Metona Fix
af70054875
log-service 重构： - DOM 渲染改用 requestAnimationFrame 批量队列 - 全程 try-catch，任何异常都不阻塞主流程 - 新增 logConnection/logModel/logSession/logMemory/logRAG/logSetting/logIPC/logInit 便捷方法 全量接入（12 个文件）： - header.ts: 连接状态变化（connected/disconnected/error） - model-bar.ts: 模型列表加载、模型切换、能力检测结果 - settings-modal.ts: 所有设置变更（系统提示词/上下文/温度/工具调用/命令执行/记忆）、显存释放、导出/导入 - tool-confirm-modal.ts: 工具确认弹窗、确认/取消操作 - memory-manager.ts: 记忆初始化、新增/删除、自动提取 - tool-registry.ts: 工具执行异常 - rag.ts: 文档分块、向量检索 - kb-modal.ts: 知识库创建、文档上传、批量上传 - history-modal.ts: 会话加载、会话删除 - main.ts: 应用初始化各阶段、桌面集成、菜单/托盘操作、新建会话 - input-area.ts: 消息发送、流式完成/错误、文件/图片添加、Agent Loop 错误
93 lines
3.2 KiB
TypeScript
93 lines
3.2 KiB
TypeScript
/**
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* Header - 顶部导航组件
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*/
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import { state, KEYS } from '../state/state.js';
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import { formatSize } from '../utils/utils.js';
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import { OllamaAPI } from '../api/ollama.js';
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import { logConnection, logError, logDebug } from '../services/log-service.js';
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let connStatusEl: HTMLElement;
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export function initHeader(): void {
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connStatusEl = document.querySelector('#connStatus')!;
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}
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export async function checkConnection(): Promise<{ ok: boolean; version?: { version: string }; error?: Error }> {
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const api = state.get<OllamaAPI>(KEYS.API);
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if (!api) return { ok: false, error: new Error('API 未初始化') };
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connStatusEl.className = 'conn-status pending';
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connStatusEl.querySelector('.status-label')!.textContent = '连接中...';
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try {
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const version = await api.getVersion();
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connStatusEl.className = 'conn-status connected';
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connStatusEl.title = `已连接 (v${version.version})`;
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connStatusEl.querySelector('.status-label')!.textContent = '已连接';
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logConnection('connected', `Ollama v${version.version}`);
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return { ok: true, version };
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} catch (err) {
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connStatusEl.className = 'conn-status disconnected';
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connStatusEl.title = '未连接';
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connStatusEl.querySelector('.status-label')!.textContent = '未连接';
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logConnection('disconnected', (err as Error).message);
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return { ok: false, error: err as Error };
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}
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}
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export async function updateConnectionInfo(): Promise<void> {
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const api = state.get<OllamaAPI>(KEYS.API);
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if (!api) return;
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const badge = document.querySelector('#connBadge')!;
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const verEl = document.querySelector('#serverVersion')!;
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const corsHint = document.querySelector('#corsHint') as HTMLElement;
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badge.textContent = '检测中...';
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badge.className = 'status-badge warning';
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verEl.textContent = '';
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try {
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const version = await api.getVersion();
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badge.textContent = '✓ 已连接';
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badge.className = 'status-badge success';
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verEl.textContent = `v${version.version}`;
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corsHint.style.display = 'none';
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logConnection('info', `Ollama v${version.version}`);
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} catch (err) {
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badge.textContent = '✗ 未连接';
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badge.className = 'status-badge error';
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verEl.textContent = '';
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logError('连接检测失败', (err as Error).message);
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if ((err as Error).message.includes('Failed to fetch') || (err as Error).message.includes('NetworkError') || (err as Error).message.includes('CORS')) {
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corsHint.style.display = '';
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} else {
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corsHint.style.display = 'none';
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}
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}
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}
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export async function updateRunningModels(): Promise<void> {
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const api = state.get<OllamaAPI>(KEYS.API);
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if (!api) return;
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const container = document.querySelector('#runningModels')!;
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try {
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const data = await api.psModels();
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if (!data.models || data.models.length === 0) {
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container.innerHTML = '<p class="text-muted">无运行中的模型</p>';
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return;
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}
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container.innerHTML = data.models.map(m => `
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<div class="running-model">
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<span class="model-name">${m.name}</span>
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<span class="model-vram">${formatSize(m.size_vram || 0)} VRAM</span>
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</div>
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`).join('');
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} catch {
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container.innerHTML = '<p class="text-muted">无法获取运行信息</p>';
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}
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}
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