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Q34: AIOpsAssistant 巨型组件拆分 (505L→288L, 提取 aiops-assistant/ 5 文件)

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AIOpsAssistant.tsx (505L) → 288L (-43%)
提取 5 个独立文件到 aiops-assistant/ 子目录:
- types.ts (39L): Message/QuickAction 接口 + defaultConfig + fmtTime
- context-loaders.ts (69L): loadAlertsContext/loadMetricsContext/loadReportContext
  3 个平台数据加载纯函数 (告警/Agent指标/仪表盘综合数据)
- quick-actions.tsx (17L): quickActions 数组 (4 快捷操作)
- ChatMessage.tsx (47L): 消息气泡 (streaming/thinking/error 三态 + 光标)
- AssistantSidebar.tsx (76L): 快捷操作卡片 + 能力清单卡片

验证: tsc -b=0, npm build✓ (17.68s), ESLint errors=0/any=0,
go build=0, 17/17 集成测试通过
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attacker committed 2026-07-10 01:23:34 +08:00
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commit c7d050f1bc
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+270 -238
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ROADMAP.md
+1
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@@ -505,6 +505,7 @@ services/api.ts (1324L)
| Q31 | 前端巨型组件拆分（PromDsFormDialog 528L→294L (-44%)，提取 6 个文件 (CollapsibleSection 42L 通用折叠包装器 DRY 3 个重复折叠模式 + AuthSection 107L 认证折叠 + HeadersSection 64L 自定义Headers + AlertingSection 58L 告警折叠 + MiscSection 47L 杂项折叠 + TestResultBanner 32L 测试结果横幅)，3 个折叠区块全部使用共享 CollapsibleSection 消除重复 JSX)） | P0 | **done** |
| Q32 | 前端巨型组件拆分（AuditOperationsTab 527L→275L (-48%)，提取 audit-operations/ 3 个文件 (types 43L normalizeLog 纯函数+AuditStatistics 接口 + LogDetailDialog 85L 详情弹窗+DetailRow + StatisticsDialog 108L 统计弹窗+StatCard)，清除死代码 useConfirm/_confirm/_handleShowStats/statsOpen/statistics/statsLoading，ESLint errors=0/any=0，tsc -b=0，npm build✓，go build=0，17/17 测试通过） | P0 | **done** |
| Q33 | 前端巨型组件拆分（DashboardRecent 518L→25L (-95%)，提取 dashboard-recent/ 7 个文件 (types 48L + shared-components(StatusDot/SeverityBadge) 35L + AlertMessagesCard 72L + CertificateExpiryCard 99L + ReleaseHistoryCard 99L + OpsOverviewCard 77L + KubernetesClusterCard 97L)，主文件改为 barrel re-export 保持向后兼容，tsc -b=0，npm build✓，ESLint=0/0/0，go build=0，17/17 测试通过） | P0 | **done** |
| Q34 | 前端巨型组件拆分（AIOpsAssistant 505L→288L (-43%)，提取 aiops-assistant/ 5 个文件 (types 39L Message/QuickAction/defaultConfig/fmtTime + context-loaders.ts 69L loadAlerts/loadMetrics/loadReport 3 个平台数据加载纯函数 + quick-actions.tsx 17L + ChatMessage 47L 消息气泡(含 streaming/thinking/error 状态) + AssistantSidebar 76L 快捷操作+能力卡片)，tsc -b=0，npm build✓，ESLint=0/0/0，go build=0，17/17 测试通过） | P0 | **done** |
---
frontend/src/components/aiops/AIOpsAssistant.tsx
+21 -238
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@@ -1,144 +1,31 @@
import { useState, useRef, useEffect } from 'react';
import { useNavigate } from 'react-router-dom';
import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
import { Card, CardContent, CardHeader } from '@/components/ui/card';
import { Button } from '@/components/ui/button';
import { Input } from '@/components/ui/input';
import { Badge } from '@/components/ui/badge';
import { ScrollArea } from '@/components/ui/scroll-area';
import { Avatar, AvatarFallback } from '@/components/ui/avatar';
import { toast } from 'sonner';
import { aiApi, alertApi, agentApi, dashboardStatsApi, type LLMConfigData, type ChatHistoryItem } from '@/api';
import { aiApi, type LLMConfigData, type ChatHistoryItem } from '@/api';
import {
Bot,
Send,
Settings,
AlertTriangle,
Activity,
FileText,
TrendingUp,
Terminal,
RotateCw,
User,
MessageSquare,
Brain,
Loader2,
CheckCircle2,
Square,
} from 'lucide-react';
import type { JsonData } from '@/types/common';
import { PageShell } from '@/components/layout/PageShell';
import { useTranslation } from 'react-i18next';
import i18n from '@/i18n';
const defaultConfig: LLMConfigData = {
provider: 'openai',
model: 'gpt-4o-mini',
api_key: '',
endpoint: 'https://api.openai.com/v1',
temperature: 0.7,
max_tokens: 2000,
system_prompt: '',
enabled: false,
reasoning_enabled: false,
};
// ============ 快捷操作平台数据加载器（注入真实运维上下文） // Logan.Li ============
// 拉取最近告警事件，格式化为紧凑列表供 LLM 分析
async function loadAlertsContext(): Promise<string> {
const res = await alertApi.getAlerts({ page: 1, page_size: 20 });
const alerts: JsonData[] = (res as JsonData)?.list || [];
if (!alerts.length) return i18n.t('aiops.noAlertsNow');
const lines = alerts.slice(0, 15).map((a, i) =>
`${i + 1}. [${a.severity || i18n.t('common.unknown')}|${a.status || '-'}] ${a.rule_name || i18n.t('dashboard.stat.alerts')} → 目标:${a.target || '-'} 值:${a.value ?? '-'} 时间:${(a.started_at || '').slice(0, 16)}`,
);
const firing = alerts.filter((a) => a.status === 'firing').length;
return `共 ${alerts.length} 条告警（firing ${firing} 条），前 ${Math.min(15, alerts.length)} 条：\n${lines.join('\n')}`;
}
// 拉取 Agent 实时主机指标，识别高负载主机
async function loadMetricsContext(): Promise<string> {
const res = await agentApi.getLatest();
const hosts: JsonData[] = Array.isArray(res) ? res : (res as JsonData)?.list || [];
if (!hosts.length) return i18n.t('aiops.noAgentData');
const lines = hosts.slice(0, 20).map((h, i) => {
const cpu = h.cpu_usage ?? '-';
const mem = h.mem_usage ?? '-';
return `${i + 1}. ${h.hostname || '-'} | CPU:${cpu}% | 内存:${mem}% (${h.mem_used ?? '-'}/${h.mem_total ?? '-'}GB) | 核数:${h.cpu_cores ?? '-'} | 上报:${(h.report_time || '').slice(0, 16)}`;
});
const hot = hosts.filter((h) => (h.cpu_usage ?? 0) >= 80 || (h.mem_usage ?? 0) >= 80);
const note = hot.length
? `\n⚠️ 高负载主机 ${hot.length} 台：${hot.map((h) => `${h.hostname}(CPU${h.cpu_usage}%/MEM${h.mem_usage}%)`).join('、')}`
: '';
return `Agent 监控的 ${hosts.length} 台主机实时指标：\n${lines.join('\n')}${note}`;
}
// 拉取仪表盘综合数据，生成运维报告上下文
async function loadReportContext(): Promise<string> {
const summary = await aiApi.getContextSummary();
if (summary) {
const alertLines = (summary.recent_alerts || []).slice(0, 10).map((a, i) =>
`${i + 1}.[${a.severity || '?'}|${a.status || '?'}] ${a.rule_name || '-'} → ${a.target || '-'}`,
);
const highLoadLines = (summary.high_load_hosts || []).slice(0, 8).map((h, i) =>
`${i + 1}.${h.hostname || h.ip} CPU:${h.cpu_usage}% MEM:${h.memory_usage}% DISK:${h.disk_usage}% Agent:${h.agent_status}`,
);
return [
`平台概览：服务器:${summary.server_total}(在线${summary.server_online}) | Kubernetes集群:${summary.cluster_total} | 平台告警:${summary.firing_alerts} | Agent未恢复告警:${summary.unresolved_alerts}`,
'',
'高负载资产：',
highLoadLines.join('\n') || i18n.t('aiops.noneFallback'),
'',
'最近告警：',
alertLines.join('\n') || i18n.t('aiops.noneFallback'),
].join('\n');
}
const [stats, alerts, releases] = await Promise.all([
dashboardStatsApi.getStats().catch(() => null),
dashboardStatsApi.getAlerts(10).catch(() => null),
dashboardStatsApi.getReleases(10).catch(() => null),
]);
const s: JsonData = stats || {};
const ss = s.server_stats || {}, ks = s.kubernetes_stats || {}, as = s.alert_stats || {}, ps = s.pipeline_stats || {}, cs = s.cost_stats || {};
const overview = `服务器:${ss.total ?? 0}(运行${ss.running ?? 0}) | Kubernetes集群:${ks.total ?? 0} 节点:${ks.total_nodes ?? 0} Pod:${ks.total_pods ?? 0} | 告警:${as.total ?? 0}(firing ${as.firing ?? 0}) | 流水线:${ps.total ?? 0}(成功率${ps.success_rate ?? 0}%) | 本月成本:¥${cs.month_cost ?? 0}`;
const alertList: JsonData[] = Array.isArray(alerts) ? alerts : (alerts as JsonData)?.list || [];
const releaseList: JsonData[] = Array.isArray(releases) ? releases : (releases as JsonData)?.list || [];
const alertLines = alertList.slice(0, 10).map((a, i) => `${i + 1}.[${a.severity || '?'}|${a.status || '?'}] ${a.rule_name || '-'} → ${a.target || '-'}`);
const releaseLines = releaseList.slice(0, 10).map((r, i) => `${i + 1}.${r.app_name || '-'} ${r.version || ''} [${r.environment || '-'}/${r.status || '-'}] by ${r.author || '-'}`);
return `平台概览：${overview}\n\n最近告警：\n${alertLines.join('\n') || i18n.t('aiops.noneFallback')}\n\n最近发布：\n${releaseLines.join('\n') || i18n.t('aiops.noneFallback')}`;
}
// 快捷操作类型（contextLoader 可选，支持未来无数据加载的纯文本操作） // Logan.Li
interface QuickAction {
id: string;
name: string;
icon: typeof AlertTriangle;
prompt: string;
contextLoader?: () => Promise<string>;
}
// 快捷操作（已配置 LLM 时自动拉取真实平台数据注入上下文后发送） // Logan.Li
const quickActions: QuickAction[] = [
{ id: 'alerts', name: i18n.t('aiops.analyzeTodayAlerts'), icon: AlertTriangle, prompt: i18n.t('aiops.analyzeAlertsPrompt'), contextLoader: loadAlertsContext },
{ id: 'performance', name: i18n.t('aiops.perfAnalysis'), icon: Activity, prompt: i18n.t('aiops.perfBottleneckPrompt'), contextLoader: loadMetricsContext },
{ id: 'report', name: i18n.t('aiops.dailyOpsReport'), icon: FileText, prompt: i18n.t('aiops.opsReportPrompt'), contextLoader: loadReportContext },
{ id: 'optimize', name: i18n.t('aiops.resourceOptAdvice'), icon: TrendingUp, prompt: i18n.t('aiops.capacityPlanPrompt'), contextLoader: loadMetricsContext },
];
interface Message {
id: string;
role: 'user' | 'assistant';
content: string;
timestamp: string;
isError?: boolean;
isStopped?: boolean;
}
// 格式化时间为 HH:MM // Logan.Li
function fmtTime(iso: string): string {
const d = new Date(iso);
return d.toLocaleTimeString('zh-CN', { hour: '2-digit', minute: '2-digit' });
}
import type { Message, QuickAction } from './aiops-assistant/types';
import { defaultConfig } from './aiops-assistant/types';
import { quickActions } from './aiops-assistant/quick-actions';
import { ChatMessage } from './aiops-assistant/ChatMessage';
import { AssistantSidebar } from './aiops-assistant/AssistantSidebar';
export function AIOpsAssistant() {
const { t } = useTranslation();
@@ -146,15 +33,12 @@ export function AIOpsAssistant() {
const [messages, setMessages] = useState<Message[]>([]);
const [input, setInput] = useState('');
const [isLoading, setIsLoading] = useState(false);
// 用于中止流式生成（点击t('common.stop')按钮时 abort） // Logan.Li
const abortRef = useRef<AbortController | null>(null);
// 组件卸载时中止进行中的流式请求，避免 setState on unmounted // Logan.Li
useEffect(() => () => abortRef.current?.abort(), []);
const [config, setConfig] = useState<LLMConfigData>(defaultConfig);
const [configReady, setConfigReady] = useState(false); // 已配置且启用
const [contextLoading, setContextLoading] = useState<string | null>(null); // 快捷操作拉取平台数据中
// 会话 ID：前端生成 UUID，用于隔离多轮对话 // Logan.Li
// crypto.randomUUID() 需要 HTTPS/secure context，HTTP 环境用 fallback
const [configReady, setConfigReady] = useState(false);
const [contextLoading, setContextLoading] = useState<string | null>(null);
const generateUUID = (): string => {
try { return crypto.randomUUID(); } catch { /* HTTP fallback below */ }
return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, (c) => {
@@ -165,11 +49,9 @@ export function AIOpsAssistant() {
const [sessionId, setSessionId] = useState(() => generateUUID());
const messagesEndRef = useRef<HTMLDivElement>(null);
// 滚动到底部 // Logan.Li
const scrollToBottom = () => messagesEndRef.current?.scrollIntoView({ behavior: 'smooth' });
useEffect(() => { scrollToBottom(); }, [messages]);
// 加载 LLM 配置 // Logan.Li
const loadConfig = async () => {
try {
const cfg = await aiApi.getConfig();
@@ -180,7 +62,6 @@ export function AIOpsAssistant() {
}
};
// 加载历史对话（按 session 隔离） // Logan.Li
const loadHistory = async () => {
try {
const res = await aiApi.getHistory(sessionId);
@@ -203,7 +84,6 @@ export function AIOpsAssistant() {
// eslint-disable-next-line react-hooks/exhaustive-deps
}, []);
// 发送一条消息的核心逻辑（流式输出，逐步填充助手气泡） // Logan.Li
const sendMessage = async (text: string) => {
const userMsg: Message = {
id: Date.now().toString(),
@@ -215,24 +95,19 @@ export function AIOpsAssistant() {
const newMessages: Message[] = [
...messages,
userMsg,
// 预先插入空助手消息，随流式内容逐步填充
{ id: assistantId, role: 'assistant', content: '', timestamp: new Date().toISOString() },
];
setMessages(newMessages);
setIsLoading(true);
// 创建 AbortController 以支持\"停止生成\" // Logan.Li
const controller = new AbortController();
abortRef.current = controller;
// 用于在收到第一个 chunk 前显示t('aiops.thinking')占位
let firstChunkArrived = false;
try {
// 仅保留最近 10 条上下文避免 token 超限（不含刚插入的空助手消息） // Logan.Li
const history = [...messages, userMsg]
.slice(-10)
.map((m) => ({ role: m.role, content: m.content }));
await aiApi.chatStream(history, (delta) => {
firstChunkArrived = true;
// 逐块追加到助手消息内容
setMessages((prev) =>
prev.map((m) =>
m.id === assistantId ? { ...m, content: m.content + delta } : m,
@@ -240,7 +115,6 @@ export function AIOpsAssistant() {
);
}, controller.signal, sessionId);
} catch (e) {
// 用户主动中止：保留已生成的部分内容，不当作错误 // Logan.Li
if (controller.signal.aborted) {
setMessages((prev) =>
prev.map((m) =>
@@ -273,7 +147,6 @@ export function AIOpsAssistant() {
}
};
// 输入框发送 // Logan.Li
const handleSend = async () => {
const text = input.trim();
if (!text || isLoading) return;
@@ -281,15 +154,12 @@ export function AIOpsAssistant() {
await sendMessage(text);
};
// 快捷操作：已配置 LLM 时拉取真实平台数据注入上下文后自动发送；未配置则仅填入输入框 // Logan.Li
const handleQuickAction = async (action: QuickAction) => {
if (isLoading || contextLoading) return;
// 未配置或无数据加载器时，回退到填入输入框
if (!configReady || !action.contextLoader) {
setInput(action.prompt);
return;
}
// 拉取真实平台数据，失败时注入错误说明而非中断
setContextLoading(action.id);
let context = '';
try {
@@ -303,7 +173,6 @@ export function AIOpsAssistant() {
await sendMessage(fullPrompt);
};
// 新对话（生成新 session_id，清空本地 + 后端持久化历史） // Logan.Li
const handleNewChat = async () => {
try {
await aiApi.clearHistory();
@@ -317,7 +186,6 @@ export function AIOpsAssistant() {
toast.success(t('aiops.newConversationStarted'));
};
return (
<PageShell
variant="workspace"
@@ -331,61 +199,16 @@ export function AIOpsAssistant() {
) : undefined}
contentClassName="grid grid-cols-4 gap-6 h-[calc(100vh-200px)]"
>
{/* Sidebar */}
<div className="col-span-1 space-y-4">
<Card className="dg-card">
<CardHeader className="pb-3">
<CardTitle className="text-sm text-[var(--dg-text-secondary)]">{t('aiops.quickActions')}</CardTitle>
</CardHeader>
<CardContent className="space-y-2">
{quickActions.map((action) => (
<Button
key={action.id}
variant="ghost"
className="w-full justify-start text-[var(--dg-text-secondary)] hover:text-[var(--dg-text-primary)] hover:bg-[var(--dg-bg-hover)]"
disabled={isLoading || contextLoading !== null}
onClick={() => handleQuickAction(action)}
>
{contextLoading === action.id ? (
<Loader2 className="h-4 w-4 mr-2 shrink-0 animate-spin" />
) : (
<action.icon className="h-4 w-4 mr-2 shrink-0" />
)}
<span className="text-sm">{action.name}</span>
{configReady && action.contextLoader && (
<span className="ml-auto text-[10px] dg-text-green/60 shrink-0">{t('common.realtime')}</span>
)}
</Button>
))}
</CardContent>
</Card>
<Card className="dg-card">
<CardHeader className="pb-3">
<CardTitle className="text-sm text-[var(--dg-text-secondary)]">{t('aiops.capabilities')}</CardTitle>
</CardHeader>
<CardContent className="space-y-3">
<div className="flex items-center gap-2 text-sm dg-text-secondary">
<AlertTriangle className="h-4 w-4 dg-text-yellow" />
<span>{t('aiops.alertAnalysisTitle')}</span>
</div>
<div className="flex items-center gap-2 text-sm dg-text-secondary">
<Activity className="h-4 w-4 dg-text-blue" />
<span>{t('aiops.performanceBottleneck')}</span>
</div>
<div className="flex items-center gap-2 text-sm dg-text-secondary">
<FileText className="h-4 w-4 dg-text-green" />
<span>{t('aiops.autoReportGen')}</span>
</div>
<div className="flex items-center gap-2 text-sm dg-text-secondary">
<Terminal className="h-4 w-4 dg-text-purple" />
<span>{t('aiops.autoScriptGenerated')}</span>
</div>
</CardContent>
</Card>
<div className="col-span-1">
<AssistantSidebar
actions={quickActions}
isLoading={isLoading}
contextLoading={contextLoading}
configReady={configReady}
onAction={handleQuickAction}
/>
</div>
{/* Chat Area */}
<Card className="col-span-3 dg-card flex flex-col">
<CardHeader className="border-b border-[var(--dg-border)] pb-3">
<div className="flex items-center justify-between">
@@ -427,48 +250,9 @@ export function AIOpsAssistant() {
)}
</div>
)}
{messages.map((message) => {
// 流式中：助手消息内容为空且正在加载时显示t('aiops.thinking')占位 // Logan.Li
const isStreaming = isLoading && message.role === 'assistant' && message.content === '';
return (
<div key={message.id} className={`flex gap-3 ${message.role === 'user' ? 'flex-row-reverse' : ''}`}>
<Avatar className={message.role === 'assistant' ? 'bg-purple-500' : 'bg-blue-500'}>
<AvatarFallback>
{message.role === 'assistant' ? <Bot className="h-4 w-4" /> : <User className="h-4 w-4" />}
</AvatarFallback>
</Avatar>
<div className={`max-w-[80%] ${message.role === 'user' ? 'text-right' : ''}`}>
<div
className={`inline-block rounded-lg p-3 text-left whitespace-pre-wrap break-words ${
message.isError
? 'bg-red-900/30 border border-red-500/30 dg-text-red'
: message.role === 'assistant'
? 'bg-[var(--dg-bg-tertiary)] text-[var(--dg-text-primary)]'
: 'bg-blue-600 text-white'
}`}
>
{isStreaming ? (
<div className="flex items-center gap-2 dg-text-secondary">
<Loader2 className="h-4 w-4 animate-spin" />
<span className="text-sm">{t('aiops.thinking')}</span>
</div>
) : (
message.content
)}
{/* 流式接收中且已有内容时，显示末尾闪烁光标提示 */}
{isLoading && message.role === 'assistant' && !isStreaming && message.content && (
<span className="inline-block w-2 h-4 ml-0.5 bg-purple-400 animate-pulse align-middle" />
)}
</div>
<div className="text-xs dg-text-muted mt-1">
{fmtTime(message.timestamp)}
{message.isStopped && <span className="ml-2 dg-text-muted">{t('aiops.stoppedParen')}</span>}
</div>
</div>
</div>
);
})}
{/* 流式输出时占位气泡已包含t('aiops.thinking')提示，无需独立 spinner */}
{messages.map((message) => (
<ChatMessage key={message.id} message={message} isLoading={isLoading} />
))}
<div ref={messagesEndRef} />
</div>
</ScrollArea>
@@ -486,7 +270,6 @@ export function AIOpsAssistant() {
<Button className="bg-purple-600 hover:bg-purple-700" onClick={handleSend} disabled={isLoading || !input.trim()}>
<Send className="h-4 w-4" />
</Button>
{/* 流式生成中显示\"停止生成\"按钮，中止当前请求 // Logan.Li */}
{isLoading && (
<Button
variant="outline"
frontend/src/components/aiops/aiops-assistant/AssistantSidebar.tsx
+76
View File
@@ -0,0 +1,76 @@
import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
import { Button } from '@/components/ui/button';
import { Loader2, AlertTriangle, Activity, FileText, Terminal } from 'lucide-react';
import { useTranslation } from 'react-i18next';
import type { QuickAction } from './types';
export function AssistantSidebar({
actions,
isLoading,
contextLoading,
configReady,
onAction,
}: {
actions: QuickAction[];
isLoading: boolean;
contextLoading: string | null;
configReady: boolean;
onAction: (action: QuickAction) => void;
}) {
const { t } = useTranslation();
return (
<div className="space-y-4">
<Card className="dg-card">
<CardHeader className="pb-3">
<CardTitle className="text-sm text-[var(--dg-text-secondary)]">{t('aiops.quickActions')}</CardTitle>
</CardHeader>
<CardContent className="space-y-2">
{actions.map((action) => (
<Button
key={action.id}
variant="ghost"
className="w-full justify-start text-[var(--dg-text-secondary)] hover:text-[var(--dg-text-primary)] hover:bg-[var(--dg-bg-hover)]"
disabled={isLoading || contextLoading !== null}
onClick={() => onAction(action)}
>
{contextLoading === action.id ? (
<Loader2 className="h-4 w-4 mr-2 shrink-0 animate-spin" />
) : (
<action.icon className="h-4 w-4 mr-2 shrink-0" />
)}
<span className="text-sm">{action.name}</span>
{configReady && action.contextLoader && (
<span className="ml-auto text-[10px] dg-text-green/60 shrink-0">{t('common.realtime')}</span>
)}
</Button>
))}
</CardContent>
</Card>
<Card className="dg-card">
<CardHeader className="pb-3">
<CardTitle className="text-sm text-[var(--dg-text-secondary)]">{t('aiops.capabilities')}</CardTitle>
</CardHeader>
<CardContent className="space-y-3">
<div className="flex items-center gap-2 text-sm dg-text-secondary">
<AlertTriangle className="h-4 w-4 dg-text-yellow" />
<span>{t('aiops.alertAnalysisTitle')}</span>
</div>
<div className="flex items-center gap-2 text-sm dg-text-secondary">
<Activity className="h-4 w-4 dg-text-blue" />
<span>{t('aiops.performanceBottleneck')}</span>
</div>
<div className="flex items-center gap-2 text-sm dg-text-secondary">
<FileText className="h-4 w-4 dg-text-green" />
<span>{t('aiops.autoReportGen')}</span>
</div>
<div className="flex items-center gap-2 text-sm dg-text-secondary">
<Terminal className="h-4 w-4 dg-text-purple" />
<span>{t('aiops.autoScriptGenerated')}</span>
</div>
</CardContent>
</Card>
</div>
);
}
frontend/src/components/aiops/aiops-assistant/ChatMessage.tsx
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import { Avatar, AvatarFallback } from '@/components/ui/avatar';
import { Bot, User, Loader2 } from 'lucide-react';
import { useTranslation } from 'react-i18next';
import type { Message } from './types';
import { fmtTime } from './types';
export function ChatMessage({ message, isLoading }: { message: Message; isLoading: boolean }) {
const { t } = useTranslation();
const isStreaming = isLoading && message.role === 'assistant' && message.content === '';
return (
<div className={`flex gap-3 ${message.role === 'user' ? 'flex-row-reverse' : ''}`}>
<Avatar className={message.role === 'assistant' ? 'bg-purple-500' : 'bg-blue-500'}>
<AvatarFallback>
{message.role === 'assistant' ? <Bot className="h-4 w-4" /> : <User className="h-4 w-4" />}
</AvatarFallback>
</Avatar>
<div className={`max-w-[80%] ${message.role === 'user' ? 'text-right' : ''}`}>
<div
className={`inline-block rounded-lg p-3 text-left whitespace-pre-wrap break-words ${
message.isError
? 'bg-red-900/30 border border-red-500/30 dg-text-red'
: message.role === 'assistant'
? 'bg-[var(--dg-bg-tertiary)] text-[var(--dg-text-primary)]'
: 'bg-blue-600 text-white'
}`}
>
{isStreaming ? (
<div className="flex items-center gap-2 dg-text-secondary">
<Loader2 className="h-4 w-4 animate-spin" />
<span className="text-sm">{t('aiops.thinking')}</span>
</div>
) : (
message.content
)}
{isLoading && message.role === 'assistant' && !isStreaming && message.content && (
<span className="inline-block w-2 h-4 ml-0.5 bg-purple-400 animate-pulse align-middle" />
)}
</div>
<div className="text-xs dg-text-muted mt-1">
{fmtTime(message.timestamp)}
{message.isStopped && <span className="ml-2 dg-text-muted">{t('aiops.stoppedParen')}</span>}
</div>
</div>
</div>
);
}
frontend/src/components/aiops/aiops-assistant/context-loaders.ts
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import { alertApi, agentApi, aiApi, dashboardStatsApi } from '@/api';
import type { JsonData } from '@/types/common';
import i18n from '@/i18n';
/** 拉取最近告警事件，格式化为紧凑列表供 LLM 分析 */
export async function loadAlertsContext(): Promise<string> {
const res = await alertApi.getAlerts({ page: 1, page_size: 20 });
const alerts: JsonData[] = (res as JsonData)?.list || [];
if (!alerts.length) return i18n.t('aiops.noAlertsNow');
const lines = alerts.slice(0, 15).map((a, i) =>
`${i + 1}. [${a.severity || i18n.t('common.unknown')}|${a.status || '-'}] ${a.rule_name || i18n.t('dashboard.stat.alerts')} → 目标:${a.target || '-'} 值:${a.value ?? '-'} 时间:${(a.started_at || '').slice(0, 16)}`,
);
const firing = alerts.filter((a) => a.status === 'firing').length;
return `共 ${alerts.length} 条告警（firing ${firing} 条），前 ${Math.min(15, alerts.length)} 条：\n${lines.join('\n')}`;
}
/** 拉取 Agent 实时主机指标，识别高负载主机 */
export async function loadMetricsContext(): Promise<string> {
const res = await agentApi.getLatest();
const hosts: JsonData[] = Array.isArray(res) ? res : (res as JsonData)?.list || [];
if (!hosts.length) return i18n.t('aiops.noAgentData');
const lines = hosts.slice(0, 20).map((h, i) => {
const cpu = h.cpu_usage ?? '-';
const mem = h.mem_usage ?? '-';
return `${i + 1}. ${h.hostname || '-'} | CPU:${cpu}% | 内存:${mem}% (${h.mem_used ?? '-'}/${h.mem_total ?? '-'}GB) | 核数:${h.cpu_cores ?? '-'} | 上报:${(h.report_time || '').slice(0, 16)}`;
});
const hot = hosts.filter((h) => (h.cpu_usage ?? 0) >= 80 || (h.mem_usage ?? 0) >= 80);
const note = hot.length
? `\n⚠️ 高负载主机 ${hot.length} 台：${hot.map((h) => `${h.hostname}(CPU${h.cpu_usage}%/MEM${h.mem_usage}%)`).join('、')}`
: '';
return `Agent 监控的 ${hosts.length} 台主机实时指标：\n${lines.join('\n')}${note}`;
}
/** 拉取仪表盘综合数据，生成运维报告上下文 */
export async function loadReportContext(): Promise<string> {
const summary = await aiApi.getContextSummary();
if (summary) {
const alertLines = (summary.recent_alerts || []).slice(0, 10).map((a: JsonData, i: number) =>
`${i + 1}.[${a.severity || '?'}|${a.status || '?'}] ${a.rule_name || '-'} → ${a.target || '-'}`,
);
const highLoadLines = (summary.high_load_hosts || []).slice(0, 8).map((h: JsonData, i: number) =>
`${i + 1}.${h.hostname || h.ip} CPU:${h.cpu_usage}% MEM:${h.memory_usage}% DISK:${h.disk_usage}% Agent:${h.agent_status}`,
);
return [
`平台概览：服务器:${summary.server_total}(在线${summary.server_online}) | Kubernetes集群:${summary.cluster_total} | 平台告警:${summary.firing_alerts} | Agent未恢复告警:${summary.unresolved_alerts}`,
'',
'高负载资产：',
highLoadLines.join('\n') || i18n.t('aiops.noneFallback'),
'',
'最近告警：',
alertLines.join('\n') || i18n.t('aiops.noneFallback'),
].join('\n');
}
const [stats, alerts, releases] = await Promise.all([
dashboardStatsApi.getStats().catch(() => null),
dashboardStatsApi.getAlerts(10).catch(() => null),
dashboardStatsApi.getReleases(10).catch(() => null),
]);
const s: JsonData = stats || {};
const ss = s.server_stats || {}, ks = s.kubernetes_stats || {}, as = s.alert_stats || {}, ps = s.pipeline_stats || {}, cs = s.cost_stats || {};
const overview = `服务器:${ss.total ?? 0}(运行${ss.running ?? 0}) | Kubernetes集群:${ks.total ?? 0} 节点:${ks.total_nodes ?? 0} Pod:${ks.total_pods ?? 0} | 告警:${as.total ?? 0}(firing ${as.firing ?? 0}) | 流水线:${ps.total ?? 0}(成功率${ps.success_rate ?? 0}%) | 本月成本:¥${cs.month_cost ?? 0}`;
const alertList: JsonData[] = Array.isArray(alerts) ? alerts : (alerts as JsonData)?.list || [];
const releaseList: JsonData[] = Array.isArray(releases) ? releases : (releases as JsonData)?.list || [];
const alertLines = alertList.slice(0, 10).map((a: JsonData, i: number) => `${i + 1}.[${a.severity || '?'}|${a.status || '?'}] ${a.rule_name || '-'} → ${a.target || '-'}`);
const releaseLines = releaseList.slice(0, 10).map((r: JsonData, i: number) => `${i + 1}.${r.app_name || '-'} ${r.version || ''} [${r.environment || '-'}/${r.status || '-'}] by ${r.author || '-'}`);
return `平台概览：${overview}\n\n最近告警：\n${alertLines.join('\n') || i18n.t('aiops.noneFallback')}\n\n最近发布：\n${releaseLines.join('\n') || i18n.t('aiops.noneFallback')}`;
}
frontend/src/components/aiops/aiops-assistant/quick-actions.tsx
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import {
AlertTriangle,
Activity,
FileText,
TrendingUp,
} from 'lucide-react';
import i18n from '@/i18n';
import type { QuickAction } from './types';
import { loadAlertsContext, loadMetricsContext, loadReportContext } from './context-loaders';
/** 快捷操作（已配置 LLM 时自动拉取真实平台数据注入上下文后发送） */
export const quickActions: QuickAction[] = [
{ id: 'alerts', name: i18n.t('aiops.analyzeTodayAlerts'), icon: AlertTriangle, prompt: i18n.t('aiops.analyzeAlertsPrompt'), contextLoader: loadAlertsContext },
{ id: 'performance', name: i18n.t('aiops.perfAnalysis'), icon: Activity, prompt: i18n.t('aiops.perfBottleneckPrompt'), contextLoader: loadMetricsContext },
{ id: 'report', name: i18n.t('aiops.dailyOpsReport'), icon: FileText, prompt: i18n.t('aiops.opsReportPrompt'), contextLoader: loadReportContext },
{ id: 'optimize', name: i18n.t('aiops.resourceOptAdvice'), icon: TrendingUp, prompt: i18n.t('aiops.capacityPlanPrompt'), contextLoader: loadMetricsContext },
];
frontend/src/components/aiops/aiops-assistant/types.ts
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import type { LLMConfigData } from '@/api';
/** 默认 LLM 配置 */
export const defaultConfig: LLMConfigData = {
provider: 'openai',
model: 'gpt-4o-mini',
api_key: '',
endpoint: 'https://api.openai.com/v1',
temperature: 0.7,
max_tokens: 2000,
system_prompt: '',
enabled: false,
reasoning_enabled: false,
};
/** 快捷操作类型（contextLoader 可选，支持未来无数据加载的纯文本操作） */
export interface QuickAction {
id: string;
name: string;
icon: typeof import('lucide-react').AlertTriangle;
prompt: string;
contextLoader?: () => Promise<string>;
}
/** 聊天消息类型 */
export interface Message {
id: string;
role: 'user' | 'assistant';
content: string;
timestamp: string;
isError?: boolean;
isStopped?: boolean;
}
/** 格式化时间为 HH:MM */
export function fmtTime(iso: string): string {
const d = new Date(iso);
return d.toLocaleTimeString('zh-CN', { hour: '2-digit', minute: '2-digit' });
}