Merge branch 'main' into dev

This commit is contained in:
shaw
2025-12-21 21:35:16 +08:00
40 changed files with 7073 additions and 349 deletions

View File

@@ -584,6 +584,20 @@ class Application {
// 使用 Lua 脚本批量清理所有过期项
for (const key of keys) {
// 跳过非 Sorted Set 类型的键(这些键有各自的清理逻辑)
// - concurrency:queue:stats:* 是 Hash 类型
// - concurrency:queue:wait_times:* 是 List 类型
// - concurrency:queue:* (不含stats/wait_times) 是 String 类型
if (
key.startsWith('concurrency:queue:stats:') ||
key.startsWith('concurrency:queue:wait_times:') ||
(key.startsWith('concurrency:queue:') &&
!key.includes(':stats:') &&
!key.includes(':wait_times:'))
) {
continue
}
try {
const cleaned = await redis.client.eval(
`
@@ -625,6 +639,41 @@ class Application {
}, 60000) // 每分钟执行一次
logger.info('🔢 Concurrency cleanup task started (running every 1 minute)')
// 📬 启动用户消息队列服务
const userMessageQueueService = require('./services/userMessageQueueService')
// 先清理服务重启后残留的锁,防止旧锁阻塞新请求
userMessageQueueService.cleanupStaleLocks().then(() => {
// 然后启动定时清理任务
userMessageQueueService.startCleanupTask()
})
// 🚦 清理服务重启后残留的并发排队计数器
// 多实例部署时建议关闭此开关,避免新实例启动时清空其他实例的队列计数
// 可通过 DELETE /admin/concurrency/queue 接口手动清理
const clearQueuesOnStartup = process.env.CLEAR_CONCURRENCY_QUEUES_ON_STARTUP !== 'false'
if (clearQueuesOnStartup) {
redis.clearAllConcurrencyQueues().catch((error) => {
logger.error('❌ Error clearing concurrency queues on startup:', error)
})
} else {
logger.info(
'🚦 Skipping concurrency queue cleanup on startup (CLEAR_CONCURRENCY_QUEUES_ON_STARTUP=false)'
)
}
// 🧪 启动账户定时测试调度器
// 根据配置定期测试账户连通性并保存测试历史
const accountTestSchedulerEnabled =
process.env.ACCOUNT_TEST_SCHEDULER_ENABLED !== 'false' &&
config.accountTestScheduler?.enabled !== false
if (accountTestSchedulerEnabled) {
const accountTestSchedulerService = require('./services/accountTestSchedulerService')
accountTestSchedulerService.start()
logger.info('🧪 Account test scheduler service started')
} else {
logger.info('🧪 Account test scheduler service disabled')
}
}
setupGracefulShutdown() {
@@ -661,6 +710,15 @@ class Application {
logger.error('❌ Error stopping rate limit cleanup service:', error)
}
// 停止用户消息队列清理服务
try {
const userMessageQueueService = require('./services/userMessageQueueService')
userMessageQueueService.stopCleanupTask()
logger.info('📬 User message queue service stopped')
} catch (error) {
logger.error('❌ Error stopping user message queue service:', error)
}
// 停止费用排序索引服务
try {
const costRankService = require('./services/costRankService')
@@ -670,6 +728,15 @@ class Application {
logger.error('❌ Error stopping cost rank service:', error)
}
// 停止账户定时测试调度器
try {
const accountTestSchedulerService = require('./services/accountTestSchedulerService')
accountTestSchedulerService.stop()
logger.info('🧪 Account test scheduler service stopped')
} catch (error) {
logger.error('❌ Error stopping account test scheduler service:', error)
}
// 🔢 清理所有并发计数Phase 1 修复:防止重启泄漏)
try {
logger.info('🔢 Cleaning up all concurrency counters...')

View File

@@ -8,6 +8,102 @@ const redis = require('../models/redis')
const ClientValidator = require('../validators/clientValidator')
const ClaudeCodeValidator = require('../validators/clients/claudeCodeValidator')
const claudeRelayConfigService = require('../services/claudeRelayConfigService')
const { calculateWaitTimeStats } = require('../utils/statsHelper')
// 工具函数
function sleep(ms) {
return new Promise((resolve) => setTimeout(resolve, ms))
}
/**
* 检查排队是否过载,决定是否应该快速失败
* 详见 design.md Decision 7: 排队健康检查与快速失败
*
* @param {string} apiKeyId - API Key ID
* @param {number} timeoutMs - 排队超时时间(毫秒)
* @param {Object} queueConfig - 队列配置
* @param {number} maxQueueSize - 最大排队数
* @returns {Promise<Object>} { reject: boolean, reason?: string, estimatedWaitMs?: number, timeoutMs?: number }
*/
async function shouldRejectDueToOverload(apiKeyId, timeoutMs, queueConfig, maxQueueSize) {
try {
// 如果健康检查被禁用,直接返回不拒绝
if (!queueConfig.concurrentRequestQueueHealthCheckEnabled) {
return { reject: false, reason: 'health_check_disabled' }
}
// 🔑 先检查当前队列长度
const currentQueueCount = await redis.getConcurrencyQueueCount(apiKeyId).catch(() => 0)
// 队列为空,说明系统已恢复,跳过健康检查
if (currentQueueCount === 0) {
return { reject: false, reason: 'queue_empty', currentQueueCount: 0 }
}
// 🔑 关键改进:只有当队列接近满载时才进行健康检查
// 队列长度 <= maxQueueSize * 0.5 时,认为系统有足够余量,跳过健康检查
// 这避免了在队列较短时过于保守地拒绝请求
// 使用 ceil 确保小队列(如 maxQueueSize=3时阈值为 2即队列 <=1 时跳过
const queueLoadThreshold = Math.ceil(maxQueueSize * 0.5)
if (currentQueueCount <= queueLoadThreshold) {
return {
reject: false,
reason: 'queue_not_loaded',
currentQueueCount,
queueLoadThreshold,
maxQueueSize
}
}
// 获取该 API Key 的等待时间样本
const waitTimes = await redis.getQueueWaitTimes(apiKeyId)
const stats = calculateWaitTimeStats(waitTimes)
// 样本不足(< 10跳过健康检查避免冷启动误判
if (!stats || stats.sampleCount < 10) {
return { reject: false, reason: 'insufficient_samples', sampleCount: stats?.sampleCount || 0 }
}
// P90 不可靠时也跳过(虽然 sampleCount >= 10 时 p90Unreliable 应该是 false
if (stats.p90Unreliable) {
return { reject: false, reason: 'p90_unreliable', sampleCount: stats.sampleCount }
}
// 计算健康阈值P90 >= 超时时间 × 阈值 时拒绝
const threshold = queueConfig.concurrentRequestQueueHealthThreshold || 0.8
const maxAllowedP90 = timeoutMs * threshold
if (stats.p90 >= maxAllowedP90) {
return {
reject: true,
reason: 'queue_overloaded',
estimatedWaitMs: stats.p90,
timeoutMs,
threshold,
sampleCount: stats.sampleCount,
currentQueueCount,
maxQueueSize
}
}
return { reject: false, p90: stats.p90, sampleCount: stats.sampleCount, currentQueueCount }
} catch (error) {
// 健康检查出错时不阻塞请求,记录警告并继续
logger.warn(`Health check failed for ${apiKeyId}:`, error.message)
return { reject: false, reason: 'health_check_error', error: error.message }
}
}
// 排队轮询配置常量(可通过配置文件覆盖)
// 性能权衡:初始间隔越短响应越快,但 Redis QPS 越高
// 当前配置100 个等待者时约 250-300 QPS指数退避后
const QUEUE_POLLING_CONFIG = {
pollIntervalMs: 200, // 初始轮询间隔(毫秒)- 平衡响应速度和 Redis 压力
maxPollIntervalMs: 2000, // 最大轮询间隔(毫秒)- 长时间等待时降低 Redis 压力
backoffFactor: 1.5, // 指数退避系数
jitterRatio: 0.2, // 抖动比例±20%- 防止惊群效应
maxRedisFailCount: 5 // 连续 Redis 失败阈值(从 3 提高到 5提高网络抖动容忍度
}
const FALLBACK_CONCURRENCY_CONFIG = {
leaseSeconds: 300,
@@ -128,9 +224,223 @@ function isTokenCountRequest(req) {
return false
}
/**
* 等待并发槽位(排队机制核心)
*
* 采用「先占后检查」模式避免竞态条件:
* - 每次轮询时尝试 incrConcurrency 占位
* - 如果超限则 decrConcurrency 释放并继续等待
* - 成功获取槽位后返回,调用方无需再次 incrConcurrency
*
* ⚠️ 重要清理责任说明:
* - 排队计数:此函数的 finally 块负责调用 decrConcurrencyQueue 清理
* - 并发槽位:当返回 acquired=true 时,槽位已被占用(通过 incrConcurrency
* 调用方必须在请求结束时调用 decrConcurrency 释放槽位
* (已在 authenticateApiKey 的 finally 块中处理)
*
* @param {Object} req - Express 请求对象
* @param {Object} res - Express 响应对象
* @param {string} apiKeyId - API Key ID
* @param {Object} queueOptions - 配置参数
* @returns {Promise<Object>} { acquired: boolean, reason?: string, waitTimeMs: number }
*/
async function waitForConcurrencySlot(req, res, apiKeyId, queueOptions) {
const {
concurrencyLimit,
requestId,
leaseSeconds,
timeoutMs,
pollIntervalMs,
maxPollIntervalMs,
backoffFactor,
jitterRatio,
maxRedisFailCount: configMaxRedisFailCount
} = queueOptions
let clientDisconnected = false
// 追踪轮询过程中是否临时占用了槽位(用于异常时清理)
// 工作流程:
// 1. incrConcurrency 成功且 count <= limit 时,设置 internalSlotAcquired = true
// 2. 统计记录完成后,设置 internalSlotAcquired = false 并返回(所有权转移给调用方)
// 3. 如果在步骤 1-2 之间发生异常finally 块会检测到 internalSlotAcquired = true 并释放槽位
let internalSlotAcquired = false
// 监听客户端断开事件
// ⚠️ 重要:必须监听 socket 的事件,而不是 req 的事件!
// 原因:对于 POST 请求,当 body-parser 读取完请求体后reqIncomingMessage 可读流)
// 的 'close' 事件会立即触发,但这不代表客户端断开连接!客户端仍在等待响应。
// socket 的 'close' 事件才是真正的连接关闭信号。
const { socket } = req
const onSocketClose = () => {
clientDisconnected = true
logger.debug(
`🔌 [Queue] Socket closed during queue wait for API key ${apiKeyId}, requestId: ${requestId}`
)
}
if (socket) {
socket.once('close', onSocketClose)
}
// 检查 socket 是否在监听器注册前已被销毁(边界情况)
if (socket?.destroyed) {
clientDisconnected = true
}
const startTime = Date.now()
let pollInterval = pollIntervalMs
let redisFailCount = 0
// 优先使用配置中的值,否则使用默认值
const maxRedisFailCount = configMaxRedisFailCount || QUEUE_POLLING_CONFIG.maxRedisFailCount
try {
while (Date.now() - startTime < timeoutMs) {
// 检测客户端是否断开(双重检查:事件标记 + socket 状态)
// socket.destroyed 是同步检查,确保即使事件处理有延迟也能及时检测
if (clientDisconnected || socket?.destroyed) {
redis
.incrConcurrencyQueueStats(apiKeyId, 'cancelled')
.catch((e) => logger.warn('Failed to record cancelled stat:', e))
return {
acquired: false,
reason: 'client_disconnected',
waitTimeMs: Date.now() - startTime
}
}
// 尝试获取槽位(先占后检查)
try {
const count = await redis.incrConcurrency(apiKeyId, requestId, leaseSeconds)
redisFailCount = 0 // 重置失败计数
if (count <= concurrencyLimit) {
// 成功获取槽位!
const waitTimeMs = Date.now() - startTime
// 槽位所有权转移说明:
// 1. 此时槽位已通过 incrConcurrency 获取
// 2. 先标记 internalSlotAcquired = true确保异常时 finally 块能清理
// 3. 统计操作完成后,清除标记并返回,所有权转移给调用方
// 4. 调用方authenticateApiKey负责在请求结束时释放槽位
// 标记槽位已获取(用于异常时 finally 块清理)
internalSlotAcquired = true
// 记录统计非阻塞fire-and-forget 模式)
// ⚠️ 设计说明:
// - 故意不 await 这些 Promise因为统计记录不应阻塞请求处理
// - 每个 Promise 都有独立的 .catch(),确保单个失败不影响其他
// - 外层 .catch() 是防御性措施,处理 Promise.all 本身的异常
// - 即使统计记录在函数返回后才完成/失败,也是安全的(仅日志记录)
// - 统计数据丢失可接受,不影响核心业务逻辑
Promise.all([
redis
.recordQueueWaitTime(apiKeyId, waitTimeMs)
.catch((e) => logger.warn('Failed to record queue wait time:', e)),
redis
.recordGlobalQueueWaitTime(waitTimeMs)
.catch((e) => logger.warn('Failed to record global wait time:', e)),
redis
.incrConcurrencyQueueStats(apiKeyId, 'success')
.catch((e) => logger.warn('Failed to increment success stats:', e))
]).catch((e) => logger.warn('Failed to record queue stats batch:', e))
// 成功返回前清除标记(所有权转移给调用方,由其负责释放)
internalSlotAcquired = false
return { acquired: true, waitTimeMs }
}
// 超限,释放槽位继续等待
try {
await redis.decrConcurrency(apiKeyId, requestId)
} catch (decrError) {
// 释放失败时记录警告但继续轮询
// 下次 incrConcurrency 会自然覆盖同一 requestId 的条目
logger.warn(
`Failed to release slot during polling for ${apiKeyId}, will retry:`,
decrError
)
}
} catch (redisError) {
redisFailCount++
logger.error(
`Redis error in queue polling (${redisFailCount}/${maxRedisFailCount}):`,
redisError
)
if (redisFailCount >= maxRedisFailCount) {
// 连续 Redis 失败,放弃排队
return {
acquired: false,
reason: 'redis_error',
waitTimeMs: Date.now() - startTime
}
}
}
// 指数退避等待
await sleep(pollInterval)
// 计算下一次轮询间隔(指数退避 + 抖动)
// 1. 先应用指数退避
let nextInterval = pollInterval * backoffFactor
// 2. 添加抖动防止惊群效应±jitterRatio 范围内的随机偏移)
// 抖动范围:[-jitterRatio, +jitterRatio],例如 jitterRatio=0.2 时为 ±20%
// 这是预期行为:负抖动可使间隔略微缩短,正抖动可使间隔略微延长
// 目的是分散多个等待者的轮询时间点,避免同时请求 Redis
const jitter = nextInterval * jitterRatio * (Math.random() * 2 - 1)
nextInterval = nextInterval + jitter
// 3. 确保在合理范围内:最小 1ms最大 maxPollIntervalMs
// Math.max(1, ...) 保证即使负抖动也不会产生 ≤0 的间隔
pollInterval = Math.max(1, Math.min(nextInterval, maxPollIntervalMs))
}
// 超时
redis
.incrConcurrencyQueueStats(apiKeyId, 'timeout')
.catch((e) => logger.warn('Failed to record timeout stat:', e))
return { acquired: false, reason: 'timeout', waitTimeMs: Date.now() - startTime }
} finally {
// 确保清理:
// 1. 减少排队计数(排队计数在调用方已增加,这里负责减少)
try {
await redis.decrConcurrencyQueue(apiKeyId)
} catch (cleanupError) {
// 清理失败记录错误(可能导致计数泄漏,但有 TTL 保护)
logger.error(
`Failed to decrement queue count in finally block for ${apiKeyId}:`,
cleanupError
)
}
// 2. 如果内部获取了槽位但未正常返回(异常路径),释放槽位
if (internalSlotAcquired) {
try {
await redis.decrConcurrency(apiKeyId, requestId)
logger.warn(
`⚠️ Released orphaned concurrency slot in finally block for ${apiKeyId}, requestId: ${requestId}`
)
} catch (slotCleanupError) {
logger.error(
`Failed to release orphaned concurrency slot for ${apiKeyId}:`,
slotCleanupError
)
}
}
// 清理 socket 事件监听器
if (socket) {
socket.removeListener('close', onSocketClose)
}
}
}
// 🔑 API Key验证中间件优化版
const authenticateApiKey = async (req, res, next) => {
const startTime = Date.now()
let authErrored = false
let concurrencyCleanup = null
let hasConcurrencySlot = false
try {
// 安全提取API Key支持多种格式包括Gemini CLI支持
@@ -265,39 +575,346 @@ const authenticateApiKey = async (req, res, next) => {
}
const requestId = uuidv4()
// ⚠️ 优化后的 Connection: close 设置策略
// 问题背景HTTP Keep-Alive 使多个请求共用同一个 TCP 连接
// 当第一个请求正在处理,第二个请求进入排队时,它们共用同一个 socket
// 如果客户端超时关闭连接,两个请求都会受影响
// 优化方案:只有在请求实际进入排队时才设置 Connection: close
// 未排队的请求保持 Keep-Alive避免不必要的 TCP 握手开销
// 详见 design.md Decision 2: Connection: close 设置时机
// 注意Connection: close 将在下方代码实际进入排队时设置(第 637 行左右)
// ============================================================
// 🔒 并发槽位状态管理说明
// ============================================================
// 此函数中有两个关键状态变量:
// - hasConcurrencySlot: 当前是否持有并发槽位
// - concurrencyCleanup: 错误时调用的清理函数
//
// 状态转换流程:
// 1. incrConcurrency 成功 → hasConcurrencySlot=true, 设置临时清理函数
// 2. 若超限 → 释放槽位hasConcurrencySlot=false, concurrencyCleanup=null
// 3. 若排队成功 → hasConcurrencySlot=true, 升级为完整清理函数(含 interval 清理)
// 4. 请求结束res.close/req.close→ 调用 decrementConcurrency 释放
// 5. 认证错误 → finally 块调用 concurrencyCleanup 释放
//
// 为什么需要两种清理函数?
// - 临时清理:在排队/认证过程中出错时使用,只释放槽位
// - 完整清理:请求正常开始后使用,还需清理 leaseRenewInterval
// ============================================================
const setTemporaryConcurrencyCleanup = () => {
concurrencyCleanup = async () => {
if (!hasConcurrencySlot) {
return
}
hasConcurrencySlot = false
try {
await redis.decrConcurrency(validation.keyData.id, requestId)
} catch (cleanupError) {
logger.error(
`Failed to decrement concurrency after auth error for key ${validation.keyData.id}:`,
cleanupError
)
}
}
}
const currentConcurrency = await redis.incrConcurrency(
validation.keyData.id,
requestId,
leaseSeconds
)
hasConcurrencySlot = true
setTemporaryConcurrencyCleanup()
logger.api(
`📈 Incremented concurrency for key: ${validation.keyData.id} (${validation.keyData.name}), current: ${currentConcurrency}, limit: ${concurrencyLimit}`
)
if (currentConcurrency > concurrencyLimit) {
// 如果超过限制,立即减少计数(添加 try-catch 防止异常导致并发泄漏)
// 1. 先释放刚占用的槽位
try {
const newCount = await redis.decrConcurrency(validation.keyData.id, requestId)
logger.api(
`📉 Decremented concurrency (429 rejected) for key: ${validation.keyData.id} (${validation.keyData.name}), new count: ${newCount}`
)
await redis.decrConcurrency(validation.keyData.id, requestId)
} catch (error) {
logger.error(
`Failed to decrement concurrency after limit exceeded for key ${validation.keyData.id}:`,
error
)
}
logger.security(
`🚦 Concurrency limit exceeded for key: ${validation.keyData.id} (${
validation.keyData.name
}), current: ${currentConcurrency - 1}, limit: ${concurrencyLimit}`
hasConcurrencySlot = false
concurrencyCleanup = null
// 2. 获取排队配置
const queueConfig = await claudeRelayConfigService.getConfig()
// 3. 排队功能未启用,直接返回 429保持现有行为
if (!queueConfig.concurrentRequestQueueEnabled) {
logger.security(
`🚦 Concurrency limit exceeded for key: ${validation.keyData.id} (${
validation.keyData.name
}), current: ${currentConcurrency - 1}, limit: ${concurrencyLimit}`
)
// 建议客户端在短暂延迟后重试(并发场景下通常很快会有槽位释放)
res.set('Retry-After', '1')
return res.status(429).json({
error: 'Concurrency limit exceeded',
message: `Too many concurrent requests. Limit: ${concurrencyLimit} concurrent requests`,
currentConcurrency: currentConcurrency - 1,
concurrencyLimit
})
}
// 4. 计算最大排队数
const maxQueueSize = Math.max(
concurrencyLimit * queueConfig.concurrentRequestQueueMaxSizeMultiplier,
queueConfig.concurrentRequestQueueMaxSize
)
return res.status(429).json({
error: 'Concurrency limit exceeded',
message: `Too many concurrent requests. Limit: ${concurrencyLimit} concurrent requests`,
currentConcurrency: currentConcurrency - 1,
concurrencyLimit
})
// 4.5 排队健康检查:过载时快速失败
// 详见 design.md Decision 7: 排队健康检查与快速失败
const overloadCheck = await shouldRejectDueToOverload(
validation.keyData.id,
queueConfig.concurrentRequestQueueTimeoutMs,
queueConfig,
maxQueueSize
)
if (overloadCheck.reject) {
// 使用健康检查返回的当前排队数,避免重复调用 Redis
const currentQueueCount = overloadCheck.currentQueueCount || 0
logger.api(
`🚨 Queue overloaded for key: ${validation.keyData.id} (${validation.keyData.name}), ` +
`P90=${overloadCheck.estimatedWaitMs}ms, timeout=${overloadCheck.timeoutMs}ms, ` +
`threshold=${overloadCheck.threshold}, samples=${overloadCheck.sampleCount}, ` +
`concurrency=${concurrencyLimit}, queue=${currentQueueCount}/${maxQueueSize}`
)
// 记录被拒绝的过载统计
redis
.incrConcurrencyQueueStats(validation.keyData.id, 'rejected_overload')
.catch((e) => logger.warn('Failed to record rejected_overload stat:', e))
// 返回 429 + Retry-After让客户端稍后重试
const retryAfterSeconds = 30
res.set('Retry-After', String(retryAfterSeconds))
return res.status(429).json({
error: 'Queue overloaded',
message: `Queue is overloaded. Estimated wait time (${overloadCheck.estimatedWaitMs}ms) exceeds threshold. Limit: ${concurrencyLimit} concurrent requests, queue: ${currentQueueCount}/${maxQueueSize}. Please retry later.`,
currentConcurrency: concurrencyLimit,
concurrencyLimit,
queueCount: currentQueueCount,
maxQueueSize,
estimatedWaitMs: overloadCheck.estimatedWaitMs,
timeoutMs: overloadCheck.timeoutMs,
queueTimeoutMs: queueConfig.concurrentRequestQueueTimeoutMs,
retryAfterSeconds
})
}
// 5. 尝试进入排队(原子操作:先增加再检查,避免竞态条件)
let queueIncremented = false
try {
const newQueueCount = await redis.incrConcurrencyQueue(
validation.keyData.id,
queueConfig.concurrentRequestQueueTimeoutMs
)
queueIncremented = true
if (newQueueCount > maxQueueSize) {
// 超过最大排队数,立即释放并返回 429
await redis.decrConcurrencyQueue(validation.keyData.id)
queueIncremented = false
logger.api(
`🚦 Concurrency queue full for key: ${validation.keyData.id} (${validation.keyData.name}), ` +
`queue: ${newQueueCount - 1}, maxQueue: ${maxQueueSize}`
)
// 队列已满,建议客户端在排队超时时间后重试
const retryAfterSeconds = Math.ceil(queueConfig.concurrentRequestQueueTimeoutMs / 1000)
res.set('Retry-After', String(retryAfterSeconds))
return res.status(429).json({
error: 'Concurrency queue full',
message: `Too many requests waiting in queue. Limit: ${concurrencyLimit} concurrent requests, queue: ${newQueueCount - 1}/${maxQueueSize}, timeout: ${retryAfterSeconds}s`,
currentConcurrency: concurrencyLimit,
concurrencyLimit,
queueCount: newQueueCount - 1,
maxQueueSize,
queueTimeoutMs: queueConfig.concurrentRequestQueueTimeoutMs,
retryAfterSeconds
})
}
// 6. 已成功进入排队,记录统计并开始等待槽位
logger.api(
`⏳ Request entering queue for key: ${validation.keyData.id} (${validation.keyData.name}), ` +
`queue position: ${newQueueCount}`
)
redis
.incrConcurrencyQueueStats(validation.keyData.id, 'entered')
.catch((e) => logger.warn('Failed to record entered stat:', e))
// ⚠️ 仅在请求实际进入排队时设置 Connection: close
// 详见 design.md Decision 2: Connection: close 设置时机
// 未排队的请求保持 Keep-Alive避免不必要的 TCP 握手开销
if (!res.headersSent) {
res.setHeader('Connection', 'close')
logger.api(
`🔌 [Queue] Set Connection: close for queued request, key: ${validation.keyData.id}`
)
}
// ⚠️ 记录排队开始时的 socket 标识,用于排队完成后验证
// 问题背景HTTP Keep-Alive 连接复用时,长时间排队可能导致 socket 被其他请求使用
// 验证方法:使用 UUID token + socket 对象引用双重验证
// 详见 design.md Decision 1: Socket 身份验证机制
req._crService = req._crService || {}
req._crService.queueToken = uuidv4()
req._crService.originalSocket = req.socket
req._crService.startTime = Date.now()
const savedToken = req._crService.queueToken
const savedSocket = req._crService.originalSocket
// ⚠️ 重要:在调用前将 queueIncremented 设为 false
// 因为 waitForConcurrencySlot 的 finally 块会负责清理排队计数
// 如果在调用后设置,当 waitForConcurrencySlot 抛出异常时
// 外层 catch 块会重复减少计数finally 已经减过一次)
queueIncremented = false
const slot = await waitForConcurrencySlot(req, res, validation.keyData.id, {
concurrencyLimit,
requestId,
leaseSeconds,
timeoutMs: queueConfig.concurrentRequestQueueTimeoutMs,
pollIntervalMs: QUEUE_POLLING_CONFIG.pollIntervalMs,
maxPollIntervalMs: QUEUE_POLLING_CONFIG.maxPollIntervalMs,
backoffFactor: QUEUE_POLLING_CONFIG.backoffFactor,
jitterRatio: QUEUE_POLLING_CONFIG.jitterRatio,
maxRedisFailCount: queueConfig.concurrentRequestQueueMaxRedisFailCount
})
// 7. 处理排队结果
if (!slot.acquired) {
if (slot.reason === 'client_disconnected') {
// 客户端已断开,不返回响应(连接已关闭)
logger.api(
`🔌 Client disconnected while queuing for key: ${validation.keyData.id} (${validation.keyData.name})`
)
return
}
if (slot.reason === 'redis_error') {
// Redis 连续失败,返回 503
logger.error(
`❌ Redis error during queue wait for key: ${validation.keyData.id} (${validation.keyData.name})`
)
return res.status(503).json({
error: 'Service temporarily unavailable',
message: 'Failed to acquire concurrency slot due to internal error'
})
}
// 排队超时(使用 api 级别,与其他排队日志保持一致)
logger.api(
`⏰ Queue timeout for key: ${validation.keyData.id} (${validation.keyData.name}), waited: ${slot.waitTimeMs}ms`
)
// 已等待超时,建议客户端稍后重试
// ⚠️ Retry-After 策略优化:
// - 请求已经等了完整的 timeout 时间,说明系统负载较高
// - 过早重试(如固定 5 秒)会加剧拥塞,导致更多超时
// - 合理策略:使用 timeout 时间的一半作为重试间隔
// - 最小值 5 秒,最大值 30 秒,避免极端情况
const timeoutSeconds = Math.ceil(queueConfig.concurrentRequestQueueTimeoutMs / 1000)
const retryAfterSeconds = Math.max(5, Math.min(30, Math.ceil(timeoutSeconds / 2)))
res.set('Retry-After', String(retryAfterSeconds))
return res.status(429).json({
error: 'Queue timeout',
message: `Request timed out waiting for concurrency slot. Limit: ${concurrencyLimit} concurrent requests, maxQueue: ${maxQueueSize}, Queue timeout: ${timeoutSeconds}s, waited: ${slot.waitTimeMs}ms`,
currentConcurrency: concurrencyLimit,
concurrencyLimit,
maxQueueSize,
queueTimeoutMs: queueConfig.concurrentRequestQueueTimeoutMs,
waitTimeMs: slot.waitTimeMs,
retryAfterSeconds
})
}
// 8. 排队成功slot.acquired 表示已在 waitForConcurrencySlot 中获取到槽位
logger.api(
`✅ Queue wait completed for key: ${validation.keyData.id} (${validation.keyData.name}), ` +
`waited: ${slot.waitTimeMs}ms`
)
hasConcurrencySlot = true
setTemporaryConcurrencyCleanup()
// 9. ⚠️ 关键检查:排队等待结束后,验证客户端是否还在等待响应
// 长时间排队后,客户端可能在应用层已放弃(如 Claude Code 的超时机制),
// 但 TCP 连接仍然存活。此时继续处理请求是浪费资源。
// 注意如果发送了心跳headersSent 会是 true但这是正常的
const postQueueSocket = req.socket
// 只检查连接是否真正断开destroyed/writableEnded/socketDestroyed
// headersSent 在心跳场景下是正常的,不应该作为放弃的依据
if (res.destroyed || res.writableEnded || postQueueSocket?.destroyed) {
logger.warn(
`⚠️ Client no longer waiting after queue for key: ${validation.keyData.id} (${validation.keyData.name}), ` +
`waited: ${slot.waitTimeMs}ms | destroyed: ${res.destroyed}, ` +
`writableEnded: ${res.writableEnded}, socketDestroyed: ${postQueueSocket?.destroyed}`
)
// 释放刚获取的槽位
hasConcurrencySlot = false
await redis
.decrConcurrency(validation.keyData.id, requestId)
.catch((e) => logger.error('Failed to release slot after client abandoned:', e))
// 不返回响应(客户端已不在等待)
return
}
// 10. ⚠️ 关键检查:验证 socket 身份是否改变
// HTTP Keep-Alive 连接复用可能导致排队期间 socket 被其他请求使用
// 验证方法UUID token + socket 对象引用双重验证
// 详见 design.md Decision 1: Socket 身份验证机制
const queueData = req._crService
const socketIdentityChanged =
!queueData ||
queueData.queueToken !== savedToken ||
queueData.originalSocket !== savedSocket
if (socketIdentityChanged) {
logger.error(
`❌ [Queue] Socket identity changed during queue wait! ` +
`key: ${validation.keyData.id} (${validation.keyData.name}), ` +
`waited: ${slot.waitTimeMs}ms | ` +
`tokenMatch: ${queueData?.queueToken === savedToken}, ` +
`socketMatch: ${queueData?.originalSocket === savedSocket}`
)
// 释放刚获取的槽位
hasConcurrencySlot = false
await redis
.decrConcurrency(validation.keyData.id, requestId)
.catch((e) => logger.error('Failed to release slot after socket identity change:', e))
// 记录 socket_changed 统计
redis
.incrConcurrencyQueueStats(validation.keyData.id, 'socket_changed')
.catch((e) => logger.warn('Failed to record socket_changed stat:', e))
// 不返回响应socket 已被其他请求使用)
return
}
} catch (queueError) {
// 异常时清理资源,防止泄漏
// 1. 清理排队计数(如果还没被 waitForConcurrencySlot 的 finally 清理)
if (queueIncremented) {
await redis
.decrConcurrencyQueue(validation.keyData.id)
.catch((e) => logger.error('Failed to cleanup queue count after error:', e))
}
// 2. 防御性清理:如果 waitForConcurrencySlot 内部获取了槽位但在返回前异常
// 虽然这种情况极少发生(统计记录的异常会被内部捕获),但为了安全起见
// 尝试释放可能已获取的槽位。decrConcurrency 使用 ZREM即使成员不存在也安全
if (hasConcurrencySlot) {
hasConcurrencySlot = false
await redis
.decrConcurrency(validation.keyData.id, requestId)
.catch((e) =>
logger.error('Failed to cleanup concurrency slot after queue error:', e)
)
}
throw queueError
}
}
const renewIntervalMs =
@@ -358,6 +975,7 @@ const authenticateApiKey = async (req, res, next) => {
const decrementConcurrency = async () => {
if (!concurrencyDecremented) {
concurrencyDecremented = true
hasConcurrencySlot = false
if (leaseRenewInterval) {
clearInterval(leaseRenewInterval)
leaseRenewInterval = null
@@ -372,6 +990,11 @@ const authenticateApiKey = async (req, res, next) => {
}
}
}
// 升级为完整清理函数(包含 leaseRenewInterval 清理逻辑)
// 此时请求已通过认证,后续由 res.close/req.close 事件触发清理
if (hasConcurrencySlot) {
concurrencyCleanup = decrementConcurrency
}
// 监听最可靠的事件(避免重复监听)
// res.on('close') 是最可靠的,会在连接关闭时触发
@@ -697,6 +1320,7 @@ const authenticateApiKey = async (req, res, next) => {
return next()
} catch (error) {
authErrored = true
const authDuration = Date.now() - startTime
logger.error(`❌ Authentication middleware error (${authDuration}ms):`, {
error: error.message,
@@ -710,6 +1334,14 @@ const authenticateApiKey = async (req, res, next) => {
error: 'Authentication error',
message: 'Internal server error during authentication'
})
} finally {
if (authErrored && typeof concurrencyCleanup === 'function') {
try {
await concurrencyCleanup()
} catch (cleanupError) {
logger.error('Failed to cleanup concurrency after auth error:', cleanupError)
}
}
}
}
@@ -1399,7 +2031,8 @@ const globalRateLimit = async (req, res, next) =>
// 📊 请求大小限制中间件
const requestSizeLimit = (req, res, next) => {
const maxSize = 60 * 1024 * 1024 // 60MB
const MAX_SIZE_MB = parseInt(process.env.REQUEST_MAX_SIZE_MB || '60', 10)
const maxSize = MAX_SIZE_MB * 1024 * 1024
const contentLength = parseInt(req.headers['content-length'] || '0')
if (contentLength > maxSize) {

View File

@@ -50,6 +50,18 @@ function getWeekStringInTimezone(date = new Date()) {
return `${year}-W${String(weekNumber).padStart(2, '0')}`
}
// 并发队列相关常量
const QUEUE_STATS_TTL_SECONDS = 86400 * 7 // 统计计数保留 7 天
const WAIT_TIME_TTL_SECONDS = 86400 // 等待时间样本保留 1 天(滚动窗口,无需长期保留)
// 等待时间样本数配置(提高统计置信度)
// - 每 API Key 从 100 提高到 500提供更稳定的 P99 估计
// - 全局从 500 提高到 2000支持更高精度的 P99.9 分析
// - 内存开销约 12-20KBRedis quicklist 每元素 1-10 字节),可接受
// 详见 design.md Decision 5: 等待时间统计样本数
const WAIT_TIME_SAMPLES_PER_KEY = 500 // 每个 API Key 保留的等待时间样本数
const WAIT_TIME_SAMPLES_GLOBAL = 2000 // 全局保留的等待时间样本数
const QUEUE_TTL_BUFFER_SECONDS = 30 // 排队计数器TTL缓冲时间
class RedisClient {
constructor() {
this.client = null
@@ -84,7 +96,25 @@ class RedisClient {
logger.warn('⚠️ Redis connection closed')
})
await this.client.connect()
// 只有在 lazyConnect 模式下才需要手动调用 connect()
// 如果 Redis 已经连接或正在连接中,则跳过
if (
this.client.status !== 'connecting' &&
this.client.status !== 'connect' &&
this.client.status !== 'ready'
) {
await this.client.connect()
} else {
// 等待 ready 状态
await new Promise((resolve, reject) => {
if (this.client.status === 'ready') {
resolve()
} else {
this.client.once('ready', resolve)
this.client.once('error', reject)
}
})
}
return this.client
} catch (error) {
logger.error('💥 Failed to connect to Redis:', error)
@@ -2556,4 +2586,838 @@ redisClient.getDateStringInTimezone = getDateStringInTimezone
redisClient.getHourInTimezone = getHourInTimezone
redisClient.getWeekStringInTimezone = getWeekStringInTimezone
// ============== 用户消息队列相关方法 ==============
/**
* 尝试获取用户消息队列锁
* 使用 Lua 脚本保证原子性
* @param {string} accountId - 账户ID
* @param {string} requestId - 请求ID
* @param {number} lockTtlMs - 锁 TTL毫秒
* @param {number} delayMs - 请求间隔(毫秒)
* @returns {Promise<{acquired: boolean, waitMs: number}>}
* - acquired: 是否成功获取锁
* - waitMs: 需要等待的毫秒数(-1表示被占用需等待>=0表示需要延迟的毫秒数
*/
redisClient.acquireUserMessageLock = async function (accountId, requestId, lockTtlMs, delayMs) {
const lockKey = `user_msg_queue_lock:${accountId}`
const lastTimeKey = `user_msg_queue_last:${accountId}`
const script = `
local lockKey = KEYS[1]
local lastTimeKey = KEYS[2]
local requestId = ARGV[1]
local lockTtl = tonumber(ARGV[2])
local delayMs = tonumber(ARGV[3])
-- 检查锁是否空闲
local currentLock = redis.call('GET', lockKey)
if currentLock == false then
-- 检查是否需要延迟
local lastTime = redis.call('GET', lastTimeKey)
local now = redis.call('TIME')
local nowMs = tonumber(now[1]) * 1000 + math.floor(tonumber(now[2]) / 1000)
if lastTime then
local elapsed = nowMs - tonumber(lastTime)
if elapsed < delayMs then
-- 需要等待的毫秒数
return {0, delayMs - elapsed}
end
end
-- 获取锁
redis.call('SET', lockKey, requestId, 'PX', lockTtl)
return {1, 0}
end
-- 锁被占用,返回等待
return {0, -1}
`
try {
const result = await this.client.eval(
script,
2,
lockKey,
lastTimeKey,
requestId,
lockTtlMs,
delayMs
)
return {
acquired: result[0] === 1,
waitMs: result[1]
}
} catch (error) {
logger.error(`Failed to acquire user message lock for account ${accountId}:`, error)
// 返回 redisError 标记,让上层能区分 Redis 故障和正常锁占用
return { acquired: false, waitMs: -1, redisError: true, errorMessage: error.message }
}
}
/**
* 释放用户消息队列锁并记录完成时间
* @param {string} accountId - 账户ID
* @param {string} requestId - 请求ID
* @returns {Promise<boolean>} 是否成功释放
*/
redisClient.releaseUserMessageLock = async function (accountId, requestId) {
const lockKey = `user_msg_queue_lock:${accountId}`
const lastTimeKey = `user_msg_queue_last:${accountId}`
const script = `
local lockKey = KEYS[1]
local lastTimeKey = KEYS[2]
local requestId = ARGV[1]
-- 验证锁持有者
local currentLock = redis.call('GET', lockKey)
if currentLock == requestId then
-- 记录完成时间
local now = redis.call('TIME')
local nowMs = tonumber(now[1]) * 1000 + math.floor(tonumber(now[2]) / 1000)
redis.call('SET', lastTimeKey, nowMs, 'EX', 60) -- 60秒后过期
-- 删除锁
redis.call('DEL', lockKey)
return 1
end
return 0
`
try {
const result = await this.client.eval(script, 2, lockKey, lastTimeKey, requestId)
return result === 1
} catch (error) {
logger.error(`Failed to release user message lock for account ${accountId}:`, error)
return false
}
}
/**
* 强制释放用户消息队列锁(用于清理孤儿锁)
* @param {string} accountId - 账户ID
* @returns {Promise<boolean>} 是否成功释放
*/
redisClient.forceReleaseUserMessageLock = async function (accountId) {
const lockKey = `user_msg_queue_lock:${accountId}`
try {
await this.client.del(lockKey)
return true
} catch (error) {
logger.error(`Failed to force release user message lock for account ${accountId}:`, error)
return false
}
}
/**
* 获取用户消息队列统计信息(用于调试)
* @param {string} accountId - 账户ID
* @returns {Promise<Object>} 队列统计
*/
redisClient.getUserMessageQueueStats = async function (accountId) {
const lockKey = `user_msg_queue_lock:${accountId}`
const lastTimeKey = `user_msg_queue_last:${accountId}`
try {
const [lockHolder, lastTime, lockTtl] = await Promise.all([
this.client.get(lockKey),
this.client.get(lastTimeKey),
this.client.pttl(lockKey)
])
return {
accountId,
isLocked: !!lockHolder,
lockHolder,
lockTtlMs: lockTtl > 0 ? lockTtl : 0,
lockTtlRaw: lockTtl, // 原始 PTTL 值:>0 有TTL-1 无过期时间,-2 键不存在
lastCompletedAt: lastTime ? new Date(parseInt(lastTime)).toISOString() : null
}
} catch (error) {
logger.error(`Failed to get user message queue stats for account ${accountId}:`, error)
return {
accountId,
isLocked: false,
lockHolder: null,
lockTtlMs: 0,
lockTtlRaw: -2,
lastCompletedAt: null
}
}
}
/**
* 扫描所有用户消息队列锁(用于清理任务)
* @returns {Promise<string[]>} 账户ID列表
*/
redisClient.scanUserMessageQueueLocks = async function () {
const accountIds = []
let cursor = '0'
let iterations = 0
const MAX_ITERATIONS = 1000 // 防止无限循环
try {
do {
const [newCursor, keys] = await this.client.scan(
cursor,
'MATCH',
'user_msg_queue_lock:*',
'COUNT',
100
)
cursor = newCursor
iterations++
for (const key of keys) {
const accountId = key.replace('user_msg_queue_lock:', '')
accountIds.push(accountId)
}
// 防止无限循环
if (iterations >= MAX_ITERATIONS) {
logger.warn(
`📬 User message queue: SCAN reached max iterations (${MAX_ITERATIONS}), stopping early`,
{ foundLocks: accountIds.length }
)
break
}
} while (cursor !== '0')
if (accountIds.length > 0) {
logger.debug(
`📬 User message queue: scanned ${accountIds.length} lock(s) in ${iterations} iteration(s)`
)
}
return accountIds
} catch (error) {
logger.error('Failed to scan user message queue locks:', error)
return []
}
}
// ============================================
// 🚦 API Key 并发请求排队方法
// ============================================
/**
* 增加排队计数(使用 Lua 脚本确保原子性)
* @param {string} apiKeyId - API Key ID
* @param {number} [timeoutMs=60000] - 排队超时时间(毫秒),用于计算 TTL
* @returns {Promise<number>} 增加后的排队数量
*/
redisClient.incrConcurrencyQueue = async function (apiKeyId, timeoutMs = 60000) {
const key = `concurrency:queue:${apiKeyId}`
try {
// 使用 Lua 脚本确保 INCR 和 EXPIRE 原子执行,防止进程崩溃导致计数器泄漏
// TTL = 超时时间 + 缓冲时间(确保键不会在请求还在等待时过期)
const ttlSeconds = Math.ceil(timeoutMs / 1000) + QUEUE_TTL_BUFFER_SECONDS
const script = `
local count = redis.call('INCR', KEYS[1])
redis.call('EXPIRE', KEYS[1], ARGV[1])
return count
`
const count = await this.client.eval(script, 1, key, String(ttlSeconds))
logger.database(
`🚦 Incremented queue count for key ${apiKeyId}: ${count} (TTL: ${ttlSeconds}s)`
)
return parseInt(count)
} catch (error) {
logger.error(`Failed to increment concurrency queue for ${apiKeyId}:`, error)
throw error
}
}
/**
* 减少排队计数(使用 Lua 脚本确保原子性)
* @param {string} apiKeyId - API Key ID
* @returns {Promise<number>} 减少后的排队数量
*/
redisClient.decrConcurrencyQueue = async function (apiKeyId) {
const key = `concurrency:queue:${apiKeyId}`
try {
// 使用 Lua 脚本确保 DECR 和 DEL 原子执行,防止进程崩溃导致计数器残留
const script = `
local count = redis.call('DECR', KEYS[1])
if count <= 0 then
redis.call('DEL', KEYS[1])
return 0
end
return count
`
const count = await this.client.eval(script, 1, key)
const result = parseInt(count)
if (result === 0) {
logger.database(`🚦 Queue count for key ${apiKeyId} is 0, removed key`)
} else {
logger.database(`🚦 Decremented queue count for key ${apiKeyId}: ${result}`)
}
return result
} catch (error) {
logger.error(`Failed to decrement concurrency queue for ${apiKeyId}:`, error)
throw error
}
}
/**
* 获取排队计数
* @param {string} apiKeyId - API Key ID
* @returns {Promise<number>} 当前排队数量
*/
redisClient.getConcurrencyQueueCount = async function (apiKeyId) {
const key = `concurrency:queue:${apiKeyId}`
try {
const count = await this.client.get(key)
return parseInt(count || 0)
} catch (error) {
logger.error(`Failed to get concurrency queue count for ${apiKeyId}:`, error)
return 0
}
}
/**
* 清空排队计数
* @param {string} apiKeyId - API Key ID
* @returns {Promise<boolean>} 是否成功清空
*/
redisClient.clearConcurrencyQueue = async function (apiKeyId) {
const key = `concurrency:queue:${apiKeyId}`
try {
await this.client.del(key)
logger.database(`🚦 Cleared queue count for key ${apiKeyId}`)
return true
} catch (error) {
logger.error(`Failed to clear concurrency queue for ${apiKeyId}:`, error)
return false
}
}
/**
* 扫描所有排队计数器
* @returns {Promise<string[]>} API Key ID 列表
*/
redisClient.scanConcurrencyQueueKeys = async function () {
const apiKeyIds = []
let cursor = '0'
let iterations = 0
const MAX_ITERATIONS = 1000
try {
do {
const [newCursor, keys] = await this.client.scan(
cursor,
'MATCH',
'concurrency:queue:*',
'COUNT',
100
)
cursor = newCursor
iterations++
for (const key of keys) {
// 排除统计和等待时间相关的键
if (
key.startsWith('concurrency:queue:stats:') ||
key.startsWith('concurrency:queue:wait_times:')
) {
continue
}
const apiKeyId = key.replace('concurrency:queue:', '')
apiKeyIds.push(apiKeyId)
}
if (iterations >= MAX_ITERATIONS) {
logger.warn(
`🚦 Concurrency queue: SCAN reached max iterations (${MAX_ITERATIONS}), stopping early`,
{ foundQueues: apiKeyIds.length }
)
break
}
} while (cursor !== '0')
return apiKeyIds
} catch (error) {
logger.error('Failed to scan concurrency queue keys:', error)
return []
}
}
/**
* 清理所有排队计数器(用于服务重启)
* @returns {Promise<number>} 清理的计数器数量
*/
redisClient.clearAllConcurrencyQueues = async function () {
let cleared = 0
let cursor = '0'
let iterations = 0
const MAX_ITERATIONS = 1000
try {
do {
const [newCursor, keys] = await this.client.scan(
cursor,
'MATCH',
'concurrency:queue:*',
'COUNT',
100
)
cursor = newCursor
iterations++
// 只删除排队计数器,保留统计数据
const queueKeys = keys.filter(
(key) =>
!key.startsWith('concurrency:queue:stats:') &&
!key.startsWith('concurrency:queue:wait_times:')
)
if (queueKeys.length > 0) {
await this.client.del(...queueKeys)
cleared += queueKeys.length
}
if (iterations >= MAX_ITERATIONS) {
break
}
} while (cursor !== '0')
if (cleared > 0) {
logger.info(`🚦 Cleared ${cleared} concurrency queue counter(s) on startup`)
}
return cleared
} catch (error) {
logger.error('Failed to clear all concurrency queues:', error)
return 0
}
}
/**
* 增加排队统计计数(使用 Lua 脚本确保原子性)
* @param {string} apiKeyId - API Key ID
* @param {string} field - 统计字段 (entered/success/timeout/cancelled)
* @returns {Promise<number>} 增加后的计数
*/
redisClient.incrConcurrencyQueueStats = async function (apiKeyId, field) {
const key = `concurrency:queue:stats:${apiKeyId}`
try {
// 使用 Lua 脚本确保 HINCRBY 和 EXPIRE 原子执行
// 防止在两者之间崩溃导致统计键没有 TTL内存泄漏
const script = `
local count = redis.call('HINCRBY', KEYS[1], ARGV[1], 1)
redis.call('EXPIRE', KEYS[1], ARGV[2])
return count
`
const count = await this.client.eval(script, 1, key, field, String(QUEUE_STATS_TTL_SECONDS))
return parseInt(count)
} catch (error) {
logger.error(`Failed to increment queue stats ${field} for ${apiKeyId}:`, error)
return 0
}
}
/**
* 获取排队统计
* @param {string} apiKeyId - API Key ID
* @returns {Promise<Object>} 统计数据
*/
redisClient.getConcurrencyQueueStats = async function (apiKeyId) {
const key = `concurrency:queue:stats:${apiKeyId}`
try {
const stats = await this.client.hgetall(key)
return {
entered: parseInt(stats?.entered || 0),
success: parseInt(stats?.success || 0),
timeout: parseInt(stats?.timeout || 0),
cancelled: parseInt(stats?.cancelled || 0),
socket_changed: parseInt(stats?.socket_changed || 0),
rejected_overload: parseInt(stats?.rejected_overload || 0)
}
} catch (error) {
logger.error(`Failed to get queue stats for ${apiKeyId}:`, error)
return {
entered: 0,
success: 0,
timeout: 0,
cancelled: 0,
socket_changed: 0,
rejected_overload: 0
}
}
}
/**
* 记录排队等待时间(按 API Key 分开存储)
* @param {string} apiKeyId - API Key ID
* @param {number} waitTimeMs - 等待时间(毫秒)
* @returns {Promise<void>}
*/
redisClient.recordQueueWaitTime = async function (apiKeyId, waitTimeMs) {
const key = `concurrency:queue:wait_times:${apiKeyId}`
try {
// 使用 Lua 脚本确保原子性,同时设置 TTL 防止内存泄漏
const script = `
redis.call('LPUSH', KEYS[1], ARGV[1])
redis.call('LTRIM', KEYS[1], 0, ARGV[2])
redis.call('EXPIRE', KEYS[1], ARGV[3])
return 1
`
await this.client.eval(
script,
1,
key,
waitTimeMs,
WAIT_TIME_SAMPLES_PER_KEY - 1,
WAIT_TIME_TTL_SECONDS
)
} catch (error) {
logger.error(`Failed to record queue wait time for ${apiKeyId}:`, error)
}
}
/**
* 记录全局排队等待时间
* @param {number} waitTimeMs - 等待时间(毫秒)
* @returns {Promise<void>}
*/
redisClient.recordGlobalQueueWaitTime = async function (waitTimeMs) {
const key = 'concurrency:queue:wait_times:global'
try {
// 使用 Lua 脚本确保原子性,同时设置 TTL 防止内存泄漏
const script = `
redis.call('LPUSH', KEYS[1], ARGV[1])
redis.call('LTRIM', KEYS[1], 0, ARGV[2])
redis.call('EXPIRE', KEYS[1], ARGV[3])
return 1
`
await this.client.eval(
script,
1,
key,
waitTimeMs,
WAIT_TIME_SAMPLES_GLOBAL - 1,
WAIT_TIME_TTL_SECONDS
)
} catch (error) {
logger.error('Failed to record global queue wait time:', error)
}
}
/**
* 获取全局等待时间列表
* @returns {Promise<number[]>} 等待时间列表
*/
redisClient.getGlobalQueueWaitTimes = async function () {
const key = 'concurrency:queue:wait_times:global'
try {
const samples = await this.client.lrange(key, 0, -1)
return samples.map(Number)
} catch (error) {
logger.error('Failed to get global queue wait times:', error)
return []
}
}
/**
* 获取指定 API Key 的等待时间列表
* @param {string} apiKeyId - API Key ID
* @returns {Promise<number[]>} 等待时间列表
*/
redisClient.getQueueWaitTimes = async function (apiKeyId) {
const key = `concurrency:queue:wait_times:${apiKeyId}`
try {
const samples = await this.client.lrange(key, 0, -1)
return samples.map(Number)
} catch (error) {
logger.error(`Failed to get queue wait times for ${apiKeyId}:`, error)
return []
}
}
/**
* 扫描所有排队统计键
* @returns {Promise<string[]>} API Key ID 列表
*/
redisClient.scanConcurrencyQueueStatsKeys = async function () {
const apiKeyIds = []
let cursor = '0'
let iterations = 0
const MAX_ITERATIONS = 1000
try {
do {
const [newCursor, keys] = await this.client.scan(
cursor,
'MATCH',
'concurrency:queue:stats:*',
'COUNT',
100
)
cursor = newCursor
iterations++
for (const key of keys) {
const apiKeyId = key.replace('concurrency:queue:stats:', '')
apiKeyIds.push(apiKeyId)
}
if (iterations >= MAX_ITERATIONS) {
break
}
} while (cursor !== '0')
return apiKeyIds
} catch (error) {
logger.error('Failed to scan concurrency queue stats keys:', error)
return []
}
}
// ============================================================================
// 账户测试历史相关操作
// ============================================================================
const ACCOUNT_TEST_HISTORY_MAX = 5 // 保留最近5次测试记录
const ACCOUNT_TEST_HISTORY_TTL = 86400 * 30 // 30天过期
const ACCOUNT_TEST_CONFIG_TTL = 86400 * 365 // 测试配置保留1年用户通常长期使用
/**
* 保存账户测试结果
* @param {string} accountId - 账户ID
* @param {string} platform - 平台类型 (claude/gemini/openai等)
* @param {Object} testResult - 测试结果对象
* @param {boolean} testResult.success - 是否成功
* @param {string} testResult.message - 测试消息/响应
* @param {number} testResult.latencyMs - 延迟毫秒数
* @param {string} testResult.error - 错误信息(如有)
* @param {string} testResult.timestamp - 测试时间戳
*/
redisClient.saveAccountTestResult = async function (accountId, platform, testResult) {
const key = `account:test_history:${platform}:${accountId}`
try {
const record = JSON.stringify({
...testResult,
timestamp: testResult.timestamp || new Date().toISOString()
})
// 使用 LPUSH + LTRIM 保持最近5条记录
const client = this.getClientSafe()
await client.lpush(key, record)
await client.ltrim(key, 0, ACCOUNT_TEST_HISTORY_MAX - 1)
await client.expire(key, ACCOUNT_TEST_HISTORY_TTL)
logger.debug(`📝 Saved test result for ${platform} account ${accountId}`)
} catch (error) {
logger.error(`Failed to save test result for ${accountId}:`, error)
}
}
/**
* 获取账户测试历史
* @param {string} accountId - 账户ID
* @param {string} platform - 平台类型
* @returns {Promise<Array>} 测试历史记录数组(最新在前)
*/
redisClient.getAccountTestHistory = async function (accountId, platform) {
const key = `account:test_history:${platform}:${accountId}`
try {
const client = this.getClientSafe()
const records = await client.lrange(key, 0, -1)
return records.map((r) => JSON.parse(r))
} catch (error) {
logger.error(`Failed to get test history for ${accountId}:`, error)
return []
}
}
/**
* 获取账户最新测试结果
* @param {string} accountId - 账户ID
* @param {string} platform - 平台类型
* @returns {Promise<Object|null>} 最新测试结果
*/
redisClient.getAccountLatestTestResult = async function (accountId, platform) {
const key = `account:test_history:${platform}:${accountId}`
try {
const client = this.getClientSafe()
const record = await client.lindex(key, 0)
return record ? JSON.parse(record) : null
} catch (error) {
logger.error(`Failed to get latest test result for ${accountId}:`, error)
return null
}
}
/**
* 批量获取多个账户的测试历史
* @param {Array<{accountId: string, platform: string}>} accounts - 账户列表
* @returns {Promise<Object>} 以 accountId 为 key 的测试历史映射
*/
redisClient.getAccountsTestHistory = async function (accounts) {
const result = {}
try {
const client = this.getClientSafe()
const pipeline = client.pipeline()
for (const { accountId, platform } of accounts) {
const key = `account:test_history:${platform}:${accountId}`
pipeline.lrange(key, 0, -1)
}
const responses = await pipeline.exec()
accounts.forEach(({ accountId }, index) => {
const [err, records] = responses[index]
if (!err && records) {
result[accountId] = records.map((r) => JSON.parse(r))
} else {
result[accountId] = []
}
})
} catch (error) {
logger.error('Failed to get batch test history:', error)
}
return result
}
/**
* 保存定时测试配置
* @param {string} accountId - 账户ID
* @param {string} platform - 平台类型
* @param {Object} config - 配置对象
* @param {boolean} config.enabled - 是否启用定时测试
* @param {string} config.cronExpression - Cron 表达式 (如 "0 8 * * *" 表示每天8点)
* @param {string} config.model - 测试使用的模型
*/
redisClient.saveAccountTestConfig = async function (accountId, platform, testConfig) {
const key = `account:test_config:${platform}:${accountId}`
try {
const client = this.getClientSafe()
await client.hset(key, {
enabled: testConfig.enabled ? 'true' : 'false',
cronExpression: testConfig.cronExpression || '0 8 * * *', // 默认每天早上8点
model: testConfig.model || 'claude-sonnet-4-5-20250929', // 默认模型
updatedAt: new Date().toISOString()
})
// 设置过期时间1年
await client.expire(key, ACCOUNT_TEST_CONFIG_TTL)
} catch (error) {
logger.error(`Failed to save test config for ${accountId}:`, error)
}
}
/**
* 获取定时测试配置
* @param {string} accountId - 账户ID
* @param {string} platform - 平台类型
* @returns {Promise<Object|null>} 配置对象
*/
redisClient.getAccountTestConfig = async function (accountId, platform) {
const key = `account:test_config:${platform}:${accountId}`
try {
const client = this.getClientSafe()
const testConfig = await client.hgetall(key)
if (!testConfig || Object.keys(testConfig).length === 0) {
return null
}
// 向后兼容:如果存在旧的 testHour 字段,转换为 cron 表达式
let { cronExpression } = testConfig
if (!cronExpression && testConfig.testHour) {
const hour = parseInt(testConfig.testHour, 10)
cronExpression = `0 ${hour} * * *`
}
return {
enabled: testConfig.enabled === 'true',
cronExpression: cronExpression || '0 8 * * *',
model: testConfig.model || 'claude-sonnet-4-5-20250929',
updatedAt: testConfig.updatedAt
}
} catch (error) {
logger.error(`Failed to get test config for ${accountId}:`, error)
return null
}
}
/**
* 获取所有启用定时测试的账户
* @param {string} platform - 平台类型
* @returns {Promise<Array>} 账户ID列表及 cron 配置
*/
redisClient.getEnabledTestAccounts = async function (platform) {
const accountIds = []
let cursor = '0'
try {
const client = this.getClientSafe()
do {
const [newCursor, keys] = await client.scan(
cursor,
'MATCH',
`account:test_config:${platform}:*`,
'COUNT',
100
)
cursor = newCursor
for (const key of keys) {
const testConfig = await client.hgetall(key)
if (testConfig && testConfig.enabled === 'true') {
const accountId = key.replace(`account:test_config:${platform}:`, '')
// 向后兼容:如果存在旧的 testHour 字段,转换为 cron 表达式
let { cronExpression } = testConfig
if (!cronExpression && testConfig.testHour) {
const hour = parseInt(testConfig.testHour, 10)
cronExpression = `0 ${hour} * * *`
}
accountIds.push({
accountId,
cronExpression: cronExpression || '0 8 * * *',
model: testConfig.model || 'claude-sonnet-4-5-20250929'
})
}
}
} while (cursor !== '0')
return accountIds
} catch (error) {
logger.error(`Failed to get enabled test accounts for ${platform}:`, error)
return []
}
}
/**
* 保存账户上次测试时间(用于调度器判断是否需要测试)
* @param {string} accountId - 账户ID
* @param {string} platform - 平台类型
*/
redisClient.setAccountLastTestTime = async function (accountId, platform) {
const key = `account:last_test:${platform}:${accountId}`
try {
const client = this.getClientSafe()
await client.set(key, Date.now().toString(), 'EX', 86400 * 7) // 7天过期
} catch (error) {
logger.error(`Failed to set last test time for ${accountId}:`, error)
}
}
/**
* 获取账户上次测试时间
* @param {string} accountId - 账户ID
* @param {string} platform - 平台类型
* @returns {Promise<number|null>} 上次测试时间戳
*/
redisClient.getAccountLastTestTime = async function (accountId, platform) {
const key = `account:last_test:${platform}:${accountId}`
try {
const client = this.getClientSafe()
const timestamp = await client.get(key)
return timestamp ? parseInt(timestamp, 10) : null
} catch (error) {
logger.error(`Failed to get last test time for ${accountId}:`, error)
return null
}
}
module.exports = redisClient

View File

@@ -945,6 +945,30 @@ async function calculateKeyStats(keyId, timeRange, startDate, endDate) {
allTimeCost = parseFloat((await client.get(totalCostKey)) || '0')
}
// 🔧 FIX: 对于 "全部时间" 时间范围,直接使用 allTimeCost
// 因为 usage:*:model:daily:* 键有 30 天 TTL旧数据已经过期
if (timeRange === 'all' && allTimeCost > 0) {
logger.debug(`📊 使用 allTimeCost 计算 timeRange='all': ${allTimeCost}`)
return {
requests: 0, // 旧数据详情不可用
tokens: 0,
inputTokens: 0,
outputTokens: 0,
cacheCreateTokens: 0,
cacheReadTokens: 0,
cost: allTimeCost,
formattedCost: CostCalculator.formatCost(allTimeCost),
// 实时限制数据(始终返回,不受时间范围影响)
dailyCost,
currentWindowCost,
windowRemainingSeconds,
windowStartTime,
windowEndTime,
allTimeCost
}
}
// 只在启用了窗口限制时查询窗口数据
if (rateLimitWindow > 0) {
const costCountKey = `rate_limit:cost:${keyId}`
@@ -1006,12 +1030,10 @@ async function calculateKeyStats(keyId, timeRange, startDate, endDate) {
const modelStatsMap = new Map()
let totalRequests = 0
// 用于去重:统计数据,避免与数据重复
// 用于去重:统计数据,避免与数据重复
const dailyKeyPattern = /usage:.+:model:daily:(.+):\d{4}-\d{2}-\d{2}$/
const monthlyKeyPattern = /usage:.+:model:monthly:(.+):\d{4}-\d{2}$/
// 检查是否有日数据
const hasDailyData = uniqueKeys.some((key) => dailyKeyPattern.test(key))
const currentMonth = `${tzDate.getUTCFullYear()}-${String(tzDate.getUTCMonth() + 1).padStart(2, '0')}`
for (let i = 0; i < results.length; i++) {
const [err, data] = results[i]
@@ -1038,8 +1060,12 @@ async function calculateKeyStats(keyId, timeRange, startDate, endDate) {
continue
}
// 如果有日数据,则跳过月数据以避免重复
if (hasDailyData && isMonthly) {
// 跳过当前月的月数据
if (isMonthly && key.includes(`:${currentMonth}`)) {
continue
}
// 跳过非当前月的日数据
if (!isMonthly && !key.includes(`:${currentMonth}-`)) {
continue
}

View File

@@ -9,6 +9,7 @@ const router = express.Router()
const claudeAccountService = require('../../services/claudeAccountService')
const claudeRelayService = require('../../services/claudeRelayService')
const accountGroupService = require('../../services/accountGroupService')
const accountTestSchedulerService = require('../../services/accountTestSchedulerService')
const apiKeyService = require('../../services/apiKeyService')
const redis = require('../../models/redis')
const { authenticateAdmin } = require('../../middleware/auth')
@@ -277,7 +278,7 @@ router.post('/claude-accounts/oauth-with-cookie', authenticateAdmin, async (req,
logger.info('🍪 Starting Cookie-based OAuth authorization', {
sessionKeyLength: trimmedSessionKey.length,
sessionKeyPrefix: trimmedSessionKey.substring(0, 10) + '...',
sessionKeyPrefix: `${trimmedSessionKey.substring(0, 10)}...`,
hasProxy: !!proxy
})
@@ -326,7 +327,7 @@ router.post('/claude-accounts/setup-token-with-cookie', authenticateAdmin, async
logger.info('🍪 Starting Cookie-based Setup Token authorization', {
sessionKeyLength: trimmedSessionKey.length,
sessionKeyPrefix: trimmedSessionKey.substring(0, 10) + '...',
sessionKeyPrefix: `${trimmedSessionKey.substring(0, 10)}...`,
hasProxy: !!proxy
})
@@ -583,7 +584,8 @@ router.post('/claude-accounts', authenticateAdmin, async (req, res) => {
useUnifiedClientId,
unifiedClientId,
expiresAt,
extInfo
extInfo,
maxConcurrency
} = req.body
if (!name) {
@@ -628,7 +630,8 @@ router.post('/claude-accounts', authenticateAdmin, async (req, res) => {
useUnifiedClientId: useUnifiedClientId === true, // 默认为false
unifiedClientId: unifiedClientId || '', // 统一的客户端标识
expiresAt: expiresAt || null, // 账户订阅到期时间
extInfo: extInfo || null
extInfo: extInfo || null,
maxConcurrency: maxConcurrency || 0 // 账户级串行队列0=使用全局配置,>0=强制启用
})
// 如果是分组类型,将账户添加到分组
@@ -903,4 +906,219 @@ router.post('/claude-accounts/:accountId/test', authenticateAdmin, async (req, r
}
})
// ============================================================================
// 账户定时测试相关端点
// ============================================================================
// 获取账户测试历史
router.get('/claude-accounts/:accountId/test-history', authenticateAdmin, async (req, res) => {
const { accountId } = req.params
try {
const history = await redis.getAccountTestHistory(accountId, 'claude')
return res.json({
success: true,
data: {
accountId,
platform: 'claude',
history
}
})
} catch (error) {
logger.error(`❌ Failed to get test history for account ${accountId}:`, error)
return res.status(500).json({
error: 'Failed to get test history',
message: error.message
})
}
})
// 获取账户定时测试配置
router.get('/claude-accounts/:accountId/test-config', authenticateAdmin, async (req, res) => {
const { accountId } = req.params
try {
const testConfig = await redis.getAccountTestConfig(accountId, 'claude')
return res.json({
success: true,
data: {
accountId,
platform: 'claude',
config: testConfig || {
enabled: false,
cronExpression: '0 8 * * *',
model: 'claude-sonnet-4-5-20250929'
}
}
})
} catch (error) {
logger.error(`❌ Failed to get test config for account ${accountId}:`, error)
return res.status(500).json({
error: 'Failed to get test config',
message: error.message
})
}
})
// 设置账户定时测试配置
router.put('/claude-accounts/:accountId/test-config', authenticateAdmin, async (req, res) => {
const { accountId } = req.params
const { enabled, cronExpression, model } = req.body
try {
// 验证 enabled 参数
if (typeof enabled !== 'boolean') {
return res.status(400).json({
error: 'Invalid parameter',
message: 'enabled must be a boolean'
})
}
// 验证 cronExpression 参数
if (!cronExpression || typeof cronExpression !== 'string') {
return res.status(400).json({
error: 'Invalid parameter',
message: 'cronExpression is required and must be a string'
})
}
// 限制 cronExpression 长度防止 DoS
const MAX_CRON_LENGTH = 100
if (cronExpression.length > MAX_CRON_LENGTH) {
return res.status(400).json({
error: 'Invalid parameter',
message: `cronExpression too long (max ${MAX_CRON_LENGTH} characters)`
})
}
// 使用 service 的方法验证 cron 表达式
if (!accountTestSchedulerService.validateCronExpression(cronExpression)) {
return res.status(400).json({
error: 'Invalid parameter',
message: `Invalid cron expression: ${cronExpression}. Format: "minute hour day month weekday" (e.g., "0 8 * * *" for daily at 8:00)`
})
}
// 验证模型参数
const testModel = model || 'claude-sonnet-4-5-20250929'
if (typeof testModel !== 'string' || testModel.length > 256) {
return res.status(400).json({
error: 'Invalid parameter',
message: 'model must be a valid string (max 256 characters)'
})
}
// 检查账户是否存在
const account = await claudeAccountService.getAccount(accountId)
if (!account) {
return res.status(404).json({
error: 'Account not found',
message: `Claude account ${accountId} not found`
})
}
// 保存配置
await redis.saveAccountTestConfig(accountId, 'claude', {
enabled,
cronExpression,
model: testModel
})
logger.success(
`📝 Updated test config for Claude account ${accountId}: enabled=${enabled}, cronExpression=${cronExpression}, model=${testModel}`
)
return res.json({
success: true,
message: 'Test config updated successfully',
data: {
accountId,
platform: 'claude',
config: { enabled, cronExpression, model: testModel }
}
})
} catch (error) {
logger.error(`❌ Failed to update test config for account ${accountId}:`, error)
return res.status(500).json({
error: 'Failed to update test config',
message: error.message
})
}
})
// 手动触发账户测试非流式返回JSON结果
router.post('/claude-accounts/:accountId/test-sync', authenticateAdmin, async (req, res) => {
const { accountId } = req.params
try {
// 检查账户是否存在
const account = await claudeAccountService.getAccount(accountId)
if (!account) {
return res.status(404).json({
error: 'Account not found',
message: `Claude account ${accountId} not found`
})
}
logger.info(`🧪 Manual sync test triggered for Claude account: ${accountId}`)
// 执行测试
const testResult = await claudeRelayService.testAccountConnectionSync(accountId)
// 保存测试结果到历史
await redis.saveAccountTestResult(accountId, 'claude', testResult)
await redis.setAccountLastTestTime(accountId, 'claude')
return res.json({
success: true,
data: {
accountId,
platform: 'claude',
result: testResult
}
})
} catch (error) {
logger.error(`❌ Failed to run sync test for account ${accountId}:`, error)
return res.status(500).json({
error: 'Failed to run test',
message: error.message
})
}
})
// 批量获取多个账户的测试历史
router.post('/claude-accounts/batch-test-history', authenticateAdmin, async (req, res) => {
const { accountIds } = req.body
try {
if (!Array.isArray(accountIds) || accountIds.length === 0) {
return res.status(400).json({
error: 'Invalid parameter',
message: 'accountIds must be a non-empty array'
})
}
// 限制批量查询数量
const limitedIds = accountIds.slice(0, 100)
const accounts = limitedIds.map((accountId) => ({
accountId,
platform: 'claude'
}))
const historyMap = await redis.getAccountsTestHistory(accounts)
return res.json({
success: true,
data: historyMap
})
} catch (error) {
logger.error('❌ Failed to get batch test history:', error)
return res.status(500).json({
error: 'Failed to get batch test history',
message: error.message
})
}
})
module.exports = router

View File

@@ -40,7 +40,14 @@ router.put('/claude-relay-config', authenticateAdmin, async (req, res) => {
claudeCodeOnlyEnabled,
globalSessionBindingEnabled,
sessionBindingErrorMessage,
sessionBindingTtlDays
sessionBindingTtlDays,
userMessageQueueEnabled,
userMessageQueueDelayMs,
userMessageQueueTimeoutMs,
concurrentRequestQueueEnabled,
concurrentRequestQueueMaxSize,
concurrentRequestQueueMaxSizeMultiplier,
concurrentRequestQueueTimeoutMs
} = req.body
// 验证输入
@@ -78,15 +85,117 @@ router.put('/claude-relay-config', authenticateAdmin, async (req, res) => {
}
}
// 验证用户消息队列配置
if (userMessageQueueEnabled !== undefined && typeof userMessageQueueEnabled !== 'boolean') {
return res.status(400).json({ error: 'userMessageQueueEnabled must be a boolean' })
}
if (userMessageQueueDelayMs !== undefined) {
if (
typeof userMessageQueueDelayMs !== 'number' ||
userMessageQueueDelayMs < 0 ||
userMessageQueueDelayMs > 10000
) {
return res
.status(400)
.json({ error: 'userMessageQueueDelayMs must be a number between 0 and 10000' })
}
}
if (userMessageQueueTimeoutMs !== undefined) {
if (
typeof userMessageQueueTimeoutMs !== 'number' ||
userMessageQueueTimeoutMs < 1000 ||
userMessageQueueTimeoutMs > 300000
) {
return res
.status(400)
.json({ error: 'userMessageQueueTimeoutMs must be a number between 1000 and 300000' })
}
}
// 验证并发请求排队配置
if (
concurrentRequestQueueEnabled !== undefined &&
typeof concurrentRequestQueueEnabled !== 'boolean'
) {
return res.status(400).json({ error: 'concurrentRequestQueueEnabled must be a boolean' })
}
if (concurrentRequestQueueMaxSize !== undefined) {
if (
typeof concurrentRequestQueueMaxSize !== 'number' ||
!Number.isInteger(concurrentRequestQueueMaxSize) ||
concurrentRequestQueueMaxSize < 1 ||
concurrentRequestQueueMaxSize > 100
) {
return res
.status(400)
.json({ error: 'concurrentRequestQueueMaxSize must be an integer between 1 and 100' })
}
}
if (concurrentRequestQueueMaxSizeMultiplier !== undefined) {
// 使用 Number.isFinite() 同时排除 NaN、Infinity、-Infinity 和非数字类型
if (
!Number.isFinite(concurrentRequestQueueMaxSizeMultiplier) ||
concurrentRequestQueueMaxSizeMultiplier < 0 ||
concurrentRequestQueueMaxSizeMultiplier > 10
) {
return res.status(400).json({
error: 'concurrentRequestQueueMaxSizeMultiplier must be a finite number between 0 and 10'
})
}
}
if (concurrentRequestQueueTimeoutMs !== undefined) {
if (
typeof concurrentRequestQueueTimeoutMs !== 'number' ||
!Number.isInteger(concurrentRequestQueueTimeoutMs) ||
concurrentRequestQueueTimeoutMs < 5000 ||
concurrentRequestQueueTimeoutMs > 300000
) {
return res.status(400).json({
error:
'concurrentRequestQueueTimeoutMs must be an integer between 5000 and 300000 (5 seconds to 5 minutes)'
})
}
}
const updateData = {}
if (claudeCodeOnlyEnabled !== undefined)
if (claudeCodeOnlyEnabled !== undefined) {
updateData.claudeCodeOnlyEnabled = claudeCodeOnlyEnabled
if (globalSessionBindingEnabled !== undefined)
}
if (globalSessionBindingEnabled !== undefined) {
updateData.globalSessionBindingEnabled = globalSessionBindingEnabled
if (sessionBindingErrorMessage !== undefined)
}
if (sessionBindingErrorMessage !== undefined) {
updateData.sessionBindingErrorMessage = sessionBindingErrorMessage
if (sessionBindingTtlDays !== undefined)
}
if (sessionBindingTtlDays !== undefined) {
updateData.sessionBindingTtlDays = sessionBindingTtlDays
}
if (userMessageQueueEnabled !== undefined) {
updateData.userMessageQueueEnabled = userMessageQueueEnabled
}
if (userMessageQueueDelayMs !== undefined) {
updateData.userMessageQueueDelayMs = userMessageQueueDelayMs
}
if (userMessageQueueTimeoutMs !== undefined) {
updateData.userMessageQueueTimeoutMs = userMessageQueueTimeoutMs
}
if (concurrentRequestQueueEnabled !== undefined) {
updateData.concurrentRequestQueueEnabled = concurrentRequestQueueEnabled
}
if (concurrentRequestQueueMaxSize !== undefined) {
updateData.concurrentRequestQueueMaxSize = concurrentRequestQueueMaxSize
}
if (concurrentRequestQueueMaxSizeMultiplier !== undefined) {
updateData.concurrentRequestQueueMaxSizeMultiplier = concurrentRequestQueueMaxSizeMultiplier
}
if (concurrentRequestQueueTimeoutMs !== undefined) {
updateData.concurrentRequestQueueTimeoutMs = concurrentRequestQueueTimeoutMs
}
const updatedConfig = await claudeRelayConfigService.updateConfig(
updateData,

View File

@@ -7,26 +7,40 @@ const express = require('express')
const router = express.Router()
const redis = require('../../models/redis')
const logger = require('../../utils/logger')
const { authenticateAdmin } = require('../../middleware/auth')
const { calculateWaitTimeStats } = require('../../utils/statsHelper')
/**
* GET /admin/concurrency
* 获取所有并发状态
*/
router.get('/concurrency', async (req, res) => {
router.get('/concurrency', authenticateAdmin, async (req, res) => {
try {
const status = await redis.getAllConcurrencyStatus()
// 为每个 API Key 获取排队计数
const statusWithQueue = await Promise.all(
status.map(async (s) => {
const queueCount = await redis.getConcurrencyQueueCount(s.apiKeyId)
return {
...s,
queueCount
}
})
)
// 计算汇总统计
const summary = {
totalKeys: status.length,
totalActiveRequests: status.reduce((sum, s) => sum + s.activeCount, 0),
totalExpiredRequests: status.reduce((sum, s) => sum + s.expiredCount, 0)
totalKeys: statusWithQueue.length,
totalActiveRequests: statusWithQueue.reduce((sum, s) => sum + s.activeCount, 0),
totalExpiredRequests: statusWithQueue.reduce((sum, s) => sum + s.expiredCount, 0),
totalQueuedRequests: statusWithQueue.reduce((sum, s) => sum + s.queueCount, 0)
}
res.json({
success: true,
summary,
concurrencyStatus: status
concurrencyStatus: statusWithQueue
})
} catch (error) {
logger.error('❌ Failed to get concurrency status:', error)
@@ -39,17 +53,171 @@ router.get('/concurrency', async (req, res) => {
})
/**
* GET /admin/concurrency/:apiKeyId
* 获取特定 API Key 的并发状态详情
* GET /admin/concurrency-queue/stats
* 获取排队统计信息
*/
router.get('/concurrency/:apiKeyId', async (req, res) => {
router.get('/concurrency-queue/stats', authenticateAdmin, async (req, res) => {
try {
const { apiKeyId } = req.params
const status = await redis.getConcurrencyStatus(apiKeyId)
// 获取所有有统计数据的 API Key
const statsKeys = await redis.scanConcurrencyQueueStatsKeys()
const queueKeys = await redis.scanConcurrencyQueueKeys()
// 合并所有相关的 API Key
const allApiKeyIds = [...new Set([...statsKeys, ...queueKeys])]
// 获取各 API Key 的详细统计
const perKeyStats = await Promise.all(
allApiKeyIds.map(async (apiKeyId) => {
const [queueCount, stats, waitTimes] = await Promise.all([
redis.getConcurrencyQueueCount(apiKeyId),
redis.getConcurrencyQueueStats(apiKeyId),
redis.getQueueWaitTimes(apiKeyId)
])
return {
apiKeyId,
currentQueueCount: queueCount,
stats,
waitTimeStats: calculateWaitTimeStats(waitTimes)
}
})
)
// 获取全局等待时间统计
const globalWaitTimes = await redis.getGlobalQueueWaitTimes()
const globalWaitTimeStats = calculateWaitTimeStats(globalWaitTimes)
// 计算全局汇总
const globalStats = {
totalEntered: perKeyStats.reduce((sum, s) => sum + s.stats.entered, 0),
totalSuccess: perKeyStats.reduce((sum, s) => sum + s.stats.success, 0),
totalTimeout: perKeyStats.reduce((sum, s) => sum + s.stats.timeout, 0),
totalCancelled: perKeyStats.reduce((sum, s) => sum + s.stats.cancelled, 0),
totalSocketChanged: perKeyStats.reduce((sum, s) => sum + (s.stats.socket_changed || 0), 0),
totalRejectedOverload: perKeyStats.reduce(
(sum, s) => sum + (s.stats.rejected_overload || 0),
0
),
currentTotalQueued: perKeyStats.reduce((sum, s) => sum + s.currentQueueCount, 0),
// 队列资源利用率指标
peakQueueSize:
perKeyStats.length > 0 ? Math.max(...perKeyStats.map((s) => s.currentQueueCount)) : 0,
avgQueueSize:
perKeyStats.length > 0
? Math.round(
perKeyStats.reduce((sum, s) => sum + s.currentQueueCount, 0) / perKeyStats.length
)
: 0,
activeApiKeys: perKeyStats.filter((s) => s.currentQueueCount > 0).length
}
// 计算成功率
if (globalStats.totalEntered > 0) {
globalStats.successRate = Math.round(
(globalStats.totalSuccess / globalStats.totalEntered) * 100
)
globalStats.timeoutRate = Math.round(
(globalStats.totalTimeout / globalStats.totalEntered) * 100
)
globalStats.cancelledRate = Math.round(
(globalStats.totalCancelled / globalStats.totalEntered) * 100
)
}
// 从全局等待时间统计中提取关键指标
if (globalWaitTimeStats) {
globalStats.avgWaitTimeMs = globalWaitTimeStats.avg
globalStats.p50WaitTimeMs = globalWaitTimeStats.p50
globalStats.p90WaitTimeMs = globalWaitTimeStats.p90
globalStats.p99WaitTimeMs = globalWaitTimeStats.p99
// 多实例采样策略标记(详见 design.md Decision 9
// 全局 P90 仅用于可视化和监控,不用于系统决策
// 健康检查使用 API Key 级别的 P90每 Key 独立采样)
globalWaitTimeStats.globalP90ForVisualizationOnly = true
}
res.json({
success: true,
concurrencyStatus: status
globalStats,
globalWaitTimeStats,
perKeyStats
})
} catch (error) {
logger.error('❌ Failed to get queue stats:', error)
res.status(500).json({
success: false,
error: 'Failed to get queue stats',
message: error.message
})
}
})
/**
* DELETE /admin/concurrency-queue/:apiKeyId
* 清理特定 API Key 的排队计数
*/
router.delete('/concurrency-queue/:apiKeyId', authenticateAdmin, async (req, res) => {
try {
const { apiKeyId } = req.params
await redis.clearConcurrencyQueue(apiKeyId)
logger.warn(`🧹 Admin ${req.admin?.username || 'unknown'} cleared queue for key ${apiKeyId}`)
res.json({
success: true,
message: `Successfully cleared queue for API key ${apiKeyId}`
})
} catch (error) {
logger.error(`❌ Failed to clear queue for ${req.params.apiKeyId}:`, error)
res.status(500).json({
success: false,
error: 'Failed to clear queue',
message: error.message
})
}
})
/**
* DELETE /admin/concurrency-queue
* 清理所有排队计数
*/
router.delete('/concurrency-queue', authenticateAdmin, async (req, res) => {
try {
const cleared = await redis.clearAllConcurrencyQueues()
logger.warn(`🧹 Admin ${req.admin?.username || 'unknown'} cleared ALL queues`)
res.json({
success: true,
message: 'Successfully cleared all queues',
cleared
})
} catch (error) {
logger.error('❌ Failed to clear all queues:', error)
res.status(500).json({
success: false,
error: 'Failed to clear all queues',
message: error.message
})
}
})
/**
* GET /admin/concurrency/:apiKeyId
* 获取特定 API Key 的并发状态详情
*/
router.get('/concurrency/:apiKeyId', authenticateAdmin, async (req, res) => {
try {
const { apiKeyId } = req.params
const status = await redis.getConcurrencyStatus(apiKeyId)
const queueCount = await redis.getConcurrencyQueueCount(apiKeyId)
res.json({
success: true,
concurrencyStatus: {
...status,
queueCount
}
})
} catch (error) {
logger.error(`❌ Failed to get concurrency status for ${req.params.apiKeyId}:`, error)
@@ -65,7 +233,7 @@ router.get('/concurrency/:apiKeyId', async (req, res) => {
* DELETE /admin/concurrency/:apiKeyId
* 强制清理特定 API Key 的并发计数
*/
router.delete('/concurrency/:apiKeyId', async (req, res) => {
router.delete('/concurrency/:apiKeyId', authenticateAdmin, async (req, res) => {
try {
const { apiKeyId } = req.params
const result = await redis.forceClearConcurrency(apiKeyId)
@@ -93,7 +261,7 @@ router.delete('/concurrency/:apiKeyId', async (req, res) => {
* DELETE /admin/concurrency
* 强制清理所有并发计数
*/
router.delete('/concurrency', async (req, res) => {
router.delete('/concurrency', authenticateAdmin, async (req, res) => {
try {
const result = await redis.forceClearAllConcurrency()
@@ -118,7 +286,7 @@ router.delete('/concurrency', async (req, res) => {
* POST /admin/concurrency/cleanup
* 清理过期的并发条目(不影响活跃请求)
*/
router.post('/concurrency/cleanup', async (req, res) => {
router.post('/concurrency/cleanup', authenticateAdmin, async (req, res) => {
try {
const { apiKeyId } = req.body
const result = await redis.cleanupExpiredConcurrency(apiKeyId || null)

View File

@@ -38,6 +38,73 @@ function queueRateLimitUpdate(rateLimitInfo, usageSummary, model, context = '')
})
}
/**
* 判断是否为旧会话(污染的会话)
* Claude Code 发送的请求特点:
* - messages 数组通常只有 1 个元素
* - 历史对话记录嵌套在单个 message 的 content 数组中
* - content 数组中包含 <system-reminder> 开头的系统注入内容
*
* 污染会话的特征:
* 1. messages.length > 1
* 2. messages.length === 1 但 content 中有多个用户输入
* 3. "warmup" 请求:单条简单消息 + 无 tools真正新会话会带 tools
*
* @param {Object} body - 请求体
* @returns {boolean} 是否为旧会话
*/
function isOldSession(body) {
const messages = body?.messages
const tools = body?.tools
if (!messages || messages.length === 0) {
return false
}
// 1. 多条消息 = 旧会话
if (messages.length > 1) {
return true
}
// 2. 单条消息,分析 content
const firstMessage = messages[0]
const content = firstMessage?.content
if (!content) {
return false
}
// 如果 content 是字符串,只有一条输入,需要检查 tools
if (typeof content === 'string') {
// 有 tools = 正常新会话,无 tools = 可疑
return !tools || tools.length === 0
}
// 如果 content 是数组,统计非 system-reminder 的元素
if (Array.isArray(content)) {
const userInputs = content.filter((item) => {
if (item.type !== 'text') {
return false
}
const text = item.text || ''
// 剔除以 <system-reminder> 开头的
return !text.trimStart().startsWith('<system-reminder>')
})
// 多个用户输入 = 旧会话
if (userInputs.length > 1) {
return true
}
// Warmup 检测:单个消息 + 无 tools = 旧会话
if (userInputs.length === 1 && (!tools || tools.length === 0)) {
return true
}
}
return false
}
// 🔧 共享的消息处理函数
async function handleMessagesRequest(req, res) {
try {
@@ -123,12 +190,42 @@ async function handleMessagesRequest(req, res) {
)
if (isStream) {
// 🔍 检查客户端连接是否仍然有效(可能在并发排队等待期间断开)
if (res.destroyed || res.socket?.destroyed || res.writableEnded) {
logger.warn(
`⚠️ Client disconnected before stream response could start for key: ${req.apiKey?.name || 'unknown'}`
)
return undefined
}
// 流式响应 - 只使用官方真实usage数据
res.setHeader('Content-Type', 'text/event-stream')
res.setHeader('Cache-Control', 'no-cache')
res.setHeader('Connection', 'keep-alive')
res.setHeader('Access-Control-Allow-Origin', '*')
res.setHeader('X-Accel-Buffering', 'no') // 禁用 Nginx 缓冲
// ⚠️ 检查 headers 是否已发送(可能在排队心跳时已设置)
if (!res.headersSent) {
res.setHeader('Content-Type', 'text/event-stream')
res.setHeader('Cache-Control', 'no-cache')
// ⚠️ 关键修复:尊重 auth.js 提前设置的 Connection: close
// 当并发队列功能启用时auth.js 会设置 Connection: close 来禁用 Keep-Alive
// 这里只在没有设置过 Connection 头时才设置 keep-alive
const existingConnection = res.getHeader('Connection')
if (!existingConnection) {
res.setHeader('Connection', 'keep-alive')
} else {
logger.api(
`🔌 [STREAM] Preserving existing Connection header: ${existingConnection} for key: ${req.apiKey?.name || 'unknown'}`
)
}
res.setHeader('Access-Control-Allow-Origin', '*')
res.setHeader('X-Accel-Buffering', 'no') // 禁用 Nginx 缓冲
} else {
logger.debug(
`📤 [STREAM] Headers already sent, skipping setHeader for key: ${req.apiKey?.name || 'unknown'}`
)
}
// 禁用 Nagle 算法,确保数据立即发送
if (res.socket && typeof res.socket.setNoDelay === 'function') {
@@ -233,19 +330,18 @@ async function handleMessagesRequest(req, res) {
}
// 🔗 在成功调度后建立会话绑定(仅 claude-official 类型)
// claude-official 只接受1) 新会话(messages.length=1) 2) 已绑定的会话
// claude-official 只接受1) 新会话 2) 已绑定的会话
if (
needSessionBinding &&
originalSessionIdForBinding &&
accountId &&
accountType === 'claude-official'
) {
// 🚫 新会话必须 messages.length === 1
const messages = req.body?.messages
if (messages && messages.length > 1) {
// 🚫 检测旧会话(污染的会话)
if (isOldSession(req.body)) {
const cfg = await claudeRelayConfigService.getConfig()
logger.warn(
`🚫 New session with messages.length > 1 rejected: sessionId=${originalSessionIdForBinding}, messages.length=${messages.length}`
`🚫 Old session rejected: sessionId=${originalSessionIdForBinding}, messages.length=${req.body?.messages?.length}, tools.length=${req.body?.tools?.length || 0}, isOldSession=true`
)
return res.status(400).json({
error: {
@@ -591,12 +687,61 @@ async function handleMessagesRequest(req, res) {
}
}, 1000) // 1秒后检查
} else {
// 🔍 检查客户端连接是否仍然有效(可能在并发排队等待期间断开)
if (res.destroyed || res.socket?.destroyed || res.writableEnded) {
logger.warn(
`⚠️ Client disconnected before non-stream request could start for key: ${req.apiKey?.name || 'unknown'}`
)
return undefined
}
// 非流式响应 - 只使用官方真实usage数据
logger.info('📄 Starting non-streaming request', {
apiKeyId: req.apiKey.id,
apiKeyName: req.apiKey.name
})
// 📊 监听 socket 事件以追踪连接状态变化
const nonStreamSocket = res.socket
let _clientClosedConnection = false
let _socketCloseTime = null
if (nonStreamSocket) {
const onSocketEnd = () => {
_clientClosedConnection = true
_socketCloseTime = Date.now()
logger.warn(
`⚠️ [NON-STREAM] Socket 'end' event - client sent FIN | key: ${req.apiKey?.name}, ` +
`requestId: ${req.requestId}, elapsed: ${Date.now() - startTime}ms`
)
}
const onSocketClose = () => {
_clientClosedConnection = true
logger.warn(
`⚠️ [NON-STREAM] Socket 'close' event | key: ${req.apiKey?.name}, ` +
`requestId: ${req.requestId}, elapsed: ${Date.now() - startTime}ms, ` +
`hadError: ${nonStreamSocket.destroyed}`
)
}
const onSocketError = (err) => {
logger.error(
`❌ [NON-STREAM] Socket error | key: ${req.apiKey?.name}, ` +
`requestId: ${req.requestId}, error: ${err.message}`
)
}
nonStreamSocket.once('end', onSocketEnd)
nonStreamSocket.once('close', onSocketClose)
nonStreamSocket.once('error', onSocketError)
// 清理监听器(在响应结束后)
res.once('finish', () => {
nonStreamSocket.removeListener('end', onSocketEnd)
nonStreamSocket.removeListener('close', onSocketClose)
nonStreamSocket.removeListener('error', onSocketError)
})
}
// 生成会话哈希用于sticky会话
const sessionHash = sessionHelper.generateSessionHash(req.body)
@@ -684,19 +829,18 @@ async function handleMessagesRequest(req, res) {
}
// 🔗 在成功调度后建立会话绑定(非流式,仅 claude-official 类型)
// claude-official 只接受1) 新会话(messages.length=1) 2) 已绑定的会话
// claude-official 只接受1) 新会话 2) 已绑定的会话
if (
needSessionBindingNonStream &&
originalSessionIdForBindingNonStream &&
accountId &&
accountType === 'claude-official'
) {
// 🚫 新会话必须 messages.length === 1
const messages = req.body?.messages
if (messages && messages.length > 1) {
// 🚫 检测旧会话(污染的会话)
if (isOldSession(req.body)) {
const cfg = await claudeRelayConfigService.getConfig()
logger.warn(
`🚫 New session with messages.length > 1 rejected (non-stream): sessionId=${originalSessionIdForBindingNonStream}, messages.length=${messages.length}`
`🚫 Old session rejected (non-stream): sessionId=${originalSessionIdForBindingNonStream}, messages.length=${req.body?.messages?.length}, tools.length=${req.body?.tools?.length || 0}, isOldSession=true`
)
return res.status(400).json({
error: {
@@ -802,6 +946,15 @@ async function handleMessagesRequest(req, res) {
bodyLength: response.body ? response.body.length : 0
})
// 🔍 检查客户端连接是否仍然有效
// 在长时间请求过程中,客户端可能已经断开连接(超时、用户取消等)
if (res.destroyed || res.socket?.destroyed || res.writableEnded) {
logger.warn(
`⚠️ Client disconnected before non-stream response could be sent for key: ${req.apiKey?.name || 'unknown'}`
)
return undefined
}
res.status(response.statusCode)
// 设置响应头,避免 Content-Length 和 Transfer-Encoding 冲突
@@ -867,10 +1020,12 @@ async function handleMessagesRequest(req, res) {
logger.warn('⚠️ No usage data found in Claude API JSON response')
}
// 使用 Express 内建的 res.json() 发送响应(简单可靠)
res.json(jsonData)
} catch (parseError) {
logger.warn('⚠️ Failed to parse Claude API response as JSON:', parseError.message)
logger.info('📄 Raw response body:', response.body)
// 使用 Express 内建的 res.send() 发送响应(简单可靠)
res.send(response.body)
}
@@ -1157,6 +1312,41 @@ router.post('/v1/messages/count_tokens', authenticateApiKey, async (req, res) =>
})
}
// 🔗 会话绑定验证(与 messages 端点保持一致)
const originalSessionId = claudeRelayConfigService.extractOriginalSessionId(req.body)
const sessionValidation = await claudeRelayConfigService.validateNewSession(
req.body,
originalSessionId
)
if (!sessionValidation.valid) {
logger.warn(
`🚫 Session binding validation failed (count_tokens): ${sessionValidation.code} for session ${originalSessionId}`
)
return res.status(400).json({
error: {
type: 'session_binding_error',
message: sessionValidation.error
}
})
}
// 🔗 检测旧会话(污染的会话)- 仅对需要绑定的新会话检查
if (sessionValidation.isNewSession && originalSessionId) {
if (isOldSession(req.body)) {
const cfg = await claudeRelayConfigService.getConfig()
logger.warn(
`🚫 Old session rejected (count_tokens): sessionId=${originalSessionId}, messages.length=${req.body?.messages?.length}, tools.length=${req.body?.tools?.length || 0}, isOldSession=true`
)
return res.status(400).json({
error: {
type: 'session_binding_error',
message: cfg.sessionBindingErrorMessage || '你的本地session已污染请清理后使用。'
}
})
}
}
logger.info(`🔢 Processing token count request for key: ${req.apiKey.name}`)
const sessionHash = sessionHelper.generateSessionHash(req.body)

View File

@@ -206,74 +206,85 @@ router.post('/api/user-stats', async (req, res) => {
// 获取验证结果中的完整keyData包含isActive状态和cost信息
const fullKeyData = keyData
// 计算总费用 - 使用与模型统计相同的逻辑(按模型分别计算)
// 🔧 FIX: 使用 allTimeCost 而不是扫描月度键
// 计算总费用 - 优先使用持久化的总费用计数器
let totalCost = 0
let formattedCost = '$0.000000'
try {
const client = redis.getClientSafe()
// 获取所有月度模型统计与model-stats接口相同的逻辑
const allModelKeys = await client.keys(`usage:${keyId}:model:monthly:*:*`)
const modelUsageMap = new Map()
// 读取累积的总费用(没有 TTL 的持久键
const totalCostKey = `usage:cost:total:${keyId}`
const allTimeCost = parseFloat((await client.get(totalCostKey)) || '0')
for (const key of allModelKeys) {
const modelMatch = key.match(/usage:.+:model:monthly:(.+):(\d{4}-\d{2})$/)
if (!modelMatch) {
continue
}
if (allTimeCost > 0) {
totalCost = allTimeCost
formattedCost = CostCalculator.formatCost(allTimeCost)
logger.debug(`📊 使用 allTimeCost 计算用户统计: ${allTimeCost}`)
} else {
// Fallback: 如果 allTimeCost 为空(旧键),尝试月度键
const allModelKeys = await client.keys(`usage:${keyId}:model:monthly:*:*`)
const modelUsageMap = new Map()
const model = modelMatch[1]
const data = await client.hgetall(key)
if (data && Object.keys(data).length > 0) {
if (!modelUsageMap.has(model)) {
modelUsageMap.set(model, {
inputTokens: 0,
outputTokens: 0,
cacheCreateTokens: 0,
cacheReadTokens: 0
})
for (const key of allModelKeys) {
const modelMatch = key.match(/usage:.+:model:monthly:(.+):(\d{4}-\d{2})$/)
if (!modelMatch) {
continue
}
const modelUsage = modelUsageMap.get(model)
modelUsage.inputTokens += parseInt(data.inputTokens) || 0
modelUsage.outputTokens += parseInt(data.outputTokens) || 0
modelUsage.cacheCreateTokens += parseInt(data.cacheCreateTokens) || 0
modelUsage.cacheReadTokens += parseInt(data.cacheReadTokens) || 0
}
}
const model = modelMatch[1]
const data = await client.hgetall(key)
// 按模型计算费用并汇总
for (const [model, usage] of modelUsageMap) {
const usageData = {
input_tokens: usage.inputTokens,
output_tokens: usage.outputTokens,
cache_creation_input_tokens: usage.cacheCreateTokens,
cache_read_input_tokens: usage.cacheReadTokens
if (data && Object.keys(data).length > 0) {
if (!modelUsageMap.has(model)) {
modelUsageMap.set(model, {
inputTokens: 0,
outputTokens: 0,
cacheCreateTokens: 0,
cacheReadTokens: 0
})
}
const modelUsage = modelUsageMap.get(model)
modelUsage.inputTokens += parseInt(data.inputTokens) || 0
modelUsage.outputTokens += parseInt(data.outputTokens) || 0
modelUsage.cacheCreateTokens += parseInt(data.cacheCreateTokens) || 0
modelUsage.cacheReadTokens += parseInt(data.cacheReadTokens) || 0
}
}
const costResult = CostCalculator.calculateCost(usageData, model)
totalCost += costResult.costs.total
}
// 按模型计算费用并汇总
for (const [model, usage] of modelUsageMap) {
const usageData = {
input_tokens: usage.inputTokens,
output_tokens: usage.outputTokens,
cache_creation_input_tokens: usage.cacheCreateTokens,
cache_read_input_tokens: usage.cacheReadTokens
}
// 如果没有模型级别的详细数据,回退到总体数据计算
if (modelUsageMap.size === 0 && fullKeyData.usage?.total?.allTokens > 0) {
const usage = fullKeyData.usage.total
const costUsage = {
input_tokens: usage.inputTokens || 0,
output_tokens: usage.outputTokens || 0,
cache_creation_input_tokens: usage.cacheCreateTokens || 0,
cache_read_input_tokens: usage.cacheReadTokens || 0
const costResult = CostCalculator.calculateCost(usageData, model)
totalCost += costResult.costs.total
}
const costResult = CostCalculator.calculateCost(costUsage, 'claude-3-5-sonnet-20241022')
totalCost = costResult.costs.total
}
// 如果没有模型级别的详细数据,回退到总体数据计算
if (modelUsageMap.size === 0 && fullKeyData.usage?.total?.allTokens > 0) {
const usage = fullKeyData.usage.total
const costUsage = {
input_tokens: usage.inputTokens || 0,
output_tokens: usage.outputTokens || 0,
cache_creation_input_tokens: usage.cacheCreateTokens || 0,
cache_read_input_tokens: usage.cacheReadTokens || 0
}
formattedCost = CostCalculator.formatCost(totalCost)
const costResult = CostCalculator.calculateCost(costUsage, 'claude-3-5-sonnet-20241022')
totalCost = costResult.costs.total
}
formattedCost = CostCalculator.formatCost(totalCost)
}
} catch (error) {
logger.warn(`Failed to calculate detailed cost for key ${keyId}:`, error)
logger.warn(`Failed to calculate cost for key ${keyId}:`, error)
// 回退到简单计算
if (fullKeyData.usage?.total?.allTokens > 0) {
const usage = fullKeyData.usage.total

View File

@@ -0,0 +1,420 @@
/**
* 账户定时测试调度服务
* 使用 node-cron 支持 crontab 表达式,为每个账户创建独立的定时任务
*/
const cron = require('node-cron')
const redis = require('../models/redis')
const logger = require('../utils/logger')
class AccountTestSchedulerService {
constructor() {
// 存储每个账户的 cron 任务: Map<string, { task: ScheduledTask, cronExpression: string }>
this.scheduledTasks = new Map()
// 定期刷新配置的间隔 (毫秒)
this.refreshIntervalMs = 60 * 1000
this.refreshInterval = null
// 当前正在测试的账户
this.testingAccounts = new Set()
// 是否已启动
this.isStarted = false
}
/**
* 验证 cron 表达式是否有效
* @param {string} cronExpression - cron 表达式
* @returns {boolean}
*/
validateCronExpression(cronExpression) {
// 长度检查(防止 DoS
if (!cronExpression || cronExpression.length > 100) {
return false
}
return cron.validate(cronExpression)
}
/**
* 启动调度器
*/
async start() {
if (this.isStarted) {
logger.warn('⚠️ Account test scheduler is already running')
return
}
this.isStarted = true
logger.info('🚀 Starting account test scheduler service (node-cron mode)')
// 初始化所有已配置账户的定时任务
await this._refreshAllTasks()
// 定期刷新配置,以便动态添加/修改的配置能生效
this.refreshInterval = setInterval(() => {
this._refreshAllTasks()
}, this.refreshIntervalMs)
logger.info(
`📅 Account test scheduler started (refreshing configs every ${this.refreshIntervalMs / 1000}s)`
)
}
/**
* 停止调度器
*/
stop() {
if (this.refreshInterval) {
clearInterval(this.refreshInterval)
this.refreshInterval = null
}
// 停止所有 cron 任务
for (const [accountKey, taskInfo] of this.scheduledTasks.entries()) {
taskInfo.task.stop()
logger.debug(`🛑 Stopped cron task for ${accountKey}`)
}
this.scheduledTasks.clear()
this.isStarted = false
logger.info('🛑 Account test scheduler stopped')
}
/**
* 刷新所有账户的定时任务
* @private
*/
async _refreshAllTasks() {
try {
const platforms = ['claude', 'gemini', 'openai']
const activeAccountKeys = new Set()
// 并行加载所有平台的配置
const allEnabledAccounts = await Promise.all(
platforms.map((platform) =>
redis
.getEnabledTestAccounts(platform)
.then((accounts) => accounts.map((acc) => ({ ...acc, platform })))
.catch((error) => {
logger.warn(`⚠️ Failed to load test accounts for platform ${platform}:`, error)
return []
})
)
)
// 展平平台数据
const flatAccounts = allEnabledAccounts.flat()
for (const { accountId, cronExpression, model, platform } of flatAccounts) {
if (!cronExpression) {
logger.warn(
`⚠️ Account ${accountId} (${platform}) has no valid cron expression, skipping`
)
continue
}
const accountKey = `${platform}:${accountId}`
activeAccountKeys.add(accountKey)
// 检查是否需要更新任务
const existingTask = this.scheduledTasks.get(accountKey)
if (existingTask) {
// 如果 cron 表达式和模型都没变,不需要更新
if (existingTask.cronExpression === cronExpression && existingTask.model === model) {
continue
}
// 配置变了,停止旧任务
existingTask.task.stop()
logger.info(`🔄 Updating cron task for ${accountKey}: ${cronExpression}, model: ${model}`)
} else {
logger.info(` Creating cron task for ${accountKey}: ${cronExpression}, model: ${model}`)
}
// 创建新的 cron 任务
this._createCronTask(accountId, platform, cronExpression, model)
}
// 清理已删除或禁用的账户任务
for (const [accountKey, taskInfo] of this.scheduledTasks.entries()) {
if (!activeAccountKeys.has(accountKey)) {
taskInfo.task.stop()
this.scheduledTasks.delete(accountKey)
logger.info(` Removed cron task for ${accountKey} (disabled or deleted)`)
}
}
} catch (error) {
logger.error('❌ Error refreshing account test tasks:', error)
}
}
/**
* 为单个账户创建 cron 任务
* @param {string} accountId
* @param {string} platform
* @param {string} cronExpression
* @param {string} model - 测试使用的模型
* @private
*/
_createCronTask(accountId, platform, cronExpression, model) {
const accountKey = `${platform}:${accountId}`
// 验证 cron 表达式
if (!this.validateCronExpression(cronExpression)) {
logger.error(`❌ Invalid cron expression for ${accountKey}: ${cronExpression}`)
return
}
const task = cron.schedule(
cronExpression,
async () => {
await this._runAccountTest(accountId, platform, model)
},
{
scheduled: true,
timezone: process.env.TZ || 'Asia/Shanghai'
}
)
this.scheduledTasks.set(accountKey, {
task,
cronExpression,
model,
accountId,
platform
})
}
/**
* 执行单个账户测试
* @param {string} accountId - 账户ID
* @param {string} platform - 平台类型
* @param {string} model - 测试使用的模型
* @private
*/
async _runAccountTest(accountId, platform, model) {
const accountKey = `${platform}:${accountId}`
// 避免重复测试
if (this.testingAccounts.has(accountKey)) {
logger.debug(`⏳ Account ${accountKey} is already being tested, skipping`)
return
}
this.testingAccounts.add(accountKey)
try {
logger.info(
`🧪 Running scheduled test for ${platform} account: ${accountId} (model: ${model})`
)
let testResult
// 根据平台调用对应的测试方法
switch (platform) {
case 'claude':
testResult = await this._testClaudeAccount(accountId, model)
break
case 'gemini':
testResult = await this._testGeminiAccount(accountId, model)
break
case 'openai':
testResult = await this._testOpenAIAccount(accountId, model)
break
default:
testResult = {
success: false,
error: `Unsupported platform: ${platform}`,
timestamp: new Date().toISOString()
}
}
// 保存测试结果
await redis.saveAccountTestResult(accountId, platform, testResult)
// 更新最后测试时间
await redis.setAccountLastTestTime(accountId, platform)
// 记录日志
if (testResult.success) {
logger.info(
`✅ Scheduled test passed for ${platform} account ${accountId} (${testResult.latencyMs}ms)`
)
} else {
logger.warn(
`❌ Scheduled test failed for ${platform} account ${accountId}: ${testResult.error}`
)
}
return testResult
} catch (error) {
logger.error(`❌ Error testing ${platform} account ${accountId}:`, error)
const errorResult = {
success: false,
error: error.message,
timestamp: new Date().toISOString()
}
await redis.saveAccountTestResult(accountId, platform, errorResult)
await redis.setAccountLastTestTime(accountId, platform)
return errorResult
} finally {
this.testingAccounts.delete(accountKey)
}
}
/**
* 测试 Claude 账户
* @param {string} accountId
* @param {string} model - 测试使用的模型
* @private
*/
async _testClaudeAccount(accountId, model) {
const claudeRelayService = require('./claudeRelayService')
return await claudeRelayService.testAccountConnectionSync(accountId, model)
}
/**
* 测试 Gemini 账户
* @param {string} _accountId
* @param {string} _model
* @private
*/
async _testGeminiAccount(_accountId, _model) {
// Gemini 测试暂时返回未实现
return {
success: false,
error: 'Gemini scheduled test not implemented yet',
timestamp: new Date().toISOString()
}
}
/**
* 测试 OpenAI 账户
* @param {string} _accountId
* @param {string} _model
* @private
*/
async _testOpenAIAccount(_accountId, _model) {
// OpenAI 测试暂时返回未实现
return {
success: false,
error: 'OpenAI scheduled test not implemented yet',
timestamp: new Date().toISOString()
}
}
/**
* 手动触发账户测试
* @param {string} accountId - 账户ID
* @param {string} platform - 平台类型
* @param {string} model - 测试使用的模型
* @returns {Promise<Object>} 测试结果
*/
async triggerTest(accountId, platform, model = 'claude-sonnet-4-5-20250929') {
logger.info(`🎯 Manual test triggered for ${platform} account: ${accountId} (model: ${model})`)
return await this._runAccountTest(accountId, platform, model)
}
/**
* 获取账户测试历史
* @param {string} accountId - 账户ID
* @param {string} platform - 平台类型
* @returns {Promise<Array>} 测试历史
*/
async getTestHistory(accountId, platform) {
return await redis.getAccountTestHistory(accountId, platform)
}
/**
* 获取账户测试配置
* @param {string} accountId - 账户ID
* @param {string} platform - 平台类型
* @returns {Promise<Object|null>}
*/
async getTestConfig(accountId, platform) {
return await redis.getAccountTestConfig(accountId, platform)
}
/**
* 设置账户测试配置
* @param {string} accountId - 账户ID
* @param {string} platform - 平台类型
* @param {Object} testConfig - 测试配置 { enabled: boolean, cronExpression: string, model: string }
* @returns {Promise<void>}
*/
async setTestConfig(accountId, platform, testConfig) {
// 验证 cron 表达式
if (testConfig.cronExpression && !this.validateCronExpression(testConfig.cronExpression)) {
throw new Error(`Invalid cron expression: ${testConfig.cronExpression}`)
}
await redis.saveAccountTestConfig(accountId, platform, testConfig)
logger.info(
`📝 Test config updated for ${platform} account ${accountId}: enabled=${testConfig.enabled}, cronExpression=${testConfig.cronExpression}, model=${testConfig.model}`
)
// 立即刷新任务,使配置立即生效
if (this.isStarted) {
await this._refreshAllTasks()
}
}
/**
* 更新单个账户的定时任务(配置变更时调用)
* @param {string} accountId
* @param {string} platform
*/
async refreshAccountTask(accountId, platform) {
if (!this.isStarted) {
return
}
const accountKey = `${platform}:${accountId}`
const testConfig = await redis.getAccountTestConfig(accountId, platform)
// 停止现有任务
const existingTask = this.scheduledTasks.get(accountKey)
if (existingTask) {
existingTask.task.stop()
this.scheduledTasks.delete(accountKey)
}
// 如果启用且有有效的 cron 表达式,创建新任务
if (testConfig?.enabled && testConfig?.cronExpression) {
this._createCronTask(accountId, platform, testConfig.cronExpression, testConfig.model)
logger.info(
`🔄 Refreshed cron task for ${accountKey}: ${testConfig.cronExpression}, model: ${testConfig.model}`
)
}
}
/**
* 获取调度器状态
* @returns {Object}
*/
getStatus() {
const tasks = []
for (const [accountKey, taskInfo] of this.scheduledTasks.entries()) {
tasks.push({
accountKey,
accountId: taskInfo.accountId,
platform: taskInfo.platform,
cronExpression: taskInfo.cronExpression,
model: taskInfo.model
})
}
return {
running: this.isStarted,
refreshIntervalMs: this.refreshIntervalMs,
scheduledTasksCount: this.scheduledTasks.size,
scheduledTasks: tasks,
currentlyTesting: Array.from(this.testingAccounts)
}
}
}
// 单例模式
const accountTestSchedulerService = new AccountTestSchedulerService()
module.exports = accountTestSchedulerService

View File

@@ -6,6 +6,7 @@ const {
const { fromEnv } = require('@aws-sdk/credential-providers')
const logger = require('../utils/logger')
const config = require('../../config/config')
const userMessageQueueService = require('./userMessageQueueService')
class BedrockRelayService {
constructor() {
@@ -69,7 +70,68 @@ class BedrockRelayService {
// 处理非流式请求
async handleNonStreamRequest(requestBody, bedrockAccount = null) {
const accountId = bedrockAccount?.id
let queueLockAcquired = false
let queueRequestId = null
try {
// 📬 用户消息队列处理
if (userMessageQueueService.isUserMessageRequest(requestBody)) {
// 校验 accountId 非空,避免空值污染队列锁键
if (!accountId || accountId === '') {
logger.error('❌ accountId missing for queue lock in Bedrock handleNonStreamRequest')
throw new Error('accountId missing for queue lock')
}
const queueResult = await userMessageQueueService.acquireQueueLock(accountId)
if (!queueResult.acquired && !queueResult.skipped) {
// 区分 Redis 后端错误和队列超时
const isBackendError = queueResult.error === 'queue_backend_error'
const errorCode = isBackendError ? 'QUEUE_BACKEND_ERROR' : 'QUEUE_TIMEOUT'
const errorType = isBackendError ? 'queue_backend_error' : 'queue_timeout'
const errorMessage = isBackendError
? 'Queue service temporarily unavailable, please retry later'
: 'User message queue wait timeout, please retry later'
const statusCode = isBackendError ? 500 : 503
// 结构化性能日志,用于后续统计
logger.performance('user_message_queue_error', {
errorType,
errorCode,
accountId,
statusCode,
backendError: isBackendError ? queueResult.errorMessage : undefined
})
logger.warn(
`📬 User message queue ${errorType} for Bedrock account ${accountId}`,
isBackendError ? { backendError: queueResult.errorMessage } : {}
)
return {
statusCode,
headers: {
'Content-Type': 'application/json',
'x-user-message-queue-error': errorType
},
body: JSON.stringify({
type: 'error',
error: {
type: errorType,
code: errorCode,
message: errorMessage
}
}),
success: false
}
}
if (queueResult.acquired && !queueResult.skipped) {
queueLockAcquired = true
queueRequestId = queueResult.requestId
logger.debug(
`📬 User message queue lock acquired for Bedrock account ${accountId}, requestId: ${queueRequestId}`
)
}
}
const modelId = this._selectModel(requestBody, bedrockAccount)
const region = this._selectRegion(modelId, bedrockAccount)
const client = this._getBedrockClient(region, bedrockAccount)
@@ -90,6 +152,23 @@ class BedrockRelayService {
const response = await client.send(command)
const duration = Date.now() - startTime
// 📬 请求已发送成功,立即释放队列锁(无需等待响应处理完成)
// 因为限流基于请求发送时刻计算RPM不是请求完成时刻
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
queueLockAcquired = false // 标记已释放,防止 finally 重复释放
logger.debug(
`📬 User message queue lock released early for Bedrock account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock early for Bedrock account ${accountId}:`,
releaseError.message
)
}
}
// 解析响应
const responseBody = JSON.parse(new TextDecoder().decode(response.body))
const claudeResponse = this._convertFromBedrockFormat(responseBody)
@@ -106,12 +185,94 @@ class BedrockRelayService {
} catch (error) {
logger.error('❌ Bedrock非流式请求失败:', error)
throw this._handleBedrockError(error)
} finally {
// 📬 释放用户消息队列锁(兜底,正常情况下已在请求发送后提前释放)
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
logger.debug(
`📬 User message queue lock released in finally for Bedrock account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock for Bedrock account ${accountId}:`,
releaseError.message
)
}
}
}
}
// 处理流式请求
async handleStreamRequest(requestBody, bedrockAccount = null, res) {
const accountId = bedrockAccount?.id
let queueLockAcquired = false
let queueRequestId = null
try {
// 📬 用户消息队列处理
if (userMessageQueueService.isUserMessageRequest(requestBody)) {
// 校验 accountId 非空,避免空值污染队列锁键
if (!accountId || accountId === '') {
logger.error('❌ accountId missing for queue lock in Bedrock handleStreamRequest')
throw new Error('accountId missing for queue lock')
}
const queueResult = await userMessageQueueService.acquireQueueLock(accountId)
if (!queueResult.acquired && !queueResult.skipped) {
// 区分 Redis 后端错误和队列超时
const isBackendError = queueResult.error === 'queue_backend_error'
const errorCode = isBackendError ? 'QUEUE_BACKEND_ERROR' : 'QUEUE_TIMEOUT'
const errorType = isBackendError ? 'queue_backend_error' : 'queue_timeout'
const errorMessage = isBackendError
? 'Queue service temporarily unavailable, please retry later'
: 'User message queue wait timeout, please retry later'
const statusCode = isBackendError ? 500 : 503
// 结构化性能日志,用于后续统计
logger.performance('user_message_queue_error', {
errorType,
errorCode,
accountId,
statusCode,
stream: true,
backendError: isBackendError ? queueResult.errorMessage : undefined
})
logger.warn(
`📬 User message queue ${errorType} for Bedrock account ${accountId} (stream)`,
isBackendError ? { backendError: queueResult.errorMessage } : {}
)
if (!res.headersSent) {
const existingConnection = res.getHeader ? res.getHeader('Connection') : null
res.writeHead(statusCode, {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
Connection: existingConnection || 'keep-alive',
'x-user-message-queue-error': errorType
})
}
const errorEvent = `event: error\ndata: ${JSON.stringify({
type: 'error',
error: {
type: errorType,
code: errorCode,
message: errorMessage
}
})}\n\n`
res.write(errorEvent)
res.write('data: [DONE]\n\n')
res.end()
return { success: false, error: errorType }
}
if (queueResult.acquired && !queueResult.skipped) {
queueLockAcquired = true
queueRequestId = queueResult.requestId
logger.debug(
`📬 User message queue lock acquired for Bedrock account ${accountId} (stream), requestId: ${queueRequestId}`
)
}
}
const modelId = this._selectModel(requestBody, bedrockAccount)
const region = this._selectRegion(modelId, bedrockAccount)
const client = this._getBedrockClient(region, bedrockAccount)
@@ -131,11 +292,35 @@ class BedrockRelayService {
const startTime = Date.now()
const response = await client.send(command)
// 📬 请求已发送成功,立即释放队列锁(无需等待响应处理完成)
// 因为限流基于请求发送时刻计算RPM不是请求完成时刻
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
queueLockAcquired = false // 标记已释放,防止 finally 重复释放
logger.debug(
`📬 User message queue lock released early for Bedrock stream account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock early for Bedrock stream account ${accountId}:`,
releaseError.message
)
}
}
// 设置SSE响应头
// ⚠️ 关键修复:尊重 auth.js 提前设置的 Connection: close
const existingConnection = res.getHeader ? res.getHeader('Connection') : null
if (existingConnection) {
logger.debug(
`🔌 [Bedrock Stream] Preserving existing Connection header: ${existingConnection}`
)
}
res.writeHead(200, {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
Connection: 'keep-alive',
Connection: existingConnection || 'keep-alive',
'Access-Control-Allow-Origin': '*',
'Access-Control-Allow-Headers': 'Content-Type, Authorization'
})
@@ -191,6 +376,21 @@ class BedrockRelayService {
res.end()
throw this._handleBedrockError(error)
} finally {
// 📬 释放用户消息队列锁(兜底,正常情况下已在请求发送后提前释放)
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
logger.debug(
`📬 User message queue lock released in finally for Bedrock stream account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock for Bedrock stream account ${accountId}:`,
releaseError.message
)
}
}
}
}

View File

@@ -3,6 +3,8 @@ const ccrAccountService = require('./ccrAccountService')
const logger = require('../utils/logger')
const config = require('../../config/config')
const { parseVendorPrefixedModel } = require('../utils/modelHelper')
const userMessageQueueService = require('./userMessageQueueService')
const { isStreamWritable } = require('../utils/streamHelper')
class CcrRelayService {
constructor() {
@@ -21,8 +23,67 @@ class CcrRelayService {
) {
let abortController = null
let account = null
let queueLockAcquired = false
let queueRequestId = null
try {
// 📬 用户消息队列处理
if (userMessageQueueService.isUserMessageRequest(requestBody)) {
// 校验 accountId 非空,避免空值污染队列锁键
if (!accountId || accountId === '') {
logger.error('❌ accountId missing for queue lock in CCR relayRequest')
throw new Error('accountId missing for queue lock')
}
const queueResult = await userMessageQueueService.acquireQueueLock(accountId)
if (!queueResult.acquired && !queueResult.skipped) {
// 区分 Redis 后端错误和队列超时
const isBackendError = queueResult.error === 'queue_backend_error'
const errorCode = isBackendError ? 'QUEUE_BACKEND_ERROR' : 'QUEUE_TIMEOUT'
const errorType = isBackendError ? 'queue_backend_error' : 'queue_timeout'
const errorMessage = isBackendError
? 'Queue service temporarily unavailable, please retry later'
: 'User message queue wait timeout, please retry later'
const statusCode = isBackendError ? 500 : 503
// 结构化性能日志,用于后续统计
logger.performance('user_message_queue_error', {
errorType,
errorCode,
accountId,
statusCode,
backendError: isBackendError ? queueResult.errorMessage : undefined
})
logger.warn(
`📬 User message queue ${errorType} for CCR account ${accountId}`,
isBackendError ? { backendError: queueResult.errorMessage } : {}
)
return {
statusCode,
headers: {
'Content-Type': 'application/json',
'x-user-message-queue-error': errorType
},
body: JSON.stringify({
type: 'error',
error: {
type: errorType,
code: errorCode,
message: errorMessage
}
}),
accountId
}
}
if (queueResult.acquired && !queueResult.skipped) {
queueLockAcquired = true
queueRequestId = queueResult.requestId
logger.debug(
`📬 User message queue lock acquired for CCR account ${accountId}, requestId: ${queueRequestId}`
)
}
}
// 获取账户信息
account = await ccrAccountService.getAccount(accountId)
if (!account) {
@@ -162,6 +223,23 @@ class CcrRelayService {
)
const response = await axios(requestConfig)
// 📬 请求已发送成功,立即释放队列锁(无需等待响应处理完成)
// 因为 Claude API 限流基于请求发送时刻计算RPM不是请求完成时刻
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
queueLockAcquired = false // 标记已释放,防止 finally 重复释放
logger.debug(
`📬 User message queue lock released early for CCR account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock early for CCR account ${accountId}:`,
releaseError.message
)
}
}
// 移除监听器(请求成功完成)
if (clientRequest) {
clientRequest.removeListener('close', handleClientDisconnect)
@@ -233,6 +311,21 @@ class CcrRelayService {
)
throw error
} finally {
// 📬 释放用户消息队列锁(兜底,正常情况下已在请求发送后提前释放)
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
logger.debug(
`📬 User message queue lock released in finally for CCR account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock for CCR account ${accountId}:`,
releaseError.message
)
}
}
}
}
@@ -248,7 +341,77 @@ class CcrRelayService {
options = {}
) {
let account = null
let queueLockAcquired = false
let queueRequestId = null
try {
// 📬 用户消息队列处理
if (userMessageQueueService.isUserMessageRequest(requestBody)) {
// 校验 accountId 非空,避免空值污染队列锁键
if (!accountId || accountId === '') {
logger.error(
'❌ accountId missing for queue lock in CCR relayStreamRequestWithUsageCapture'
)
throw new Error('accountId missing for queue lock')
}
const queueResult = await userMessageQueueService.acquireQueueLock(accountId)
if (!queueResult.acquired && !queueResult.skipped) {
// 区分 Redis 后端错误和队列超时
const isBackendError = queueResult.error === 'queue_backend_error'
const errorCode = isBackendError ? 'QUEUE_BACKEND_ERROR' : 'QUEUE_TIMEOUT'
const errorType = isBackendError ? 'queue_backend_error' : 'queue_timeout'
const errorMessage = isBackendError
? 'Queue service temporarily unavailable, please retry later'
: 'User message queue wait timeout, please retry later'
const statusCode = isBackendError ? 500 : 503
// 结构化性能日志用于后续<E5908E><E7BBAD>
logger.performance('user_message_queue_error', {
errorType,
errorCode,
accountId,
statusCode,
stream: true,
backendError: isBackendError ? queueResult.errorMessage : undefined
})
logger.warn(
`📬 User message queue ${errorType} for CCR account ${accountId} (stream)`,
isBackendError ? { backendError: queueResult.errorMessage } : {}
)
if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
responseStream.writeHead(statusCode, {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
Connection: existingConnection || 'keep-alive',
'x-user-message-queue-error': errorType
})
}
const errorEvent = `event: error\ndata: ${JSON.stringify({
type: 'error',
error: {
type: errorType,
code: errorCode,
message: errorMessage
}
})}\n\n`
responseStream.write(errorEvent)
responseStream.write('data: [DONE]\n\n')
responseStream.end()
return
}
if (queueResult.acquired && !queueResult.skipped) {
queueLockAcquired = true
queueRequestId = queueResult.requestId
logger.debug(
`📬 User message queue lock acquired for CCR account ${accountId} (stream), requestId: ${queueRequestId}`
)
}
}
// 获取账户信息
account = await ccrAccountService.getAccount(accountId)
if (!account) {
@@ -296,14 +459,53 @@ class CcrRelayService {
accountId,
usageCallback,
streamTransformer,
options
options,
// 📬 回调:在收到响应头时释放队列锁
async () => {
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
queueLockAcquired = false // 标记已释放,防止 finally 重复释放
logger.debug(
`📬 User message queue lock released early for CCR stream account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock early for CCR stream account ${accountId}:`,
releaseError.message
)
}
}
}
)
// 更新最后使用时间
await this._updateLastUsedTime(accountId)
} catch (error) {
logger.error(`❌ CCR stream relay failed (Account: ${account?.name || accountId}):`, error)
// 客户端主动断开连接是正常情况,使用 INFO 级别
if (error.message === 'Client disconnected') {
logger.info(
`🔌 CCR stream relay ended: Client disconnected (Account: ${account?.name || accountId})`
)
} else {
logger.error(`❌ CCR stream relay failed (Account: ${account?.name || accountId}):`, error)
}
throw error
} finally {
// 📬 释放用户消息队列锁(兜底,正常情况下已在收到响应头后提前释放)
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
logger.debug(
`📬 User message queue lock released in finally for CCR stream account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock for CCR stream account ${accountId}:`,
releaseError.message
)
}
}
}
}
@@ -317,7 +519,8 @@ class CcrRelayService {
accountId,
usageCallback,
streamTransformer = null,
requestOptions = {}
requestOptions = {},
onResponseHeaderReceived = null
) {
return new Promise((resolve, reject) => {
let aborted = false
@@ -380,8 +583,11 @@ class CcrRelayService {
// 发送请求
const request = axios(requestConfig)
// 注意:使用 .then(async ...) 模式处理响应
// - 内部的 releaseQueueLock 有独立的 try-catch不会导致未捕获异常
// - queueLockAcquired = false 的赋值会在 finally 执行前完成JS 单线程保证)
request
.then((response) => {
.then(async (response) => {
logger.debug(`🌊 CCR stream response status: ${response.status}`)
// 错误响应处理
@@ -404,10 +610,13 @@ class CcrRelayService {
// 设置错误响应的状态码和响应头
if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
const errorHeaders = {
'Content-Type': response.headers['content-type'] || 'application/json',
'Cache-Control': 'no-cache',
Connection: 'keep-alive'
Connection: existingConnection || 'keep-alive'
}
// 避免 Transfer-Encoding 冲突,让 Express 自动处理
delete errorHeaders['Transfer-Encoding']
@@ -417,13 +626,13 @@ class CcrRelayService {
// 直接透传错误数据,不进行包装
response.data.on('data', (chunk) => {
if (!responseStream.destroyed) {
if (isStreamWritable(responseStream)) {
responseStream.write(chunk)
}
})
response.data.on('end', () => {
if (!responseStream.destroyed) {
if (isStreamWritable(responseStream)) {
responseStream.end()
}
resolve() // 不抛出异常,正常完成流处理
@@ -431,6 +640,19 @@ class CcrRelayService {
return
}
// 📬 收到成功响应头HTTP 200调用回调释放队列锁
// 此时请求已被 Claude API 接受并计入 RPM 配额,无需等待响应完成
if (onResponseHeaderReceived && typeof onResponseHeaderReceived === 'function') {
try {
await onResponseHeaderReceived()
} catch (callbackError) {
logger.error(
`❌ Failed to execute onResponseHeaderReceived callback for CCR stream account ${accountId}:`,
callbackError.message
)
}
}
// 成功响应,检查并移除错误状态
ccrAccountService.isAccountRateLimited(accountId).then((isRateLimited) => {
if (isRateLimited) {
@@ -444,11 +666,20 @@ class CcrRelayService {
})
// 设置响应头
// ⚠️ 关键修复:尊重 auth.js 提前设置的 Connection: close
if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
if (existingConnection) {
logger.debug(
`🔌 [CCR Stream] Preserving existing Connection header: ${existingConnection}`
)
}
const headers = {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
Connection: 'keep-alive',
Connection: existingConnection || 'keep-alive',
'Access-Control-Allow-Origin': '*',
'Access-Control-Allow-Headers': 'Cache-Control'
}
@@ -487,12 +718,17 @@ class CcrRelayService {
}
// 写入到响应流
if (outputLine && !responseStream.destroyed) {
if (outputLine && isStreamWritable(responseStream)) {
responseStream.write(`${outputLine}\n`)
} else if (outputLine) {
// 客户端连接已断开,记录警告
logger.warn(
`⚠️ [CCR] Client disconnected during stream, skipping data for account: ${accountId}`
)
}
} else {
// 空行也需要传递
if (!responseStream.destroyed) {
if (isStreamWritable(responseStream)) {
responseStream.write('\n')
}
}
@@ -503,10 +739,6 @@ class CcrRelayService {
})
response.data.on('end', () => {
if (!responseStream.destroyed) {
responseStream.end()
}
// 如果收集到使用统计数据,调用回调
if (usageCallback && Object.keys(collectedUsage).length > 0) {
try {
@@ -518,12 +750,26 @@ class CcrRelayService {
}
}
resolve()
if (isStreamWritable(responseStream)) {
// 等待数据完全 flush 到客户端后再 resolve
responseStream.end(() => {
logger.debug(
`🌊 CCR stream response completed and flushed | bytesWritten: ${responseStream.bytesWritten || 'unknown'}`
)
resolve()
})
} else {
// 连接已断开,记录警告
logger.warn(
`⚠️ [CCR] Client disconnected before stream end, data may not have been received | account: ${accountId}`
)
resolve()
}
})
response.data.on('error', (err) => {
logger.error('❌ Stream data error:', err)
if (!responseStream.destroyed) {
if (isStreamWritable(responseStream)) {
responseStream.end()
}
reject(err)
@@ -555,7 +801,7 @@ class CcrRelayService {
}
}
if (!responseStream.destroyed) {
if (isStreamWritable(responseStream)) {
responseStream.write(`data: ${JSON.stringify(errorResponse)}\n\n`)
responseStream.end()
}

View File

@@ -91,7 +91,8 @@ class ClaudeAccountService {
useUnifiedClientId = false, // 是否使用统一的客户端标识
unifiedClientId = '', // 统一的客户端标识
expiresAt = null, // 账户订阅到期时间
extInfo = null // 额外扩展信息
extInfo = null, // 额外扩展信息
maxConcurrency = 0 // 账户级用户消息串行队列0=使用全局配置,>0=强制启用串行
} = options
const accountId = uuidv4()
@@ -136,7 +137,9 @@ class ClaudeAccountService {
// 账户订阅到期时间
subscriptionExpiresAt: expiresAt || '',
// 扩展信息
extInfo: normalizedExtInfo ? JSON.stringify(normalizedExtInfo) : ''
extInfo: normalizedExtInfo ? JSON.stringify(normalizedExtInfo) : '',
// 账户级用户消息串行队列限制
maxConcurrency: maxConcurrency.toString()
}
} else {
// 兼容旧格式
@@ -168,7 +171,9 @@ class ClaudeAccountService {
// 账户订阅到期时间
subscriptionExpiresAt: expiresAt || '',
// 扩展信息
extInfo: normalizedExtInfo ? JSON.stringify(normalizedExtInfo) : ''
extInfo: normalizedExtInfo ? JSON.stringify(normalizedExtInfo) : '',
// 账户级用户消息串行队列限制
maxConcurrency: maxConcurrency.toString()
}
}
@@ -574,7 +579,9 @@ class ClaudeAccountService {
// 添加停止原因
stoppedReason: account.stoppedReason || null,
// 扩展信息
extInfo: parsedExtInfo
extInfo: parsedExtInfo,
// 账户级用户消息串行队列限制
maxConcurrency: parseInt(account.maxConcurrency || '0', 10)
}
})
)
@@ -666,7 +673,8 @@ class ClaudeAccountService {
'useUnifiedClientId',
'unifiedClientId',
'subscriptionExpiresAt',
'extInfo'
'extInfo',
'maxConcurrency'
]
const updatedData = { ...accountData }
let shouldClearAutoStopFields = false
@@ -681,7 +689,7 @@ class ClaudeAccountService {
updatedData[field] = this._encryptSensitiveData(value)
} else if (field === 'proxy') {
updatedData[field] = value ? JSON.stringify(value) : ''
} else if (field === 'priority') {
} else if (field === 'priority' || field === 'maxConcurrency') {
updatedData[field] = value.toString()
} else if (field === 'subscriptionInfo') {
// 处理订阅信息更新

View File

@@ -9,6 +9,9 @@ const {
sanitizeErrorMessage,
isAccountDisabledError
} = require('../utils/errorSanitizer')
const userMessageQueueService = require('./userMessageQueueService')
const { isStreamWritable } = require('../utils/streamHelper')
const { filterForClaude } = require('../utils/headerFilter')
class ClaudeConsoleRelayService {
constructor() {
@@ -29,8 +32,68 @@ class ClaudeConsoleRelayService {
let account = null
const requestId = uuidv4() // 用于并发追踪
let concurrencyAcquired = false
let queueLockAcquired = false
let queueRequestId = null
try {
// 📬 用户消息队列处理:如果是用户消息请求,需要获取队列锁
if (userMessageQueueService.isUserMessageRequest(requestBody)) {
// 校验 accountId 非空,避免空值污染队列锁键
if (!accountId || accountId === '') {
logger.error('❌ accountId missing for queue lock in console relayRequest')
throw new Error('accountId missing for queue lock')
}
const queueResult = await userMessageQueueService.acquireQueueLock(accountId)
if (!queueResult.acquired && !queueResult.skipped) {
// 区分 Redis 后端错误和队列超时
const isBackendError = queueResult.error === 'queue_backend_error'
const errorCode = isBackendError ? 'QUEUE_BACKEND_ERROR' : 'QUEUE_TIMEOUT'
const errorType = isBackendError ? 'queue_backend_error' : 'queue_timeout'
const errorMessage = isBackendError
? 'Queue service temporarily unavailable, please retry later'
: 'User message queue wait timeout, please retry later'
const statusCode = isBackendError ? 500 : 503
// 结构化性能日志,用于后续统计
logger.performance('user_message_queue_error', {
errorType,
errorCode,
accountId,
statusCode,
apiKeyName: apiKeyData.name,
backendError: isBackendError ? queueResult.errorMessage : undefined
})
logger.warn(
`📬 User message queue ${errorType} for console account ${accountId}, key: ${apiKeyData.name}`,
isBackendError ? { backendError: queueResult.errorMessage } : {}
)
return {
statusCode,
headers: {
'Content-Type': 'application/json',
'x-user-message-queue-error': errorType
},
body: JSON.stringify({
type: 'error',
error: {
type: errorType,
code: errorCode,
message: errorMessage
}
}),
accountId
}
}
if (queueResult.acquired && !queueResult.skipped) {
queueLockAcquired = true
queueRequestId = queueResult.requestId
logger.debug(
`📬 User message queue lock acquired for console account ${accountId}, requestId: ${queueRequestId}`
)
}
}
// 获取账户信息
account = await claudeConsoleAccountService.getAccount(accountId)
if (!account) {
@@ -203,6 +266,23 @@ class ClaudeConsoleRelayService {
)
const response = await axios(requestConfig)
// 📬 请求已发送成功,立即释放队列锁(无需等待响应处理完成)
// 因为 Claude API 限流基于请求发送时刻计算RPM不是请求完成时刻
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
queueLockAcquired = false // 标记已释放,防止 finally 重复释放
logger.debug(
`📬 User message queue lock released early for console account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock early for console account ${accountId}:`,
releaseError.message
)
}
}
// 移除监听器(请求成功完成)
if (clientRequest) {
clientRequest.removeListener('close', handleClientDisconnect)
@@ -366,6 +446,21 @@ class ClaudeConsoleRelayService {
)
}
}
// 📬 释放用户消息队列锁(兜底,正常情况下已在请求发送后提前释放)
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
logger.debug(
`📬 User message queue lock released in finally for console account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock for account ${accountId}:`,
releaseError.message
)
}
}
}
}
@@ -384,8 +479,71 @@ class ClaudeConsoleRelayService {
const requestId = uuidv4() // 用于并发追踪
let concurrencyAcquired = false
let leaseRefreshInterval = null // 租约刷新定时器
let queueLockAcquired = false
let queueRequestId = null
try {
// 📬 用户消息队列处理:如果是用户消息请求,需要获取队列锁
if (userMessageQueueService.isUserMessageRequest(requestBody)) {
// 校验 accountId 非空,避免空值污染队列锁键
if (!accountId || accountId === '') {
logger.error(
'❌ accountId missing for queue lock in console relayStreamRequestWithUsageCapture'
)
throw new Error('accountId missing for queue lock')
}
const queueResult = await userMessageQueueService.acquireQueueLock(accountId)
if (!queueResult.acquired && !queueResult.skipped) {
// 区分 Redis 后端错误和队列超时
const isBackendError = queueResult.error === 'queue_backend_error'
const errorCode = isBackendError ? 'QUEUE_BACKEND_ERROR' : 'QUEUE_TIMEOUT'
const errorType = isBackendError ? 'queue_backend_error' : 'queue_timeout'
const errorMessage = isBackendError
? 'Queue service temporarily unavailable, please retry later'
: 'User message queue wait timeout, please retry later'
const statusCode = isBackendError ? 500 : 503
// 结构化性能日志,用于后续统计
logger.performance('user_message_queue_error', {
errorType,
errorCode,
accountId,
statusCode,
stream: true,
apiKeyName: apiKeyData.name,
backendError: isBackendError ? queueResult.errorMessage : undefined
})
logger.warn(
`📬 User message queue ${errorType} for console account ${accountId} (stream), key: ${apiKeyData.name}`,
isBackendError ? { backendError: queueResult.errorMessage } : {}
)
if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
responseStream.writeHead(statusCode, {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
Connection: existingConnection || 'keep-alive',
'x-user-message-queue-error': errorType
})
}
const errorEvent = `event: error\ndata: ${JSON.stringify({ type: 'error', error: { type: errorType, code: errorCode, message: errorMessage } })}\n\n`
responseStream.write(errorEvent)
responseStream.write('data: [DONE]\n\n')
responseStream.end()
return
}
if (queueResult.acquired && !queueResult.skipped) {
queueLockAcquired = true
queueRequestId = queueResult.requestId
logger.debug(
`📬 User message queue lock acquired for console account ${accountId} (stream), requestId: ${queueRequestId}`
)
}
}
// 获取账户信息
account = await claudeConsoleAccountService.getAccount(accountId)
if (!account) {
@@ -483,16 +641,40 @@ class ClaudeConsoleRelayService {
accountId,
usageCallback,
streamTransformer,
options
options,
// 📬 回调:在收到响应头时释放队列锁
async () => {
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
queueLockAcquired = false // 标记已释放,防止 finally 重复释放
logger.debug(
`📬 User message queue lock released early for console stream account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock early for console stream account ${accountId}:`,
releaseError.message
)
}
}
}
)
// 更新最后使用时间
await this._updateLastUsedTime(accountId)
} catch (error) {
logger.error(
`❌ Claude Console stream relay failed (Account: ${account?.name || accountId}):`,
error
)
// 客户端主动断开连接是正常情况,使用 INFO 级别
if (error.message === 'Client disconnected') {
logger.info(
`🔌 Claude Console stream relay ended: Client disconnected (Account: ${account?.name || accountId})`
)
} else {
logger.error(
`❌ Claude Console stream relay failed (Account: ${account?.name || accountId}):`,
error
)
}
throw error
} finally {
// 🛑 清理租约刷新定时器
@@ -517,6 +699,21 @@ class ClaudeConsoleRelayService {
)
}
}
// 📬 释放用户消息队列锁(兜底,正常情况下已在收到响应头后提前释放)
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
logger.debug(
`📬 User message queue lock released in finally for console stream account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock for stream account ${accountId}:`,
releaseError.message
)
}
}
}
}
@@ -530,7 +727,8 @@ class ClaudeConsoleRelayService {
accountId,
usageCallback,
streamTransformer = null,
requestOptions = {}
requestOptions = {},
onResponseHeaderReceived = null
) {
return new Promise((resolve, reject) => {
let aborted = false
@@ -593,8 +791,11 @@ class ClaudeConsoleRelayService {
// 发送请求
const request = axios(requestConfig)
// 注意:使用 .then(async ...) 模式处理响应
// - 内部的 releaseQueueLock 有独立的 try-catch不会导致未捕获异常
// - queueLockAcquired = false 的赋值会在 finally 执行前完成JS 单线程保证)
request
.then((response) => {
.then(async (response) => {
logger.debug(`🌊 Claude Console Claude stream response status: ${response.status}`)
// 错误响应处理
@@ -682,7 +883,7 @@ class ClaudeConsoleRelayService {
`🧹 [Stream] [SANITIZED] Error response to client: ${JSON.stringify(sanitizedError)}`
)
if (!responseStream.destroyed) {
if (isStreamWritable(responseStream)) {
responseStream.write(JSON.stringify(sanitizedError))
responseStream.end()
}
@@ -690,7 +891,7 @@ class ClaudeConsoleRelayService {
const sanitizedText = sanitizeErrorMessage(errorDataForCheck)
logger.error(`🧹 [Stream] [SANITIZED] Error response to client: ${sanitizedText}`)
if (!responseStream.destroyed) {
if (isStreamWritable(responseStream)) {
responseStream.write(sanitizedText)
responseStream.end()
}
@@ -701,6 +902,19 @@ class ClaudeConsoleRelayService {
return
}
// 📬 收到成功响应头HTTP 200调用回调释放队列锁
// 此时请求已被 Claude API 接受并计入 RPM 配额,无需等待响应完成
if (onResponseHeaderReceived && typeof onResponseHeaderReceived === 'function') {
try {
await onResponseHeaderReceived()
} catch (callbackError) {
logger.error(
`❌ Failed to execute onResponseHeaderReceived callback for console stream account ${accountId}:`,
callbackError.message
)
}
}
// 成功响应,检查并移除错误状态
claudeConsoleAccountService.isAccountRateLimited(accountId).then((isRateLimited) => {
if (isRateLimited) {
@@ -714,11 +928,22 @@ class ClaudeConsoleRelayService {
})
// 设置响应头
// ⚠️ 关键修复:尊重 auth.js 提前设置的 Connection: close
// 当并发队列功能启用时auth.js 会设置 Connection: close 来禁用 Keep-Alive
if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
const connectionHeader = existingConnection || 'keep-alive'
if (existingConnection) {
logger.debug(
`🔌 [Console Stream] Preserving existing Connection header: ${existingConnection}`
)
}
responseStream.writeHead(200, {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
Connection: 'keep-alive',
Connection: connectionHeader,
'X-Accel-Buffering': 'no'
})
}
@@ -744,20 +969,33 @@ class ClaudeConsoleRelayService {
buffer = lines.pop() || ''
// 转发数据并解析usage
if (lines.length > 0 && !responseStream.destroyed) {
const linesToForward = lines.join('\n') + (lines.length > 0 ? '\n' : '')
if (lines.length > 0) {
// 检查流是否可写(客户端连接是否有效)
if (isStreamWritable(responseStream)) {
const linesToForward = lines.join('\n') + (lines.length > 0 ? '\n' : '')
// 应用流转换器如果有
if (streamTransformer) {
const transformed = streamTransformer(linesToForward)
if (transformed) {
responseStream.write(transformed)
// 应用流转换器如果有
let dataToWrite = linesToForward
if (streamTransformer) {
const transformed = streamTransformer(linesToForward)
if (transformed) {
dataToWrite = transformed
} else {
dataToWrite = null
}
}
if (dataToWrite) {
responseStream.write(dataToWrite)
}
} else {
responseStream.write(linesToForward)
// 客户端连接已断开记录警告但仍继续解析usage
logger.warn(
`⚠️ [Console] Client disconnected during stream, skipping ${lines.length} lines for account: ${account?.name || accountId}`
)
}
// 解析SSE数据寻找usage信息
// 解析SSE数据寻找usage信息(无论连接状态如何)
for (const line of lines) {
if (line.startsWith('data:')) {
const jsonStr = line.slice(5).trimStart()
@@ -865,7 +1103,7 @@ class ClaudeConsoleRelayService {
`❌ Error processing Claude Console stream data (Account: ${account?.name || accountId}):`,
error
)
if (!responseStream.destroyed) {
if (isStreamWritable(responseStream)) {
// 如果有 streamTransformer如测试请求使用前端期望的格式
if (streamTransformer) {
responseStream.write(
@@ -888,7 +1126,7 @@ class ClaudeConsoleRelayService {
response.data.on('end', () => {
try {
// 处理缓冲区中剩余的数据
if (buffer.trim() && !responseStream.destroyed) {
if (buffer.trim() && isStreamWritable(responseStream)) {
if (streamTransformer) {
const transformed = streamTransformer(buffer)
if (transformed) {
@@ -937,12 +1175,33 @@ class ClaudeConsoleRelayService {
}
// 确保流正确结束
if (!responseStream.destroyed) {
responseStream.end()
}
if (isStreamWritable(responseStream)) {
// 📊 诊断日志:流结束前状态
logger.info(
`📤 [STREAM] Ending response | destroyed: ${responseStream.destroyed}, ` +
`socketDestroyed: ${responseStream.socket?.destroyed}, ` +
`socketBytesWritten: ${responseStream.socket?.bytesWritten || 0}`
)
logger.debug('🌊 Claude Console Claude stream response completed')
resolve()
// 禁用 Nagle 算法确保数据立即发送
if (responseStream.socket && !responseStream.socket.destroyed) {
responseStream.socket.setNoDelay(true)
}
// 等待数据完全 flush 到客户端后再 resolve
responseStream.end(() => {
logger.info(
`✅ [STREAM] Response ended and flushed | socketBytesWritten: ${responseStream.socket?.bytesWritten || 'unknown'}`
)
resolve()
})
} else {
// 连接已断开,记录警告
logger.warn(
`⚠️ [Console] Client disconnected before stream end, data may not have been received | account: ${account?.name || accountId}`
)
resolve()
}
} catch (error) {
logger.error('❌ Error processing stream end:', error)
reject(error)
@@ -954,7 +1213,7 @@ class ClaudeConsoleRelayService {
`❌ Claude Console stream error (Account: ${account?.name || accountId}):`,
error
)
if (!responseStream.destroyed) {
if (isStreamWritable(responseStream)) {
// 如果有 streamTransformer如测试请求使用前端期望的格式
if (streamTransformer) {
responseStream.write(
@@ -1002,14 +1261,17 @@ class ClaudeConsoleRelayService {
// 发送错误响应
if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
responseStream.writeHead(error.response?.status || 500, {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
Connection: 'keep-alive'
Connection: existingConnection || 'keep-alive'
})
}
if (!responseStream.destroyed) {
if (isStreamWritable(responseStream)) {
// 如果有 streamTransformer如测试请求使用前端期望的格式
if (streamTransformer) {
responseStream.write(
@@ -1041,30 +1303,9 @@ class ClaudeConsoleRelayService {
// 🔧 过滤客户端请求头
_filterClientHeaders(clientHeaders) {
const sensitiveHeaders = [
'content-type',
'user-agent',
'authorization',
'x-api-key',
'host',
'content-length',
'connection',
'proxy-authorization',
'content-encoding',
'transfer-encoding',
'anthropic-version'
]
const filteredHeaders = {}
Object.keys(clientHeaders || {}).forEach((key) => {
const lowerKey = key.toLowerCase()
if (!sensitiveHeaders.includes(lowerKey)) {
filteredHeaders[key] = clientHeaders[key]
}
})
return filteredHeaders
// 使用统一的 headerFilter 工具类(白名单模式)
// 与 claudeRelayService 保持一致,避免透传 CDN headers 触发上游 API 安全检查
return filterForClaude(clientHeaders)
}
// 🕐 更新最后使用时间
@@ -1179,7 +1420,7 @@ class ClaudeConsoleRelayService {
'Cache-Control': 'no-cache'
})
}
if (!responseStream.destroyed && !responseStream.writableEnded) {
if (isStreamWritable(responseStream)) {
responseStream.write(
`data: ${JSON.stringify({ type: 'test_complete', success: false, error: error.message })}\n\n`
)

View File

@@ -15,6 +15,20 @@ const DEFAULT_CONFIG = {
globalSessionBindingEnabled: false,
sessionBindingErrorMessage: '你的本地session已污染请清理后使用。',
sessionBindingTtlDays: 30, // 会话绑定 TTL默认30天
// 用户消息队列配置
userMessageQueueEnabled: false, // 是否启用用户消息队列(默认关闭)
userMessageQueueDelayMs: 200, // 请求间隔(毫秒)
userMessageQueueTimeoutMs: 5000, // 队列等待超时(毫秒),优化后锁持有时间短无需长等待
userMessageQueueLockTtlMs: 5000, // 锁TTL毫秒请求发送后立即释放无需长TTL
// 并发请求排队配置
concurrentRequestQueueEnabled: false, // 是否启用并发请求排队(默认关闭)
concurrentRequestQueueMaxSize: 3, // 固定最小排队数默认3
concurrentRequestQueueMaxSizeMultiplier: 0, // 并发数的倍数默认0仅使用固定值
concurrentRequestQueueTimeoutMs: 10000, // 排队超时毫秒默认10秒
concurrentRequestQueueMaxRedisFailCount: 5, // 连续 Redis 失败阈值默认5次
// 排队健康检查配置
concurrentRequestQueueHealthCheckEnabled: true, // 是否启用排队健康检查(默认开启)
concurrentRequestQueueHealthThreshold: 0.8, // 健康检查阈值P90 >= 超时 × 阈值时拒绝新请求)
updatedAt: null,
updatedBy: null
}
@@ -100,7 +114,8 @@ class ClaudeRelayConfigService {
logger.info(`✅ Claude relay config updated by ${updatedBy}:`, {
claudeCodeOnlyEnabled: updatedConfig.claudeCodeOnlyEnabled,
globalSessionBindingEnabled: updatedConfig.globalSessionBindingEnabled
globalSessionBindingEnabled: updatedConfig.globalSessionBindingEnabled,
concurrentRequestQueueEnabled: updatedConfig.concurrentRequestQueueEnabled
})
return updatedConfig
@@ -283,12 +298,13 @@ class ClaudeRelayConfigService {
const account = await accountService.getAccount(accountId)
if (!account || !account.success || !account.data) {
// getAccount() 直接返回账户数据对象或 null不是 { success, data } 格式
if (!account) {
logger.warn(`Session binding account not found: ${accountId} (${accountType})`)
return false
}
const accountData = account.data
const accountData = account
// 检查账户是否激活
if (accountData.isActive === false || accountData.isActive === 'false') {
@@ -315,11 +331,11 @@ class ClaudeRelayConfigService {
/**
* 验证新会话请求
* @param {Object} requestBody - 请求体
* @param {Object} _requestBody - 请求体(预留参数,当前未使用)
* @param {string} originalSessionId - 原始会话ID
* @returns {Promise<Object>} { valid: boolean, error?: string, binding?: object, isNewSession?: boolean }
*/
async validateNewSession(requestBody, originalSessionId) {
async validateNewSession(_requestBody, originalSessionId) {
const cfg = await this.getConfig()
if (!cfg.globalSessionBindingEnabled) {

View File

@@ -15,6 +15,8 @@ const ClaudeCodeValidator = require('../validators/clients/claudeCodeValidator')
const { formatDateWithTimezone } = require('../utils/dateHelper')
const requestIdentityService = require('./requestIdentityService')
const { createClaudeTestPayload } = require('../utils/testPayloadHelper')
const userMessageQueueService = require('./userMessageQueueService')
const { isStreamWritable } = require('../utils/streamHelper')
class ClaudeRelayService {
constructor() {
@@ -148,6 +150,9 @@ class ClaudeRelayService {
options = {}
) {
let upstreamRequest = null
let queueLockAcquired = false
let queueRequestId = null
let selectedAccountId = null
try {
// 调试日志查看API Key数据
@@ -192,11 +197,80 @@ class ClaudeRelayService {
}
const { accountId } = accountSelection
const { accountType } = accountSelection
selectedAccountId = accountId
logger.info(
`📤 Processing API request for key: ${apiKeyData.name || apiKeyData.id}, account: ${accountId} (${accountType})${sessionHash ? `, session: ${sessionHash}` : ''}`
)
// 📬 用户消息队列处理:如果是用户消息请求,需要获取队列锁
if (userMessageQueueService.isUserMessageRequest(requestBody)) {
// 校验 accountId 非空,避免空值污染队列锁键
if (!accountId || accountId === '') {
logger.error('❌ accountId missing for queue lock in relayRequest')
throw new Error('accountId missing for queue lock')
}
// 获取账户信息以检查账户级串行队列配置
const accountForQueue = await claudeAccountService.getAccount(accountId)
const accountConfig = accountForQueue
? { maxConcurrency: parseInt(accountForQueue.maxConcurrency || '0', 10) }
: null
const queueResult = await userMessageQueueService.acquireQueueLock(
accountId,
null,
null,
accountConfig
)
if (!queueResult.acquired && !queueResult.skipped) {
// 区分 Redis 后端错误和队列超时
const isBackendError = queueResult.error === 'queue_backend_error'
const errorCode = isBackendError ? 'QUEUE_BACKEND_ERROR' : 'QUEUE_TIMEOUT'
const errorType = isBackendError ? 'queue_backend_error' : 'queue_timeout'
const errorMessage = isBackendError
? 'Queue service temporarily unavailable, please retry later'
: 'User message queue wait timeout, please retry later'
const statusCode = isBackendError ? 500 : 503
// 结构化性能日志,用于后续统计
logger.performance('user_message_queue_error', {
errorType,
errorCode,
accountId,
statusCode,
apiKeyName: apiKeyData.name,
backendError: isBackendError ? queueResult.errorMessage : undefined
})
logger.warn(
`📬 User message queue ${errorType} for account ${accountId}, key: ${apiKeyData.name}`,
isBackendError ? { backendError: queueResult.errorMessage } : {}
)
return {
statusCode,
headers: {
'Content-Type': 'application/json',
'x-user-message-queue-error': errorType
},
body: JSON.stringify({
type: 'error',
error: {
type: errorType,
code: errorCode,
message: errorMessage
}
}),
accountId
}
}
if (queueResult.acquired && !queueResult.skipped) {
queueLockAcquired = true
queueRequestId = queueResult.requestId
logger.debug(
`📬 User message queue lock acquired for account ${accountId}, requestId: ${queueRequestId}`
)
}
}
// 获取账户信息
let account = await claudeAccountService.getAccount(accountId)
@@ -271,6 +345,23 @@ class ClaudeRelayService {
options
)
// 📬 请求已发送成功,立即释放队列锁(无需等待响应处理完成)
// 因为 Claude API 限流基于请求发送时刻计算RPM不是请求完成时刻
if (queueLockAcquired && queueRequestId && selectedAccountId) {
try {
await userMessageQueueService.releaseQueueLock(selectedAccountId, queueRequestId)
queueLockAcquired = false // 标记已释放,防止 finally 重复释放
logger.debug(
`📬 User message queue lock released early for account ${selectedAccountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock early for account ${selectedAccountId}:`,
releaseError.message
)
}
}
response.accountId = accountId
response.accountType = accountType
@@ -539,6 +630,21 @@ class ClaudeRelayService {
error.message
)
throw error
} finally {
// 📬 释放用户消息队列锁(兜底,正常情况下已在请求发送后提前释放)
if (queueLockAcquired && queueRequestId && selectedAccountId) {
try {
await userMessageQueueService.releaseQueueLock(selectedAccountId, queueRequestId)
logger.debug(
`📬 User message queue lock released in finally for account ${selectedAccountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock for account ${selectedAccountId}:`,
releaseError.message
)
}
}
}
}
@@ -962,6 +1068,8 @@ class ClaudeRelayService {
logger.info(`🔗 指纹是这个: ${headers['User-Agent']}`)
logger.info(`🔗 指纹是这个: ${headers['User-Agent']}`)
// 根据模型和客户端传递的 anthropic-beta 动态设置 header
const modelId = requestPayload?.model || body?.model
const clientBetaHeader = clientHeaders?.['anthropic-beta']
@@ -1057,8 +1165,6 @@ class ClaudeRelayService {
timeout: config.requestTimeout || 600000
}
console.log(options.path)
const req = https.request(options, (res) => {
let responseData = Buffer.alloc(0)
@@ -1112,7 +1218,6 @@ class ClaudeRelayService {
}
req.on('error', async (error) => {
console.error(': ❌ ', error)
logger.error(`❌ Claude API request error (Account: ${accountId}):`, error.message, {
code: error.code,
errno: error.errno,
@@ -1163,6 +1268,10 @@ class ClaudeRelayService {
streamTransformer = null,
options = {}
) {
let queueLockAcquired = false
let queueRequestId = null
let selectedAccountId = null
try {
// 调试日志查看API Key数据流式请求
logger.info('🔍 [Stream] API Key data received:', {
@@ -1206,6 +1315,83 @@ class ClaudeRelayService {
}
const { accountId } = accountSelection
const { accountType } = accountSelection
selectedAccountId = accountId
// 📬 用户消息队列处理:如果是用户消息请求,需要获取队列锁
if (userMessageQueueService.isUserMessageRequest(requestBody)) {
// 校验 accountId 非空,避免空值污染队列锁键
if (!accountId || accountId === '') {
logger.error('❌ accountId missing for queue lock in relayStreamRequestWithUsageCapture')
throw new Error('accountId missing for queue lock')
}
// 获取账户信息以检查账户级串行队列配置
const accountForQueue = await claudeAccountService.getAccount(accountId)
const accountConfig = accountForQueue
? { maxConcurrency: parseInt(accountForQueue.maxConcurrency || '0', 10) }
: null
const queueResult = await userMessageQueueService.acquireQueueLock(
accountId,
null,
null,
accountConfig
)
if (!queueResult.acquired && !queueResult.skipped) {
// 区分 Redis 后端错误和队列超时
const isBackendError = queueResult.error === 'queue_backend_error'
const errorCode = isBackendError ? 'QUEUE_BACKEND_ERROR' : 'QUEUE_TIMEOUT'
const errorType = isBackendError ? 'queue_backend_error' : 'queue_timeout'
const errorMessage = isBackendError
? 'Queue service temporarily unavailable, please retry later'
: 'User message queue wait timeout, please retry later'
const statusCode = isBackendError ? 500 : 503
// 结构化性能日志,用于后续统计
logger.performance('user_message_queue_error', {
errorType,
errorCode,
accountId,
statusCode,
stream: true,
apiKeyName: apiKeyData.name,
backendError: isBackendError ? queueResult.errorMessage : undefined
})
logger.warn(
`📬 User message queue ${errorType} for account ${accountId} (stream), key: ${apiKeyData.name}`,
isBackendError ? { backendError: queueResult.errorMessage } : {}
)
if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
responseStream.writeHead(statusCode, {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
Connection: existingConnection || 'keep-alive',
'x-user-message-queue-error': errorType
})
}
const errorEvent = `event: error\ndata: ${JSON.stringify({
type: 'error',
error: {
type: errorType,
code: errorCode,
message: errorMessage
}
})}\n\n`
responseStream.write(errorEvent)
responseStream.write('data: [DONE]\n\n')
responseStream.end()
return
}
if (queueResult.acquired && !queueResult.skipped) {
queueLockAcquired = true
queueRequestId = queueResult.requestId
logger.debug(
`📬 User message queue lock acquired for account ${accountId} (stream), requestId: ${queueRequestId}`
)
}
}
logger.info(
`📡 Processing streaming API request with usage capture for key: ${apiKeyData.name || apiKeyData.id}, account: ${accountId} (${accountType})${sessionHash ? `, session: ${sessionHash}` : ''}`
@@ -1272,11 +1458,48 @@ class ClaudeRelayService {
sessionHash,
streamTransformer,
options,
isDedicatedOfficialAccount
isDedicatedOfficialAccount,
// 📬 新增回调:在收到响应头时释放队列锁
async () => {
if (queueLockAcquired && queueRequestId && selectedAccountId) {
try {
await userMessageQueueService.releaseQueueLock(selectedAccountId, queueRequestId)
queueLockAcquired = false // 标记已释放,防止 finally 重复释放
logger.debug(
`📬 User message queue lock released early for stream account ${selectedAccountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock early for stream account ${selectedAccountId}:`,
releaseError.message
)
}
}
}
)
} catch (error) {
logger.error(`❌ Claude stream relay with usage capture failed:`, error)
// 客户端主动断开连接是正常情况,使用 INFO 级别
if (error.message === 'Client disconnected') {
logger.info(`🔌 Claude stream relay ended: Client disconnected`)
} else {
logger.error(`❌ Claude stream relay with usage capture failed:`, error)
}
throw error
} finally {
// 📬 释放用户消息队列锁(兜底,正常情况下已在收到响应头后提前释放)
if (queueLockAcquired && queueRequestId && selectedAccountId) {
try {
await userMessageQueueService.releaseQueueLock(selectedAccountId, queueRequestId)
logger.debug(
`📬 User message queue lock released in finally for stream account ${selectedAccountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock for stream account ${selectedAccountId}:`,
releaseError.message
)
}
}
}
}
@@ -1293,7 +1516,8 @@ class ClaudeRelayService {
sessionHash,
streamTransformer = null,
requestOptions = {},
isDedicatedOfficialAccount = false
isDedicatedOfficialAccount = false,
onResponseStart = null // 📬 新增:收到响应头时的回调,用于提前释放队列锁
) {
// 获取账户信息用于统一 User-Agent
const account = await claudeAccountService.getAccount(accountId)
@@ -1478,7 +1702,6 @@ class ClaudeRelayService {
})
res.on('end', () => {
console.error(': ❌ ', errorData)
logger.error(
`❌ Claude API error response (Account: ${account?.name || accountId}):`,
errorData
@@ -1502,7 +1725,7 @@ class ClaudeRelayService {
}
})()
}
if (!responseStream.destroyed) {
if (isStreamWritable(responseStream)) {
// 解析 Claude API 返回的错误详情
let errorMessage = `Claude API error: ${res.statusCode}`
try {
@@ -1540,6 +1763,16 @@ class ClaudeRelayService {
return
}
// 📬 收到成功响应头HTTP 200立即调用回调释放队列锁
// 此时请求已被 Claude API 接受并计入 RPM 配额,无需等待响应完成
if (onResponseStart && typeof onResponseStart === 'function') {
try {
await onResponseStart()
} catch (callbackError) {
logger.error('❌ Error in onResponseStart callback:', callbackError.message)
}
}
let buffer = ''
const allUsageData = [] // 收集所有的usage事件
let currentUsageData = {} // 当前正在收集的usage数据
@@ -1557,16 +1790,23 @@ class ClaudeRelayService {
buffer = lines.pop() || '' // 保留最后的不完整行
// 转发已处理的完整行到客户端
if (lines.length > 0 && !responseStream.destroyed) {
const linesToForward = lines.join('\n') + (lines.length > 0 ? '\n' : '')
// 如果有流转换器,应用转换
if (streamTransformer) {
const transformed = streamTransformer(linesToForward)
if (transformed) {
responseStream.write(transformed)
if (lines.length > 0) {
if (isStreamWritable(responseStream)) {
const linesToForward = lines.join('\n') + (lines.length > 0 ? '\n' : '')
// 如果有流转换器,应用转换
if (streamTransformer) {
const transformed = streamTransformer(linesToForward)
if (transformed) {
responseStream.write(transformed)
}
} else {
responseStream.write(linesToForward)
}
} else {
responseStream.write(linesToForward)
// 客户端连接已断开记录警告但仍继续解析usage
logger.warn(
`⚠️ [Official] Client disconnected during stream, skipping ${lines.length} lines for account: ${accountId}`
)
}
}
@@ -1671,7 +1911,7 @@ class ClaudeRelayService {
} catch (error) {
logger.error('❌ Error processing stream data:', error)
// 发送错误但不破坏流,让它自然结束
if (!responseStream.destroyed) {
if (isStreamWritable(responseStream)) {
responseStream.write('event: error\n')
responseStream.write(
`data: ${JSON.stringify({
@@ -1687,7 +1927,7 @@ class ClaudeRelayService {
res.on('end', async () => {
try {
// 处理缓冲区中剩余的数据
if (buffer.trim() && !responseStream.destroyed) {
if (buffer.trim() && isStreamWritable(responseStream)) {
if (streamTransformer) {
const transformed = streamTransformer(buffer)
if (transformed) {
@@ -1699,8 +1939,16 @@ class ClaudeRelayService {
}
// 确保流正确结束
if (!responseStream.destroyed) {
if (isStreamWritable(responseStream)) {
responseStream.end()
logger.debug(
`🌊 Stream end called | bytesWritten: ${responseStream.bytesWritten || 'unknown'}`
)
} else {
// 连接已断开,记录警告
logger.warn(
`⚠️ [Official] Client disconnected before stream end, data may not have been received | account: ${account?.name || accountId}`
)
}
} catch (error) {
logger.error('❌ Error processing stream end:', error)
@@ -1898,14 +2146,17 @@ class ClaudeRelayService {
}
if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
responseStream.writeHead(statusCode, {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
Connection: 'keep-alive'
Connection: existingConnection || 'keep-alive'
})
}
if (!responseStream.destroyed) {
if (isStreamWritable(responseStream)) {
// 发送 SSE 错误事件
responseStream.write('event: error\n')
responseStream.write(
@@ -1925,13 +2176,16 @@ class ClaudeRelayService {
logger.error(`❌ Claude stream request timeout | Account: ${account?.name || accountId}`)
if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
responseStream.writeHead(504, {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
Connection: 'keep-alive'
Connection: existingConnection || 'keep-alive'
})
}
if (!responseStream.destroyed) {
if (isStreamWritable(responseStream)) {
// 发送 SSE 错误事件
responseStream.write('event: error\n')
responseStream.write(
@@ -1950,7 +2204,7 @@ class ClaudeRelayService {
responseStream.on('close', () => {
logger.debug('🔌 Client disconnected, cleaning up stream')
if (!req.destroyed) {
req.destroy()
req.destroy(new Error('Client disconnected'))
}
})
@@ -2222,34 +2476,44 @@ class ClaudeRelayService {
}
}
// 🔧 准备测试请求的公共逻辑(供 testAccountConnection 和 testAccountConnectionSync 共用)
async _prepareAccountForTest(accountId) {
// 获取账户信息
const account = await claudeAccountService.getAccount(accountId)
if (!account) {
throw new Error('Account not found')
}
// 获取有效的访问token
const accessToken = await claudeAccountService.getValidAccessToken(accountId)
if (!accessToken) {
throw new Error('Failed to get valid access token')
}
// 获取代理配置
const proxyAgent = await this._getProxyAgent(accountId)
return { account, accessToken, proxyAgent }
}
// 🧪 测试账号连接供Admin API使用直接复用 _makeClaudeStreamRequestWithUsageCapture
async testAccountConnection(accountId, responseStream) {
const testRequestBody = createClaudeTestPayload('claude-sonnet-4-5-20250929', { stream: true })
async testAccountConnection(accountId, responseStream, model = 'claude-sonnet-4-5-20250929') {
const testRequestBody = createClaudeTestPayload(model, { stream: true })
try {
// 获取账户信息
const account = await claudeAccountService.getAccount(accountId)
if (!account) {
throw new Error('Account not found')
}
const { account, accessToken, proxyAgent } = await this._prepareAccountForTest(accountId)
logger.info(`🧪 Testing Claude account connection: ${account.name} (${accountId})`)
// 获取有效的访问token
const accessToken = await claudeAccountService.getValidAccessToken(accountId)
if (!accessToken) {
throw new Error('Failed to get valid access token')
}
// 获取代理配置
const proxyAgent = await this._getProxyAgent(accountId)
// 设置响应头
if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
responseStream.writeHead(200, {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
Connection: 'keep-alive',
Connection: existingConnection || 'keep-alive',
'X-Accel-Buffering': 'no'
})
}
@@ -2277,7 +2541,7 @@ class ClaudeRelayService {
} catch (error) {
logger.error(`❌ Test account connection failed:`, error)
// 发送错误事件给前端
if (!responseStream.destroyed && !responseStream.writableEnded) {
if (isStreamWritable(responseStream)) {
try {
const errorMsg = error.message || '测试失败'
responseStream.write(`data: ${JSON.stringify({ type: 'error', error: errorMsg })}\n\n`)
@@ -2289,6 +2553,125 @@ class ClaudeRelayService {
}
}
// 🧪 非流式测试账号连接(供定时任务使用)
// 复用流式请求方法,收集结果后返回
async testAccountConnectionSync(accountId, model = 'claude-sonnet-4-5-20250929') {
const testRequestBody = createClaudeTestPayload(model, { stream: true })
const startTime = Date.now()
try {
// 使用公共方法准备测试所需的账户信息、token 和代理
const { account, accessToken, proxyAgent } = await this._prepareAccountForTest(accountId)
logger.info(`🧪 Testing Claude account connection (sync): ${account.name} (${accountId})`)
// 创建一个收集器来捕获流式响应
let responseText = ''
let capturedUsage = null
let capturedModel = model
let hasError = false
let errorMessage = ''
// 创建模拟的响应流对象
const mockResponseStream = {
headersSent: true, // 跳过设置响应头
write: (data) => {
// 解析 SSE 数据
if (typeof data === 'string' && data.startsWith('data: ')) {
try {
const jsonStr = data.replace('data: ', '').trim()
if (jsonStr && jsonStr !== '[DONE]') {
const parsed = JSON.parse(jsonStr)
// 提取文本内容
if (parsed.type === 'content_block_delta' && parsed.delta?.text) {
responseText += parsed.delta.text
}
// 提取 usage 信息
if (parsed.type === 'message_delta' && parsed.usage) {
capturedUsage = parsed.usage
}
// 提取模型信息
if (parsed.type === 'message_start' && parsed.message?.model) {
capturedModel = parsed.message.model
}
// 检测错误
if (parsed.type === 'error') {
hasError = true
errorMessage = parsed.error?.message || 'Unknown error'
}
}
} catch {
// 忽略解析错误
}
}
return true
},
end: () => {},
on: () => {},
once: () => {},
emit: () => {},
writable: true
}
// 复用流式请求方法
await this._makeClaudeStreamRequestWithUsageCapture(
testRequestBody,
accessToken,
proxyAgent,
{}, // clientHeaders - 测试不需要客户端headers
mockResponseStream,
null, // usageCallback - 测试不需要统计
accountId,
'claude-official', // accountType
null, // sessionHash - 测试不需要会话
null, // streamTransformer - 不需要转换,直接解析原始格式
{}, // requestOptions
false // isDedicatedOfficialAccount
)
const latencyMs = Date.now() - startTime
if (hasError) {
logger.warn(`⚠️ Test completed with error for account: ${account.name} - ${errorMessage}`)
return {
success: false,
error: errorMessage,
latencyMs,
timestamp: new Date().toISOString()
}
}
logger.info(`✅ Test completed for account: ${account.name} (${latencyMs}ms)`)
return {
success: true,
message: responseText.substring(0, 200), // 截取前200字符
latencyMs,
model: capturedModel,
usage: capturedUsage,
timestamp: new Date().toISOString()
}
} catch (error) {
const latencyMs = Date.now() - startTime
logger.error(`❌ Test account connection (sync) failed:`, error.message)
// 提取错误详情
let errorMessage = error.message
if (error.response) {
errorMessage =
error.response.data?.error?.message || error.response.statusText || error.message
}
return {
success: false,
error: errorMessage,
statusCode: error.response?.status,
latencyMs,
timestamp: new Date().toISOString()
}
}
}
// 🎯 健康检查
async healthCheck() {
try {

View File

@@ -336,7 +336,12 @@ class DroidRelayService {
)
}
} catch (error) {
logger.error(`❌ Droid relay error: ${error.message}`, error)
// 客户端主动断开连接是正常情况,使用 INFO 级别
if (error.message === 'Client disconnected') {
logger.info(`🔌 Droid relay ended: Client disconnected`)
} else {
logger.error(`❌ Droid relay error: ${error.message}`, error)
}
const status = error?.response?.status
if (status >= 400 && status < 500) {
@@ -634,7 +639,7 @@ class DroidRelayService {
// 客户端断开连接时清理
clientResponse.on('close', () => {
if (req && !req.destroyed) {
req.destroy()
req.destroy(new Error('Client disconnected'))
}
})

View File

@@ -426,9 +426,9 @@ class OpenAIResponsesRelayService {
const lines = data.split('\n')
for (const line of lines) {
if (line.startsWith('data: ')) {
if (line.startsWith('data:')) {
try {
const jsonStr = line.slice(6)
const jsonStr = line.slice(5).trim()
if (jsonStr === '[DONE]') {
continue
}

View File

@@ -9,6 +9,26 @@ class UnifiedOpenAIScheduler {
this.SESSION_MAPPING_PREFIX = 'unified_openai_session_mapping:'
}
// 🔢 按优先级和最后使用时间排序账户(与 Claude/Gemini 调度保持一致)
_sortAccountsByPriority(accounts) {
return accounts.sort((a, b) => {
const aPriority = Number.parseInt(a.priority, 10)
const bPriority = Number.parseInt(b.priority, 10)
const normalizedAPriority = Number.isFinite(aPriority) ? aPriority : 50
const normalizedBPriority = Number.isFinite(bPriority) ? bPriority : 50
// 首先按优先级排序(数字越小优先级越高)
if (normalizedAPriority !== normalizedBPriority) {
return normalizedAPriority - normalizedBPriority
}
// 优先级相同时,按最后使用时间排序(最久未使用的优先)
const aLastUsed = new Date(a.lastUsedAt || 0).getTime()
const bLastUsed = new Date(b.lastUsedAt || 0).getTime()
return aLastUsed - bLastUsed
})
}
// 🔧 辅助方法:检查账户是否可调度(兼容字符串和布尔值)
_isSchedulable(schedulable) {
// 如果是 undefined 或 null默认为可调度
@@ -244,13 +264,7 @@ class UnifiedOpenAIScheduler {
`🎯 Using bound dedicated ${accountType} account: ${boundAccount.name} (${boundAccount.id}) for API key ${apiKeyData.name}`
)
// 更新账户的最后使用时间
if (accountType === 'openai') {
await openaiAccountService.recordUsage(boundAccount.id, 0)
} else {
await openaiResponsesAccountService.updateAccount(boundAccount.id, {
lastUsedAt: new Date().toISOString()
})
}
await this.updateAccountLastUsed(boundAccount.id, accountType)
return {
accountId: boundAccount.id,
accountType
@@ -292,7 +306,7 @@ class UnifiedOpenAIScheduler {
`🎯 Using sticky session account: ${mappedAccount.accountId} (${mappedAccount.accountType}) for session ${sessionHash}`
)
// 更新账户的最后使用时间
await openaiAccountService.recordUsage(mappedAccount.accountId, 0)
await this.updateAccountLastUsed(mappedAccount.accountId, mappedAccount.accountType)
return mappedAccount
} else {
logger.warn(
@@ -321,12 +335,8 @@ class UnifiedOpenAIScheduler {
}
}
// 按最后使用时间排序(最久未使用的优先,与 Claude 保持一致)
const sortedAccounts = availableAccounts.sort((a, b) => {
const aLastUsed = new Date(a.lastUsedAt || 0).getTime()
const bLastUsed = new Date(b.lastUsedAt || 0).getTime()
return aLastUsed - bLastUsed // 最久未使用的优先
})
// 按优先级和最后使用时间排序(与 Claude/Gemini 调度保持一致)
const sortedAccounts = this._sortAccountsByPriority(availableAccounts)
// 选择第一个账户
const selectedAccount = sortedAccounts[0]
@@ -344,11 +354,11 @@ class UnifiedOpenAIScheduler {
}
logger.info(
`🎯 Selected account: ${selectedAccount.name} (${selectedAccount.accountId}, ${selectedAccount.accountType}) for API key ${apiKeyData.name}`
`🎯 Selected account: ${selectedAccount.name} (${selectedAccount.accountId}, ${selectedAccount.accountType}, priority: ${selectedAccount.priority || 50}) for API key ${apiKeyData.name}`
)
// 更新账户的最后使用时间
await openaiAccountService.recordUsage(selectedAccount.accountId, 0)
await this.updateAccountLastUsed(selectedAccount.accountId, selectedAccount.accountType)
return {
accountId: selectedAccount.accountId,
@@ -494,21 +504,6 @@ class UnifiedOpenAIScheduler {
return availableAccounts
}
// 🔢 按优先级和最后使用时间排序账户(已废弃,改为与 Claude 保持一致,只按最后使用时间排序)
// _sortAccountsByPriority(accounts) {
// return accounts.sort((a, b) => {
// // 首先按优先级排序(数字越小优先级越高)
// if (a.priority !== b.priority) {
// return a.priority - b.priority
// }
// // 优先级相同时,按最后使用时间排序(最久未使用的优先)
// const aLastUsed = new Date(a.lastUsedAt || 0).getTime()
// const bLastUsed = new Date(b.lastUsedAt || 0).getTime()
// return aLastUsed - bLastUsed
// })
// }
// 🔍 检查账户是否可用
async _isAccountAvailable(accountId, accountType) {
try {
@@ -817,7 +812,7 @@ class UnifiedOpenAIScheduler {
`🎯 Using sticky session account from group: ${mappedAccount.accountId} (${mappedAccount.accountType})`
)
// 更新账户的最后使用时间
await openaiAccountService.recordUsage(mappedAccount.accountId, 0)
await this.updateAccountLastUsed(mappedAccount.accountId, mappedAccount.accountType)
return mappedAccount
}
}
@@ -909,12 +904,8 @@ class UnifiedOpenAIScheduler {
throw error
}
// 按最后使用时间排序(最久未使用的优先,与 Claude 保持一致)
const sortedAccounts = availableAccounts.sort((a, b) => {
const aLastUsed = new Date(a.lastUsedAt || 0).getTime()
const bLastUsed = new Date(b.lastUsedAt || 0).getTime()
return aLastUsed - bLastUsed // 最久未使用的优先
})
// 按优先级和最后使用时间排序(与 Claude/Gemini 调度保持一致)
const sortedAccounts = this._sortAccountsByPriority(availableAccounts)
// 选择第一个账户
const selectedAccount = sortedAccounts[0]
@@ -932,11 +923,11 @@ class UnifiedOpenAIScheduler {
}
logger.info(
`🎯 Selected account from group: ${selectedAccount.name} (${selectedAccount.accountId})`
`🎯 Selected account from group: ${selectedAccount.name} (${selectedAccount.accountId}, ${selectedAccount.accountType}, priority: ${selectedAccount.priority || 50})`
)
// 更新账户的最后使用时间
await openaiAccountService.recordUsage(selectedAccount.accountId, 0)
await this.updateAccountLastUsed(selectedAccount.accountId, selectedAccount.accountType)
return {
accountId: selectedAccount.accountId,
@@ -958,9 +949,12 @@ class UnifiedOpenAIScheduler {
async updateAccountLastUsed(accountId, accountType) {
try {
if (accountType === 'openai') {
await openaiAccountService.updateAccount(accountId, {
lastUsedAt: new Date().toISOString()
})
await openaiAccountService.recordUsage(accountId, 0)
return
}
if (accountType === 'openai-responses') {
await openaiResponsesAccountService.recordUsage(accountId, 0)
}
} catch (error) {
logger.warn(`⚠️ Failed to update last used time for account ${accountId}:`, error)

View File

@@ -0,0 +1,359 @@
/**
* 用户消息队列服务
* 为 Claude 账户实现基于消息类型的串行排队机制
*
* 当请求的最后一条消息是用户输入role: user
* 同一账户的此类请求需要串行等待,并在请求之间添加延迟
*/
const { v4: uuidv4 } = require('uuid')
const redis = require('../models/redis')
const config = require('../../config/config')
const logger = require('../utils/logger')
// 清理任务间隔
const CLEANUP_INTERVAL_MS = 60000 // 1分钟
// 轮询等待配置
const POLL_INTERVAL_BASE_MS = 50 // 基础轮询间隔
const POLL_INTERVAL_MAX_MS = 500 // 最大轮询间隔
const POLL_BACKOFF_FACTOR = 1.5 // 退避因子
class UserMessageQueueService {
constructor() {
this.cleanupTimer = null
}
/**
* 检测请求是否为真正的用户消息请求
* 区分真正的用户输入和 tool_result 消息
*
* Claude API 消息格式:
* - 用户文本消息: { role: 'user', content: 'text' } 或 { role: 'user', content: [{ type: 'text', text: '...' }] }
* - 工具结果消息: { role: 'user', content: [{ type: 'tool_result', tool_use_id: '...', content: '...' }] }
*
* @param {Object} requestBody - 请求体
* @returns {boolean} - 是否为真正的用户消息(排除 tool_result
*/
isUserMessageRequest(requestBody) {
const messages = requestBody?.messages
if (!Array.isArray(messages) || messages.length === 0) {
return false
}
const lastMessage = messages[messages.length - 1]
// 检查 role 是否为 user
if (lastMessage?.role !== 'user') {
return false
}
// 检查 content 是否包含 tool_result 类型
const { content } = lastMessage
if (Array.isArray(content)) {
// 如果 content 数组中任何元素是 tool_result则不是真正的用户消息
const hasToolResult = content.some(
(block) => block?.type === 'tool_result' || block?.type === 'tool_use_result'
)
if (hasToolResult) {
return false
}
}
// role 是 user 且不包含 tool_result是真正的用户消息
return true
}
/**
* 获取当前配置(支持 Web 界面配置优先)
* @returns {Promise<Object>} 配置对象
*/
async getConfig() {
// 默认配置(防止 config.userMessageQueue 未定义)
// 注意:优化后的默认值 - 锁持有时间从分钟级降到毫秒级,无需长等待
const queueConfig = config.userMessageQueue || {}
const defaults = {
enabled: queueConfig.enabled ?? false,
delayMs: queueConfig.delayMs ?? 200,
timeoutMs: queueConfig.timeoutMs ?? 5000, // 从 60000 降到 5000因为锁持有时间短
lockTtlMs: queueConfig.lockTtlMs ?? 5000 // 从 120000 降到 50005秒足以覆盖请求发送
}
// 尝试从 claudeRelayConfigService 获取 Web 界面配置
try {
const claudeRelayConfigService = require('./claudeRelayConfigService')
const webConfig = await claudeRelayConfigService.getConfig()
return {
enabled:
webConfig.userMessageQueueEnabled !== undefined
? webConfig.userMessageQueueEnabled
: defaults.enabled,
delayMs:
webConfig.userMessageQueueDelayMs !== undefined
? webConfig.userMessageQueueDelayMs
: defaults.delayMs,
timeoutMs:
webConfig.userMessageQueueTimeoutMs !== undefined
? webConfig.userMessageQueueTimeoutMs
: defaults.timeoutMs,
lockTtlMs:
webConfig.userMessageQueueLockTtlMs !== undefined
? webConfig.userMessageQueueLockTtlMs
: defaults.lockTtlMs
}
} catch {
// 回退到环境变量配置
return defaults
}
}
/**
* 检查功能是否启用
* @returns {Promise<boolean>}
*/
async isEnabled() {
const cfg = await this.getConfig()
return cfg.enabled === true
}
/**
* 获取账户队列锁(阻塞等待)
* @param {string} accountId - 账户ID
* @param {string} requestId - 请求ID可选会自动生成
* @param {number} timeoutMs - 超时时间(可选,使用配置默认值)
* @param {Object} accountConfig - 账户级配置(可选),优先级高于全局配置
* @param {number} accountConfig.maxConcurrency - 账户级串行队列开关:>0启用=0使用全局配置
* @returns {Promise<{acquired: boolean, requestId: string, error?: string}>}
*/
async acquireQueueLock(accountId, requestId = null, timeoutMs = null, accountConfig = null) {
const cfg = await this.getConfig()
// 账户级配置优先maxConcurrency > 0 时强制启用,忽略全局开关
let queueEnabled = cfg.enabled
if (accountConfig && accountConfig.maxConcurrency > 0) {
queueEnabled = true
logger.debug(
`📬 User message queue: account-level queue enabled for account ${accountId} (maxConcurrency=${accountConfig.maxConcurrency})`
)
}
if (!queueEnabled) {
return { acquired: true, requestId: requestId || uuidv4(), skipped: true }
}
const reqId = requestId || uuidv4()
const timeout = timeoutMs || cfg.timeoutMs
const startTime = Date.now()
let retryCount = 0
logger.debug(`📬 User message queue: attempting to acquire lock for account ${accountId}`, {
requestId: reqId,
timeoutMs: timeout
})
while (Date.now() - startTime < timeout) {
const result = await redis.acquireUserMessageLock(
accountId,
reqId,
cfg.lockTtlMs,
cfg.delayMs
)
// 检测 Redis 错误,立即返回系统错误而非继续轮询
if (result.redisError) {
logger.error(`📬 User message queue: Redis error while acquiring lock`, {
accountId,
requestId: reqId,
errorMessage: result.errorMessage
})
return {
acquired: false,
requestId: reqId,
error: 'queue_backend_error',
errorMessage: result.errorMessage
}
}
if (result.acquired) {
logger.debug(`📬 User message queue: lock acquired for account ${accountId}`, {
requestId: reqId,
waitedMs: Date.now() - startTime,
retries: retryCount
})
return { acquired: true, requestId: reqId }
}
// 需要等待
if (result.waitMs > 0) {
// 需要延迟(上一个请求刚完成)
await this._sleep(Math.min(result.waitMs, timeout - (Date.now() - startTime)))
} else {
// 锁被占用,使用指数退避轮询等待
const basePollInterval = Math.min(
POLL_INTERVAL_BASE_MS * Math.pow(POLL_BACKOFF_FACTOR, retryCount),
POLL_INTERVAL_MAX_MS
)
// 添加 ±15% 随机抖动,避免高并发下的周期性碰撞
const jitter = basePollInterval * (0.85 + Math.random() * 0.3)
const pollInterval = Math.min(jitter, POLL_INTERVAL_MAX_MS)
await this._sleep(pollInterval)
retryCount++
}
}
// 超时
logger.warn(`📬 User message queue: timeout waiting for lock`, {
accountId,
requestId: reqId,
timeoutMs: timeout
})
return {
acquired: false,
requestId: reqId,
error: 'queue_timeout'
}
}
/**
* 释放账户队列锁
* @param {string} accountId - 账户ID
* @param {string} requestId - 请求ID
* @returns {Promise<boolean>}
*/
async releaseQueueLock(accountId, requestId) {
if (!accountId || !requestId) {
return false
}
const released = await redis.releaseUserMessageLock(accountId, requestId)
if (released) {
logger.debug(`📬 User message queue: lock released for account ${accountId}`, {
requestId
})
} else {
logger.warn(`📬 User message queue: failed to release lock (not owner?)`, {
accountId,
requestId
})
}
return released
}
/**
* 获取队列统计信息
* @param {string} accountId - 账户ID
* @returns {Promise<Object>}
*/
async getQueueStats(accountId) {
return await redis.getUserMessageQueueStats(accountId)
}
/**
* 服务启动时清理所有残留的队列锁
* 防止服务重启后旧锁阻塞新请求
* @returns {Promise<number>} 清理的锁数量
*/
async cleanupStaleLocks() {
try {
const accountIds = await redis.scanUserMessageQueueLocks()
let cleanedCount = 0
for (const accountId of accountIds) {
try {
await redis.forceReleaseUserMessageLock(accountId)
cleanedCount++
logger.debug(`📬 User message queue: cleaned stale lock for account ${accountId}`)
} catch (error) {
logger.error(
`📬 User message queue: failed to clean lock for account ${accountId}:`,
error
)
}
}
if (cleanedCount > 0) {
logger.info(`📬 User message queue: cleaned ${cleanedCount} stale lock(s) on startup`)
}
return cleanedCount
} catch (error) {
logger.error('📬 User message queue: failed to cleanup stale locks on startup:', error)
return 0
}
}
/**
* 启动定时清理任务
* 始终启动,每次执行时检查配置以支持运行时动态启用/禁用
*/
startCleanupTask() {
if (this.cleanupTimer) {
return
}
this.cleanupTimer = setInterval(async () => {
// 每次运行时检查配置,以便在运行时动态启用/禁用
const currentConfig = await this.getConfig()
if (!currentConfig.enabled) {
logger.debug('📬 User message queue: cleanup skipped (feature disabled)')
return
}
await this._cleanupOrphanLocks()
}, CLEANUP_INTERVAL_MS)
logger.info('📬 User message queue: cleanup task started')
}
/**
* 停止定时清理任务
*/
stopCleanupTask() {
if (this.cleanupTimer) {
clearInterval(this.cleanupTimer)
this.cleanupTimer = null
logger.info('📬 User message queue: cleanup task stopped')
}
}
/**
* 清理孤儿锁
* 检测异常情况锁存在但没有设置过期时间lockTtlRaw === -1
* 正常情况下所有锁都应该有 TTLRedis 会自动过期
* @private
*/
async _cleanupOrphanLocks() {
try {
const accountIds = await redis.scanUserMessageQueueLocks()
for (const accountId of accountIds) {
const stats = await redis.getUserMessageQueueStats(accountId)
// 检测异常情况锁存在isLocked=true但没有过期时间lockTtlRaw=-1
// 正常创建的锁都带有 PX 过期时间,如果没有说明是异常状态
if (stats.isLocked && stats.lockTtlRaw === -1) {
logger.warn(
`📬 User message queue: cleaning up orphan lock without TTL for account ${accountId}`,
{ lockHolder: stats.lockHolder }
)
await redis.forceReleaseUserMessageLock(accountId)
}
}
} catch (error) {
logger.error('📬 User message queue: cleanup task error:', error)
}
}
/**
* 睡眠辅助函数
* @param {number} ms - 毫秒
* @private
*/
_sleep(ms) {
return new Promise((resolve) => setTimeout(resolve, ms))
}
}
module.exports = new UserMessageQueueService()

View File

@@ -137,6 +137,7 @@ const createLogFormat = (colorize = false) => {
const logFormat = createLogFormat(false)
const consoleFormat = createLogFormat(true)
const isTestEnv = process.env.NODE_ENV === 'test' || process.env.JEST_WORKER_ID
// 📁 确保日志目录存在并设置权限
if (!fs.existsSync(config.logging.dirname)) {
@@ -159,18 +160,20 @@ const createRotateTransport = (filename, level = null) => {
transport.level = level
}
// 监听轮转事件
transport.on('rotate', (oldFilename, newFilename) => {
console.log(`📦 Log rotated: ${oldFilename} -> ${newFilename}`)
})
// 监听轮转事件(测试环境关闭以避免 Jest 退出后输出)
if (!isTestEnv) {
transport.on('rotate', (oldFilename, newFilename) => {
console.log(`📦 Log rotated: ${oldFilename} -> ${newFilename}`)
})
transport.on('new', (newFilename) => {
console.log(`📄 New log file created: ${newFilename}`)
})
transport.on('new', (newFilename) => {
console.log(`📄 New log file created: ${newFilename}`)
})
transport.on('archive', (zipFilename) => {
console.log(`🗜️ Log archived: ${zipFilename}`)
})
transport.on('archive', (zipFilename) => {
console.log(`🗜️ Log archived: ${zipFilename}`)
})
}
return transport
}

105
src/utils/statsHelper.js Normal file
View File

@@ -0,0 +1,105 @@
/**
* 统计计算工具函数
* 提供百分位数计算、等待时间统计等通用统计功能
*/
/**
* 计算百分位数(使用 nearest-rank 方法)
* @param {number[]} sortedArray - 已排序的数组(升序)
* @param {number} percentile - 百分位数 (0-100)
* @returns {number} 百分位值
*
* 边界情况说明:
* - percentile=0: 返回最小值 (index=0)
* - percentile=100: 返回最大值 (index=len-1)
* - percentile=50 且 len=2: 返回第一个元素nearest-rank 向下取)
*
* 算法说明nearest-rank 方法):
* - index = ceil(percentile / 100 * len) - 1
* - 示例len=100, P50 → ceil(50) - 1 = 49第50个元素0-indexed
* - 示例len=100, P99 → ceil(99) - 1 = 98第99个元素
*/
function getPercentile(sortedArray, percentile) {
const len = sortedArray.length
if (len === 0) {
return 0
}
if (len === 1) {
return sortedArray[0]
}
// 边界处理percentile <= 0 返回最小值
if (percentile <= 0) {
return sortedArray[0]
}
// 边界处理percentile >= 100 返回最大值
if (percentile >= 100) {
return sortedArray[len - 1]
}
const index = Math.ceil((percentile / 100) * len) - 1
return sortedArray[index]
}
/**
* 计算等待时间分布统计
* @param {number[]} waitTimes - 等待时间数组(无需预先排序)
* @returns {Object|null} 统计对象,空数组返回 null
*
* 返回对象包含:
* - sampleCount: 样本数量(始终包含,便于调用方判断可靠性)
* - count: 样本数量(向后兼容)
* - min: 最小值
* - max: 最大值
* - avg: 平均值(四舍五入)
* - p50: 50百分位数中位数
* - p90: 90百分位数
* - p99: 99百分位数
* - sampleSizeWarning: 样本量不足时的警告信息(样本 < 10
* - p90Unreliable: P90 统计不可靠标记(样本 < 10
* - p99Unreliable: P99 统计不可靠标记(样本 < 100
*
* 可靠性标记说明(详见 design.md Decision 6
* - 样本 < 10: P90 和 P99 都不可靠
* - 样本 < 100: P99 不可靠P90 需要 10 个样本P99 需要 100 个样本)
* - 即使标记为不可靠,仍返回计算值供参考
*/
function calculateWaitTimeStats(waitTimes) {
if (!waitTimes || waitTimes.length === 0) {
return null
}
const sorted = [...waitTimes].sort((a, b) => a - b)
const sum = sorted.reduce((a, b) => a + b, 0)
const len = sorted.length
const stats = {
sampleCount: len, // 新增:始终包含样本数
count: len, // 向后兼容
min: sorted[0],
max: sorted[len - 1],
avg: Math.round(sum / len),
p50: getPercentile(sorted, 50),
p90: getPercentile(sorted, 90),
p99: getPercentile(sorted, 99)
}
// 渐进式可靠性标记(详见 design.md Decision 6
// 样本 < 10: P90 不可靠P90 至少需要 ceil(100/10) = 10 个样本)
if (len < 10) {
stats.sampleSizeWarning = 'Results may be inaccurate due to small sample size'
stats.p90Unreliable = true
}
// 样本 < 100: P99 不可靠P99 至少需要 ceil(100/1) = 100 个样本)
if (len < 100) {
stats.p99Unreliable = true
}
return stats
}
module.exports = {
getPercentile,
calculateWaitTimeStats
}

36
src/utils/streamHelper.js Normal file
View File

@@ -0,0 +1,36 @@
/**
* Stream Helper Utilities
* 流处理辅助工具函数
*/
/**
* 检查响应流是否仍然可写(客户端连接是否有效)
* @param {import('http').ServerResponse} stream - HTTP响应流
* @returns {boolean} 如果流可写返回true否则返回false
*/
function isStreamWritable(stream) {
if (!stream) {
return false
}
// 检查流是否已销毁
if (stream.destroyed) {
return false
}
// 检查底层socket是否已销毁
if (stream.socket?.destroyed) {
return false
}
// 检查流是否已结束写入
if (stream.writableEnded) {
return false
}
return true
}
module.exports = {
isStreamWritable
}