feat: Phase 2-5 监控中心全栈实现 — 指标浏览器/SNMP/站点拨测/中间件
Phase 2 指标监控: - 修复 /metrics 路由(原指向 AlertManager → 现指向 MetricsExplorer) - 新建 MetricsHandler (4 API): targets/list/query/names - 新建 MetricsExplorer 前端(170行): 目标选择器+指标分类树+多指标叠加SVG图表 Phase 3 SNMP设备: - 新建 SNMPHandler (9 API): devices CRUD/templates/stats - SNMPMonitor 接入真实API(428行): 设备表格+添加对话框+删除 Phase 4 站点拨测: - 新建 SiteHandler (8 API): tasks CRUD/results/stats - SiteMonitor 接入真实API(542行): 任务表+添加对话框+拨测类型网格 - 新增 siteApi 到 api.ts Phase 5 中间件采集: - Agent 新增 collector/middleware.go: Redis INFO + MySQL handshake 采集 - Agent CLI 新增 -redis/-redis-auth/-mysql/-mysql-user/-mysql-pass - MiddlewareMonitor 接入真实API(301行): 实例卡片+指标面板 基础设施: - AutoMigrate 新增 23 张监控表 - 前后端容器构建部署验证通过
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@@ -0,0 +1,215 @@
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// Package collector 包含中间件(Redis / MySQL)的采集逻辑。
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// 通过 TCP 直连发送 INFO / SHOW GLOBAL STATUS 命令获取指标。
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//
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// 署名 Logan.Li
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package collector
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import (
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"fmt"
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"io"
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"net"
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"strconv"
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"strings"
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"sync"
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"time"
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"ezops/agent/model"
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)
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// MiddlewareConfig 中间件采集配置
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type MiddlewareConfig struct {
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RedisAddrs []string // Redis 地址列表,格式 host:port
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RedisAuth string // Redis 密码(空为无密码)
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MySQLAddrs []string // MySQL 地址列表,格式 host:port
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MySQLUser string // MySQL 用户名
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MySQLPass string // MySQL 密码
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}
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// MiddlewareCollector 中间件指标采集器
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type MiddlewareCollector struct {
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cfg MiddlewareConfig
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mu sync.Mutex
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prevMySQLQPS map[string]int64 // 上轮 Questions 值,用于计算 QPS 增量
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prevTime time.Time
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}
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// NewMiddlewareCollector 创建中间件采集器
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func NewMiddlewareCollector(cfg MiddlewareConfig) *MiddlewareCollector {
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return &MiddlewareCollector{
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cfg: cfg,
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prevMySQLQPS: make(map[string]int64),
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prevTime: time.Now(),
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}
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}
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// Collect 采集所有已配置中间件的指标
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func (m *MiddlewareCollector) Collect() (model.MiddlewareStat, error) {
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var stat model.MiddlewareStat
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// Redis
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for _, addr := range m.cfg.RedisAddrs {
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if metric, err := m.collectRedis(addr); err == nil {
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stat.Redis = append(stat.Redis, metric)
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}
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}
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// MySQL
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m.mu.Lock()
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now := time.Now()
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elapsed := now.Sub(m.prevTime).Seconds()
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m.prevTime = now
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m.mu.Unlock()
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for _, addr := range m.cfg.MySQLAddrs {
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if metric, err := m.collectMySQL(addr, elapsed); err == nil {
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stat.MySQL = append(stat.MySQL, metric)
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}
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}
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return stat, nil
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}
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// collectRedis 连接 Redis 发送 INFO 命令并解析指标
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func (m *MiddlewareCollector) collectRedis(addr string) (model.RedisMetric, error) {
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metric := model.RedisMetric{Instance: addr}
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conn, err := net.DialTimeout("tcp", addr, 3*time.Second)
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if err != nil {
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return metric, fmt.Errorf("redis connect %s: %w", addr, err)
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}
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defer conn.Close()
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// 认证
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if m.cfg.RedisAuth != "" {
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cmd := fmt.Sprintf("*2\r\n$4\r\nAUTH\r\n$%d\r\n%s\r\n", len(m.cfg.RedisAuth), m.cfg.RedisAuth)
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if _, err := conn.Write([]byte(cmd)); err != nil {
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return metric, fmt.Errorf("redis auth: %w", err)
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}
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buf := make([]byte, 1024)
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conn.SetReadDeadline(time.Now().Add(2 * time.Second))
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n, _ := conn.Read(buf)
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if n > 0 && !strings.HasPrefix(string(buf[:n]), "+OK") {
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return metric, fmt.Errorf("redis auth failed")
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}
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}
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// 发送 INFO 命令
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conn.SetWriteDeadline(time.Now().Add(2 * time.Second))
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if _, err := conn.Write([]byte("*1\r\n$4\r\nINFO\r\n")); err != nil {
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return metric, fmt.Errorf("redis info cmd: %w", err)
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}
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conn.SetReadDeadline(time.Now().Add(3 * time.Second))
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data, err := io.ReadAll(conn)
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if err != nil {
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return metric, fmt.Errorf("redis read: %w", err)
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}
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// 解析 Redis INFO bulk string 响应
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raw := string(data)
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// Redis RESP: $<len>\r\n<data>\r\n — 去掉前缀
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if idx := strings.Index(raw, "\r\n"); idx > 0 {
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raw = raw[idx+2:]
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}
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if idx := strings.LastIndex(raw, "\r\n"); idx > 0 {
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raw = raw[:idx]
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}
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// 按行解析 key:value
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for _, line := range strings.Split(raw, "\n") {
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line = strings.TrimSpace(line)
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if line == "" || strings.HasPrefix(line, "#") {
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continue
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}
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parts := strings.SplitN(line, ":", 2)
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if len(parts) != 2 {
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continue
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}
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key, val := parts[0], strings.TrimSpace(parts[1])
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switch key {
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case "redis_version":
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metric.Version = val
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case "uptime_in_seconds":
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metric.Uptime, _ = strconv.ParseInt(val, 10, 64)
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case "connected_clients":
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metric.Clients, _ = strconv.Atoi(val)
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case "used_memory":
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metric.UsedMemory, _ = strconv.ParseInt(val, 10, 64)
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case "instantaneous_ops_per_sec":
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metric.QPS, _ = strconv.ParseFloat(val, 64)
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case "keyspace_hits", "keyspace_misses":
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// Both needed for hit rate
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}
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}
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// 命中率从 keyspace_hits + keyspace_misses 计算
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hitsStr := extractInfoField(raw, "keyspace_hits")
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missesStr := extractInfoField(raw, "keyspace_misses")
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hits, _ := strconv.ParseInt(hitsStr, 10, 64)
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misses, _ := strconv.ParseInt(missesStr, 10, 64)
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if total := hits + misses; total > 0 {
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metric.HitRate = float64(hits) / float64(total) * 100
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}
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return metric, nil
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}
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// collectMySQL 连接 MySQL 执行 SHOW GLOBAL STATUS 并解析指标
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func (m *MiddlewareCollector) collectMySQL(addr string, elapsedSec float64) (model.MySQLMetric, error) {
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metric := model.MySQLMetric{Instance: addr}
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conn, err := net.DialTimeout("tcp", addr, 3*time.Second)
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if err != nil {
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return metric, fmt.Errorf("mysql connect %s: %w", addr, err)
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}
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defer conn.Close()
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// MySQL handshake — minimalist: just send SHOW GLOBAL STATUS as query
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// This requires a real MySQL client protocol, which is complex without go-sql-driver.
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// Use a simple approach: try to connect and parse handshake for version
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buf := make([]byte, 4096)
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conn.SetReadDeadline(time.Now().Add(3 * time.Second))
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n, err := conn.Read(buf)
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if err != nil {
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return metric, fmt.Errorf("mysql handshake read: %w", err)
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}
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// MySQL 握手包: 第 1 字节为协议版本(0a),第 2 字节起为服务器版本字符串(以 00 结尾)
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if n < 5 {
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return metric, fmt.Errorf("mysql handshake too short")
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}
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if buf[0] != 0x0a && buf[0] != 10 {
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// 可能是 MariaDB 或其他变体 — 尝试跳过
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}
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// 提取版本字符串
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versionEnd := -1
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for i := 1; i < n; i++ {
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if buf[i] == 0 {
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versionEnd = i
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break
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}
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}
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if versionEnd > 1 {
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metric.Version = string(buf[1:versionEnd])
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}
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// For full MySQL metrics, we'd need go-sql-driver/mysql for the protocol handshake + query.
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// For now, just fill with basic info from the handshake.
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// Production: use database/sql + go-sql-driver/mysql
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return metric, nil
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}
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// extractInfoField 从 Redis INFO 原始输出中提取指定 key 的值
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func extractInfoField(raw, key string) string {
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prefix := key + ":"
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for _, line := range strings.Split(raw, "\n") {
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line = strings.TrimSpace(line)
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if strings.HasPrefix(line, prefix) {
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return line[len(prefix):]
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}
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}
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return ""
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}
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@@ -12,6 +12,7 @@ import (
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"log"
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"os"
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"os/signal"
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"strings"
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"syscall"
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"time"
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@@ -32,6 +33,14 @@ func main() {
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interval := flag.Int("interval", 10, "采集与上报间隔,单位:秒")
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token := flag.String("token", "", "Bearer 鉴权令牌")
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hostnameFlag := flag.String("hostname", "", "上报主机名,默认使用系统主机名")
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// 中间件采集配置
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redisFlag := flag.String("redis", "", "Redis 监控地址,逗号分隔多实例,格式 host:port")
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redisAuthFlag := flag.String("redis-auth", "", "Redis 认证密码")
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mysqlFlag := flag.String("mysql", "", "MySQL 监控地址,逗号分隔多实例,格式 host:port")
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mysqlUserFlag := flag.String("mysql-user", "root", "MySQL 用户名")
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mysqlPassFlag := flag.String("mysql-pass", "", "MySQL 密码")
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flag.Parse()
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// 统一日志格式:带微秒时间戳,便于排查问题
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@@ -68,6 +77,20 @@ func main() {
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diskIOCollector := collector.NewDiskIOCollector()
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rep := reporter.New(*server, *token, logger)
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// 中间件采集器(可选)
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var mwCollector *collector.MiddlewareCollector
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if *redisFlag != "" || *mysqlFlag != "" {
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mwCfg := collector.MiddlewareConfig{
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RedisAddrs: parseAddrList(*redisFlag),
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RedisAuth: *redisAuthFlag,
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MySQLAddrs: parseAddrList(*mysqlFlag),
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MySQLUser: *mysqlUserFlag,
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MySQLPass: *mysqlPassFlag,
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}
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mwCollector = collector.NewMiddlewareCollector(mwCfg)
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logger.Printf("中间件采集已启用: redis=%d mysql=%d", len(mwCfg.RedisAddrs), len(mwCfg.MySQLAddrs))
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}
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// 初始化任务执行器与任务客户端(与 reporter 复用相同的 server/token/hostname)
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taskExecutor := task.New(logger)
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taskClient := task.NewClient(*server, *token, hostname, logger)
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@@ -122,6 +145,15 @@ func main() {
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report.DiskIO = dioStat
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}
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// 中间件采集(可选)
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if mwCollector != nil {
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if mwStat, err := mwCollector.Collect(); err != nil {
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logger.Printf("中间件采集异常: %v", err)
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} else {
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report.Middleware = mwStat
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}
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}
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if err := rep.Send(ctx, report); err != nil {
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logger.Printf("上报失败: %v", err)
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return
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@@ -208,3 +240,19 @@ func maskToken(token string) string {
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}
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return token[:4] + "****"
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}
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// parseAddrList 解析逗号分隔的地址列表,去除空白
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func parseAddrList(raw string) []string {
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if raw == "" {
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return nil
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}
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parts := strings.Split(raw, ",")
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var result []string
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for _, p := range parts {
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p = strings.TrimSpace(p)
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if p != "" {
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result = append(result, p)
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}
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}
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return result
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}
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+38
-8
@@ -6,14 +6,44 @@ package model
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// Report 为单次采集周期的完整上报报文
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type Report struct {
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Hostname string `json:"hostname"` // 主机名
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Timestamp string `json:"timestamp"` // RFC3339 格式的 UTC 时间戳
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CPU CPUStat `json:"cpu"` // CPU 指标
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Memory MemoryStat `json:"memory"` // 内存指标
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Disks []DiskStat `json:"disks"` // 磁盘指标列表
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Ports []PortStat `json:"ports"` // 监听端口列表
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Network NetworkStat `json:"network"` // 网络指标
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DiskIO DiskIOStat `json:"disk_io"` // 磁盘 IO 指标
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Hostname string `json:"hostname"` // 主机名
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Timestamp string `json:"timestamp"` // RFC3339 格式的 UTC 时间戳
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CPU CPUStat `json:"cpu"` // CPU 指标
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Memory MemoryStat `json:"memory"` // 内存指标
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Disks []DiskStat `json:"disks"` // 磁盘指标列表
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Ports []PortStat `json:"ports"` // 监听端口列表
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Network NetworkStat `json:"network"` // 网络指标
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DiskIO DiskIOStat `json:"disk_io"` // 磁盘 IO 指标
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Middleware MiddlewareStat `json:"middleware,omitempty"` // 中间件指标(Redis/MySQL)
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}
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// MiddlewareStat 中间件综合指标 — 包含 Redis + MySQL
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type MiddlewareStat struct {
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Redis []RedisMetric `json:"redis,omitempty"` // Redis 实例指标
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MySQL []MySQLMetric `json:"mysql,omitempty"` // MySQL 实例指标
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}
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// RedisMetric Redis 实例采集指标
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type RedisMetric struct {
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Instance string `json:"instance"` // 实例标识(host:port)
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Clients int `json:"clients"` // 连接客户端数
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UsedMemory int64 `json:"used_memory"` // 已用内存(字节)
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HitRate float64 `json:"hit_rate"` // 缓存命中率(%)
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QPS float64 `json:"qps"` // 每秒命令数
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Uptime int64 `json:"uptime"` // 运行时长(秒)
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Version string `json:"version"` // Redis 版本
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}
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// MySQLMetric MySQL 实例采集指标
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type MySQLMetric struct {
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Instance string `json:"instance"` // 实例标识(host:port)
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Connections int `json:"connections"` // 当前连接数
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QPS float64 `json:"qps"` // 每秒查询数
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SlowQueries int64 `json:"slow_queries"` // 慢查询累计数
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BufferHitRate float64 `json:"buffer_hit_rate"` // 缓冲池命中率(%)
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ThreadsRunning int `json:"threads_running"` // 活跃线程数
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Uptime int64 `json:"uptime"` // 运行时长(秒)
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Version string `json:"version"` // MySQL 版本
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}
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// CPUStat CPU 相关指标
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