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修复实时更新偶发失效的问题；删除AI对话有关组件与依赖
This commit is contained in:
cc
@@ -22,7 +22,6 @@ import SnsPage from './pages/SnsPage'
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import ContactsPage from './pages/ContactsPage'
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import ChatHistoryPage from './pages/ChatHistoryPage'
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import NotificationWindow from './pages/NotificationWindow'
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import AIChatPage from './pages/AIChatPage'
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import { useAppStore } from './stores/appStore'
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import { themes, useThemeStore, type ThemeId, type ThemeMode } from './stores/themeStore'
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@@ -457,7 +456,7 @@ function App() {
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<Route path="/" element={<HomePage />} />
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<Route path="/home" element={<HomePage />} />
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<Route path="/chat" element={<ChatPage />} />
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<Route path="/ai-chat" element={<AIChatPage />} />
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<Route path="/analytics" element={<AnalyticsWelcomePage />} />
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<Route path="/analytics/view" element={<AnalyticsPage />} />
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<Route path="/group-analytics" element={<GroupAnalyticsPage />} />
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@@ -14,7 +14,6 @@ export function GlobalSessionMonitor() {
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} = useChatStore()
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const sessionsRef = useRef(sessions)
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// 保持 ref 同步
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useEffect(() => {
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sessionsRef.current = sessions
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@@ -47,9 +46,10 @@ export function GlobalSessionMonitor() {
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return () => {
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removeListener()
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}
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} else {
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}
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return () => { }
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}, []) // 空依赖数组 - 主要是静态的
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}, [])
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const refreshSessions = async () => {
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try {
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@@ -1,552 +0,0 @@
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// AI 对话页面 - 简约大气风格
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.ai-chat-page {
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display: flex;
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height: 100%;
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width: 100%;
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background: var(--bg-gradient);
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color: var(--text-primary);
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overflow: hidden;
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.chat-container {
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flex: 1;
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display: flex;
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flex-direction: column;
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max-width: 1200px;
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margin: 0 auto;
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width: 100%;
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}
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// ========== 顶部 Header - 已移除 ==========
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// 模型选择器现已集成到输入框
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// ========== 聊天区域 ==========
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.chat-main {
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flex: 1;
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display: flex;
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flex-direction: column;
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background: var(--bg-secondary);
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position: relative;
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overflow: hidden;
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// 空状态
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.empty-state {
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flex: 1;
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display: flex;
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flex-direction: column;
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align-items: center;
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justify-content: center;
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padding: 40px;
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.icon {
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width: 80px;
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height: 80px;
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border-radius: 50%;
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background: var(--primary-light);
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display: flex;
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align-items: center;
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justify-content: center;
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margin-bottom: 24px;
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svg {
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width: 40px;
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height: 40px;
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color: var(--primary);
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}
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}
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h2 {
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font-size: 20px;
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font-weight: 600;
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color: var(--text-primary);
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margin: 0 0 8px;
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}
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p {
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font-size: 14px;
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color: var(--text-tertiary);
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margin: 0;
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}
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}
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// 消息列表
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.messages-list {
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flex: 1;
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overflow-y: auto;
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padding: 24px 32px;
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display: flex;
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flex-direction: column;
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gap: 20px;
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&::-webkit-scrollbar {
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width: 6px;
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}
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&::-webkit-scrollbar-track {
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background: transparent;
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}
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&::-webkit-scrollbar-thumb {
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background: var(--border-color);
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border-radius: 3px;
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}
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.message-row {
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display: flex;
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gap: 12px;
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max-width: 80%;
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animation: messageIn 0.3s ease-out;
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// 用户消息
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&.user {
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align-self: flex-end;
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flex-direction: row-reverse;
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.avatar {
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background: var(--primary-light);
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color: var(--primary);
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}
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.bubble {
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background: var(--primary-gradient);
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color: white;
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border-radius: 18px 18px 4px 18px;
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box-shadow: 0 2px 10px color-mix(in srgb, var(--primary) 20%, transparent);
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.content {
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color: white;
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}
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}
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}
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// AI 消息
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&.ai {
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align-self: flex-start;
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.avatar {
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background: var(--bg-tertiary);
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color: var(--text-secondary);
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}
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.bubble {
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background: var(--card-bg);
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border: 1px solid var(--border-color);
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border-radius: 18px 18px 18px 4px;
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backdrop-filter: blur(10px);
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-webkit-backdrop-filter: blur(10px);
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}
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}
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.avatar {
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flex-shrink: 0;
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width: 32px;
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height: 32px;
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border-radius: 50%;
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display: flex;
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align-items: center;
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justify-content: center;
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}
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.bubble {
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padding: 12px 16px;
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flex: 1;
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min-width: 0;
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.content,
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.markdown-content {
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font-size: 14px;
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line-height: 1.6;
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color: var(--text-primary);
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word-wrap: break-word;
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overflow-wrap: break-word;
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}
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// Markdown 样式
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.markdown-content {
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p {
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margin: 0 0 0.8em;
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&:last-child {
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margin-bottom: 0;
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}
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}
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h1,
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h2,
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h3,
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h4,
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h5,
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h6 {
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margin: 1em 0 0.5em;
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font-weight: 600;
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line-height: 1.3;
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color: var(--text-primary);
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&:first-child {
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margin-top: 0;
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}
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}
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h1 {
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font-size: 1.5em;
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}
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h2 {
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font-size: 1.3em;
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}
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h3 {
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font-size: 1.1em;
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}
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ul,
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ol {
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margin: 0.5em 0;
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padding-left: 1.5em;
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}
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li {
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margin: 0.3em 0;
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}
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code {
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background: var(--bg-tertiary);
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padding: 2px 6px;
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border-radius: 4px;
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font-family: 'Consolas', 'Monaco', monospace;
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font-size: 0.9em;
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}
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pre {
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background: var(--bg-tertiary);
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padding: 12px;
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border-radius: 8px;
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overflow-x: auto;
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margin: 0.8em 0;
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code {
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background: none;
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padding: 0;
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}
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}
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blockquote {
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border-left: 3px solid var(--primary);
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padding-left: 12px;
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margin: 0.8em 0;
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color: var(--text-secondary);
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}
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a {
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color: var(--primary);
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text-decoration: none;
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&:hover {
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text-decoration: underline;
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}
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}
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strong {
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font-weight: 600;
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color: var(--text-primary);
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}
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hr {
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border: none;
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border-top: 1px solid var(--border-color);
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margin: 1em 0;
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}
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table {
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border-collapse: collapse;
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width: 100%;
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margin: 0.8em 0;
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th,
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td {
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border: 1px solid var(--border-color);
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padding: 8px 12px;
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text-align: left;
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}
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th {
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background: var(--bg-tertiary);
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font-weight: 600;
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}
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}
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}
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}
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}
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.list-spacer {
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height: 100px;
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flex-shrink: 0;
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}
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}
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// 输入区域
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.input-area {
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position: absolute;
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bottom: 24px;
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left: 50%;
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transform: translateX(-50%);
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width: calc(100% - 64px);
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max-width: 800px;
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z-index: 10;
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.input-wrapper {
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display: flex;
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align-items: flex-end;
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gap: 10px;
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background: var(--card-bg);
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backdrop-filter: blur(20px);
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-webkit-backdrop-filter: blur(20px);
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border: 1px solid var(--border-color);
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border-radius: 20px;
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padding: 10px 14px;
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box-shadow: 0 8px 32px rgba(0, 0, 0, 0.08);
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transition: all 0.2s ease;
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&:focus-within {
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border-color: var(--primary);
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box-shadow: 0 8px 32px rgba(0, 0, 0, 0.1),
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0 0 0 3px color-mix(in srgb, var(--primary) 15%, transparent);
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}
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textarea {
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flex: 1;
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min-height: 24px;
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max-height: 120px;
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padding: 8px 0;
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background: transparent;
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border: none;
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resize: none;
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color: var(--text-primary);
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font-size: 14px;
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font-family: inherit;
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line-height: 1.5;
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&:focus {
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outline: none;
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}
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&::placeholder {
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color: var(--text-tertiary);
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}
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&:disabled {
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cursor: not-allowed;
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}
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}
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.input-actions {
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display: flex;
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align-items: center;
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gap: 8px;
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flex-shrink: 0;
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// 模型选择器
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.model-selector {
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position: relative;
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.model-btn {
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display: flex;
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align-items: center;
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justify-content: center;
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gap: 6px;
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width: auto;
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height: 36px;
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padding: 6px 12px;
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background: transparent;
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border: 1px solid var(--border-color);
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border-radius: 10px;
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cursor: pointer;
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color: var(--text-secondary);
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font-size: 12px;
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font-weight: 500;
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white-space: nowrap;
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transition: all 0.2s ease;
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flex-shrink: 0;
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svg {
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flex-shrink: 0;
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&.spin {
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animation: spin 1s linear infinite;
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}
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}
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&:hover:not(:disabled) {
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background: var(--bg-hover);
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border-color: var(--text-tertiary);
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color: var(--text-primary);
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}
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&.loaded {
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background: color-mix(in srgb, var(--primary) 15%, transparent);
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border-color: var(--primary);
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color: var(--primary);
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}
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&.loading {
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opacity: 0.7;
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}
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&.disabled {
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opacity: 0.5;
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cursor: not-allowed;
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}
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}
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.model-dropdown {
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position: absolute;
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bottom: 100%;
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right: 0;
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margin-bottom: 8px;
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background: var(--card-bg);
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backdrop-filter: blur(20px);
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-webkit-backdrop-filter: blur(20px);
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border: 1px solid var(--border-color);
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border-radius: 12px;
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box-shadow: 0 8px 24px rgba(0, 0, 0, 0.12);
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z-index: 100;
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overflow: hidden;
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animation: dropdownIn 0.2s ease-out;
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min-width: 140px;
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.model-option {
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display: flex;
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align-items: center;
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justify-content: space-between;
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padding: 10px 14px;
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cursor: pointer;
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font-size: 13px;
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color: var(--text-primary);
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transition: background 0.15s ease;
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white-space: nowrap;
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&:hover:not(.disabled) {
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background: var(--bg-hover);
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}
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&.active {
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background: color-mix(in srgb, var(--primary) 20%, transparent);
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color: var(--primary);
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font-weight: 600;
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.check {
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color: var(--primary);
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}
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}
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.check {
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margin-left: 8px;
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color: var(--text-tertiary);
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font-weight: 600;
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}
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}
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}
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}
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.mode-toggle {
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width: 36px;
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height: 36px;
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display: flex;
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align-items: center;
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justify-content: center;
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background: transparent;
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border: 1px solid var(--border-color);
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||||
border-radius: 10px;
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||||
cursor: pointer;
|
||||
color: var(--text-tertiary);
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transition: all 0.2s ease;
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flex-shrink: 0;
|
||||
|
||||
&:hover:not(:disabled) {
|
||||
background: var(--bg-hover);
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color: var(--text-primary);
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||||
}
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||||
|
||||
&.active {
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||||
background: color-mix(in srgb, var(--primary) 15%, transparent);
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border-color: var(--primary);
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color: var(--primary);
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||||
}
|
||||
|
||||
&:disabled {
|
||||
opacity: 0.4;
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||||
cursor: not-allowed;
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||||
}
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||||
}
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||||
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.send-btn {
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||||
width: 36px;
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||||
height: 36px;
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||||
display: flex;
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||||
align-items: center;
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||||
justify-content: center;
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||||
background: var(--primary-gradient);
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||||
border: none;
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||||
border-radius: 10px;
|
||||
cursor: pointer;
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||||
color: white;
|
||||
transition: all 0.2s ease;
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||||
flex-shrink: 0;
|
||||
box-shadow: 0 2px 8px color-mix(in srgb, var(--primary) 25%, transparent);
|
||||
|
||||
&:hover:not(:disabled) {
|
||||
transform: scale(1.05);
|
||||
box-shadow: 0 4px 12px color-mix(in srgb, var(--primary) 35%, transparent);
|
||||
}
|
||||
|
||||
&:active:not(:disabled) {
|
||||
transform: scale(0.98);
|
||||
}
|
||||
|
||||
&:disabled {
|
||||
background: var(--bg-tertiary);
|
||||
color: var(--text-tertiary);
|
||||
box-shadow: none;
|
||||
cursor: not-allowed;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@keyframes messageIn {
|
||||
from {
|
||||
opacity: 0;
|
||||
transform: translateY(8px);
|
||||
}
|
||||
|
||||
to {
|
||||
opacity: 1;
|
||||
transform: translateY(0);
|
||||
}
|
||||
}
|
||||
|
||||
@keyframes dropdownIn {
|
||||
from {
|
||||
opacity: 0;
|
||||
transform: translateY(-8px);
|
||||
}
|
||||
|
||||
to {
|
||||
opacity: 1;
|
||||
transform: translateY(0);
|
||||
}
|
||||
}
|
||||
|
||||
@keyframes spin {
|
||||
from {
|
||||
transform: rotate(0deg);
|
||||
}
|
||||
|
||||
to {
|
||||
transform: rotate(360deg);
|
||||
}
|
||||
}
|
||||
@@ -1,391 +0,0 @@
|
||||
import { useState, useEffect, useRef, useCallback } from 'react'
|
||||
import { Send, Bot, User, Cpu, ChevronDown, Loader2 } from 'lucide-react'
|
||||
import { Virtuoso, VirtuosoHandle } from 'react-virtuoso'
|
||||
import { engineService, PRESET_MODELS, ModelInfo } from '../services/EngineService'
|
||||
import { MessageBubble } from '../components/MessageBubble'
|
||||
import './AIChatPage.scss'
|
||||
|
||||
interface ChatMessage {
|
||||
id: string;
|
||||
role: 'user' | 'ai';
|
||||
content: string;
|
||||
timestamp: number;
|
||||
}
|
||||
|
||||
// 消息数量限制，避免内存过载
|
||||
const MAX_MESSAGES = 200
|
||||
|
||||
export default function AIChatPage() {
|
||||
const [input, setInput] = useState('')
|
||||
const [messages, setMessages] = useState<ChatMessage[]>([])
|
||||
const [isTyping, setIsTyping] = useState(false)
|
||||
const [models, setModels] = useState<ModelInfo[]>([...PRESET_MODELS])
|
||||
const [selectedModel, setSelectedModel] = useState<string | null>(null)
|
||||
const [modelLoaded, setModelLoaded] = useState(false)
|
||||
const [loadingModel, setLoadingModel] = useState(false)
|
||||
const [isThinkingMode, setIsThinkingMode] = useState(true)
|
||||
const [showModelDropdown, setShowModelDropdown] = useState(false)
|
||||
|
||||
const textareaRef = useRef<HTMLTextAreaElement>(null)
|
||||
const virtuosoRef = useRef<VirtuosoHandle>(null)
|
||||
const dropdownRef = useRef<HTMLDivElement>(null)
|
||||
|
||||
// 流式渲染优化：使用 ref 缓存内容，使用 RAF 批量更新
|
||||
const streamingContentRef = useRef('')
|
||||
const streamingMessageIdRef = useRef<string | null>(null)
|
||||
const rafIdRef = useRef<number | null>(null)
|
||||
|
||||
useEffect(() => {
|
||||
checkModelsStatus()
|
||||
|
||||
// 初始化Llama服务（延迟初始化，用户进入此页面时启动）
|
||||
const initLlama = async () => {
|
||||
try {
|
||||
await window.electronAPI.llama?.init()
|
||||
console.log('[AIChatPage] Llama service initialized')
|
||||
} catch (e) {
|
||||
console.error('[AIChatPage] Failed to initialize Llama:', e)
|
||||
}
|
||||
}
|
||||
initLlama()
|
||||
|
||||
// 清理函数：组件卸载时释放所有资源
|
||||
return () => {
|
||||
// 取消未完成的 RAF
|
||||
if (rafIdRef.current !== null) {
|
||||
cancelAnimationFrame(rafIdRef.current)
|
||||
rafIdRef.current = null
|
||||
}
|
||||
|
||||
// 清理 engine service 的回调引用
|
||||
engineService.clearCallbacks()
|
||||
}
|
||||
}, [])
|
||||
|
||||
// 监听页面卸载事件，确保资源释放
|
||||
useEffect(() => {
|
||||
const handleBeforeUnload = () => {
|
||||
// 清理回调和监听器
|
||||
engineService.dispose()
|
||||
}
|
||||
|
||||
window.addEventListener('beforeunload', handleBeforeUnload)
|
||||
return () => window.removeEventListener('beforeunload', handleBeforeUnload)
|
||||
}, [])
|
||||
|
||||
// 点击外部关闭下拉框
|
||||
useEffect(() => {
|
||||
const handleClickOutside = (event: MouseEvent) => {
|
||||
if (dropdownRef.current && !dropdownRef.current.contains(event.target as Node)) {
|
||||
setShowModelDropdown(false)
|
||||
}
|
||||
}
|
||||
|
||||
document.addEventListener('mousedown', handleClickOutside)
|
||||
return () => document.removeEventListener('mousedown', handleClickOutside)
|
||||
}, [])
|
||||
|
||||
const scrollToBottom = useCallback(() => {
|
||||
// 使用 virtuoso 的 scrollToIndex 方法滚动到底部
|
||||
if (virtuosoRef.current && messages.length > 0) {
|
||||
virtuosoRef.current.scrollToIndex({
|
||||
index: messages.length - 1,
|
||||
behavior: 'smooth'
|
||||
})
|
||||
}
|
||||
}, [messages.length])
|
||||
|
||||
const checkModelsStatus = async () => {
|
||||
const updatedModels = await Promise.all(models.map(async (m) => {
|
||||
const exists = await engineService.checkModelExists(m.path)
|
||||
return { ...m, downloaded: exists }
|
||||
}))
|
||||
setModels(updatedModels)
|
||||
|
||||
// Auto-select first available model
|
||||
if (!selectedModel) {
|
||||
const available = updatedModels.find(m => m.downloaded)
|
||||
if (available) {
|
||||
setSelectedModel(available.path)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 自动加载模型
|
||||
const handleLoadModel = async (modelPath?: string) => {
|
||||
const pathToLoad = modelPath || selectedModel
|
||||
if (!pathToLoad) return false
|
||||
|
||||
setLoadingModel(true)
|
||||
try {
|
||||
await engineService.loadModel(pathToLoad)
|
||||
// Initialize session with system prompt
|
||||
await engineService.createSession("You are a helpful AI assistant.")
|
||||
setModelLoaded(true)
|
||||
return true
|
||||
} catch (e) {
|
||||
console.error("Load failed", e)
|
||||
alert("模型加载失败: " + String(e))
|
||||
return false
|
||||
} finally {
|
||||
setLoadingModel(false)
|
||||
}
|
||||
}
|
||||
|
||||
// 选择模型（如果有多个）
|
||||
const handleSelectModel = (modelPath: string) => {
|
||||
setSelectedModel(modelPath)
|
||||
setShowModelDropdown(false)
|
||||
}
|
||||
|
||||
// 获取可用的已下载模型
|
||||
const availableModels = models.filter(m => m.downloaded)
|
||||
const selectedModelInfo = models.find(m => m.path === selectedModel)
|
||||
|
||||
// 优化的流式更新函数：使用 RAF 批量更新
|
||||
const updateStreamingMessage = useCallback(() => {
|
||||
if (!streamingMessageIdRef.current) return
|
||||
|
||||
setMessages(prev => prev.map(msg =>
|
||||
msg.id === streamingMessageIdRef.current
|
||||
? { ...msg, content: streamingContentRef.current }
|
||||
: msg
|
||||
))
|
||||
|
||||
rafIdRef.current = null
|
||||
}, [])
|
||||
|
||||
// Token 回调：使用 RAF 批量更新 UI
|
||||
const handleToken = useCallback((token: string) => {
|
||||
streamingContentRef.current += token
|
||||
|
||||
// 使用 requestAnimationFrame 批量更新，避免频繁渲染
|
||||
if (rafIdRef.current === null) {
|
||||
rafIdRef.current = requestAnimationFrame(updateStreamingMessage)
|
||||
}
|
||||
}, [updateStreamingMessage])
|
||||
|
||||
const handleSend = async () => {
|
||||
if (!input.trim() || isTyping) return
|
||||
|
||||
// 如果模型未加载，先自动加载
|
||||
if (!modelLoaded) {
|
||||
if (!selectedModel) {
|
||||
alert("请先下载模型（设置页面）")
|
||||
return
|
||||
}
|
||||
const loaded = await handleLoadModel()
|
||||
if (!loaded) return
|
||||
}
|
||||
|
||||
const userMsg: ChatMessage = {
|
||||
id: Date.now().toString(),
|
||||
role: 'user',
|
||||
content: input,
|
||||
timestamp: Date.now()
|
||||
}
|
||||
|
||||
setMessages(prev => {
|
||||
const newMessages = [...prev, userMsg]
|
||||
// 限制消息数量，避免内存过载
|
||||
return newMessages.length > MAX_MESSAGES
|
||||
? newMessages.slice(-MAX_MESSAGES)
|
||||
: newMessages
|
||||
})
|
||||
setInput('')
|
||||
setIsTyping(true)
|
||||
|
||||
// Reset textarea height
|
||||
if (textareaRef.current) {
|
||||
textareaRef.current.style.height = 'auto'
|
||||
}
|
||||
|
||||
const aiMsgId = (Date.now() + 1).toString()
|
||||
streamingContentRef.current = ''
|
||||
streamingMessageIdRef.current = aiMsgId
|
||||
|
||||
// Optimistic update for AI message start
|
||||
setMessages(prev => {
|
||||
const newMessages = [...prev, {
|
||||
id: aiMsgId,
|
||||
role: 'ai' as const,
|
||||
content: '',
|
||||
timestamp: Date.now()
|
||||
}]
|
||||
return newMessages.length > MAX_MESSAGES
|
||||
? newMessages.slice(-MAX_MESSAGES)
|
||||
: newMessages
|
||||
})
|
||||
|
||||
// Append thinking command based on mode
|
||||
const msgWithSuffix = input + (isThinkingMode ? " /think" : " /no_think")
|
||||
|
||||
try {
|
||||
await engineService.chat(msgWithSuffix, handleToken, { thinking: isThinkingMode })
|
||||
} catch (e) {
|
||||
console.error("Chat failed", e)
|
||||
setMessages(prev => [...prev, {
|
||||
id: Date.now().toString(),
|
||||
role: 'ai',
|
||||
content: "❌ Error: Failed to get response from AI.",
|
||||
timestamp: Date.now()
|
||||
}])
|
||||
} finally {
|
||||
setIsTyping(false)
|
||||
streamingMessageIdRef.current = null
|
||||
|
||||
// 确保最终状态同步
|
||||
if (rafIdRef.current !== null) {
|
||||
cancelAnimationFrame(rafIdRef.current)
|
||||
updateStreamingMessage()
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 渲染模型选择按钮（集成在输入框作为下拉项）
|
||||
const renderModelSelector = () => {
|
||||
// 没有可用模型
|
||||
if (availableModels.length === 0) {
|
||||
return (
|
||||
<button
|
||||
className="model-btn disabled"
|
||||
title="请先在设置页面下载模型"
|
||||
>
|
||||
<Bot size={16} />
|
||||
<span>无模型</span>
|
||||
</button>
|
||||
)
|
||||
}
|
||||
|
||||
// 只有一个模型，直接显示
|
||||
if (availableModels.length === 1) {
|
||||
return (
|
||||
<button
|
||||
className={`model-btn ${modelLoaded ? 'loaded' : ''} ${loadingModel ? 'loading' : ''}`}
|
||||
title={modelLoaded ? "模型已就绪" : "发送消息时自动加载"}
|
||||
>
|
||||
{loadingModel ? (
|
||||
<Loader2 size={16} className="spin" />
|
||||
) : (
|
||||
<Bot size={16} />
|
||||
)}
|
||||
<span>{loadingModel ? '加载中' : selectedModelInfo?.name || '模型'}</span>
|
||||
</button>
|
||||
)
|
||||
}
|
||||
|
||||
// 多个模型，显示下拉选择
|
||||
return (
|
||||
<div className="model-selector" ref={dropdownRef}>
|
||||
<button
|
||||
className={`model-btn ${modelLoaded ? 'loaded' : ''} ${loadingModel ? 'loading' : ''}`}
|
||||
onClick={() => !loadingModel && setShowModelDropdown(!showModelDropdown)}
|
||||
title="点击选择模型"
|
||||
>
|
||||
{loadingModel ? (
|
||||
<Loader2 size={16} className="spin" />
|
||||
) : (
|
||||
<Bot size={16} />
|
||||
)}
|
||||
<span>{loadingModel ? '加载中' : selectedModelInfo?.name || '选择模型'}</span>
|
||||
<ChevronDown size={13} className={showModelDropdown ? 'rotate' : ''} />
|
||||
</button>
|
||||
|
||||
{showModelDropdown && (
|
||||
<div className="model-dropdown">
|
||||
{availableModels.map(model => (
|
||||
<div
|
||||
key={model.path}
|
||||
className={`model-option ${selectedModel === model.path ? 'active' : ''}`}
|
||||
onClick={() => handleSelectModel(model.path)}
|
||||
>
|
||||
<span>{model.name}</span>
|
||||
{selectedModel === model.path && (
|
||||
<span className="check">✓</span>
|
||||
)}
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
return (
|
||||
<div className="ai-chat-page">
|
||||
<div className="chat-main">
|
||||
{messages.length === 0 ? (
|
||||
<div className="empty-state">
|
||||
<div className="icon">
|
||||
<Bot size={40} />
|
||||
</div>
|
||||
<h2>AI 为你服务</h2>
|
||||
<p>
|
||||
{availableModels.length === 0
|
||||
? "请先在设置页面下载模型"
|
||||
: "输入消息开始对话，模型将自动加载"
|
||||
}
|
||||
</p>
|
||||
</div>
|
||||
) : (
|
||||
<Virtuoso
|
||||
ref={virtuosoRef}
|
||||
data={messages}
|
||||
className="messages-list"
|
||||
initialTopMostItemIndex={messages.length - 1}
|
||||
followOutput="smooth"
|
||||
itemContent={(index, message) => (
|
||||
<MessageBubble key={message.id} message={message} />
|
||||
)}
|
||||
components={{
|
||||
Footer: () => <div className="list-spacer" />
|
||||
}}
|
||||
/>
|
||||
)}
|
||||
|
||||
<div className="input-area">
|
||||
<div className="input-wrapper">
|
||||
<textarea
|
||||
ref={textareaRef}
|
||||
value={input}
|
||||
onChange={e => {
|
||||
setInput(e.target.value)
|
||||
e.target.style.height = 'auto'
|
||||
e.target.style.height = `${Math.min(e.target.scrollHeight, 120)}px`
|
||||
}}
|
||||
onKeyDown={e => {
|
||||
if (e.key === 'Enter' && !e.shiftKey) {
|
||||
e.preventDefault()
|
||||
handleSend()
|
||||
// Reset height after send
|
||||
if (textareaRef.current) textareaRef.current.style.height = 'auto'
|
||||
}
|
||||
}}
|
||||
placeholder={availableModels.length === 0 ? "请先下载模型..." : "输入消息..."}
|
||||
disabled={availableModels.length === 0 || loadingModel}
|
||||
rows={1}
|
||||
/>
|
||||
<div className="input-actions">
|
||||
{renderModelSelector()}
|
||||
<button
|
||||
className={`mode-toggle ${isThinkingMode ? 'active' : ''}`}
|
||||
onClick={() => setIsThinkingMode(!isThinkingMode)}
|
||||
title={isThinkingMode ? "深度思考模式已开启" : "深度思考模式已关闭"}
|
||||
disabled={availableModels.length === 0}
|
||||
>
|
||||
<Cpu size={18} />
|
||||
</button>
|
||||
<button
|
||||
className="send-btn"
|
||||
onClick={handleSend}
|
||||
disabled={!input.trim() || availableModels.length === 0 || isTyping || loadingModel}
|
||||
>
|
||||
<Send size={18} />
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
@@ -90,10 +90,6 @@ function SettingsPage() {
|
||||
const [whisperDownloadProgress, setWhisperDownloadProgress] = useState(0)
|
||||
const [whisperProgressData, setWhisperProgressData] = useState<{ downloaded: number; total: number; speed: number }>({ downloaded: 0, total: 0, speed: 0 })
|
||||
const [whisperModelStatus, setWhisperModelStatus] = useState<{ exists: boolean; modelPath?: string; tokensPath?: string } | null>(null)
|
||||
const [llamaModelStatus, setLlamaModelStatus] = useState<{ exists: boolean; path?: string; size?: number } | null>(null)
|
||||
const [isLlamaDownloading, setIsLlamaDownloading] = useState(false)
|
||||
const [llamaDownloadProgress, setLlamaDownloadProgress] = useState(0)
|
||||
const [llamaProgressData, setLlamaProgressData] = useState<{ downloaded: number; total: number; speed: number }>({ downloaded: 0, total: 0, speed: 0 })
|
||||
|
||||
const formatBytes = (bytes: number) => {
|
||||
if (bytes === 0) return '0 B';
|
||||
@@ -336,8 +332,7 @@ function SettingsPage() {
|
||||
|
||||
if (savedWhisperModelDir) setWhisperModelDir(savedWhisperModelDir)
|
||||
|
||||
// Load Llama status after config
|
||||
void checkLlamaModelStatus()
|
||||
|
||||
} catch (e: any) {
|
||||
console.error('加载配置失败:', e)
|
||||
}
|
||||
@@ -653,7 +648,6 @@ function SettingsPage() {
|
||||
setWhisperModelDir(dir)
|
||||
await configService.setWhisperModelDir(dir)
|
||||
showMessage('已选择 Whisper 模型目录', true)
|
||||
await checkLlamaModelStatus()
|
||||
}
|
||||
} catch (e: any) {
|
||||
showMessage('选择目录失败', false)
|
||||
@@ -689,68 +683,6 @@ function SettingsPage() {
|
||||
const handleResetWhisperModelDir = async () => {
|
||||
setWhisperModelDir('')
|
||||
await configService.setWhisperModelDir('')
|
||||
await checkLlamaModelStatus()
|
||||
}
|
||||
|
||||
const checkLlamaModelStatus = async () => {
|
||||
try {
|
||||
// @ts-ignore
|
||||
const modelsPath = await window.electronAPI.llama?.getModelsPath()
|
||||
if (!modelsPath) return
|
||||
const modelName = "Qwen3-4B-Q4_K_M.gguf" // Hardcoded preset for now
|
||||
const fullPath = `${modelsPath}\\${modelName}`
|
||||
// @ts-ignore
|
||||
const status = await window.electronAPI.llama?.getModelStatus(fullPath)
|
||||
if (status) {
|
||||
setLlamaModelStatus({
|
||||
exists: status.exists,
|
||||
path: status.path,
|
||||
size: status.size
|
||||
})
|
||||
}
|
||||
} catch (e) {
|
||||
console.error("Check llama model status failed", e)
|
||||
}
|
||||
}
|
||||
|
||||
useEffect(() => {
|
||||
const handleLlamaProgress = (payload: { downloaded: number; total: number; speed: number }) => {
|
||||
setLlamaProgressData(payload)
|
||||
if (payload.total > 0) {
|
||||
setLlamaDownloadProgress((payload.downloaded / payload.total) * 100)
|
||||
}
|
||||
}
|
||||
// @ts-ignore
|
||||
const removeListener = window.electronAPI.llama?.onDownloadProgress(handleLlamaProgress)
|
||||
return () => {
|
||||
if (typeof removeListener === 'function') removeListener()
|
||||
}
|
||||
}, [])
|
||||
|
||||
const handleDownloadLlamaModel = async () => {
|
||||
if (isLlamaDownloading) return
|
||||
setIsLlamaDownloading(true)
|
||||
setLlamaDownloadProgress(0)
|
||||
try {
|
||||
const modelUrl = "https://www.modelscope.cn/models/Qwen/Qwen3-4B-GGUF/resolve/master/Qwen3-4B-Q4_K_M.gguf"
|
||||
// @ts-ignore
|
||||
const modelsPath = await window.electronAPI.llama?.getModelsPath()
|
||||
const modelName = "Qwen3-4B-Q4_K_M.gguf"
|
||||
const fullPath = `${modelsPath}\\${modelName}`
|
||||
|
||||
// @ts-ignore
|
||||
const result = await window.electronAPI.llama?.downloadModel(modelUrl, fullPath)
|
||||
if (result?.success) {
|
||||
showMessage('Qwen3 模型下载完成', true)
|
||||
await checkLlamaModelStatus()
|
||||
} else {
|
||||
showMessage(`模型下载失败: ${result?.error || '未知错误'}`, false)
|
||||
}
|
||||
} catch (e: any) {
|
||||
showMessage(`模型下载失败: ${e}`, false)
|
||||
} finally {
|
||||
setIsLlamaDownloading(false)
|
||||
}
|
||||
}
|
||||
|
||||
const handleAutoGetDbKey = async () => {
|
||||
@@ -1452,7 +1384,7 @@ function SettingsPage() {
|
||||
<div className="tab-content">
|
||||
<div className="form-group">
|
||||
<label>模型管理</label>
|
||||
<span className="form-hint">管理语音识别和 AI 对话模型</span>
|
||||
<span className="form-hint">管理语音识别模型</span>
|
||||
</div>
|
||||
|
||||
<div className="form-group">
|
||||
@@ -1522,50 +1454,6 @@ function SettingsPage() {
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="form-group">
|
||||
<label>AI 对话模型 (Llama)</label>
|
||||
<span className="form-hint">用于 AI 助手对话功能</span>
|
||||
<div className="setting-control vertical has-border">
|
||||
<div className="model-status-card">
|
||||
<div className="model-info">
|
||||
<div className="model-name">Qwen3 4B (Preset) (~2.6GB)</div>
|
||||
<div className="model-path">
|
||||
{llamaModelStatus?.exists ? (
|
||||
<span className="status-indicator success"><Check size={14} /> 已安装</span>
|
||||
) : (
|
||||
<span className="status-indicator warning">未安装</span>
|
||||
)}
|
||||
{llamaModelStatus?.path && <div className="path-text" title={llamaModelStatus.path}>{llamaModelStatus.path}</div>}
|
||||
</div>
|
||||
</div>
|
||||
<div className="model-actions">
|
||||
{!llamaModelStatus?.exists && !isLlamaDownloading && (
|
||||
<button
|
||||
className="btn-download"
|
||||
onClick={handleDownloadLlamaModel}
|
||||
>
|
||||
<Download size={16} /> 下载模型
|
||||
</button>
|
||||
)}
|
||||
{isLlamaDownloading && (
|
||||
<div className="download-status">
|
||||
<div className="status-header">
|
||||
<span className="percent">{Math.floor(llamaDownloadProgress)}%</span>
|
||||
<span className="metrics">
|
||||
{formatBytes(llamaProgressData.downloaded)} / {formatBytes(llamaProgressData.total)}
|
||||
<span className="speed">({formatBytes(llamaProgressData.speed)}/s)</span>
|
||||
</span>
|
||||
</div>
|
||||
<div className="progress-bar-mini">
|
||||
<div className="fill" style={{ width: `${llamaDownloadProgress}%` }}></div>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="form-group">
|
||||
<label>自动转文字</label>
|
||||
<span className="form-hint">收到语音消息时自动转换为文字</span>
|
||||
|
||||
@@ -1,108 +0,0 @@
|
||||
|
||||
export interface ModelInfo {
|
||||
name: string;
|
||||
path: string;
|
||||
downloadUrl?: string; // If it's a known preset
|
||||
size?: number;
|
||||
downloaded: boolean;
|
||||
}
|
||||
|
||||
export const PRESET_MODELS: ModelInfo[] = [
|
||||
{
|
||||
name: "Qwen3 4B (Preset)",
|
||||
path: "Qwen3-4B-Q4_K_M.gguf",
|
||||
downloadUrl: "https://www.modelscope.cn/models/Qwen/Qwen3-4B-GGUF/resolve/master/Qwen3-4B-Q4_K_M.gguf",
|
||||
downloaded: false
|
||||
}
|
||||
];
|
||||
|
||||
class EngineService {
|
||||
private onTokenCallback: ((token: string) => void) | null = null;
|
||||
private onProgressCallback: ((percent: number) => void) | null = null;
|
||||
private _removeTokenListener: (() => void) | null = null;
|
||||
private _removeProgressListener: (() => void) | null = null;
|
||||
|
||||
constructor() {
|
||||
// Initialize listeners
|
||||
this._removeTokenListener = window.electronAPI.llama.onToken((token: string) => {
|
||||
if (this.onTokenCallback) {
|
||||
this.onTokenCallback(token);
|
||||
}
|
||||
});
|
||||
|
||||
this._removeProgressListener = window.electronAPI.llama.onDownloadProgress((percent: number) => {
|
||||
if (this.onProgressCallback) {
|
||||
this.onProgressCallback(percent);
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
public async checkModelExists(filename: string): Promise<boolean> {
|
||||
const modelsPath = await window.electronAPI.llama.getModelsPath();
|
||||
const fullPath = `${modelsPath}\\${filename}`; // Windows path separator
|
||||
// We might need to handle path separator properly or let main process handle it
|
||||
// Updated preload to take full path or handling in main?
|
||||
// Let's rely on main process exposing join or just checking relative to models dir if implemented
|
||||
// Actually main process `checkFileExists` takes a path.
|
||||
// Let's assume we construct path here or Main helps.
|
||||
// Better: getModelsPath returns the directory.
|
||||
return await window.electronAPI.llama.checkFileExists(fullPath);
|
||||
}
|
||||
|
||||
public async getModelsPath(): Promise<string> {
|
||||
return await window.electronAPI.llama.getModelsPath();
|
||||
}
|
||||
|
||||
public async loadModel(filename: string) {
|
||||
const modelsPath = await this.getModelsPath();
|
||||
const fullPath = `${modelsPath}\\${filename}`;
|
||||
console.log("Loading model:", fullPath);
|
||||
return await window.electronAPI.llama.loadModel(fullPath);
|
||||
}
|
||||
|
||||
public async createSession(systemPrompt?: string) {
|
||||
return await window.electronAPI.llama.createSession(systemPrompt);
|
||||
}
|
||||
|
||||
public async chat(message: string, onToken: (token: string) => void, options?: { thinking?: boolean }) {
|
||||
this.onTokenCallback = onToken;
|
||||
return await window.electronAPI.llama.chat(message, options);
|
||||
}
|
||||
|
||||
public async downloadModel(url: string, filename: string, onProgress: (percent: number) => void) {
|
||||
const modelsPath = await this.getModelsPath();
|
||||
const fullPath = `${modelsPath}\\${filename}`;
|
||||
this.onProgressCallback = onProgress;
|
||||
return await window.electronAPI.llama.downloadModel(url, fullPath);
|
||||
}
|
||||
|
||||
/**
|
||||
* 清除当前的回调函数引用
|
||||
* 用于避免内存泄漏
|
||||
*/
|
||||
public clearCallbacks() {
|
||||
this.onTokenCallback = null;
|
||||
this.onProgressCallback = null;
|
||||
}
|
||||
|
||||
/**
|
||||
* 释放所有资源
|
||||
* 包括事件监听器和回调引用
|
||||
*/
|
||||
public dispose() {
|
||||
// 清除回调
|
||||
this.clearCallbacks();
|
||||
|
||||
// 移除事件监听器
|
||||
if (this._removeTokenListener) {
|
||||
this._removeTokenListener();
|
||||
this._removeTokenListener = null;
|
||||
}
|
||||
if (this._removeProgressListener) {
|
||||
this._removeProgressListener();
|
||||
this._removeProgressListener = null;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
export const engineService = new EngineService();
|
||||
11
src/types/electron.d.ts
vendored
11
src/types/electron.d.ts
vendored
@@ -505,17 +505,6 @@ export interface ElectronAPI {
|
||||
selectExportDir: () => Promise<{ canceled: boolean; filePath?: string }>
|
||||
getSnsUsernames: () => Promise<{ success: boolean; usernames?: string[]; error?: string }>
|
||||
}
|
||||
llama: {
|
||||
loadModel: (modelPath: string) => Promise<boolean>
|
||||
createSession: (systemPrompt?: string) => Promise<boolean>
|
||||
chat: (message: string) => Promise<{ success: boolean; response?: any; error?: string }>
|
||||
downloadModel: (url: string, savePath: string) => Promise<void>
|
||||
getModelsPath: () => Promise<string>
|
||||
checkFileExists: (filePath: string) => Promise<boolean>
|
||||
getModelStatus: (modelPath: string) => Promise<{ exists: boolean; path?: string; size?: number; error?: string }>
|
||||
onToken: (callback: (token: string) => void) => () => void
|
||||
onDownloadProgress: (callback: (payload: { downloaded: number; total: number; speed: number }) => void) => () => void
|
||||
}
|
||||
http: {
|
||||
start: (port?: number) => Promise<{ success: boolean; port?: number; error?: string }>
|
||||
stop: () => Promise<{ success: boolean }>
|
||||
|
||||
Reference in New Issue
Block a user