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超级无敌帅气到爆炸起飞的更新
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cc
xuncha
391
src/pages/AIChatPage.tsx
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391
src/pages/AIChatPage.tsx
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import { useState, useEffect, useRef, useCallback } from 'react'
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import { Send, Bot, User, Cpu, ChevronDown, Loader2 } from 'lucide-react'
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import { Virtuoso, VirtuosoHandle } from 'react-virtuoso'
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import { engineService, PRESET_MODELS, ModelInfo } from '../services/EngineService'
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import { MessageBubble } from '../components/MessageBubble'
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import './AIChatPage.scss'
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interface ChatMessage {
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id: string;
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role: 'user' | 'ai';
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content: string;
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timestamp: number;
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}
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// 消息数量限制，避免内存过载
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const MAX_MESSAGES = 200
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export default function AIChatPage() {
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const [input, setInput] = useState('')
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const [messages, setMessages] = useState<ChatMessage[]>([])
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const [isTyping, setIsTyping] = useState(false)
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const [models, setModels] = useState<ModelInfo[]>([...PRESET_MODELS])
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const [selectedModel, setSelectedModel] = useState<string | null>(null)
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const [modelLoaded, setModelLoaded] = useState(false)
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const [loadingModel, setLoadingModel] = useState(false)
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const [isThinkingMode, setIsThinkingMode] = useState(true)
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const [showModelDropdown, setShowModelDropdown] = useState(false)
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const textareaRef = useRef<HTMLTextAreaElement>(null)
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const virtuosoRef = useRef<VirtuosoHandle>(null)
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const dropdownRef = useRef<HTMLDivElement>(null)
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// 流式渲染优化：使用 ref 缓存内容，使用 RAF 批量更新
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const streamingContentRef = useRef('')
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const streamingMessageIdRef = useRef<string | null>(null)
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const rafIdRef = useRef<number | null>(null)
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useEffect(() => {
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checkModelsStatus()
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// 初始化Llama服务（延迟初始化，用户进入此页面时启动）
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const initLlama = async () => {
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try {
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await window.electronAPI.llama?.init()
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console.log('[AIChatPage] Llama service initialized')
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} catch (e) {
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console.error('[AIChatPage] Failed to initialize Llama:', e)
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}
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}
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initLlama()
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// 清理函数：组件卸载时释放所有资源
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return () => {
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// 取消未完成的 RAF
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if (rafIdRef.current !== null) {
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cancelAnimationFrame(rafIdRef.current)
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rafIdRef.current = null
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}
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// 清理 engine service 的回调引用
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engineService.clearCallbacks()
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}
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}, [])
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// 监听页面卸载事件，确保资源释放
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useEffect(() => {
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const handleBeforeUnload = () => {
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// 清理回调和监听器
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engineService.dispose()
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}
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window.addEventListener('beforeunload', handleBeforeUnload)
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return () => window.removeEventListener('beforeunload', handleBeforeUnload)
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}, [])
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// 点击外部关闭下拉框
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useEffect(() => {
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const handleClickOutside = (event: MouseEvent) => {
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if (dropdownRef.current && !dropdownRef.current.contains(event.target as Node)) {
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setShowModelDropdown(false)
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}
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}
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document.addEventListener('mousedown', handleClickOutside)
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return () => document.removeEventListener('mousedown', handleClickOutside)
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}, [])
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const scrollToBottom = useCallback(() => {
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// 使用 virtuoso 的 scrollToIndex 方法滚动到底部
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if (virtuosoRef.current && messages.length > 0) {
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virtuosoRef.current.scrollToIndex({
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index: messages.length - 1,
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behavior: 'smooth'
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})
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}
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}, [messages.length])
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const checkModelsStatus = async () => {
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const updatedModels = await Promise.all(models.map(async (m) => {
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const exists = await engineService.checkModelExists(m.path)
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return { ...m, downloaded: exists }
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}))
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setModels(updatedModels)
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// Auto-select first available model
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if (!selectedModel) {
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const available = updatedModels.find(m => m.downloaded)
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if (available) {
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setSelectedModel(available.path)
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}
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}
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}
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// 自动加载模型
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const handleLoadModel = async (modelPath?: string) => {
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const pathToLoad = modelPath || selectedModel
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if (!pathToLoad) return false
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setLoadingModel(true)
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try {
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await engineService.loadModel(pathToLoad)
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// Initialize session with system prompt
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await engineService.createSession("You are a helpful AI assistant.")
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setModelLoaded(true)
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return true
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} catch (e) {
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console.error("Load failed", e)
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alert("模型加载失败: " + String(e))
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return false
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} finally {
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setLoadingModel(false)
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}
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}
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// 选择模型（如果有多个）
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const handleSelectModel = (modelPath: string) => {
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setSelectedModel(modelPath)
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setShowModelDropdown(false)
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}
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// 获取可用的已下载模型
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const availableModels = models.filter(m => m.downloaded)
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const selectedModelInfo = models.find(m => m.path === selectedModel)
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// 优化的流式更新函数：使用 RAF 批量更新
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const updateStreamingMessage = useCallback(() => {
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if (!streamingMessageIdRef.current) return
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setMessages(prev => prev.map(msg =>
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msg.id === streamingMessageIdRef.current
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? { ...msg, content: streamingContentRef.current }
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: msg
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))
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rafIdRef.current = null
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}, [])
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// Token 回调：使用 RAF 批量更新 UI
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const handleToken = useCallback((token: string) => {
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streamingContentRef.current += token
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// 使用 requestAnimationFrame 批量更新，避免频繁渲染
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if (rafIdRef.current === null) {
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rafIdRef.current = requestAnimationFrame(updateStreamingMessage)
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}
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}, [updateStreamingMessage])
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const handleSend = async () => {
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if (!input.trim() || isTyping) return
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// 如果模型未加载，先自动加载
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if (!modelLoaded) {
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if (!selectedModel) {
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alert("请先下载模型（设置页面）")
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return
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}
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const loaded = await handleLoadModel()
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if (!loaded) return
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}
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const userMsg: ChatMessage = {
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id: Date.now().toString(),
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role: 'user',
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content: input,
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timestamp: Date.now()
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}
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setMessages(prev => {
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const newMessages = [...prev, userMsg]
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// 限制消息数量，避免内存过载
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return newMessages.length > MAX_MESSAGES
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? newMessages.slice(-MAX_MESSAGES)
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: newMessages
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})
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setInput('')
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setIsTyping(true)
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// Reset textarea height
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if (textareaRef.current) {
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textareaRef.current.style.height = 'auto'
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}
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const aiMsgId = (Date.now() + 1).toString()
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streamingContentRef.current = ''
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streamingMessageIdRef.current = aiMsgId
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// Optimistic update for AI message start
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setMessages(prev => {
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const newMessages = [...prev, {
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id: aiMsgId,
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role: 'ai' as const,
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content: '',
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timestamp: Date.now()
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}]
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return newMessages.length > MAX_MESSAGES
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? newMessages.slice(-MAX_MESSAGES)
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: newMessages
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})
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// Append thinking command based on mode
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const msgWithSuffix = input + (isThinkingMode ? " /think" : " /no_think")
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try {
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await engineService.chat(msgWithSuffix, handleToken, { thinking: isThinkingMode })
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} catch (e) {
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console.error("Chat failed", e)
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setMessages(prev => [...prev, {
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id: Date.now().toString(),
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role: 'ai',
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content: "❌ Error: Failed to get response from AI.",
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timestamp: Date.now()
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}])
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} finally {
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setIsTyping(false)
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streamingMessageIdRef.current = null
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// 确保最终状态同步
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if (rafIdRef.current !== null) {
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cancelAnimationFrame(rafIdRef.current)
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updateStreamingMessage()
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}
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}
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}
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// 渲染模型选择按钮（集成在输入框作为下拉项）
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const renderModelSelector = () => {
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// 没有可用模型
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if (availableModels.length === 0) {
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return (
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<button
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className="model-btn disabled"
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title="请先在设置页面下载模型"
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>
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<Bot size={16} />
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<span>无模型</span>
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</button>
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)
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}
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// 只有一个模型，直接显示
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if (availableModels.length === 1) {
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return (
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<button
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className={`model-btn ${modelLoaded ? 'loaded' : ''} ${loadingModel ? 'loading' : ''}`}
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title={modelLoaded ? "模型已就绪" : "发送消息时自动加载"}
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>
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{loadingModel ? (
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<Loader2 size={16} className="spin" />
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) : (
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<Bot size={16} />
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)}
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<span>{loadingModel ? '加载中' : selectedModelInfo?.name || '模型'}</span>
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</button>
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)
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}
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// 多个模型，显示下拉选择
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return (
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<div className="model-selector" ref={dropdownRef}>
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<button
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className={`model-btn ${modelLoaded ? 'loaded' : ''} ${loadingModel ? 'loading' : ''}`}
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onClick={() => !loadingModel && setShowModelDropdown(!showModelDropdown)}
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title="点击选择模型"
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>
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{loadingModel ? (
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<Loader2 size={16} className="spin" />
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) : (
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<Bot size={16} />
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)}
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<span>{loadingModel ? '加载中' : selectedModelInfo?.name || '选择模型'}</span>
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<ChevronDown size={13} className={showModelDropdown ? 'rotate' : ''} />
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</button>
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{showModelDropdown && (
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<div className="model-dropdown">
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{availableModels.map(model => (
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<div
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key={model.path}
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className={`model-option ${selectedModel === model.path ? 'active' : ''}`}
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onClick={() => handleSelectModel(model.path)}
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>
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<span>{model.name}</span>
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{selectedModel === model.path && (
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<span className="check">✓</span>
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)}
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</div>
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))}
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</div>
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)}
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</div>
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)
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}
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return (
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<div className="ai-chat-page">
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<div className="chat-main">
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{messages.length === 0 ? (
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<div className="empty-state">
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<div className="icon">
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<Bot size={40} />
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</div>
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<h2>AI 为你服务</h2>
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<p>
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{availableModels.length === 0
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? "请先在设置页面下载模型"
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: "输入消息开始对话，模型将自动加载"
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}
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</p>
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</div>
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) : (
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<Virtuoso
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ref={virtuosoRef}
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data={messages}
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className="messages-list"
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initialTopMostItemIndex={messages.length - 1}
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followOutput="smooth"
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itemContent={(index, message) => (
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<MessageBubble key={message.id} message={message} />
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)}
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components={{
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Footer: () => <div className="list-spacer" />
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}}
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/>
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)}
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<div className="input-area">
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<div className="input-wrapper">
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<textarea
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ref={textareaRef}
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value={input}
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onChange={e => {
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setInput(e.target.value)
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e.target.style.height = 'auto'
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e.target.style.height = `${Math.min(e.target.scrollHeight, 120)}px`
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}}
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onKeyDown={e => {
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if (e.key === 'Enter' && !e.shiftKey) {
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e.preventDefault()
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handleSend()
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// Reset height after send
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if (textareaRef.current) textareaRef.current.style.height = 'auto'
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}
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}}
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placeholder={availableModels.length === 0 ? "请先下载模型..." : "输入消息..."}
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disabled={availableModels.length === 0 || loadingModel}
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rows={1}
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/>
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<div className="input-actions">
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{renderModelSelector()}
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<button
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className={`mode-toggle ${isThinkingMode ? 'active' : ''}`}
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onClick={() => setIsThinkingMode(!isThinkingMode)}
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title={isThinkingMode ? "深度思考模式已开启" : "深度思考模式已关闭"}
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disabled={availableModels.length === 0}
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>
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<Cpu size={18} />
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</button>
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<button
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className="send-btn"
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onClick={handleSend}
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disabled={!input.trim() || availableModels.length === 0 || isTyping || loadingModel}
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>
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<Send size={18} />
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</button>
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</div>
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</div>
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</div>
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</div>
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</div>
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)
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}
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Reference in New Issue
Block a user