Files
MoviePilot/app/api/endpoints/monitoring.py
2025-08-01 17:47:55 +08:00

410 lines
15 KiB
Python

from typing import Any, List
from fastapi import APIRouter, Depends, Query
from fastapi.responses import HTMLResponse
from app import schemas
from app.core.security import verify_apitoken
from app.monitoring import monitor, get_metrics_response
from app.schemas.monitoring import (
PerformanceSnapshot,
EndpointStats,
ErrorRequest,
MonitoringOverview
)
router = APIRouter()
@router.get("/overview", summary="获取监控概览", response_model=schemas.MonitoringOverview)
def get_overview(_: str = Depends(verify_apitoken)) -> Any:
"""
获取完整的监控概览信息
"""
# 获取性能快照
performance = monitor.get_performance_snapshot()
# 获取最活跃端点
top_endpoints = monitor.get_top_endpoints(limit=10)
# 获取最近错误
recent_errors = monitor.get_recent_errors(limit=20)
# 检查告警
alerts = monitor.check_alerts()
return MonitoringOverview(
performance=PerformanceSnapshot(
timestamp=performance.timestamp,
cpu_usage=performance.cpu_usage,
memory_usage=performance.memory_usage,
active_requests=performance.active_requests,
request_rate=performance.request_rate,
avg_response_time=performance.avg_response_time,
error_rate=performance.error_rate,
slow_requests=performance.slow_requests
),
top_endpoints=[EndpointStats(**endpoint) for endpoint in top_endpoints],
recent_errors=[ErrorRequest(**error) for error in recent_errors],
alerts=alerts
)
@router.get("/performance", summary="获取性能快照", response_model=schemas.PerformanceSnapshot)
def get_performance(_: str = Depends(verify_apitoken)) -> Any:
"""
获取当前性能快照
"""
snapshot = monitor.get_performance_snapshot()
return PerformanceSnapshot(
timestamp=snapshot.timestamp,
cpu_usage=snapshot.cpu_usage,
memory_usage=snapshot.memory_usage,
active_requests=snapshot.active_requests,
request_rate=snapshot.request_rate,
avg_response_time=snapshot.avg_response_time,
error_rate=snapshot.error_rate,
slow_requests=snapshot.slow_requests
)
@router.get("/endpoints", summary="获取端点统计", response_model=List[schemas.EndpointStats])
def get_endpoints(
limit: int = Query(10, ge=1, le=50, description="返回的端点数量"),
_: str = Depends(verify_apitoken)
) -> Any:
"""
获取最活跃的API端点统计
"""
endpoints = monitor.get_top_endpoints(limit=limit)
return [EndpointStats(**endpoint) for endpoint in endpoints]
@router.get("/errors", summary="获取错误请求", response_model=List[schemas.ErrorRequest])
def get_errors(
limit: int = Query(20, ge=1, le=100, description="返回的错误数量"),
_: str = Depends(verify_apitoken)
) -> Any:
"""
获取最近的错误请求记录
"""
errors = monitor.get_recent_errors(limit=limit)
return [ErrorRequest(**error) for error in errors]
@router.get("/alerts", summary="获取告警信息", response_model=List[str])
def get_alerts(_: str = Depends(verify_apitoken)) -> Any:
"""
获取当前告警信息
"""
return monitor.check_alerts()
@router.get("/metrics", summary="Prometheus指标")
def get_prometheus_metrics(_: str = Depends(verify_apitoken)) -> Any:
"""
获取Prometheus格式的监控指标
"""
return get_metrics_response()
@router.get("/dashboard", summary="监控仪表板", response_class=HTMLResponse)
def get_dashboard(_: str = Depends(verify_apitoken)) -> Any:
"""
获取实时监控仪表板HTML页面
"""
return HTMLResponse(content="""
<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>MoviePilot 性能监控仪表板</title>
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
<style>
body {
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
margin: 0;
padding: 20px;
background-color: #f5f5f5;
}
.container {
max-width: 1200px;
margin: 0 auto;
}
.header {
text-align: center;
margin-bottom: 30px;
color: #333;
}
.metrics-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
gap: 20px;
margin-bottom: 30px;
}
.metric-card {
background: white;
padding: 20px;
border-radius: 10px;
box-shadow: 0 2px 10px rgba(0,0,0,0.1);
text-align: center;
}
.metric-value {
font-size: 2em;
font-weight: bold;
color: #2196F3;
}
.metric-label {
color: #666;
margin-top: 5px;
}
.chart-container {
background: white;
padding: 20px;
border-radius: 10px;
box-shadow: 0 2px 10px rgba(0,0,0,0.1);
margin-bottom: 20px;
}
.alerts {
background: #fff3cd;
border: 1px solid #ffeaa7;
border-radius: 5px;
padding: 15px;
margin-bottom: 20px;
}
.alert-item {
color: #856404;
margin: 5px 0;
}
.refresh-btn {
background: #2196F3;
color: white;
border: none;
padding: 10px 20px;
border-radius: 5px;
cursor: pointer;
margin-bottom: 20px;
}
.refresh-btn:hover {
background: #1976D2;
}
</style>
</head>
<body>
<div class="container">
<div class="header">
<h1>🎬 MoviePilot 性能监控仪表板</h1>
<button class="refresh-btn" onclick="refreshData()">刷新数据</button>
</div>
<div id="alerts" class="alerts" style="display: none;">
<h3>⚠️ 告警信息</h3>
<div id="alerts-list"></div>
</div>
<div class="metrics-grid">
<div class="metric-card">
<div class="metric-value" id="cpu-usage">--</div>
<div class="metric-label">CPU使用率 (%)</div>
</div>
<div class="metric-card">
<div class="metric-value" id="memory-usage">--</div>
<div class="metric-label">内存使用率 (%)</div>
</div>
<div class="metric-card">
<div class="metric-value" id="active-requests">--</div>
<div class="metric-label">活跃请求数</div>
</div>
<div class="metric-card">
<div class="metric-value" id="request-rate">--</div>
<div class="metric-label">请求率 (req/min)</div>
</div>
<div class="metric-card">
<div class="metric-value" id="avg-response-time">--</div>
<div class="metric-label">平均响应时间 (s)</div>
</div>
<div class="metric-card">
<div class="metric-value" id="error-rate">--</div>
<div class="metric-label">错误率 (%)</div>
</div>
</div>
<div class="chart-container">
<h3>📊 性能趋势</h3>
<canvas id="performanceChart" width="400" height="200"></canvas>
</div>
<div class="chart-container">
<h3>🔥 最活跃端点</h3>
<canvas id="endpointsChart" width="400" height="200"></canvas>
</div>
</div>
<script>
let performanceChart, endpointsChart;
let performanceData = {
labels: [],
cpu: [],
memory: [],
requests: []
};
// 初始化图表
function initCharts() {
const ctx1 = document.getElementById('performanceChart').getContext('2d');
performanceChart = new Chart(ctx1, {
type: 'line',
data: {
labels: performanceData.labels,
datasets: [{
label: 'CPU使用率 (%)',
data: performanceData.cpu,
borderColor: '#2196F3',
backgroundColor: 'rgba(33, 150, 243, 0.1)',
tension: 0.4
}, {
label: '内存使用率 (%)',
data: performanceData.memory,
borderColor: '#4CAF50',
backgroundColor: 'rgba(76, 175, 80, 0.1)',
tension: 0.4
}, {
label: '活跃请求数',
data: performanceData.requests,
borderColor: '#FF9800',
backgroundColor: 'rgba(255, 152, 0, 0.1)',
tension: 0.4
}]
},
options: {
responsive: true,
scales: {
y: {
beginAtZero: true
}
}
}
});
const ctx2 = document.getElementById('endpointsChart').getContext('2d');
endpointsChart = new Chart(ctx2, {
type: 'bar',
data: {
labels: [],
datasets: [{
label: '请求数',
data: [],
backgroundColor: 'rgba(33, 150, 243, 0.8)'
}]
},
options: {
responsive: true,
scales: {
y: {
beginAtZero: true
}
}
}
});
}
// 更新性能数据
function updatePerformanceData(data) {
const now = new Date().toLocaleTimeString();
performanceData.labels.push(now);
performanceData.cpu.push(data.performance.cpu_usage);
performanceData.memory.push(data.performance.memory_usage);
performanceData.requests.push(data.performance.active_requests);
// 保持最近20个数据点
if (performanceData.labels.length > 20) {
performanceData.labels.shift();
performanceData.cpu.shift();
performanceData.memory.shift();
performanceData.requests.shift();
}
// 更新图表
performanceChart.data.labels = performanceData.labels;
performanceChart.data.datasets[0].data = performanceData.cpu;
performanceChart.data.datasets[1].data = performanceData.memory;
performanceChart.data.datasets[2].data = performanceData.requests;
performanceChart.update();
// 更新端点图表
const endpointLabels = data.top_endpoints.map(e => e.endpoint.substring(0, 20));
const endpointData = data.top_endpoints.map(e => e.count);
endpointsChart.data.labels = endpointLabels;
endpointsChart.data.datasets[0].data = endpointData;
endpointsChart.update();
}
// 更新指标显示
function updateMetrics(data) {
document.getElementById('cpu-usage').textContent = data.performance.cpu_usage.toFixed(1);
document.getElementById('memory-usage').textContent = data.performance.memory_usage.toFixed(1);
document.getElementById('active-requests').textContent = data.performance.active_requests;
document.getElementById('request-rate').textContent = data.performance.request_rate.toFixed(0);
document.getElementById('avg-response-time').textContent = data.performance.avg_response_time.toFixed(3);
document.getElementById('error-rate').textContent = (data.performance.error_rate * 100).toFixed(2);
}
// 更新告警
function updateAlerts(alerts) {
const alertsDiv = document.getElementById('alerts');
const alertsList = document.getElementById('alerts-list');
if (alerts.length > 0) {
alertsDiv.style.display = 'block';
alertsList.innerHTML = alerts.map(alert =>
`<div class="alert-item">⚠️ ${alert}</div>`
).join('');
} else {
alertsDiv.style.display = 'none';
}
}
// 获取URL中的token参数
function getTokenFromUrl() {
const urlParams = new URLSearchParams(window.location.search);
return urlParams.get('token');
}
// 刷新数据
async function refreshData() {
try {
const token = getTokenFromUrl();
if (!token) {
console.error('未找到token参数');
return;
}
const response = await fetch(`/api/v1/monitoring/overview?token=${token}`);
if (response.ok) {
const data = await response.json();
updateMetrics(data);
updatePerformanceData(data);
updateAlerts(data.alerts);
}
} catch (error) {
console.error('获取监控数据失败:', error);
}
}
// 页面加载完成后初始化
document.addEventListener('DOMContentLoaded', function() {
initCharts();
refreshData();
// 每5秒自动刷新
setInterval(refreshData, 5000);
});
</script>
</body>
</html>
""")