import { query } from '../../utils/db'

export default defineEventHandler(async (event) => {
  const WARNING_Z = 2.0
  const DANGER_Z = 3.0
  
  const servers = await query<any>(`
    SELECT target_id, server_name 
    FROM server_targets 
    WHERE is_active = 1 
    ORDER BY server_name
  `)
  
  const anomalies: any[] = []
  const serverResults: any[] = []
  
  for (const server of servers) {
    const snapshots = await query<any>(`
      SELECT cpu_percent, memory_percent, collected_at
      FROM server_snapshots
      WHERE target_id = $1
        AND collected_at::timestamp >= NOW() - INTERVAL '1 hour'
      ORDER BY collected_at DESC
    `, [server.target_id])
    
    if (snapshots.length < 10) {
      serverResults.push({
        target_id: server.target_id,
        server_name: server.server_name,
        cpu_zscore: null,
        mem_zscore: null,
        cpu_avg: null,
        cpu_std: null,
        mem_avg: null,
        mem_std: null,
        sample_count: snapshots.length,
        status: 'insufficient'
      })
      continue
    }

    const current = snapshots[0]
    const currCpu = Number(current.cpu_percent) || 0
    const currMem = Number(current.memory_percent) || 0
    
    const cpuValues = snapshots.map((s: any) => Number(s.cpu_percent) || 0)
    const memValues = snapshots.map((s: any) => Number(s.memory_percent) || 0)
    
    const cpuAvg = cpuValues.reduce((a: number, b: number) => a + b, 0) / cpuValues.length
    const memAvg = memValues.reduce((a: number, b: number) => a + b, 0) / memValues.length
    
    const cpuVariance = cpuValues.reduce((sum: number, val: number) => sum + Math.pow(val - cpuAvg, 2), 0) / cpuValues.length
    const memVariance = memValues.reduce((sum: number, val: number) => sum + Math.pow(val - memAvg, 2), 0) / memValues.length
    const cpuStd = Math.sqrt(cpuVariance)
    const memStd = Math.sqrt(memVariance)
    
    const cpuZscore = cpuStd > 0.1 ? (currCpu - cpuAvg) / cpuStd : 0
    const memZscore = memStd > 0.1 ? (currMem - memAvg) / memStd : 0
    
    let status = 'normal'
    const maxZ = Math.max(Math.abs(cpuZscore), Math.abs(memZscore))
    if (maxZ >= DANGER_Z) status = 'danger'
    else if (maxZ >= WARNING_Z) status = 'warning'
    
    serverResults.push({
      target_id: server.target_id,
      server_name: server.server_name,
      cpu_current: currCpu,
      mem_current: currMem,
      cpu_zscore: cpuZscore,
      mem_zscore: memZscore,
      cpu_avg: cpuAvg,
      cpu_std: cpuStd,
      mem_avg: memAvg,
      mem_std: memStd,
      sample_count: snapshots.length,
      status
    })

    // CPU 이상 감지
    if (Math.abs(cpuZscore) >= WARNING_Z) {
      const level = Math.abs(cpuZscore) >= DANGER_Z ? 'danger' : 'warning'
      
      anomalies.push({
        target_id: server.target_id,
        server_name: server.server_name,
        metric: 'CPU',
        current: currCpu,
        avg: cpuAvg,
        std: cpuStd,
        zscore: cpuZscore,
        direction: cpuZscore >= 0 ? 'up' : 'down',
        level
      })
    }
    
    // Memory 이상 감지
    if (Math.abs(memZscore) >= WARNING_Z) {
      const level = Math.abs(memZscore) >= DANGER_Z ? 'danger' : 'warning'
      
      anomalies.push({
        target_id: server.target_id,
        server_name: server.server_name,
        metric: 'Memory',
        current: currMem,
        avg: memAvg,
        std: memStd,
        zscore: memZscore,
        direction: memZscore >= 0 ? 'up' : 'down',
        level
      })
    }
  }
  
  anomalies.sort((a, b) => Math.abs(b.zscore) - Math.abs(a.zscore))
  
  return {
    anomalies,
    servers: serverResults,
    thresholds: { warning: WARNING_Z, danger: DANGER_Z },
    timestamp: new Date().toISOString()
  }
})