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統帥批准 4 項下階段候選之一完成: AI 容量預測.
新增 capacity_forecaster_job.py (~220 行):
每日 05:00 Taipei 跑預測 (02:00 scanner → 03:00 compliance →
04:00 Hermes → 05:00 forecaster 形成完整日鏈).
預測方法論 (MVP):
Prometheus predict_linear(metric[7d], 86400*7) — 基於過去 7d 做線性外推
3 個預測 query:
1. disk_saturation_7d: predict_linear(node_filesystem_avail_bytes[7d], 7d) < 0
2. mem_saturation_7d: predict_linear(MemAvailable[7d], 7d) / MemTotal < 10%
3. cpu_high_7d_trend: avg_over_time(cpu_used_pct[7d]) > 70%
發現高風險 host → 寫 aol(capacity_recommendation) + 推 Telegram
- input: host + horizon + findings count
- output: findings list + proposed_actions + requires_human_decision=true
proposed_actions 依 findings 推導:
- disk: 清理 log/docker/PG WAL 或擴容
- mem: top consumer / JVM 調整
- cpu: scale out / vCPU 擴充
統帥鐵律對齊:
✅ 只推建議不自動 scale up
✅ 7d window 有足夠樣本
✅ AI 預測 + 人工決策
未來 TODO:
- 真 Holt-Winters (含季節性) — 需 Python statsmodels
- 業務週期調整 (週一高峰/週末低谷)
Wire main.py lifespan asyncio.create_task()
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>