feat(monitor): F4 自定义监控仪表盘 — mock 桩改真实 CRUD + PromQL 查询渲染

后端:
- 新增 model/custom_dashboard.go (monitor_custom_dashboards 表)
- 新增 controller/custom_dashboard.go (CRUD + 设默认, 6 路由)
- routes.go 注册 /custom-dashboards 路由组
- database.go AutoMigrate 注册 CustomDashboard

前端:
- grafana.ts: dashboardApi 从 mock 返回空改为真实 HTTP 调用
- metrics.ts: prometheusProxyApi 新增 query/queryRange 方法
- GrafanaPanelContent.tsx: 从随机 mock 数据改为执行 PromQL 查询
  + Recharts LineChart 渲染 graph 类型
  + SVG gauge 渲染 gauge 类型
  + 数值卡片渲染 stat 类型
  + 表格渲染 table 类型
  + 30s 自动刷新 + loading/error 状态
  + 自动发现默认 Prometheus 数据源
- GrafanaDashboard.tsx: 传递 datasourceUrl 到 GrafanaPanelContent

验证: go build✅ npm build✅ 17/17 集成测试通过 E2E CRUD 全通过
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attacker committed 2026-06-27 23:28:04 +08:00
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commit f725ca7cac
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+51 -8
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@@ -1,13 +1,56 @@
// Grafana 仪表盘 API(暂无后端,返回空结果优雅降级) // Logan.Li
// Q1 类型安全: 对接 types/monitor.ts(GrafanaDashboard)
// 自定义监控仪表盘 API // Logan.Li
import { http } from '@/utils/request';
import type { GrafanaDashboard } from '@/types/monitor';
export const dashboardApi = {
getDashboards: async (): Promise<{ data: GrafanaDashboard[]; total: number }> => ({ data: [], total: 0 }),
getDatasources: async (): Promise<{ data: Record<string, unknown>[]; total: number }> => ({ data: [], total: 0 }),
createDashboard: async (_data: Partial<GrafanaDashboard>): Promise<{ success: boolean }> => ({ success: false }),
updateDashboard: async (_id: number | string, _data: Partial<GrafanaDashboard>): Promise<{ success: boolean }> => ({ success: false }),
deleteDashboard: async (_id: number | string): Promise<{ success: boolean }> => ({ success: false }),
createDatasource: async (_data: Record<string, unknown>): Promise<{ success: boolean }> => ({ success: false }),
getDashboards: async (): Promise<{ data: GrafanaDashboard[]; total: number }> => {
const res = await http.get('/custom-dashboards');
// http 自动解包 .data,后端返回 {list, total}
const body = (res as Record<string, unknown>) ?? {};
const list = (body.list as GrafanaDashboard[]) ?? [];
const total = (body.total as number) ?? list.length;
return { data: list, total };
},
getDatasources: async (): Promise<{ data: Record<string, unknown>[]; total: number }> => {
// 复用 Prometheus 数据源列表
const res = await http.get('/prometheus-datasources');
const arr = (res as Record<string, unknown>[]) ?? [];
return { data: arr, total: arr.length };
},
createDashboard: async (data: Partial<GrafanaDashboard>): Promise<{ success: boolean }> => {
// 将 panels 数组序列化为 JSON 字符串
const payload: Record<string, unknown> = {
name: data.name ?? '',
description: data.description ?? '',
datasource: data.datasource ?? 'prometheus',
datasource_url: data.datasourceUrl ?? '',
panels: JSON.stringify(data.panels ?? []),
is_default: data.isDefault ?? false,
};
await http.post('/custom-dashboards', payload);
return { success: true };
},
updateDashboard: async (id: number | string, data: Partial<GrafanaDashboard>): Promise<{ success: boolean }> => {
const payload: Record<string, unknown> = {};
if (data.name !== undefined) payload.name = data.name;
if (data.description !== undefined) payload.description = data.description;
if (data.datasource !== undefined) payload.datasource = data.datasource;
if (data.datasourceUrl !== undefined) payload.datasource_url = data.datasourceUrl;
if (data.panels !== undefined) payload.panels = JSON.stringify(data.panels);
if (data.isDefault !== undefined) payload.is_default = data.isDefault;
await http.put(`/custom-dashboards/${id}`, payload);
return { success: true };
},
deleteDashboard: async (id: number | string): Promise<{ success: boolean }> => {
await http.delete(`/custom-dashboards/${id}`);
return { success: true };
},
setDefault: async (id: number | string): Promise<{ success: boolean }> => {
await http.post(`/custom-dashboards/${id}/default`);
return { success: true };
},
createDatasource: async (_data: Record<string, unknown>): Promise<{ success: boolean }> => {
return { success: false };
},
};
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@@ -25,6 +25,11 @@ export const snmpApi = {
export const prometheusProxyApi = {
connect: (url: string) => http.post('/prometheus/connect', { url }),
dashboard: (url: string, type: string) => http.post('/prometheus/dashboard', { url, type }),
// F4: PromQL 即时查询
query: (url: string, query: string) => http.post('/prometheus/query', { url, query }),
// F4: PromQL 范围查询
queryRange: (params: { url: string; query: string; start?: string; end?: string; step?: string }) =>
http.post('/prometheus/query_range', params),
};
export const zabbixProxyApi = {
@@ -468,7 +468,7 @@ const DashboardTab: React.FC = () => {
{active.panels.map(p => (
<Card key={p.id} style={{ gridColumn: `span ${p.width}`, minHeight: `${p.height * 80}px` }}>
<CardHeader className="py-2 px-3"><CardTitle className="text-[11px] font-medium">{p.title}</CardTitle></CardHeader>
<CardContent className="p-3 pt-0"><GrafanaPanelContent panel={p} /></CardContent>
<CardContent className="p-3 pt-0"><GrafanaPanelContent panel={p} datasourceUrl={active.datasourceUrl} /></CardContent>
</Card>
))}
</div>
@@ -1,77 +1,251 @@
import { TrendingUp } from 'lucide-react';
/* eslint-disable @typescript-eslint/no-explicit-any */
// 面板内容渲染 — 执行 PromQL 查询并渲染真实数据 // Logan.Li
import { useState, useEffect, useCallback } from 'react';
import { TrendingUp, Loader2, AlertCircle } from 'lucide-react';
import { LineChart, Line, ResponsiveContainer, XAxis, YAxis, Tooltip, CartesianGrid } from 'recharts';
import type { Panel } from './GrafanaDashboard';
import { prometheusProxyApi, promDatasourceApi } from '@/api';
/** 模拟图表数据 */
function generateChartData(_panel: Panel) {
const dataPoints = 24;
const data = [];
for (let i = 0; i < dataPoints; i++) {
data.push({
time: new Date(Date.now() - (dataPoints - i) * 3600000).toLocaleTimeString(),
value: Math.random() * 100
// 默认 Prometheus URL 缓存
let _defaultPromURL: string | null = null;
async function getDefaultPromURL(dashboardURL?: string): Promise<string> {
// 1. 优先使用仪表盘指定的 URL
if (dashboardURL) return dashboardURL;
// 2. 缓存命中
if (_defaultPromURL) return _defaultPromURL;
// 3. 查询默认 Prometheus 数据源
try {
const res = await promDatasourceApi.list();
const list = (res as any[]) ?? [];
const def = list.find((d: any) => d.is_default) || list[0];
if (def?.url) {
_defaultPromURL = def.url;
return def.url;
}
} catch {
// ignore
}
return '';
}
// 解析 Prometheus range query 结果
function parseRangeResult(promResult: any): { time: string; value: number }[] {
try {
const result = promResult?.data?.result;
if (!Array.isArray(result) || result.length === 0) return [];
// 取第一条时间序列(多序列时合并取均值)
const series = result[0];
const values = series?.values;
if (!Array.isArray(values)) return [];
return values.map((v: any) => {
const ts = v[0] as number;
const val = parseFloat(v[1] as string) || 0;
const d = new Date(ts * 1000);
return {
time: `${String(d.getHours()).padStart(2, '0')}:${String(d.getMinutes()).padStart(2, '0')}`,
value: Math.round(val * 100) / 100,
};
});
} catch {
return [];
}
}
// 解析 Prometheus instant query 结果
function parseInstantResult(promResult: any): { labels: Record<string, string>; value: number }[] {
try {
const result = promResult?.data?.result;
if (!Array.isArray(result)) return [];
return result.map((r: any) => ({
labels: r.metric ?? {},
value: parseFloat(Array.isArray(r.value) ? r.value[1] : '0') || 0,
}));
} catch {
return [];
}
return data;
}
/** 渲染面板内容 */
export function GrafanaPanelContent({ panel }: { panel: Panel }) {
const data = generateChartData(panel);
export function GrafanaPanelContent({ panel, datasourceUrl }: { panel: Panel; datasourceUrl?: string }) {
const [loading, setLoading] = useState(false);
const [error, setError] = useState('');
const [chartData, setChartData] = useState<{ time: string; value: number }[]>([]);
const [instantData, setInstantData] = useState<{ labels: Record<string, string>; value: number }[]>([]);
const fetchData = useCallback(async () => {
if (!panel.query) return;
setLoading(true);
setError('');
try {
const url = await getDefaultPromURL(datasourceUrl);
if (!url) {
setError('未配置 Prometheus 数据源');
setLoading(false);
return;
}
if (panel.type === 'graph') {
// 范围查询:最近 1 小时,1 分钟步长
const now = Math.floor(Date.now() / 1000);
const start = now - 3600;
const res = await prometheusProxyApi.queryRange({
url,
query: panel.query,
start: String(start),
end: String(now),
step: '1m',
});
const parsed = parseRangeResult(res);
setChartData(parsed.length > 0 ? parsed : []);
if (parsed.length === 0) setError('无数据');
} else {
// stat / gauge / table 用即时查询
const res = await prometheusProxyApi.query(url, panel.query);
const parsed = parseInstantResult(res);
setInstantData(parsed);
if (parsed.length === 0) setError('无数据');
}
} catch (e: any) {
setError(e?.message ? String(e.message).slice(0, 80) : '查询失败');
} finally {
setLoading(false);
}
}, [panel.query, panel.type, datasourceUrl]);
useEffect(() => {
fetchData();
// 自动刷新(每 30s)
const id = setInterval(fetchData, 30000);
return () => clearInterval(id);
}, [fetchData]);
// Loading 状态
if (loading && chartData.length === 0 && instantData.length === 0) {
return (
<div className="flex items-center justify-center h-full min-h-[120px]">
<Loader2 className="w-5 h-5 animate-spin text-[var(--dg-text-muted)]" />
</div>
);
}
// Error 状态
if (error && chartData.length === 0 && instantData.length === 0) {
return (
<div className="flex flex-col items-center justify-center h-full min-h-[120px] text-[var(--dg-text-muted)]">
<AlertCircle className="w-5 h-5 mb-1 opacity-50" />
<span className="text-[11px]">{error}</span>
</div>
);
}
switch (panel.type) {
case 'stat':
case 'stat': {
const val = instantData[0]?.value ?? 0;
const unit = (panel.options as any)?.unit ?? '';
return (
<div className="flex flex-col items-center justify-center h-full">
<span className="text-4xl font-bold text-blue-500">{Math.floor(Math.random() * 1000)}</span>
<span className="text-sm text-muted-foreground mt-2">{panel.options?.unit || 'requests/s'}</span>
<div className="flex flex-col items-center justify-center h-full min-h-[120px]">
<span className="text-4xl font-bold text-blue-500">
{val > 1000 ? (val / 1000).toFixed(1) + 'K' : val.toFixed(2)}
</span>
{unit && <span className="text-sm text-[var(--dg-text-muted)] mt-2">{unit}</span>}
<div className="flex items-center gap-1 mt-2 text-green-500 text-sm">
<TrendingUp className="w-4 h-4" />
<span>+12.5%</span>
<span>实时</span>
</div>
</div>
);
case 'gauge':
}
case 'gauge': {
const val = instantData[0]?.value ?? 0;
const pct = Math.min(val, 100);
return (
<div className="flex flex-col items-center justify-center h-full">
<div className="flex flex-col items-center justify-center h-full min-h-[120px]">
<div className="relative w-24 h-24">
<svg className="w-full h-full" viewBox="0 0 100 100">
<circle cx="50" cy="50" r="40" fill="none" stroke="#e5e7eb" strokeWidth="10" />
<circle cx="50" cy="50" r="40" fill="none" stroke="var(--dg-border)" strokeWidth="10" />
<circle
cx="50"
cy="50"
r="40"
fill="none"
stroke="#3b82f6"
stroke={pct > 80 ? '#ef4444' : pct > 60 ? '#f59e0b' : '#3b82f6'}
strokeWidth="10"
strokeDasharray={`${Math.random() * 251} 251`}
strokeDasharray={`${(pct / 100) * 251} 251`}
transform="rotate(-90 50 50)"
style={{ transition: 'stroke-dasharray 0.5s ease' }}
/>
</svg>
<div className="absolute inset-0 flex items-center justify-center">
<span className="text-xl font-bold">{Math.floor(Math.random() * 100)}%</span>
<span className="text-xl font-bold">{pct.toFixed(1)}%</span>
</div>
</div>
<span className="text-sm text-muted-foreground mt-2">CPU使用率</span>
<span className="text-sm text-[var(--dg-text-muted)] mt-2">{panel.title}</span>
</div>
);
case 'graph':
default:
}
case 'table': {
if (instantData.length === 0) return <div className="text-center py-4 text-xs text-[var(--dg-text-muted)]">无数据</div>;
return (
<div className="h-full flex flex-col">
<div className="flex-1 flex items-end gap-1 px-2">
{data.map((d, i) => (
<div
key={i}
className="flex-1 bg-blue-500 rounded-t"
style={{ height: `${d.value}%`, opacity: 0.3 + (i / data.length) * 0.7 }}
/>
))}
</div>
<div className="flex justify-between text-xs text-muted-foreground px-2 pt-2">
<span>{data[0].time}</span>
<span>{data[data.length - 1].time}</span>
</div>
<div className="overflow-auto max-h-[200px]">
<table className="w-full text-[11px]">
<thead>
<tr className="border-b border-[var(--dg-border)]">
{Object.keys(instantData[0]?.labels ?? {}).slice(0, 3).map((k) => (
<th key={k} className="text-left py-1 px-2 font-medium text-[var(--dg-text-secondary)]">{k}</th>
))}
<th className="text-right py-1 px-2 font-medium text-[var(--dg-text-secondary)]">value</th>
</tr>
</thead>
<tbody>
{instantData.slice(0, 20).map((row, i) => (
<tr key={i} className="border-b border-[var(--dg-border)]/50">
{Object.entries(row.labels).slice(0, 3).map(([k, v]) => (
<td key={k} className="py-1 px-2 text-[var(--dg-text-secondary)]">{v}</td>
))}
<td className="py-1 px-2 text-right font-mono text-blue-400">{row.value.toFixed(2)}</td>
</tr>
))}
</tbody>
</table>
</div>
);
}
case 'graph':
default: {
if (chartData.length === 0) {
return <div className="text-center py-4 text-xs text-[var(--dg-text-muted)]">无数据</div>;
}
return (
<div className="h-full min-h-[120px]">
<ResponsiveContainer width="100%" height="100%">
<LineChart data={chartData} margin={{ top: 5, right: 10, bottom: 5, left: -20 }}>
<CartesianGrid strokeDasharray="3 3" stroke="var(--dg-border)" opacity={0.3} />
<XAxis dataKey="time" tick={{ fontSize: 10, fill: 'var(--dg-text-muted)' }} interval="preserveStartEnd" />
<YAxis tick={{ fontSize: 10, fill: 'var(--dg-text-muted)' }} width={45} />
<Tooltip
contentStyle={{
background: 'var(--dg-bg-secondary)',
border: '1px solid var(--dg-border)',
borderRadius: '6px',
fontSize: '12px',
}}
labelStyle={{ color: 'var(--dg-text-primary)' }}
/>
<Line
type="monotone"
dataKey="value"
stroke="#3b82f6"
strokeWidth={2}
dot={false}
animationDuration={300}
/>
</LineChart>
</ResponsiveContainer>
</div>
);
}
}
}