feat(gateway): 双模式用户消息队列 — 串行队列 + 软性限速
新增 UMQ (User Message Queue) 双模式支持: - serialize: 账号级分布式串行锁 + RPM 自适应延迟（严格限流） - throttle: 仅 RPM 自适应前置延迟，不阻塞并发（软性限速） 后端: - config: 新增 Mode 字段，保留 Enabled 向后兼容 - service: 新增 UserMessageQueueService（Lua 锁/延迟算法/清理 worker） - repository: 新增 UserMsgQueueCache（Redis Lua acquire/release/force-release） - handler: 新增 UserMsgQueueHelper（SSE ping + 等待循环 + throttle） - gateway: 按 mode 分支集成 serialize/throttle 逻辑 - lint: 修复 gofmt rewrite rules、errcheck 类型断言、staticcheck QF1012 前端: - 三态选择器 UI（关闭/软性限速/串行队列）替代 toggle 开关 - BulkEdit 支持 null 语义（不修改） - i18n 中英文文案 通过 6 轮专家评审（42 次 review）、golangci-lint、单元测试、集成测试。
This commit is contained in:
QTom
318
backend/internal/service/user_msg_queue_service.go
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318
backend/internal/service/user_msg_queue_service.go
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package service
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import (
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"context"
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cryptorand "crypto/rand"
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"encoding/hex"
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"fmt"
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"math"
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"math/rand/v2"
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"sync"
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"time"
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"github.com/Wei-Shaw/sub2api/internal/config"
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"github.com/Wei-Shaw/sub2api/internal/pkg/logger"
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)
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// UserMsgQueueCache 用户消息串行队列 Redis 缓存接口
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type UserMsgQueueCache interface {
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// AcquireLock 尝试获取账号级串行锁
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AcquireLock(ctx context.Context, accountID int64, requestID string, lockTtlMs int) (acquired bool, err error)
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// ReleaseLock 释放锁并记录完成时间
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ReleaseLock(ctx context.Context, accountID int64, requestID string) (released bool, err error)
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// GetLastCompletedMs 获取上次完成时间（毫秒时间戳，Redis TIME 源）
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GetLastCompletedMs(ctx context.Context, accountID int64) (int64, error)
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// GetCurrentTimeMs 获取 Redis 服务器当前时间（毫秒），与 ReleaseLock 记录的时间源一致
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GetCurrentTimeMs(ctx context.Context) (int64, error)
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// ForceReleaseLock 强制释放锁（孤儿锁清理）
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ForceReleaseLock(ctx context.Context, accountID int64) error
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// ScanLockKeys 扫描 PTTL == -1 的孤儿锁 key，返回 accountID 列表
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ScanLockKeys(ctx context.Context, maxCount int) ([]int64, error)
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}
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// QueueLockResult 锁获取结果
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type QueueLockResult struct {
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Acquired bool
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RequestID string
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}
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// UserMessageQueueService 用户消息串行队列服务
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// 对真实用户消息实施账号级串行化 + RPM 自适应延迟
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type UserMessageQueueService struct {
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cache UserMsgQueueCache
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rpmCache RPMCache
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cfg *config.UserMessageQueueConfig
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stopCh chan struct{} // graceful shutdown
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stopOnce sync.Once // 确保 Stop() 并发安全
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}
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// NewUserMessageQueueService 创建用户消息串行队列服务
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func NewUserMessageQueueService(cache UserMsgQueueCache, rpmCache RPMCache, cfg *config.UserMessageQueueConfig) *UserMessageQueueService {
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return &UserMessageQueueService{
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cache: cache,
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rpmCache: rpmCache,
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cfg: cfg,
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stopCh: make(chan struct{}),
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}
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}
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// IsRealUserMessage 检测是否为真实用户消息（非 tool_result）
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// 与 claude-relay-service 的检测逻辑一致：
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// 1. messages 非空
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// 2. 最后一条消息 role == "user"
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// 3. 最后一条消息 content（如果是数组）中不含 type:"tool_result" / "tool_use_result"
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func IsRealUserMessage(parsed *ParsedRequest) bool {
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if parsed == nil || len(parsed.Messages) == 0 {
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return false
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}
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lastMsg := parsed.Messages[len(parsed.Messages)-1]
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msgMap, ok := lastMsg.(map[string]any)
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if !ok {
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return false
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}
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role, _ := msgMap["role"].(string)
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if role != "user" {
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return false
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}
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// 检查 content 是否包含 tool_result 类型
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content, ok := msgMap["content"]
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if !ok {
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return true // 没有 content 字段，视为普通用户消息
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}
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contentArr, ok := content.([]any)
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if !ok {
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return true // content 不是数组（可能是 string），视为普通用户消息
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}
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for _, item := range contentArr {
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itemMap, ok := item.(map[string]any)
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if !ok {
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continue
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}
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itemType, _ := itemMap["type"].(string)
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if itemType == "tool_result" || itemType == "tool_use_result" {
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return false
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}
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}
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return true
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}
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// TryAcquire 尝试立即获取串行锁
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func (s *UserMessageQueueService) TryAcquire(ctx context.Context, accountID int64) (*QueueLockResult, error) {
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if s.cache == nil {
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return &QueueLockResult{Acquired: true}, nil // fail-open
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}
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requestID := generateUMQRequestID()
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lockTTL := s.cfg.LockTTLMs
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if lockTTL <= 0 {
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lockTTL = 120000
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}
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acquired, err := s.cache.AcquireLock(ctx, accountID, requestID, lockTTL)
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if err != nil {
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logger.LegacyPrintf("service.umq", "AcquireLock failed for account %d: %v", accountID, err)
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return &QueueLockResult{Acquired: true}, nil // fail-open
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}
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return &QueueLockResult{
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Acquired: acquired,
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RequestID: requestID,
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}, nil
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}
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// Release 释放串行锁
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func (s *UserMessageQueueService) Release(ctx context.Context, accountID int64, requestID string) error {
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if s.cache == nil || requestID == "" {
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return nil
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}
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released, err := s.cache.ReleaseLock(ctx, accountID, requestID)
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if err != nil {
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logger.LegacyPrintf("service.umq", "ReleaseLock failed for account %d: %v", accountID, err)
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return err
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}
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if !released {
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logger.LegacyPrintf("service.umq", "ReleaseLock no-op for account %d (requestID mismatch or expired)", accountID)
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}
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return nil
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}
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// EnforceDelay 根据 RPM 负载执行自适应延迟
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// 使用 Redis TIME 确保与 releaseLockScript 记录的时间源一致
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func (s *UserMessageQueueService) EnforceDelay(ctx context.Context, accountID int64, baseRPM int) error {
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if s.cache == nil {
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return nil
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}
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// 先检查历史记录：没有历史则无需延迟，避免不必要的 RPM 查询
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lastMs, err := s.cache.GetLastCompletedMs(ctx, accountID)
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if err != nil {
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logger.LegacyPrintf("service.umq", "GetLastCompletedMs failed for account %d: %v", accountID, err)
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return nil // fail-open
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}
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if lastMs == 0 {
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return nil // 没有历史记录，无需延迟
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}
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delay := s.CalculateRPMAwareDelay(ctx, accountID, baseRPM)
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if delay <= 0 {
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return nil
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}
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// 获取 Redis 当前时间（与 lastMs 同源，避免时钟偏差）
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nowMs, err := s.cache.GetCurrentTimeMs(ctx)
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if err != nil {
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logger.LegacyPrintf("service.umq", "GetCurrentTimeMs failed: %v", err)
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return nil // fail-open
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}
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elapsed := time.Duration(nowMs-lastMs) * time.Millisecond
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if elapsed < 0 {
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// 时钟异常（Redis 故障转移等），fail-open
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return nil
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}
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remaining := delay - elapsed
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if remaining <= 0 {
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return nil
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}
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// 执行延迟
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timer := time.NewTimer(remaining)
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defer timer.Stop()
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select {
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case <-ctx.Done():
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return ctx.Err()
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case <-timer.C:
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return nil
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}
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}
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// CalculateRPMAwareDelay 根据当前 RPM 负载计算自适应延迟
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// ratio = currentRPM / baseRPM
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// ratio < 0.5 → MinDelay
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// 0.5 ≤ ratio < 0.8 → 线性插值 MinDelay..MaxDelay
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// ratio ≥ 0.8 → MaxDelay
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// 返回值包含 ±15% 随机抖动（anti-detection + 避免惊群效应）
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func (s *UserMessageQueueService) CalculateRPMAwareDelay(ctx context.Context, accountID int64, baseRPM int) time.Duration {
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minDelay := time.Duration(s.cfg.MinDelayMs) * time.Millisecond
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maxDelay := time.Duration(s.cfg.MaxDelayMs) * time.Millisecond
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if minDelay <= 0 {
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minDelay = 200 * time.Millisecond
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}
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if maxDelay <= 0 {
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maxDelay = 2000 * time.Millisecond
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}
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// 防止配置错误：minDelay > maxDelay 时交换
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if minDelay > maxDelay {
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minDelay, maxDelay = maxDelay, minDelay
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}
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var baseDelay time.Duration
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if baseRPM <= 0 || s.rpmCache == nil {
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baseDelay = minDelay
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} else {
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currentRPM, err := s.rpmCache.GetRPM(ctx, accountID)
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if err != nil {
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logger.LegacyPrintf("service.umq", "GetRPM failed for account %d: %v", accountID, err)
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baseDelay = minDelay // fail-open
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} else {
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ratio := float64(currentRPM) / float64(baseRPM)
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if ratio < 0.5 {
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baseDelay = minDelay
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} else if ratio >= 0.8 {
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baseDelay = maxDelay
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} else {
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// 线性插值: 0.5 → minDelay, 0.8 → maxDelay
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t := (ratio - 0.5) / 0.3
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interpolated := float64(minDelay) + t*(float64(maxDelay)-float64(minDelay))
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baseDelay = time.Duration(math.Round(interpolated))
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}
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}
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}
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// ±15% 随机抖动
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return applyJitter(baseDelay, 0.15)
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}
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// StartCleanupWorker 启动孤儿锁清理 worker
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// 定期 SCAN umq:*:lock 并清理 PTTL == -1 的异常锁（PTTL 检查在 cache.ScanLockKeys 内完成）
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func (s *UserMessageQueueService) StartCleanupWorker(interval time.Duration) {
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if s == nil || s.cache == nil || interval <= 0 {
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return
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}
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runCleanup := func() {
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ctx, cancel := context.WithTimeout(context.Background(), 10*time.Second)
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defer cancel()
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accountIDs, err := s.cache.ScanLockKeys(ctx, 1000)
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if err != nil {
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logger.LegacyPrintf("service.umq", "Cleanup scan failed: %v", err)
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return
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}
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cleaned := 0
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for _, accountID := range accountIDs {
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cleanCtx, cleanCancel := context.WithTimeout(context.Background(), 2*time.Second)
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if err := s.cache.ForceReleaseLock(cleanCtx, accountID); err != nil {
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logger.LegacyPrintf("service.umq", "Cleanup force release failed for account %d: %v", accountID, err)
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} else {
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cleaned++
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}
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cleanCancel()
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}
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if cleaned > 0 {
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logger.LegacyPrintf("service.umq", "Cleanup completed: released %d orphaned locks", cleaned)
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}
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}
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go func() {
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ticker := time.NewTicker(interval)
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defer ticker.Stop()
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for {
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select {
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case <-s.stopCh:
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return
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case <-ticker.C:
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runCleanup()
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}
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}
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}()
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}
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// Stop 停止后台 cleanup worker
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func (s *UserMessageQueueService) Stop() {
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if s != nil && s.stopCh != nil {
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s.stopOnce.Do(func() {
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close(s.stopCh)
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})
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}
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}
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// applyJitter 对延迟值施加 ±jitterPct 的随机抖动
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// 使用 math/rand/v2（Go 1.22+ 自动使用 crypto/rand 种子），与 nextBackoff 一致
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// 例如 applyJitter(200ms, 0.15) 返回 170ms ~ 230ms
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func applyJitter(d time.Duration, jitterPct float64) time.Duration {
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if d <= 0 || jitterPct <= 0 {
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return d
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}
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// [-jitterPct, +jitterPct]
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jitter := (rand.Float64()*2 - 1) * jitterPct
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return time.Duration(float64(d) * (1 + jitter))
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}
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// generateUMQRequestID 生成唯一请求 ID（与 generateRequestID 一致的 fallback 模式）
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func generateUMQRequestID() string {
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b := make([]byte, 16)
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if _, err := cryptorand.Read(b); err != nil {
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return fmt.Sprintf("%x", time.Now().UnixNano())
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}
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return hex.EncodeToString(b)
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}
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