-lg backdrop-blur-xl focus-within:shadow-xl";
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const labelClasses = `${baseLabelClasses} ${isSticky ? stickyLabelClasses : nonStickyLabelClasses}`;
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return (
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<div className={wrapperClasses}>
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<form onSubmit={handleSubmit} className="relative">
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<label className={labelClasses}>
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<div className={`text-slate-400 min-h-[24px] pointer-events-none absolute left-0 top-0 w-full select-none px-4 pt-[18px] text-base transition-opacity duration-200 ${prompt ? 'opacity-0' : 'opacity-100'}`} aria-hidden={!!prompt}>
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<div className="transition-transform ease-in-out duration-300" style={{ transform: `translateY(-${currentPlaceholderIndex * 1.5}rem)` }}>
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{PLACEHOLDERS.map((text, index) => (
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<div key={index} className={`overflow-hidden text-ellipsis whitespace-nowrap transition-opacity duration-300 ${currentPlaceholderIndex === index ? 'opacity-100' : 'opacity-0'}`}>
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{text}
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</div>
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))}
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</div>
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</div>
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<textarea
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ref={textareaRef}
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value={prompt}
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onChange={(e) => setPrompt(e.target.value)}
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onKeyDown={(e) => { if (e.key === 'Enter' && !e.shiftKey) handleSubmit(e); }}
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className="w-full resize-none bg-transparent text-base focus:outline-none text-slate-800"
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rows={1}
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style={{ minHeight: '24px' }}
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aria-label="Задайте ваш вопрос"
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/>
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</label>
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<div className="absolute bottom-2 right-2 mt-auto flex justify-end">
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<button
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className="bg-slate-800 text-white disabled:bg-slate-200 disabled:text-slate-400 relative h-10 w-10 rounded-full p-0 transition-colors hover:bg-black disabled:hover:bg-slate-200 flex items-center justify-center"
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type="submit"
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disabled={!prompt.trim() || isLoading}
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aria-label="Отправить запрос"
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>
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{isLoading ? (
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<svg className="animate-spin h-5 w-5 text-white" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24">
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<circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4"></circle>
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<path className="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"></path>
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</svg>
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) : (
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<ArrowUpIcon className="w-5 h-5" />
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)}
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</button>
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</div>
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</form>
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{error && <p className="mt-2 text-center text-sm text-red-600">{error}</p>}
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</div>
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);
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};
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export default ChatInput;
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