- 所有错误日志统一走 logService(logError/logWarn/logInfo) - 无 logService 的地方补上对应调用 - 纯调试 trace 直接删除(桌面应用看不到 console) - ollama.ts 流式解析错误改为静默跳过(非关键) - 执行日志面板信息量不变
798 lines
31 KiB
TypeScript
798 lines
31 KiB
TypeScript
/**
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* InputArea - 输入区域组件
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*/
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import { state, KEYS } from '../state/state.js';
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import { detectLanguage, truncate, escapeHtml, formatSize } from '../utils/utils.js';
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import { getSelectedModel, isThinkEnabled, isVisionAvailable, isToolCallingSupported } from './model-bar.js';
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import {
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renderMessages, appendAssistantPlaceholder, appendSystemMessage,
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updateLastAssistantMessage, clearMessages, safeMarkdown, enableAutoScroll
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} from './chat-area.js';
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import { showToast } from './toast.js';
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import { isRagEnabled, performRagRetrieval } from './kb-modal.js';
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import { ChatDB } from '../db/chat-db.js';
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import { OllamaAPI } from '../api/ollama.js';
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import { runAgentLoop } from '../services/agent-engine.js';
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import { searchMemories, buildMemoryContext, markMemoryUsed, extractMemoriesFromConversation, isMemoryEnabled } from '../services/memory-manager.js';
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import { showToolConfirm } from './tool-confirm-modal.js';
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import { logInfo, logStream, logError, logSuccess, logWarn } from '../services/log-service.js';
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import type { ChatSession, ChatMessage, OllamaStreamChunk, RagSource, FileContent, ChatFile, ToolCallRecord } from '../types.js';
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let chatInputEl: HTMLTextAreaElement;
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let btnSendEl: HTMLButtonElement;
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let imagePreviewEl: HTMLElement;
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let filePreviewEl: HTMLElement;
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let pendingImages: Array<{ name: string; base64: string }> = [];
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let pendingFiles: Array<{ name: string; content: string; language: string; size: number }> = [];
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const TEXT_EXTENSIONS = new Set([
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'txt','md','markdown','rst','log','csv','tsv',
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'py','pyw','pyi','js','mjs','cjs','ts','tsx','jsx',
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'java','c','h','cpp','cc','cxx','hpp','go','rs','rb','php',
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'sh','bash','zsh','fish','sql','html','htm','css',
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'json','jsonl','xml','svg','yaml','yml','toml','ini','cfg','conf',
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'swift','kt','kts','scala','lua','r','m','mm',
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'cs','fs','vb','ex','exs','erl','hs','clj','lisp',
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'diff','patch','pl','dockerfile','makefile'
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]);
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const MAX_FILE_SIZE = 500 * 1024;
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function getFileIcon(filename: string): string {
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const name = filename.toLowerCase();
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if (name === 'dockerfile') return '🐳';
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if (name === 'makefile' || name === 'gnumakefile') return '🔨';
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const ext = filename.split('.').pop()?.toLowerCase() || '';
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const map: Record<string, string> = { py: '🐍', js: '💛', ts: '🔷', java: '☕', go: '🐹', rs: '🦀', cpp: '⚙️', c: '⚙️', sh: '🐚', html: '🌐', css: '🎨', json: '📋', md: '📝', txt: '📄', sql: '🗃️', csv: '📊' };
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return map[ext] || '📄';
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}
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function isTextFile(name: string): boolean {
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const lower = name.toLowerCase();
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if (lower === 'dockerfile' || lower === 'makefile') return true;
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const ext = lower.split('.').pop() || '';
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return TEXT_EXTENSIONS.has(ext);
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}
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function getBridge(): any {
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return (window as any).metonaDesktop;
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}
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export function initInputArea(): void {
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chatInputEl = document.querySelector('#chatInput')!;
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btnSendEl = document.querySelector('#btnSend')!;
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imagePreviewEl = document.querySelector('#imagePreview')!;
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filePreviewEl = document.querySelector('#filePreview')!;
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btnSendEl.addEventListener('click', () => {
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if (state.get<boolean>(KEYS.IS_STREAMING)) {
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stopGeneration();
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} else {
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sendMessage();
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}
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});
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chatInputEl.addEventListener('keydown', (e) => {
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if (e.key === 'Enter' && !e.shiftKey) {
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e.preventDefault();
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sendMessage();
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}
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});
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chatInputEl.addEventListener('input', autoResizeTextarea);
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// ── 图片上传:原生文件对话框 ──
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document.querySelector('#btnAttachImg')!.addEventListener('click', async () => {
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if (!isVisionAvailable()) {
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showToast('当前模型不支持图片分析', 'warning');
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return;
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}
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const bridge = getBridge();
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if (!bridge) return;
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const paths = await bridge.dialog.openFile({
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filters: [{ name: '图片', extensions: ['png', 'jpg', 'jpeg', 'gif', 'webp', 'bmp', 'svg'] }]
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});
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if (!paths || paths.length === 0) return;
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await handleImagePaths(paths);
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});
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// ── 文件上传:原生文件对话框 ──
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document.querySelector('#btnAttachFile')!.addEventListener('click', async () => {
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const bridge = getBridge();
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if (!bridge) return;
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const paths = await bridge.dialog.openFile({
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filters: [{ name: '文本/代码', extensions: Array.from(TEXT_EXTENSIONS) }]
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});
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if (!paths || paths.length === 0) return;
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await handleTextFilePaths(paths);
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});
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imagePreviewEl.addEventListener('click', (e) => {
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const target = e.target as HTMLElement;
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if (target.classList.contains('remove-img')) {
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pendingImages.splice(parseInt((target as HTMLElement).dataset.index!), 1);
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renderImagePreviews();
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}
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});
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filePreviewEl.addEventListener('click', (e) => {
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const target = e.target as HTMLElement;
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if (target.classList.contains('remove-file')) {
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pendingFiles.splice(parseInt((target as HTMLElement).dataset.index!), 1);
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renderFilePreviews();
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}
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});
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}
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function autoResizeTextarea(): void {
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chatInputEl.style.height = 'auto';
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chatInputEl.style.height = Math.min(chatInputEl.scrollHeight, 120) + 'px';
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}
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async function handleImagePaths(paths: string[]): Promise<void> {
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const bridge = getBridge();
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const maxSize = 20 * 1024 * 1024;
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for (const filePath of paths) {
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const name = filePath.split(/[/\\]/).pop() || filePath;
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try {
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const result = await bridge.fs.readFile(filePath);
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if (!result.success) {
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appendSystemMessage(`❌ 读取 ${name} 失败: ${result.error}`);
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continue;
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}
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// IPC 返回的 content 是 UTF-8 字符串,转为 base64
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const binary = Uint8Array.from(atob(result.content as string), c => c.charCodeAt(0));
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const base64 = btoa(String.fromCharCode(...binary));
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if (binary.length > maxSize) {
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appendSystemMessage(`⚠️ 图片 ${name} 超过 20MB 限制`);
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continue;
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}
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pendingImages.push({ name, base64 });
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logInfo(`图片已添加: ${name}`, formatSize(binary.length));
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} catch (err) {
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logError('图片读取失败', (err as Error).message);
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appendSystemMessage(`❌ 读取 ${name} 失败`);
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}
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}
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renderImagePreviews();
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}
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function renderImagePreviews(): void {
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if (pendingImages.length === 0) {
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imagePreviewEl.style.display = 'none';
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imagePreviewEl.innerHTML = '';
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return;
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}
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imagePreviewEl.style.display = '';
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imagePreviewEl.innerHTML = pendingImages.map((img, i) => `
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<div class="preview-thumb">
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<img src="data:image/png;base64,${img.base64}" alt="${escapeHtml(img.name)}">
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<button class="remove-img" data-index="${i}">×</button>
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</div>
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`).join('');
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}
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async function handleTextFilePaths(paths: string[]): Promise<void> {
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const bridge = getBridge();
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for (const filePath of paths) {
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const name = filePath.split(/[/\\]/).pop() || filePath;
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if (!isTextFile(name)) {
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appendSystemMessage(`⚠️ ${name} 不是支持的文本/代码文件`);
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continue;
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}
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try {
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const result = await bridge.fs.readFile(filePath);
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if (!result.success) {
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appendSystemMessage(`❌ 读取 ${name} 失败: ${result.error}`);
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continue;
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}
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const content = result.content as string;
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const size = new TextEncoder().encode(content).length;
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if (size > MAX_FILE_SIZE) {
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appendSystemMessage(`⚠️ ${name} 超过 500KB 限制(${formatSize(size)})`);
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continue;
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}
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if (pendingFiles.some(f => f.name === name)) {
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appendSystemMessage(`ℹ️ ${name} 已添加`);
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continue;
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}
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pendingFiles.push({ name, content, language: detectLanguage(name), size });
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logInfo(`文件已添加: ${name}`, formatSize(size));
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renderFilePreviews();
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} catch (err) {
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logError('文件读取失败', (err as Error).message);
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appendSystemMessage(`❌ 读取 ${name} 失败`);
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}
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}
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}
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function renderFilePreviews(): void {
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if (pendingFiles.length === 0) {
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filePreviewEl.style.display = 'none';
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filePreviewEl.innerHTML = '';
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return;
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}
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filePreviewEl.style.display = '';
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filePreviewEl.innerHTML = pendingFiles.map((f, i) => `
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<div class="file-chip">
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<span class="file-icon">${getFileIcon(f.name)}</span>
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<span class="file-name">${escapeHtml(f.name)}</span>
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<span class="file-size">${formatSize(f.size)}</span>
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<button class="remove-file" data-index="${i}" title="移除">×</button>
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</div>
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`).join('');
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}
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function updateSendButton(streaming: boolean): void {
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if (streaming) {
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btnSendEl.innerHTML = `<svg viewBox="0 0 24 24" fill="currentColor"><rect x="6" y="6" width="12" height="12" rx="2"/></svg>`;
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btnSendEl.classList.add('stop-btn');
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btnSendEl.classList.remove('disabled');
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btnSendEl.title = '停止生成';
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} else {
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btnSendEl.innerHTML = `<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><line x1="22" y1="2" x2="11" y2="13"/><polygon points="22 2 15 22 11 13 2 9 22 2"/></svg>`;
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btnSendEl.classList.remove('stop-btn');
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btnSendEl.classList.remove('disabled');
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btnSendEl.title = '发送';
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}
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}
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function stopGeneration(): void {
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const abortController = state.get<AbortController | null>(KEYS.ABORT_CONTROLLER);
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if (abortController) abortController.abort();
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}
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function buildApiMessages(messages: ChatMessage[]): Array<{ role: string; content: string; images?: string[] }> {
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return messages.map(m => {
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let content = m.content || '';
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if (m._fileContents && m._fileContents.length > 0) {
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const fileParts = m._fileContents.map(f => {
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const lang = f.language || '';
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return `📄 以下是一个文件内容:\n\n\`\`\`${lang}\n${f.content}\n\`\`\``;
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});
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if (content) {
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content += '\n\n---\n' + fileParts.join('\n\n---\n');
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} else {
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const count = m._fileContents.length;
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content = `请分析以下 ${count > 1 ? count + ' 个' : ''}文件:\n\n${fileParts.join('\n\n---\n')}`;
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}
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}
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return {
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role: m.role,
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content,
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...(m.images && { images: m.images })
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};
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});
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}
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export async function sendMessage(): Promise<void> {
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const text = chatInputEl.value.trim();
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if (!text && pendingImages.length === 0 && pendingFiles.length === 0) return;
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if (state.get<boolean>(KEYS.IS_STREAMING)) return;
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const model = getSelectedModel();
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if (!model) {
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appendSystemMessage('⚠️ 请先选择一个模型');
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return;
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}
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logInfo(`发送消息: ${model}`, text ? text.slice(0, 60) + (text.length > 60 ? '...' : '') : '[附件消息]');
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if (pendingImages.length > 0 && !isVisionAvailable()) {
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appendSystemMessage('⚠️ 当前模型不支持图片分析,请移除图片后重试');
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return;
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}
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const currentSession = state.get<ChatSession | null>(KEYS.CURRENT_SESSION);
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if (!currentSession) return;
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// ── Tool Calling Agent Loop 分支 ──
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const toolCallingEnabled = state.get<boolean>('toolCallingEnabled', false);
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if (toolCallingEnabled) {
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// 检查模型是否支持 Tool Calling
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if (!isToolCallingSupported()) {
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appendSystemMessage('⚠️ 当前模型未声明支持 Tool Calling,Agent Loop 可能不稳定。建议使用 Qwen3、Llama 3.1+ 或 Mistral 等支持工具调用的模型。');
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}
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await sendMessageWithAgentLoop(text, currentSession, model);
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return;
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}
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// ── 原有普通聊天流程 ──
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const now = Date.now();
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const msgsToAdd: ChatMessage[] = [];
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const userFiles: ChatFile[] = pendingFiles.map(f => ({ name: f.name, language: f.language, size: f.size }));
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if (pendingImages.length > 0) {
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msgsToAdd.push({
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role: 'user',
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content: pendingImages.length === 1 ? `[上传了图片: ${pendingImages[0].name}]` : `[上传了 ${pendingImages.length} 张图片]`,
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images: pendingImages.map(img => img.base64),
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timestamp: now
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});
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}
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if (text || pendingFiles.length > 0) {
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const msg: ChatMessage = {
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role: 'user',
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content: text || '',
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timestamp: now
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};
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if (userFiles.length > 0) {
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msg.files = userFiles;
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msg._fileContents = pendingFiles.map(f => ({ language: f.language, content: f.content }));
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}
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msgsToAdd.push(msg);
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}
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const isFirstMsg = currentSession.messages.length === 0;
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state.update(KEYS.CURRENT_SESSION, (session: any) => ({
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...session,
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...(isFirstMsg && {
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title: truncate(text || (pendingFiles.length > 0 ? `[文件: ${pendingFiles.map(f => f.name).join(', ')}]` : '[图片消息]'), 30),
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model
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}),
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messages: [...session.messages, ...msgsToAdd],
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updatedAt: Date.now()
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}));
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const freshSession = state.get<ChatSession>(KEYS.CURRENT_SESSION);
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enableAutoScroll();
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renderMessages();
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await saveCurrentSession();
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chatInputEl.value = '';
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pendingImages = [];
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pendingFiles = [];
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imagePreviewEl.style.display = 'none';
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imagePreviewEl.innerHTML = '';
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filePreviewEl.style.display = 'none';
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filePreviewEl.innerHTML = '';
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autoResizeTextarea();
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appendAssistantPlaceholder();
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state.set(KEYS.IS_STREAMING, true);
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updateSendButton(true);
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const api = state.get<OllamaAPI>(KEYS.API)!;
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const abortController = new AbortController();
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state.set(KEYS.ABORT_CONTROLLER, abortController);
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const thinkMode = isThinkEnabled();
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const systemPromptEnabled = state.get<boolean>(KEYS.SYSTEM_PROMPT_ENABLED);
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const systemPrompt = state.get<string>(KEYS.SYSTEM_PROMPT);
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const numCtx = state.get<number>(KEYS.NUM_CTX, 24576);
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let assistantContent = '';
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let thinkContent = '';
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let finalStats: { eval_count?: number; total_duration?: number } | null = null;
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let modelName = '';
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try {
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const apiMessages = buildApiMessages(freshSession.messages);
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const temperature = state.get<number>('temperature', 0.7);
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const chatParams: Record<string, unknown> = {
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model,
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messages: apiMessages,
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stream: true,
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think: thinkMode,
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};
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if (systemPromptEnabled && systemPrompt) chatParams.system = systemPrompt;
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if (numCtx) chatParams.options = { num_ctx: numCtx, temperature };
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// ── Agent 记忆注入 ──
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if (isMemoryEnabled()) {
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const userMessage = text || (msgsToAdd.find(m => m.role === 'user')?.content || '');
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if (userMessage) {
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const relevantMemories = searchMemories(userMessage, 6);
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if (relevantMemories.length > 0) {
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const memoryContext = buildMemoryContext(relevantMemories);
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chatParams.system = chatParams.system
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? (chatParams.system as string) + '\n\n' + memoryContext
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: memoryContext;
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for (const m of relevantMemories) {
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await markMemoryUsed(m.id);
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}
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appendSystemMessage(`🧠 已注入 ${relevantMemories.length} 条相关记忆`, 'memory-status');
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}
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}
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}
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let ragSources: RagSource[] | null = null;
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if (isRagEnabled()) {
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appendSystemMessage('🧠 正在检索知识库...', 'rag-status');
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try {
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const textForRag = text;
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const ragResult = await performRagRetrieval(textForRag);
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if (ragResult && ragResult.results && ragResult.results.length > 0) {
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const ctxLimit = numCtx || 24576;
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const outputReserve = 2048;
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const msgChars = apiMessages.reduce((sum, m) => sum + (m.content?.length || 0), 0);
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const systemChars = ((chatParams.system as string)?.length || 0);
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const usedTokens = Math.ceil((msgChars + systemChars) / 2);
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const ragBudget = Math.max(0, ctxLimit - outputReserve - usedTokens);
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const ragBudgetChars = ragBudget * 2;
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let ragContext = ragResult.results.map((r: any, i: number) =>
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`[来源 ${i + 1}: ${r.filename}]\n${r.text}`
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).join('\n\n---\n\n');
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const ragTemplate = `你是一个知识库问答助手。以下是检索到的相关文档片段,请基于这些内容回答用户的问题。\n\n=== 检索到的相关内容 ===\n${ragContext}\n=== 内容结束 ===`;
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if (ragContext.length + ragTemplate.length > ragBudgetChars) {
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ragContext = ragContext.slice(0, Math.max(0, ragBudgetChars - ragTemplate.length - 50)) + '\n\n[知识库内容过长,已截取最相关的部分]';
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appendSystemMessage(`⚠️ 知识库内容已截取(预算 ${ragBudgetChars} 字符)`, 'rag-status');
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}
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|
||
const ragPrompt = `你是一个知识库问答助手。以下是检索到的相关文档片段,请基于这些内容回答用户的问题。如果检索到的内容无法回答问题,请如实说明。\n\n=== 检索到的相关内容 ===\n${ragContext}\n=== 内容结束 ===\n\n请基于以上内容回答用户的问题。引用时请注明来源编号(如"来源 1")。`;
|
||
|
||
chatParams.system = chatParams.system
|
||
? (chatParams.system as string) + '\n\n' + ragPrompt
|
||
: ragPrompt;
|
||
|
||
ragSources = ragResult.results.map((r: any) => ({
|
||
filename: r.filename,
|
||
score: r.score,
|
||
text: truncate(r.text, 100)
|
||
}));
|
||
const sourceNames = [...new Set(ragSources.map(s => s.filename))];
|
||
appendSystemMessage(`🧠 已检索 ${ragSources.length} 个相关片段(来源:${sourceNames.join('、')})`, 'rag-status');
|
||
} else {
|
||
appendSystemMessage('🧠 知识库未检索到相关内容,使用通用知识回答', 'rag-status');
|
||
}
|
||
} catch (ragErr) {
|
||
logError('RAG 检索失败', (ragErr as Error).message);
|
||
appendSystemMessage(`🧠 知识库检索失败: ${(ragErr as Error).message}`, 'rag-status');
|
||
}
|
||
}
|
||
|
||
let ragStatusCleared = false;
|
||
|
||
await api.chatStream(chatParams as any, (chunk: OllamaStreamChunk) => {
|
||
if (!ragStatusCleared && chunk.message?.content) {
|
||
ragStatusCleared = true;
|
||
document.querySelectorAll('.rag-status').forEach(el => el.remove());
|
||
}
|
||
if (chunk.message) {
|
||
if (chunk.message.content) assistantContent += chunk.message.content;
|
||
const think = chunk.message.thinking || chunk.message.reasoning_content;
|
||
if (think && typeof think === 'string') thinkContent += think;
|
||
}
|
||
if (chunk.model) modelName = chunk.model;
|
||
updateLastAssistantMessage(assistantContent, thinkContent || null, null, modelName || undefined);
|
||
if (chunk.done) {
|
||
finalStats = { eval_count: chunk.eval_count, total_duration: chunk.total_duration };
|
||
}
|
||
}, abortController);
|
||
|
||
if (!assistantContent && !thinkContent) {
|
||
appendSystemMessage('⚠️ 模型未返回任何内容,可能是上下文过长或模型不支持当前请求');
|
||
logWarn('模型未返回任何内容');
|
||
}
|
||
|
||
logStream(`流式完成: ${assistantContent.length} 字符${finalStats?.eval_count ? `, ${finalStats.eval_count} tokens` : ''}`);
|
||
|
||
const assistantMsg: ChatMessage = {
|
||
role: 'assistant',
|
||
content: assistantContent || '',
|
||
timestamp: Date.now(),
|
||
...(modelName && { model: modelName }),
|
||
...(thinkContent && { think: thinkContent }),
|
||
...(finalStats && { eval_count: finalStats.eval_count, total_duration: finalStats.total_duration }),
|
||
...(ragSources && { ragSources })
|
||
};
|
||
state.update(KEYS.CURRENT_SESSION, (session: any) => ({
|
||
...session,
|
||
messages: [...session.messages, assistantMsg],
|
||
updatedAt: Date.now()
|
||
}));
|
||
|
||
if (finalStats) {
|
||
updateLastAssistantMessage(assistantContent, thinkContent || null, finalStats, modelName || undefined);
|
||
}
|
||
|
||
if (ragSources && ragSources.length > 0) {
|
||
const lastAssistant = document.querySelector('#messagesContainer .message.assistant:last-of-type');
|
||
if (lastAssistant) {
|
||
const sourcesHtml = ragSources.map((s, i) => {
|
||
const scorePercent = s.score ? `${(s.score * 100).toFixed(0)}%` : '';
|
||
return `<div class="rag-source-item"><span class="rag-source-name">📄 来源 ${i + 1}: ${escapeHtml(s.filename)}</span>${scorePercent ? `<span class="rag-source-score">${scorePercent}</span>` : ''}</div>`;
|
||
}).join('');
|
||
const ragDiv = document.createElement('div');
|
||
ragDiv.className = 'rag-sources';
|
||
ragDiv.innerHTML = `<div class="rag-sources-header">🧠 基于知识库回答</div>${sourcesHtml}`;
|
||
lastAssistant.querySelector('.msg-body')!.appendChild(ragDiv);
|
||
}
|
||
}
|
||
|
||
await saveCurrentSession();
|
||
|
||
// ── 自动提取记忆(非阻塞)──
|
||
if (isMemoryEnabled() && freshSession.messages.length >= 6) {
|
||
const currentSession2 = state.get<ChatSession | null>(KEYS.CURRENT_SESSION);
|
||
if (currentSession2) {
|
||
extractMemoriesFromConversation(
|
||
currentSession2.messages.map(m => ({ role: m.role, content: m.content })),
|
||
currentSession2.title
|
||
).then(count => {
|
||
if (count > 0) {
|
||
logInfo(`自动提取了 ${count} 条记忆`);
|
||
}
|
||
}).catch(err => logError('记忆提取失败', (err as Error).message));
|
||
}
|
||
}
|
||
} catch (err) {
|
||
document.querySelectorAll('.rag-status').forEach(el => el.remove());
|
||
|
||
if ((err as Error).name === 'AbortError') {
|
||
const placeholder = document.querySelector('#messagesContainer .message.assistant.loading') as HTMLElement;
|
||
const loadingDots = placeholder?.querySelector('.loading-dots');
|
||
const loadingText = placeholder?.querySelector('.loading-text');
|
||
if (loadingDots) loadingDots.remove();
|
||
if (loadingText) loadingText.remove();
|
||
placeholder?.classList.remove('loading');
|
||
|
||
const contentDiv = placeholder?.querySelector('.msg-content');
|
||
const partialMsg: ChatMessage = {
|
||
role: 'assistant',
|
||
content: assistantContent,
|
||
timestamp: Date.now(),
|
||
...(modelName && { model: modelName }),
|
||
...(thinkContent && { think: thinkContent }),
|
||
stopped: true
|
||
};
|
||
state.update(KEYS.CURRENT_SESSION, (session: any) => ({
|
||
...session,
|
||
messages: [...session.messages, partialMsg],
|
||
updatedAt: Date.now()
|
||
}));
|
||
|
||
if (contentDiv) {
|
||
let html = assistantContent ? safeMarkdown(assistantContent) : '';
|
||
html += '<p><code>[已停止]</code></p>';
|
||
contentDiv.innerHTML = html;
|
||
}
|
||
appendSystemMessage('⏹ 已停止生成');
|
||
await saveCurrentSession();
|
||
state.set(KEYS.IS_STREAMING, false);
|
||
updateSendButton(false);
|
||
state.set(KEYS.ABORT_CONTROLLER, null);
|
||
return;
|
||
}
|
||
|
||
const placeholder = document.querySelector('#messagesContainer .message.assistant.loading') as HTMLElement;
|
||
const loadingDots = placeholder?.querySelector('.loading-dots');
|
||
const loadingText = placeholder?.querySelector('.loading-text');
|
||
if (loadingDots) loadingDots.remove();
|
||
if (loadingText) loadingText.remove();
|
||
placeholder?.classList.remove('loading');
|
||
|
||
const contentDiv = placeholder?.querySelector('.msg-content');
|
||
|
||
if (assistantContent && contentDiv) {
|
||
state.update(KEYS.CURRENT_SESSION, (session: any) => ({
|
||
...session,
|
||
messages: [...session.messages, { role: 'assistant', content: assistantContent + '\n\n`[已中断]`', timestamp: Date.now() } as ChatMessage],
|
||
updatedAt: Date.now()
|
||
}));
|
||
contentDiv.innerHTML = safeMarkdown(assistantContent) + '<p><code>[已中断]</code></p>';
|
||
await saveCurrentSession();
|
||
} else {
|
||
if (placeholder) placeholder.remove();
|
||
}
|
||
|
||
let errMsg = `❌ 错误: ${(err as Error).message}`;
|
||
if ((err as Error).message.includes('Failed to fetch') || (err as Error).message.includes('NetworkError')) {
|
||
errMsg = '❌ 连接失败。请检查:\n1. Ollama 是否正在运行\n2. 地址是否正确\n3. 是否设置了 OLLAMA_ORIGINS="*"';
|
||
logError('连接失败', 'Ollama 服务不可达');
|
||
} else if ((err as Error).message.includes('400')) {
|
||
errMsg = '❌ 请求参数错误,可能是知识库内容超出模型上下文限制';
|
||
logError('请求参数错误 (400)', (err as Error).message);
|
||
} else if ((err as Error).message.includes('500')) {
|
||
errMsg = '❌ Ollama 服务器错误,请检查 Ollama 日志';
|
||
logError('Ollama 服务器错误 (500)', (err as Error).message);
|
||
} else {
|
||
logError('对话错误', (err as Error).message);
|
||
}
|
||
appendSystemMessage(errMsg);
|
||
} finally {
|
||
state.set(KEYS.IS_STREAMING, false);
|
||
updateSendButton(false);
|
||
state.set(KEYS.ABORT_CONTROLLER, null);
|
||
}
|
||
}
|
||
|
||
async function sendMessageWithAgentLoop(text: string, currentSession: ChatSession, model: string): Promise<void> {
|
||
const now = Date.now();
|
||
const msgsToAdd: ChatMessage[] = [];
|
||
const userFiles: ChatFile[] = pendingFiles.map(f => ({ name: f.name, language: f.language, size: f.size }));
|
||
const images = pendingImages.map(img => img.base64);
|
||
|
||
if (pendingImages.length > 0) {
|
||
msgsToAdd.push({
|
||
role: 'user',
|
||
content: pendingImages.length === 1 ? `[上传了图片: ${pendingImages[0].name}]` : `[上传了 ${pendingImages.length} 张图片]`,
|
||
images,
|
||
timestamp: now
|
||
});
|
||
}
|
||
|
||
if (text || pendingFiles.length > 0) {
|
||
const msg: ChatMessage = {
|
||
role: 'user',
|
||
content: text || '',
|
||
timestamp: now
|
||
};
|
||
if (userFiles.length > 0) {
|
||
msg.files = userFiles;
|
||
msg._fileContents = pendingFiles.map(f => ({ language: f.language, content: f.content }));
|
||
}
|
||
msgsToAdd.push(msg);
|
||
}
|
||
|
||
const isFirstMsg = currentSession.messages.length === 0;
|
||
state.update(KEYS.CURRENT_SESSION, (session: any) => ({
|
||
...session,
|
||
...(isFirstMsg && {
|
||
title: truncate(text || (pendingFiles.length > 0 ? `[文件: ${pendingFiles.map(f => f.name).join(', ')}]` : '[图片消息]'), 30),
|
||
model
|
||
}),
|
||
messages: [...session.messages, ...msgsToAdd],
|
||
updatedAt: Date.now()
|
||
}));
|
||
|
||
const freshSession = state.get<ChatSession>(KEYS.CURRENT_SESSION);
|
||
|
||
enableAutoScroll();
|
||
renderMessages();
|
||
await saveCurrentSession();
|
||
|
||
chatInputEl.value = '';
|
||
pendingImages = [];
|
||
pendingFiles = [];
|
||
imagePreviewEl.style.display = 'none';
|
||
imagePreviewEl.innerHTML = '';
|
||
filePreviewEl.style.display = 'none';
|
||
filePreviewEl.innerHTML = '';
|
||
autoResizeTextarea();
|
||
|
||
appendAssistantPlaceholder();
|
||
state.set(KEYS.IS_STREAMING, true);
|
||
updateSendButton(true);
|
||
|
||
// 构建历史消息
|
||
const historyMessages = freshSession.messages
|
||
.filter(m => m.role === 'user' || m.role === 'assistant')
|
||
.slice(-20)
|
||
.map(m => {
|
||
let content = m.content || '';
|
||
if (m._fileContents && m._fileContents.length > 0) {
|
||
const fileParts = m._fileContents.map(f => `📄 文件:\n\`\`\`${f.language}\n${f.content}\n\`\`\``);
|
||
content = content ? content + '\n\n---\n' + fileParts.join('\n\n---\n') : fileParts.join('\n\n---\n');
|
||
}
|
||
return {
|
||
role: m.role,
|
||
content,
|
||
...(m.images?.length && { images: m.images })
|
||
};
|
||
});
|
||
|
||
let assistantContent = '';
|
||
let thinkContent = '';
|
||
|
||
try {
|
||
await runAgentLoop(text || (pendingFiles.length > 0 ? `请分析 ${pendingFiles.map(f => f.name).join(', ')}` : ''), images, historyMessages, {
|
||
onThinking: (thinking) => {
|
||
thinkContent = thinking;
|
||
updateLastAssistantMessage(assistantContent, thinkContent || null, null);
|
||
},
|
||
onContent: (content) => {
|
||
assistantContent = content;
|
||
updateLastAssistantMessage(assistantContent, thinkContent || null, null);
|
||
},
|
||
onToolCallStart: (_call) => {
|
||
// 实时更新已由 agent-engine 的 callbacks 处理
|
||
},
|
||
onToolCallResult: (_name, _result, _call) => {
|
||
// 工具结果实时更新
|
||
},
|
||
onToolCallError: (_name, _error, _call) => {
|
||
// 工具错误实时更新
|
||
},
|
||
onConfirmTool: async (call) => {
|
||
return showToolConfirm(call);
|
||
},
|
||
onDone: async (finalContent, toolRecords) => {
|
||
assistantContent = finalContent;
|
||
|
||
const assistantMsg: ChatMessage = {
|
||
role: 'assistant',
|
||
content: assistantContent || '',
|
||
timestamp: Date.now(),
|
||
...(thinkContent && { think: thinkContent }),
|
||
...(toolRecords?.length && { toolCalls: toolRecords })
|
||
};
|
||
state.update(KEYS.CURRENT_SESSION, (session: any) => ({
|
||
...session,
|
||
messages: [...session.messages, assistantMsg],
|
||
updatedAt: Date.now()
|
||
}));
|
||
|
||
updateLastAssistantMessage(assistantContent, thinkContent || null, null);
|
||
renderMessages();
|
||
await saveCurrentSession();
|
||
}
|
||
});
|
||
} catch (err) {
|
||
logError('Agent Loop 错误', (err as Error).message);
|
||
|
||
if ((err as Error).name === 'AbortError') {
|
||
const placeholder = document.querySelector('#messagesContainer .message.assistant.loading') as HTMLElement;
|
||
if (placeholder) {
|
||
placeholder.classList.remove('loading');
|
||
placeholder.querySelector('.loading-dots')?.remove();
|
||
placeholder.querySelector('.loading-text')?.remove();
|
||
const contentDiv = placeholder.querySelector('.msg-content');
|
||
if (contentDiv) {
|
||
let html = assistantContent ? safeMarkdown(assistantContent) : '';
|
||
html += '<p><code>[已停止]</code></p>';
|
||
contentDiv.innerHTML = html;
|
||
}
|
||
}
|
||
const partialMsg: ChatMessage = {
|
||
role: 'assistant',
|
||
content: assistantContent,
|
||
timestamp: Date.now(),
|
||
...(thinkContent && { think: thinkContent }),
|
||
stopped: true
|
||
};
|
||
state.update(KEYS.CURRENT_SESSION, (session: any) => ({
|
||
...session,
|
||
messages: [...session.messages, partialMsg],
|
||
updatedAt: Date.now()
|
||
}));
|
||
appendSystemMessage('⏹ 已停止生成');
|
||
await saveCurrentSession();
|
||
} else {
|
||
const placeholder = document.querySelector('#messagesContainer .message.assistant.loading') as HTMLElement;
|
||
if (placeholder) {
|
||
placeholder.classList.remove('loading');
|
||
placeholder.querySelector('.loading-dots')?.remove();
|
||
placeholder.querySelector('.loading-text')?.remove();
|
||
if (!assistantContent) placeholder.remove();
|
||
else {
|
||
const contentDiv = placeholder.querySelector('.msg-content');
|
||
if (contentDiv) contentDiv.innerHTML = safeMarkdown(assistantContent) + '<p><code>[已中断]</code></p>';
|
||
}
|
||
}
|
||
|
||
let errMsg = `❌ 错误: ${(err as Error).message}`;
|
||
if ((err as Error).message.includes('Failed to fetch') || (err as Error).message.includes('NetworkError')) {
|
||
errMsg = '❌ 连接失败。请检查 Ollama 是否正在运行';
|
||
}
|
||
appendSystemMessage(errMsg);
|
||
}
|
||
} finally {
|
||
state.set(KEYS.IS_STREAMING, false);
|
||
updateSendButton(false);
|
||
state.set(KEYS.ABORT_CONTROLLER, null);
|
||
}
|
||
}
|
||
|
||
async function saveCurrentSession(): Promise<void> {
|
||
const db = state.get<ChatDB | null>(KEYS.DB);
|
||
const currentSession = state.get<ChatSession | null>(KEYS.CURRENT_SESSION);
|
||
const isHistoryView = state.get<boolean>(KEYS.IS_HISTORY_VIEW);
|
||
if (!currentSession || !db || isHistoryView) return;
|
||
currentSession.updatedAt = Date.now();
|
||
try {
|
||
await db.saveSession(currentSession);
|
||
} catch (err) {
|
||
logError('保存会话失败', (err as Error).message);
|
||
}
|
||
}
|