import { getDb } from '../../utils/db' export default defineEventHandler(async (event) => { const db = getDb() const DEVIATION_THRESHOLD = 2.0 const servers = db.prepare(` SELECT target_id, server_name FROM server_targets WHERE is_active = 1 ORDER BY server_name `).all() as any[] const now = new Date() const currentHour = now.getHours() const currentDayOfWeek = now.getDay() const isWeekend = currentDayOfWeek === 0 || currentDayOfWeek === 6 const dayType = isWeekend ? 'weekend' : 'weekday' const anomalies: any[] = [] const serverResults: any[] = [] // 로그 저장용 const insertLog = db.prepare(` INSERT INTO anomaly_logs (target_id, server_name, detect_type, metric, level, current_value, threshold_value, message) VALUES (?, ?, 'baseline', ?, ?, ?, ?, ?) `) const recentLogExists = db.prepare(` SELECT 1 FROM anomaly_logs WHERE target_id = ? AND detect_type = 'baseline' AND metric = ? AND detected_at > datetime('now', '-1 minute', 'localtime') LIMIT 1 `) for (const server of servers) { const historicalData = db.prepare(` SELECT cpu_percent, memory_percent, collected_at FROM server_snapshots WHERE target_id = ? AND collected_at >= datetime('now', '-14 days', 'localtime') AND strftime('%H', collected_at) = ? AND ( (? = 'weekend' AND strftime('%w', collected_at) IN ('0', '6')) OR (? = 'weekday' AND strftime('%w', collected_at) NOT IN ('0', '6')) ) ORDER BY collected_at DESC `).all(server.target_id, currentHour.toString().padStart(2, '0'), dayType, dayType) as any[] const current = db.prepare(` SELECT cpu_percent, memory_percent FROM server_snapshots WHERE target_id = ? ORDER BY collected_at DESC LIMIT 1 `).get(server.target_id) as any if (!current || historicalData.length < 5) { serverResults.push({ target_id: server.target_id, server_name: server.server_name, current_hour: currentHour, day_type: dayType, cpu_current: current?.cpu_percent ?? null, mem_current: current?.memory_percent ?? null, cpu_baseline: null, mem_baseline: null, cpu_deviation: null, mem_deviation: null, sample_count: historicalData.length, status: 'insufficient' }) continue } const currCpu = current.cpu_percent ?? 0 const currMem = current.memory_percent ?? 0 const cpuValues = historicalData.map(s => s.cpu_percent ?? 0) const memValues = historicalData.map(s => s.memory_percent ?? 0) const cpuAvg = cpuValues.reduce((a, b) => a + b, 0) / cpuValues.length const memAvg = memValues.reduce((a, b) => a + b, 0) / memValues.length const cpuVariance = cpuValues.reduce((sum, val) => sum + Math.pow(val - cpuAvg, 2), 0) / cpuValues.length const memVariance = memValues.reduce((sum, val) => sum + Math.pow(val - memAvg, 2), 0) / memValues.length const cpuStd = Math.sqrt(cpuVariance) const memStd = Math.sqrt(memVariance) const cpuDeviation = cpuStd > 0.1 ? (currCpu - cpuAvg) / cpuStd : 0 const memDeviation = memStd > 0.1 ? (currMem - memAvg) / memStd : 0 let status = 'normal' const maxDev = Math.max(Math.abs(cpuDeviation), Math.abs(memDeviation)) if (maxDev >= 3.0) status = 'danger' else if (maxDev >= DEVIATION_THRESHOLD) status = 'warning' serverResults.push({ target_id: server.target_id, server_name: server.server_name, current_hour: currentHour, day_type: dayType, cpu_current: currCpu, mem_current: currMem, cpu_baseline: { avg: cpuAvg, std: cpuStd }, mem_baseline: { avg: memAvg, std: memStd }, cpu_deviation: cpuDeviation, mem_deviation: memDeviation, sample_count: historicalData.length, status }) // CPU 이상감지 + 로그 저장 if (Math.abs(cpuDeviation) >= DEVIATION_THRESHOLD) { const level = Math.abs(cpuDeviation) >= 3.0 ? 'danger' : 'warning' const direction = cpuDeviation >= 0 ? '높음' : '낮음' const dayLabel = isWeekend ? '주말' : '평일' const message = `CPU ${dayLabel} ${currentHour}시 베이스라인 대비 ${Math.abs(cpuDeviation).toFixed(1)}σ ${direction} (기준: ${cpuAvg.toFixed(1)}%, 현재: ${currCpu.toFixed(1)}%)` anomalies.push({ target_id: server.target_id, server_name: server.server_name, metric: 'CPU', current: currCpu, baseline_avg: cpuAvg, deviation: cpuDeviation, direction: cpuDeviation >= 0 ? 'up' : 'down', level, hour: currentHour, day_type: dayType }) if (!recentLogExists.get(server.target_id, 'CPU')) { insertLog.run(server.target_id, server.server_name, 'CPU', level, currCpu, cpuDeviation, message) } } // Memory 이상감지 + 로그 저장 if (Math.abs(memDeviation) >= DEVIATION_THRESHOLD) { const level = Math.abs(memDeviation) >= 3.0 ? 'danger' : 'warning' const direction = memDeviation >= 0 ? '높음' : '낮음' const dayLabel = isWeekend ? '주말' : '평일' const message = `Memory ${dayLabel} ${currentHour}시 베이스라인 대비 ${Math.abs(memDeviation).toFixed(1)}σ ${direction} (기준: ${memAvg.toFixed(1)}%, 현재: ${currMem.toFixed(1)}%)` anomalies.push({ target_id: server.target_id, server_name: server.server_name, metric: 'Memory', current: currMem, baseline_avg: memAvg, deviation: memDeviation, direction: memDeviation >= 0 ? 'up' : 'down', level, hour: currentHour, day_type: dayType }) if (!recentLogExists.get(server.target_id, 'Memory')) { insertLog.run(server.target_id, server.server_name, 'Memory', level, currMem, memDeviation, message) } } } anomalies.sort((a, b) => Math.abs(b.deviation) - Math.abs(a.deviation)) return { anomalies, servers: serverResults, context: { current_hour: currentHour, day_type: dayType, day_type_label: isWeekend ? '주말' : '평일', threshold: DEVIATION_THRESHOLD }, timestamp: new Date().toISOString() } })