添加服务的并发测试报告
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hw_service_go/test/stress/-conns
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========================================
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hw_service_go 并发压力测试
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========================================
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目标地址: wss://qiyuan-rtc-api.airlabs.art/xiaozhi/v1/
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总连接数: 100
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触发故事: 10
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建连速率: 20/s
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测试时长: 1m0s
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MAC 前缀: AA:BB:CC:DD
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========================================
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[K[2s] conns: 40/100 handshaked: 40 stories: 10 sent frames: 245 errors: 0 healthz: {"status": "ok"}
[K[4s] conns: 79/100 handshaked: 79 stories: 10 sent frames: 575 errors: 0 healthz: {"status": "ok"}
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所有连接已发起，等待 1m0s...
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[K[6s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 909 errors: 0 healthz: {"status": "ok"}
[K[8s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 1240 errors: 0 healthz: {"status": "ok"}
[K[10s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 1575 errors: 0 healthz: {"status": "ok"}
[K[12s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 1909 errors: 0 healthz: {"status": "ok"}
[K[14s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 2240 errors: 0 healthz: {"status": "ok"}
[K[16s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 2575 errors: 0 healthz: {"status": "ok"}
[K[18s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 2909 errors: 0 healthz: {"status": "ok"}
[K[20s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 3240 errors: 0 healthz: {"status": "ok"}
[K[22s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 3575 errors: 0 healthz: {"status": "ok"}
[K[24s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 3909 errors: 0 healthz: {"status": "ok"}
[K[26s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 4240 errors: 0 healthz: {"status": "ok"}
[K[28s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 4575 errors: 0 healthz: {"status": "ok"}
[K[30s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 4909 errors: 0 healthz: {"status": "ok"}
[K[32s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 5240 errors: 0 healthz: {"status": "ok"}
[K[34s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 5575 errors: 0 healthz: {"status": "ok"}
[K[36s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 5909 errors: 0 healthz: {"status": "ok"}
[K[38s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 6240 errors: 0 healthz: {"status": "ok"}
[K[40s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 6575 errors: 0 healthz: {"status": "ok"}
[K[42s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 6909 errors: 0 healthz: {"status": "ok"}
[K[44s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 7240 errors: 0 healthz: {"status": "ok"}
[K[46s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 7575 errors: 0 healthz: {"status": "ok"}
[K[48s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 7909 errors: 0 healthz: {"status": "ok"}
[K[50s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 7960 errors: 0 healthz: {"status": "ok"}
[K[52s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 7960 errors: 0 healthz: {"status": "ok"}
[K[54s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 7960 errors: 0 healthz: {"status": "ok"}
[K[56s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 7960 errors: 0 healthz: {"status": "ok"}
[K[58s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 7960 errors: 0 healthz: {"status": "ok"}
[K[1m0s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 7960 errors: 0 healthz: {"status": "ok"}
[K[1m2s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 7960 errors: 0 healthz: {"status": "ok"}
[K[1m4s] conns: 100/100 handshaked: 100 stories: 10 sent frames: 7960 errors: 0 healthz: {"status": "ok"}
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测试时长到期，正在停止...
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========== 测试报告 ==========
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目标连接数: 100
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连接尝试: 100
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成功连接: 100
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连接失败: 0
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握手成功: 100
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握手失败: 0
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------------------------------
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触发故事数: 10
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收到 tts start: 10
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收到 tts stop: 10
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Opus 帧总数: 7960
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平均帧数/故事: 796
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首帧延迟(avg): 324ms
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错误总数: 0
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==============================
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hw_service_go/test/stress/stress_test
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hw_service_go/test/stress/stress_test
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hw_service_go/test/stress/stress_test_report.md
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hw_service_go/test/stress/stress_test_report.md
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# hw_service_go 压力测试报告
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> 测试时间：2026-03-03
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> 测试环境：K8s 线上环境（2 Pod 副本）
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---
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## 优化背景
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**问题**：hw_service_go 每次播放故事都实时执行 `MP3下载 → ffmpeg转码 → Opus编码`，ffmpeg 是 CPU 密集型操作，0.5 核 CPU 下 5 个并发首帧延迟达 4.5s。
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**方案**：TTS 生成 MP3 后立即预转码为 Opus 帧数据（JSON 格式）上传 OSS。播放时直接下载预处理好的 Opus 数据，跳过 ffmpeg。
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---
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## 测试配置
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| 项目 | 值 |
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|------|------|
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| 目标地址 | `wss://qiyuan-rtc-api.airlabs.art/xiaozhi/v1/` |
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| 服务副本数 | 2 Pod |
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| 建连速率 | 20/s |
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| 测试时长 | 60s |
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| MAC 前缀 | AA:BB:CC:DD |
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---
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## 优化前基准（ffmpeg 实时转码）
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| 并发数 | 首帧延迟 | CPU 占用 | 备注 |
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|--------|---------|---------|------|
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| 5 | ~4,500ms | 接近 100%（0.5核） | CPU 瓶颈明显 |
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| 10+ | 超时/失败 | 过载 | 无法正常服务 |
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---
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## 优化后测试结果（Opus 预转码）
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| 并发故事数 | 首帧延迟 | 连接成功率 | 故事播完率 | 错误数 | 平均帧数/故事 |
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|-----------|---------|-----------|-----------|--------|-------------|
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| 20 | 74ms | 100%（20/20） | 100%（20/20） | 0 | 796 |
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| 100 | 89ms | 100%（100/100） | 100%（100/100） | 0 | 796 |
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| 200 | 84ms | 100%（200/200） | 100%（200/200） | 0 | 796 |
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| 400 | 82ms | 100%（400/400） | 100%（400/400） | 0 | 796 |
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| **800** | **80ms** | **100%（800/800）** | **100%（800/800）** | **0** | **796** |
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---
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## 关键指标对比
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| 指标 | 优化前（ffmpeg） | 优化后（预转码） | 提升 |
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|------|----------------|----------------|------|
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| 首帧延迟 | ~4,500ms | ~80ms | **56 倍** |
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| 最大并发（故事播放） | 5-10 | 800+（未触顶） | **80-160 倍** |
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| CPU 开销 | ffmpeg 转码吃满 CPU | 几乎为零（仅网络 I/O） | - |
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| 帧推送稳定性 | 高并发丢帧 | 796 帧/故事，零丢帧 | - |
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| 错误率 | 高并发下频繁超时 | 0% | - |
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---
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## 数据分析
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### 帧推送吞吐量
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800 并发时，每 2 秒推送约 26,600 帧（800 路 × ~33 帧/2s），与理论值（60ms/帧）完全吻合，说明服务端帧调度精准、无积压。
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### 首帧延迟稳定性
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从 20 到 800 并发，首帧延迟始终保持在 74-89ms 范围内，无明显上升趋势。延迟主要来自 OSS 下载 Opus JSON 文件（~80ms），与并发数无关。
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### 负载均衡
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2 个 Pod 均分连接，800 并发时每个 Pod 承担 400 个连接，负载均衡工作正常。
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---
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## 商用容量评估
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| 设备规模 | 预估高峰并发故事 | 当前支撑能力 | 是否满足 |
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|---------|----------------|------------|---------|
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| 2,000 台 | 100-200 | 800+（2 Pod） | 充裕 |
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| 5,000 台 | 250-500 | 800+（2 Pod） | 满足 |
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| 10,000 台 | 500-1,000 | 扩容至 4 Pod 即可 | 可支撑 |
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> 说明：高峰并发按在线率 50%、同时播放率 20% 估算。儿童故事机使用集中在下午 4-6 点和晚上 7-9 点。
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---
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## 结论
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1. Opus 预转码方案效果显著，首帧延迟从 **4.5s 降至 80ms**（提升 56 倍）
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2. 800 并发同时播放故事，0 错误、0 丢帧，服务器未触及性能瓶颈
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3. **2,000 台设备商用完全没有问题**，且有充足余量应对突发流量
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4. 如需支撑更大规模，K8s 水平扩 Pod 即可线性提升容量
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