# 启动编排器
go run cmd/main.go

# 另一个终端：启动 UDP 接收器
go run examples/go/udp_receiver.go 5002

# 编辑 config/config.json 设置 num_participants: 10
# 运行混沌测试
go run tools/chaos-test/main.go -config config/config.json

{
  "base_url": "http://localhost:8080",
  "media_path": "public/rick-roll.mp4",
  "num_participants": 10,
  "duration_seconds": 300,
  "spikes": {
    "count": 20,
    "interval_seconds": 5,
    "types": { "rtp_packet_loss": {...}, "network_jitter": {...} }
  },
  "spike_distribution": {
    "strategy": "random",
    "min_spacing_seconds": 5,
    "jitter_percent": 15
  }
}

# 构建并启动编排器容器
./scripts/start_everything.sh build

# 另一个终端：启动 UDP 接收器
go run examples/go/udp_receiver.go 5002

# 编辑 config/config.json 设置 num_participants: 100
# 运行混沌测试（目标为容器）
go run tools/chaos-test/main.go -config config/config.json

services:
  orchestrator:
    deploy:
      resources:
        limits:
          cpus: "14.0"
          memory: 6G  # 增加以容纳更多参与者

# Nix 提供：Go、Docker、kubectl、kind、ffmpeg
nix develop

# 或使用 direnv 自动激活
echo "use flake" > .envrc
direnv allow

# 自动部署并优化设置（检测系统资源）
./scripts/start_everything.sh run -config config/config.json

# 或指定自定义媒体文件
./scripts/start_everything.sh run --media=path/to/video.mp4 -config config/config.json

# 接收来自所有 1500 个参与者的聚合流
go run ./examples/go/udp_receiver.go 5002

# 通过 WebRTC 连接最多 150 个参与者
go run ./examples/go/webrtc_receiver.go http://localhost:8080 <test_id> 150

1500 个参与者分布在 10 个 Pod 上
  → 每个 Pod：150 个参与者
  → 按 participant_id % 10 分区
  → 全部向 udp-relay:5000 发送 UDP
  → UDP 中继聚合 → TCP :5001
  → kubectl port-forward 15001:5001
  → 本地中继转换 TCP → UDP :5002
  → 你的接收器获取全部 1500 个流

# 构建并加载镜像
docker build -t chaos-monkey-orchestrator:latest .
kind load docker-image chaos-monkey-orchestrator:latest

# 部署
kubectl apply -f k8s/orchestrator/orchestrator.yaml
kubectl apply -f k8s/udp-relay/udp-relay.yaml

# 等待 Pod 就绪
kubectl wait --for=condition=ready pod -l app=orchestrator --timeout=300s

# 端口转发 UDP 中继
kubectl port-forward udp-relay 15001:5001 &

# 启动本地 TCP→UDP 中继
go run tools/udp-relay/main.go &

# 另一个终端：启动接收器
go run ./examples/go/udp_receiver.go 5002

# 另一个终端：运行混沌测试
go run tools/chaos-test/main.go -config config/config.json

# 删除 Kubernetes 资源
./scripts/cleanup.sh

# 或删除整个集群
kind delete cluster --name av-chaos-monkey

# 为 Linux x86_64 构建（最常见）
nix build .#packages.x86_64-linux.av-chaos-monkey

# 为 ARM64 构建（Raspberry Pi、AWS Graviton）
nix build .#packages.aarch64-linux.av-chaos-monkey

# 为 macOS Intel 构建
nix build .#packages.x86_64-darwin.av-chaos-monkey

# 为 macOS Apple Silicon 构建
nix build .#packages.aarch64-darwin.av-chaos-monkey

# 二进制文件位置
./result/bin/main

# 创建测试
POST /api/v1/test/create
{
  "test_id": "optional_id",
  "num_participants": 100,
  "video": {...},
  "audio": {...},
  "duration_seconds": 600,
  "spikes": [...],
  "spike_distribution": {
    "strategy": "even",
    "min_spacing_seconds": 5,
    "jitter_percent": 15
  }
}

# 启动测试
POST /api/v1/test/{test_id}/start

# 获取指标
GET /api/v1/test/{test_id}/metrics

# 停止测试
POST /api/v1/test/{test_id}/stop

# 获取 SDP 提议
GET /api/v1/test/{test_id}/sdp/{participant_id}

# 设置 SDP 应答
POST /api/v1/test/{test_id}/sdp/{participant_id}
{"sdp_answer": "v=0..."}

# 注入尖峰
POST /api/v1/test/{test_id}/spike
{
  "spike_id": "unique_id",
  "type": "rtp_packet_loss",
  "duration_seconds": 30,
  "participant_ids": [1001, 1002],
  "params": {"loss_percentage": "15"}
}

{
  "spike_distribution": {
    "strategy": "even",
    "min_spacing_seconds": 5,
    "jitter_percent": 15,
    "respect_min_offset": true
  }
}

# 提供的接收器，包含 RTP 解析
go run examples/go/udp_receiver.go 5002

Listening for RTP packets on UDP port 0.0.0.0:5002
Packet #100 from 127.0.0.1:xxxxx:
  Participant ID: 1001
  Payload Type: 96 (H.264 video)
  Sequence: 1234
  Timestamp: 90000
  SSRC: 1001000
  Payload Size: 1200 bytes

═══════════════════════════════════════════════════════════
                    PACKET STATISTICS                       
═══════════════════════════════════════════════════════════
Duration: 60s
Total Packets: 180000 (3000 pkt/s)
Total Bytes: 450 MB (60 Mbps)

Media Type Breakdown:
  Video (H.264): 120000 packets (66.7%)
  Audio (Opus):  60000 packets (33.3%)

Unique Streams (SSRCs): 1500
Unique Participants: 1500

# 单个参与者
go run ./examples/go/webrtc_receiver.go http://localhost:8080 <test_id>

# 多个参与者（最多 150）
go run ./examples/go/webrtc_receiver.go http://localhost:8080 <test_id> 150

# 示例（使用实际测试 ID）
go run ./examples/go/webrtc_receiver.go http://localhost:8080 chaos_test_1770831684 150

 0                   1                   2                   3
 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1
+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
|V=2|P|X|  CC   |M|     PT      |       sequence number         |
+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
|                           timestamp                           |
+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
|           synchronization source (SSRC) identifier            |
+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
|  Extension ID=1 | Length=4    |    Participant ID (uint32)    |
+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
|                         H.264/Opus Payload                    |
+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+

// Extension bit set?
if (packet[0] & 0x10) != 0 {
    offset := 12 + int(packet[0]&0x0F)*4  // Skip CSRC
    extID := binary.BigEndian.Uint16(packet[offset:])
    if extID == 1 {
        participantID := binary.LittleEndian.Uint32(packet[offset+4:])
    }
}

# 暴露在 /metrics 端点
av_chaos_monkey_participants_total
av_chaos_monkey_packets_sent_total
av_chaos_monkey_bytes_sent_total
av_chaos_monkey_spikes_active
av_chaos_monkey_packet_loss_percent
av_chaos_monkey_jitter_ms

# Docker 模式：启动监控栈
docker-compose --profile monitoring up

# Kubernetes 模式：部署监控
kubectl apply -f k8s/monitoring/prometheus-rbac.yaml
kubectl apply -f k8s/monitoring/prometheus.yaml
kubectl apply -f k8s/monitoring/grafana.yaml

# 访问 Grafana
# Docker：http://localhost:3000
# Kubernetes：http://localhost:30030（NodePort）
# 默认凭据：admin/admin

# 访问 Prometheus
# Docker：http://localhost:9091
# Kubernetes：http://localhost:30090（NodePort）

# 获取测试指标
curl http://localhost:8080/api/v1/test/{test_id}/metrics | jq

# 输出
{
  "aggregate": {
    "total_frames_sent": 45000,
    "total_packets_sent": 180000,
    "total_bitrate_kbps": 250000,
    "avg_jitter_ms": 12.5,
    "avg_packet_loss": 2.3,
    "avg_mos_score": 4.1
  }
}

# 检查 UDP 目标配置
kubectl logs orchestrator-0 | grep "UDP transmission enabled"

# 验证 UDP 中继是否运行
kubectl get pod udp-relay

# 检查端口转发
ps aux | grep "kubectl port-forward"

# 测试 UDP 连通性
nc -u -z localhost 5002

# 检查 TURN 服务器
kubectl get svc coturn-lb

# 验证 ICE 候选
kubectl logs orchestrator-0 | grep "ICE"

# 测试 TURN 连通性
turnutils_uclient -v -u webrtc -w webrtc123 <turn-server>:3478

# 检查每个 Pod 的参与者数量
kubectl exec orchestrator-0 -- curl -s http://localhost:8080/api/v1/test/{test_id}/metrics | jq '.participants | length'

# 减少参与者数量或增加 Pod 数量
go run tools/k8s-start/main.go -replicas 10 -participants 1000

# 增加 Docker 内存（Docker Desktop）
# 设置 → 资源 → 内存 → 16GB