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