Files
common/middleware/rate_limiter.go

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package middleware
import (
"fmt"
"strings"
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"gitea.com/red-future/common/redis"
"gitea.com/red-future/common/utils"
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"github.com/gogf/gf/v2/frame/g"
"github.com/gogf/gf/v2/net/ghttp"
"github.com/gogf/gf/v2/util/gconv"
)
// GlobalLimiter 全局限流中间件使用Redis分布式控制
func GlobalLimiter(r *ghttp.Request) {
// 从配置文件读取全局限流参数
globalLimit := g.Cfg().MustGet(r.GetCtx(), "rate.limit", 800).Int64()
key := redis.RateLimitKeyGlobal
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// 使用Redis计数器进行全局限流
count, err := redis.IncrRateLimit(r.GetCtx(), key, 1) // 1秒窗口
if err != nil {
g.Log().Errorf(r.GetCtx(), "全局限流Redis错误: %v", err)
r.Middleware.Next()
return
}
if count > globalLimit {
g.Log().Warningf(r.GetCtx(), "全局限流触发: count: %d, limit: %d", count, globalLimit)
r.Response.WriteStatusExit(429, "系统当前繁忙,请稍后再试")
return
}
r.Middleware.Next()
}
// IPLimiter IP限流中间件防DDoS
func IPLimiter(r *ghttp.Request) {
ip := r.GetClientIp()
key := fmt.Sprintf(redis.RateLimitKeyIP, ip)
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// 从配置文件读取IP限流参数
ipLimit := g.Cfg().MustGet(r.GetCtx(), "rate.ip.limit", 100).Int64()
// 使用Redis计数器
count, err := redis.IncrRateLimit(r.GetCtx(), key, 1) // 1秒窗口
if err != nil {
g.Log().Errorf(r.GetCtx(), "IP限流Redis错误: %v", err)
r.Middleware.Next()
return
}
if count > ipLimit {
g.Log().Warningf(r.GetCtx(), "IP限流触发: %s, count: %d, limit: %d", ip, count, ipLimit)
r.Response.WriteStatusExit(429, "请求过于频繁,请稍后再试")
return
}
r.Middleware.Next()
}
// UserLimiter 用户维度限流中间件(防止单用户滥用)
func UserLimiter(r *ghttp.Request) {
if strings.Contains(r.RequestURI, "/swagger") || strings.Contains(r.RequestURI, "/pub/captcha/get") || strings.Contains(r.RequestURI, "/login") || strings.Contains(r.RequestURI, "/web/socket/") {
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r.Middleware.Next()
return
}
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var userName string
user, err := utils.GetUserInfo(r.GetCtx())
if err != nil {
r.Response.WriteStatusExit(429, err.Error())
return
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}
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userName = gconv.String(user.UserName)
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// 从配置文件读取用户限流参数
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userLimit := g.Cfg().MustGet(r.GetCtx(), "rate.user.limit", 50).Int64()
key := fmt.Sprintf(redis.RateLimitKeyUser, userName)
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count, err := redis.IncrRateLimit(r.GetCtx(), key, 1)
if err != nil {
g.Log().Errorf(r.GetCtx(), "用户限流Redis错误: %v", err)
return
}
if count > userLimit {
r.Response.WriteStatusExit(429, "您的请求过于频繁,请稍后再试")
return
}
r.Middleware.Next()
}
// ServiceLimiter 服务维度限流中间件(保护微服务)
func ServiceLimiter(r *ghttp.Request) {
// 从URL路径提取服务名: /customerService/xxx -> customerService
pathParts := strings.Split(strings.Trim(r.URL.Path, "/"), "/")
if len(pathParts) == 0 {
r.Middleware.Next()
return
}
serverName := pathParts[0]
// 从配置文件读取服务限流参数
serviceLimitKey := fmt.Sprintf("rate.services.%s.limit", serverName)
limit := g.Cfg().MustGet(r.GetCtx(), serviceLimitKey, 0).Int64()
// 如果配置为0说明该服务没有限流配置跳过限流
if limit == 0 {
r.Middleware.Next()
return
}
key := fmt.Sprintf(redis.RateLimitKeyService, serverName)
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count, err := redis.IncrRateLimit(r.GetCtx(), key, 1)
if err != nil {
g.Log().Errorf(r.GetCtx(), "服务限流Redis错误: %v", err)
r.Middleware.Next()
return
}
if count > limit {
g.Log().Warningf(r.GetCtx(), "服务限流触发: %s, count: %d, limit: %d", serverName, count, limit)
r.Response.WriteStatusExit(429, fmt.Sprintf("服务 '%s' 当前繁忙,请稍后再试", serverName))
return
}
r.Middleware.Next()
}