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Scrape training metrics from Tencent AI Arena (tencentarena.com) monitoring dashboard. Covers JWT auth, x-kaiwu-auth signature, API endpoints, and metric extraction.
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Use when working with the Kaiwu platform monitoring system — fetching training metrics, plotting charts, running anomaly checks, or updating monitor config. Covers the monitoring/ directory: fetch.py, check.py, plot.py, config.yaml.
| name | arena-monitor |
| description | Scrape training metrics from Tencent AI Arena (tencentarena.com) monitoring dashboard. Covers JWT auth, x-kaiwu-auth signature, API endpoints, and metric extraction. |
| version | 1.0.0 |
| author | QoobeeHermes |
| platforms | ["linux","macos","windows"] |
| metadata | {"hermes":{"tags":["kaiwu","monitoring","api","metrics"],"related_skills":["rl-advisor","repo-sync"]}} |
从腾讯开悟平台 (tencentarena.com) 抓取训练监控数据。
JWT token 从浏览器 cookie kaiwu-token 获取，同时作为 Authorization: Bearer 头。
JWT payload 包含：
custom: user_id（如 15850）exp: 过期时间（通常 7 天）iss: "kaiwu"每个 API 请求需要两个自定义头：
x-kaiwu-ts: <当前 Unix 时间戳（秒）>
x-kaiwu-auth: DJB2_HASH(timestamp + token_last_32_chars + url_last_path_segment)
DJB2 hash 实现（JavaScript 源码）：
function k9(t) {
return function(t, e) {
for (var r = 5381, n = 0, o = e.length; n < o; ++n)
r += (r << 5) + e.charCodeAt(n);
return 2147483647 & r
}(0, t)
}
Python 实现：
def kaiwu_auth_hash(timestamp: int, token: str, url_path: str) -> int:
last32 = token[-32:]
last_segment = url_path.rstrip('/').split('/')[-1]
data = f"{timestamp}{last32}{last_segment}"
r = 5381
for c in data:
r = (r + (r << 5) + ord(c)) & 0xFFFFFFFF
return r & 2147483647
Cookie: select_lang=zh; kaiwu-token=<JWT>
Authorization: Bearer <JWT>
x-kaiwu-auth: <hash>
x-kaiwu-ts: <timestamp>
Referer: https://tencentarena.com/p/v5/exp/monitor
基础路径：https://tencentarena.com/api/v5/Competition/
| 端点 | 方法 | 说明 |
|---|---|---|
GetTrainTask | POST | 获取训练任务信息 |
GetTrainLog | POST | 获取训练日志 |
GetTrainMetric | POST | 获取指标数据（PromQL 查询） |
GetTrainMetricRange | POST | 获取指标时间范围 |
ListTrainTask | POST | 列出训练任务 |
ListTrainAiModel | POST | 列出训练模型 |
GetExperiment | POST | 获取实验信息 |
{
"domain": {"type": "competition_stage", "id": 444},
"train_task_id": 183628,
"competition_team_id": 7203,
"experiment_id": 11425,
"start_time": {"timestamp": "2026-05-27T16:00:00Z"},
"end_time": {"timestamp": "2026-05-28T02:00:00Z"},
"queries": [
{"expr": "round(avg(kaiwu_win_rate{model_id=\"selfplay\"}) by (model_id), 0.01)"}
]
}
kaiwu_train_global_step — 全局训练步数kaiwu_actor_predict_succ_cnt — Actor 预测成功数kaiwu_sample_production_and_consumption_ratio — 样本生产消费比kaiwu_episode_cnt — 对局数kaiwu_actor_load_last_model_succ_cnt — Actor 加载最新模型成功数kaiwu_sample_receive_cnt — 样本接收数kaiwu_win_rate — 胜率（selfplay 对局）kaiwu_self_tower_hp / kaiwu_enemy_tower_hp — 塔血量kaiwu_frame — 对局帧数kaiwu_kill / kaiwu_death — 击杀/死亡数kaiwu_money_per_frame — 每帧经济kaiwu_hurt_to_hero / kaiwu_hurt_by_hero — 每帧伤害kaiwu_direnjie_vs_luban_win_rate、kaiwu_luban_vs_direnjie_win_ratekaiwu_eval_luban_win_rate、kaiwu_eval_direnjie_win_ratekaiwu_luban_summoner_win_rate、kaiwu_direnjie_summoner_win_ratekaiwu_total_loss、kaiwu_value_loss、kaiwu_policy_loss、kaiwu_entropy_losskaiwu_value_loss_hp、kaiwu_value_loss_tower、kaiwu_value_loss_econ、kaiwu_value_loss_combatkaiwu_learning_rate、kaiwu_entropy_beta、kaiwu_grad_normkaiwu_sample_batch_size、kaiwu_train_stepkaiwu_reward（平台累积回报）、kaiwu_reward_sum（对局总回报）kaiwu_reward_hp、kaiwu_reward_tower、kaiwu_reward_econ、kaiwu_reward_combatkaiwu_episode_frame、kaiwu_episode_win_value监控页面是 Next.js RSC (React Server Components) 应用。页面 HTML 中嵌入了：
提取方法：用 curl 带认证头请求页面 URL，然后从 self.__next_f.push([1, "..."]) payload 中解析 JSON。
| 参数 | 值 |
|---|---|
| task_id | 189696 |
| task_uuid | 57738cce-5bfb-4183-8ab2-37b57bb407cb |
| team_id | 7203 |
| domain_id | 444 |
| exp_id | 11425 |
| algorithm | PPO |
| training_mode | Distributed |
| status | running |
model_id=\"selfplay\" 需要反斜杠转义