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1028 lines
45 KiB
Python
1028 lines
45 KiB
Python
"""
|
||
HeartbeatReportService — ADR-073 心跳監控重構
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==============================================
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並行收集所有探測 → 彙整判斷 → 一份報告
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||
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設計原則:
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- 所有探測 asyncio.gather(return_exceptions=True)，任一失敗不影響其他
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- 只負責收集資料 + 組裝報告，不負責發送
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- 超時保護：每個探測最多 8 秒
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建立時間: 2026-04-12 (台北時區) ogt
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建立者: Claude Sonnet 4.6 — ADR-073 心跳重構
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"""
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import asyncio
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import html
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from dataclasses import dataclass, field
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from datetime import datetime
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from typing import Optional
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import httpx
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import structlog
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from src.core.config import get_settings
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from src.utils.timezone import now_taipei
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logger = structlog.get_logger(__name__)
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settings = get_settings()
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_PROBE_TIMEOUT = 8.0 # 每個探測最長 8 秒
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@dataclass
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class ProbeResult:
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ok: bool
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status: str # "✅ 正常" / "❌ 失敗: ..." / "⚠️ 警告: ..."
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latency_ms: Optional[float] = None
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@dataclass
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class FlywheelStats:
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playbook_count: int = 0
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success_24h: int = 0
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attempt_24h: int = 0
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km_total: int = 0
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km_vectorized: int = 0
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last_learning_at: Optional[datetime] = None
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||
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@dataclass
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class AlertPipelineStats:
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total_24h: int = 0
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auto_resolved_24h: int = 0
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pending_approval: int = 0
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pending_actionable: int = 0
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pending_observe_only: int = 0
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pending_without_telegram: int = 0
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execution_success_24h: int = 0
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execution_failed_24h: int = 0
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@dataclass
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class DbRedisStats:
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db_ok: bool = False
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db_status: str = "❌ 未查詢"
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redis_ok: bool = False
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redis_status: str = "❌ 未查詢"
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redis_key_count: int = 0
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||
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||
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@dataclass
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class PodInfo:
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name: str
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ready: bool
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status: str
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restarts: int = 0
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# 2026-05-03 Claude Opus 4.7 + 統帥 ogt：P0 #3 K8s pod state machine 完整化
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# 加 start_time 才能判斷 Pending/NotReady 是「剛起來合理」還是「卡住該告警」
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start_time: Optional[str] = None # ISO 8601 from .status.startTime
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@dataclass
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class ScannerStats:
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# key = scanner name, value = last run ISO string or None
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last_runs: dict[str, Optional[str]] = field(default_factory=dict)
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@dataclass
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class TelegramBotStats:
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polling_ok: bool = False
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status: str = "❌ 未查詢"
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last_callback_ago_min: Optional[float] = None
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||
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||
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@dataclass
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class AutomationStats:
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"""自動化六大能力今日統計（2026-04-24 ogt: Task 3 — 告警自動化可觀測性）"""
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# 自動規則生成
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auto_rule_generated_today: int = 0
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# 自動審核拒絕（按原因分組）
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reject_counts: dict[str, int] = field(default_factory=dict)
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# 今日 KM 新增
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km_created_today: int = 0
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# Config Drift 自動採納（今日）
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drift_adopted_today: int = 0
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@dataclass
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class HeartbeatReport:
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timestamp: datetime
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ai_services: dict[str, ProbeResult] = field(default_factory=dict)
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ollama_models: dict[str, bool] = field(default_factory=dict)
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ollama_endpoints: dict[str, ProbeResult] = field(default_factory=dict)
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mcp_providers: dict[str, ProbeResult] = field(default_factory=dict)
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flywheel: FlywheelStats = field(default_factory=FlywheelStats)
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infra: dict[str, ProbeResult] = field(default_factory=dict)
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warnings: list[str] = field(default_factory=list)
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# 2026-04-22 新增動態區塊
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alert_pipeline: AlertPipelineStats = field(default_factory=AlertPipelineStats)
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db_redis: DbRedisStats = field(default_factory=DbRedisStats)
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pods: list[PodInfo] = field(default_factory=list)
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scanners: ScannerStats = field(default_factory=ScannerStats)
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telegram_bot: TelegramBotStats = field(default_factory=TelegramBotStats)
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# 2026-04-24 自動化統計
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automation: AutomationStats = field(default_factory=AutomationStats)
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@property
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def has_warnings(self) -> bool:
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return len(self.warnings) > 0
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class HeartbeatReportService:
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"""
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心跳報告收集服務
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使用方式:
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report = await HeartbeatReportService().collect()
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text = report_to_telegram_html(report)
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"""
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async def collect(self) -> HeartbeatReport:
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"""並行收集所有探測，彙整為一份報告"""
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report = HeartbeatReport(timestamp=now_taipei())
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results = await asyncio.gather(
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self._probe_ollama(),
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self._probe_nemotron(),
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self._probe_gemini(),
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self._probe_claude(),
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self._probe_mcp_k8s(),
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self._probe_mcp_ssh(),
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self._probe_mcp_argocd(),
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self._probe_mcp_sentry(),
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self._probe_argocd_sync(),
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self._probe_velero(),
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self._get_flywheel_stats(),
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# 2026-04-22 新增動態探測
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self._get_alert_pipeline_stats(),
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self._probe_db_redis(),
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self._get_pod_status(),
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self._get_scanner_stats(),
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self._probe_telegram_bot(),
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# 2026-04-24 自動化統計
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self._get_automation_stats(),
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return_exceptions=True,
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)
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keys = [
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"_ollama", "_nemotron", "_gemini", "_claude",
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"_mcp_k8s", "_mcp_ssh", "_mcp_argocd", "_mcp_sentry",
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"_argocd_sync", "_velero", "_flywheel",
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"_alert_pipeline", "_db_redis", "_pods", "_scanners", "_tg_bot",
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"_automation",
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]
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collected: dict = {}
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for key, result in zip(keys, results):
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if isinstance(result, Exception):
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logger.warning("heartbeat_probe_error", probe=key, error=str(result))
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collected[key] = None
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else:
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collected[key] = result
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# --- AI 服務 ---
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ollama_data = collected["_ollama"] or {}
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report.ai_services["ollama"] = ollama_data.get("probe", ProbeResult(False, "❌ 無回應"))
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report.ollama_models = ollama_data.get("models", {})
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report.ollama_endpoints = ollama_data.get("endpoints", {})
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report.ai_services["nemotron"] = collected["_nemotron"] or ProbeResult(False, "❌ 無回應")
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report.ai_services["gemini"] = collected["_gemini"] or ProbeResult(False, "❌ 無回應")
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report.ai_services["claude"] = collected["_claude"] or ProbeResult(False, "❌ 無回應")
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# --- MCP Provider ---
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report.mcp_providers["k8s"] = collected["_mcp_k8s"] or ProbeResult(False, "❌ 無回應")
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report.mcp_providers["ssh"] = collected["_mcp_ssh"] or ProbeResult(False, "❌ 無回應")
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report.mcp_providers["argocd"] = collected["_mcp_argocd"] or ProbeResult(False, "❌ 無回應")
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report.mcp_providers["sentry"] = collected["_mcp_sentry"] or ProbeResult(False, "❌ 無回應")
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# --- 基礎設施 ---
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report.infra["argocd_sync"] = collected["_argocd_sync"] or ProbeResult(False, "❌ 無回應")
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report.infra["velero"] = collected["_velero"] or ProbeResult(False, "❌ 無回應")
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# --- 飛輪統計 ---
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if collected["_flywheel"]:
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report.flywheel = collected["_flywheel"]
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# --- 新動態區塊 ---
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if collected["_alert_pipeline"]:
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report.alert_pipeline = collected["_alert_pipeline"]
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if collected["_db_redis"]:
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report.db_redis = collected["_db_redis"]
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if collected["_pods"]:
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report.pods = collected["_pods"]
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if collected["_scanners"]:
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report.scanners = collected["_scanners"]
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if collected["_tg_bot"]:
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report.telegram_bot = collected["_tg_bot"]
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if collected["_automation"]:
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report.automation = collected["_automation"]
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||
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# --- 彙整 warnings ---
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report.warnings = self._build_warnings(report)
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||
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||
return report
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|
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# =========================================================================
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||
# 探測方法
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# =========================================================================
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||
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async def _probe_ollama(self) -> dict:
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"""探測 Ollama 服務 + 逐一確認所需模型"""
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endpoints = [
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("GCP-A", settings.OLLAMA_URL),
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("GCP-B", getattr(settings, "OLLAMA_SECONDARY_URL", "")),
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("111", getattr(settings, "OLLAMA_FALLBACK_URL", "")),
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]
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|
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async def _probe_endpoint(
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client: httpx.AsyncClient,
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label: str,
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url: str,
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||
) -> tuple[str, ProbeResult, set[str]]:
|
||
if not url:
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return label, ProbeResult(False, "⚠️ 未設定"), set()
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try:
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t0 = asyncio.get_event_loop().time()
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resp = await client.get(f"{url}/api/tags")
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latency = (asyncio.get_event_loop().time() - t0) * 1000
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if resp.status_code != 200:
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return label, ProbeResult(False, f"❌ HTTP {resp.status_code}", latency), set()
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available = {m["name"] for m in resp.json().get("models", [])}
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return label, ProbeResult(True, "✅ 正常", round(latency, 1)), available
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except Exception as e:
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return label, ProbeResult(False, f"❌ {str(e)[:60]}"), set()
|
||
|
||
async with httpx.AsyncClient(timeout=_PROBE_TIMEOUT) as client:
|
||
results = await asyncio.gather(
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*[_probe_endpoint(client, label, url) for label, url in endpoints],
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||
)
|
||
|
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endpoint_status = {label: probe for label, probe, _available in results}
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primary_probe = endpoint_status.get("GCP-A", ProbeResult(False, "❌ 無回應"))
|
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primary_available = next(
|
||
(available for label, _probe, available in results if label == "GCP-A"),
|
||
set(),
|
||
)
|
||
|
||
if primary_probe.ok:
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||
# 也把 short name（無 :tag）加進去方便匹配
|
||
available_short = {n.split(":")[0] for n in primary_available}
|
||
|
||
model_status: dict[str, bool] = {}
|
||
for required in settings.OLLAMA_REQUIRED_MODELS:
|
||
req_short = required.split(":")[0]
|
||
ok = required in primary_available or req_short in available_short
|
||
model_status[required] = ok
|
||
return {
|
||
"probe": primary_probe,
|
||
"models": model_status,
|
||
"endpoints": endpoint_status,
|
||
}
|
||
|
||
return {
|
||
"probe": primary_probe,
|
||
"models": {},
|
||
"endpoints": endpoint_status,
|
||
}
|
||
|
||
async def _probe_nemotron(self) -> ProbeResult:
|
||
"""探測 Nemotron NIM API"""
|
||
if not settings.NVIDIA_API_KEY:
|
||
return ProbeResult(False, "⚠️ NVIDIA_API_KEY 未設定")
|
||
try:
|
||
async with httpx.AsyncClient(timeout=_PROBE_TIMEOUT) as client:
|
||
t0 = asyncio.get_event_loop().time()
|
||
resp = await client.get(
|
||
"https://integrate.api.nvidia.com/v1/models",
|
||
headers={"Authorization": f"Bearer {settings.NVIDIA_API_KEY}"},
|
||
)
|
||
latency = (asyncio.get_event_loop().time() - t0) * 1000
|
||
if resp.status_code == 200:
|
||
return ProbeResult(True, "✅ 正常", round(latency, 1))
|
||
return ProbeResult(False, f"❌ HTTP {resp.status_code}")
|
||
except Exception as e:
|
||
return ProbeResult(False, f"❌ {str(e)[:60]}")
|
||
|
||
async def _probe_gemini(self) -> ProbeResult:
|
||
"""探測 Gemini API（只確認 key 有設定 + 能連線）"""
|
||
if not settings.GEMINI_API_KEY:
|
||
return ProbeResult(False, "⚠️ GEMINI_API_KEY 未設定")
|
||
try:
|
||
async with httpx.AsyncClient(timeout=_PROBE_TIMEOUT) as client:
|
||
t0 = asyncio.get_event_loop().time()
|
||
resp = await client.get(
|
||
"https://generativelanguage.googleapis.com/v1beta/models",
|
||
headers={"x-goog-api-key": settings.GEMINI_API_KEY},
|
||
)
|
||
latency = (asyncio.get_event_loop().time() - t0) * 1000
|
||
if resp.status_code == 200:
|
||
return ProbeResult(True, "✅ 正常", round(latency, 1))
|
||
return ProbeResult(False, f"❌ HTTP {resp.status_code}")
|
||
except Exception as e:
|
||
return ProbeResult(False, f"❌ {str(e)[:60]}")
|
||
|
||
async def _probe_claude(self) -> ProbeResult:
|
||
"""探測 Claude API"""
|
||
if not settings.CLAUDE_API_KEY:
|
||
return ProbeResult(False, "⚠️ CLAUDE_API_KEY 未設定")
|
||
try:
|
||
async with httpx.AsyncClient(timeout=_PROBE_TIMEOUT) as client:
|
||
t0 = asyncio.get_event_loop().time()
|
||
resp = await client.get(
|
||
"https://api.anthropic.com/v1/models",
|
||
headers={
|
||
"x-api-key": settings.CLAUDE_API_KEY,
|
||
"anthropic-version": "2023-06-01",
|
||
},
|
||
)
|
||
latency = (asyncio.get_event_loop().time() - t0) * 1000
|
||
if resp.status_code == 200:
|
||
return ProbeResult(True, "✅ 正常", round(latency, 1))
|
||
return ProbeResult(False, f"❌ HTTP {resp.status_code}")
|
||
except Exception as e:
|
||
return ProbeResult(False, f"❌ {str(e)[:60]}")
|
||
|
||
async def _probe_mcp_k8s(self) -> ProbeResult:
|
||
"""K8s MCP：確認 kubectl 能連到 K3s"""
|
||
try:
|
||
from src.plugins.mcp.providers.k8s_provider import K8sProvider
|
||
from src.plugins.mcp.registry import AuditedMCPToolProvider
|
||
from src.services.mcp_audit_context import with_mcp_audit_context
|
||
provider = AuditedMCPToolProvider(K8sProvider())
|
||
if not provider.enabled:
|
||
return ProbeResult(False, "⚠️ K8s MCP 未啟用")
|
||
params = with_mcp_audit_context(
|
||
{"resource_type": "nodes"},
|
||
session_id="heartbeat:mcp_k8s",
|
||
flywheel_node="govern",
|
||
agent_role="heartbeat_report_service",
|
||
gateway_path="legacy_heartbeat_provider",
|
||
)
|
||
result = await asyncio.wait_for(
|
||
provider.execute("kubectl_get", params),
|
||
timeout=_PROBE_TIMEOUT,
|
||
)
|
||
if result.success:
|
||
return ProbeResult(True, "✅ 正常")
|
||
return ProbeResult(False, f"⚠️ {result.error[:60] if result.error else '查詢失敗'}")
|
||
except asyncio.TimeoutError:
|
||
return ProbeResult(False, "❌ 超時")
|
||
except Exception as e:
|
||
return ProbeResult(False, f"❌ {str(e)[:60]}")
|
||
|
||
async def _probe_mcp_ssh(self) -> ProbeResult:
|
||
"""SSH MCP：確認設定是否完整"""
|
||
if not settings.SSH_MCP_ENABLED:
|
||
return ProbeResult(False, "⚠️ SSH_MCP_ENABLED=false")
|
||
# 確認 ssh-mcp-key Secret 是否掛載
|
||
import os
|
||
key_path = "/run/secrets/ssh_mcp_key"
|
||
if not os.path.exists(key_path):
|
||
return ProbeResult(False, "⚠️ ssh-mcp-key 未注入 K8s Secret")
|
||
return ProbeResult(True, "✅ 正常")
|
||
|
||
async def _probe_mcp_argocd(self) -> ProbeResult:
|
||
"""ArgoCD MCP：確認 token 設定"""
|
||
if not settings.ARGOCD_MCP_ENABLED:
|
||
return ProbeResult(False, "⚠️ ARGOCD_MCP_ENABLED=false")
|
||
if not settings.ARGOCD_API_TOKEN:
|
||
return ProbeResult(False, "⚠️ ARGOCD_API_TOKEN 未設定")
|
||
return ProbeResult(True, "✅ 設定完整")
|
||
|
||
async def _probe_mcp_sentry(self) -> ProbeResult:
|
||
"""Sentry MCP：確認設定"""
|
||
if not settings.SENTRY_MCP_ENABLED:
|
||
return ProbeResult(False, "⚠️ SENTRY_MCP_ENABLED=false")
|
||
# 確認 SENTRY_AUTH_TOKEN
|
||
sentry_token = getattr(settings, "SENTRY_AUTH_TOKEN", "") or ""
|
||
if not sentry_token:
|
||
return ProbeResult(False, "⚠️ SENTRY_AUTH_TOKEN 未設定")
|
||
return ProbeResult(True, "✅ 設定完整")
|
||
|
||
async def _probe_argocd_sync(self) -> ProbeResult:
|
||
"""ArgoCD 應用同步狀態"""
|
||
if not settings.ARGOCD_API_TOKEN:
|
||
return ProbeResult(False, "⚠️ 未設定 Token，無法查詢")
|
||
try:
|
||
async with httpx.AsyncClient(
|
||
timeout=_PROBE_TIMEOUT,
|
||
verify=False, # ArgoCD self-signed cert
|
||
) as client:
|
||
resp = await client.get(
|
||
f"{settings.ARGOCD_URL}/api/v1/applications/awoooi-prod",
|
||
headers={"Authorization": f"Bearer {settings.ARGOCD_API_TOKEN}"},
|
||
)
|
||
if resp.status_code != 200:
|
||
return ProbeResult(False, f"❌ HTTP {resp.status_code}")
|
||
data = resp.json()
|
||
sync_status = data.get("status", {}).get("sync", {}).get("status", "Unknown")
|
||
health_status = data.get("status", {}).get("health", {}).get("status", "Unknown")
|
||
if sync_status == "Synced" and health_status == "Healthy":
|
||
return ProbeResult(True, "✅ Synced + Healthy")
|
||
return ProbeResult(False, f"⚠️ {sync_status} / {health_status}")
|
||
except Exception as e:
|
||
return ProbeResult(False, f"❌ {str(e)[:60]}")
|
||
|
||
async def _probe_velero(self) -> ProbeResult:
|
||
"""Velero 備份：確認最後一次備份是否在 26 小時內"""
|
||
try:
|
||
from src.plugins.mcp.providers.k8s_provider import K8sProvider
|
||
from src.plugins.mcp.registry import AuditedMCPToolProvider
|
||
from src.services.mcp_audit_context import with_mcp_audit_context
|
||
provider = AuditedMCPToolProvider(K8sProvider())
|
||
if not provider.enabled:
|
||
return ProbeResult(False, "⚠️ K8s MCP 未啟用，無法查 Velero")
|
||
params = with_mcp_audit_context(
|
||
{
|
||
"resource_type": "backups.velero.io",
|
||
"namespace": "velero",
|
||
},
|
||
session_id="heartbeat:velero",
|
||
flywheel_node="govern",
|
||
agent_role="heartbeat_report_service",
|
||
gateway_path="legacy_heartbeat_provider",
|
||
)
|
||
result = await asyncio.wait_for(
|
||
provider.execute("kubectl_get", params),
|
||
timeout=_PROBE_TIMEOUT,
|
||
)
|
||
if not result.success:
|
||
return ProbeResult(False, "⚠️ 無法查詢 Velero 備份")
|
||
return ProbeResult(True, "✅ 可查詢")
|
||
except Exception as e:
|
||
return ProbeResult(False, f"❌ {str(e)[:60]}")
|
||
|
||
async def _get_flywheel_stats(self) -> FlywheelStats:
|
||
"""查詢飛輪核心統計數字"""
|
||
stats = FlywheelStats()
|
||
try:
|
||
# Playbook 數量（從 Redis SCAN）
|
||
from src.core.redis_client import get_redis
|
||
redis = get_redis()
|
||
keys = await redis.keys("playbook:*")
|
||
stats.playbook_count = len(keys)
|
||
except Exception as e:
|
||
logger.debug("heartbeat_playbook_count_failed", error=str(e))
|
||
|
||
try:
|
||
# KM 向量化率（DB 查詢）
|
||
from sqlalchemy import func, select
|
||
from sqlalchemy import text as sa_text
|
||
|
||
from src.db.base import get_db_context
|
||
from src.db.models import KnowledgeEntryRecord
|
||
async with get_db_context() as db:
|
||
# KM 總數
|
||
km_total = await db.scalar(select(func.count()).select_from(KnowledgeEntryRecord))
|
||
stats.km_total = km_total or 0
|
||
|
||
# KM 向量化數（embedding IS NOT NULL）
|
||
# KnowledgeEntryRecord ORM 無 embedding 欄位，改用 raw SQL
|
||
from sqlalchemy import text as sa_text
|
||
vec_result = await db.execute(
|
||
sa_text("SELECT COUNT(*) FROM knowledge_entries WHERE embedding IS NOT NULL")
|
||
)
|
||
stats.km_vectorized = vec_result.scalar() or 0
|
||
|
||
# 24h 修復統計
|
||
# 2026-05-06 ogt + Codex:
|
||
# incidents.outcome 已不是自動修復 source of truth。實際執行紀錄
|
||
# 寫在 auto_repair_executions；舊查詢會讓心跳報告顯示 0/15，
|
||
# 造成「全系統正常」但飛輪 KPI 失真的假象。
|
||
repair_result = await db.execute(
|
||
sa_text("""
|
||
SELECT
|
||
COUNT(*) FILTER (WHERE success IS TRUE) AS success,
|
||
COUNT(*) AS total
|
||
FROM auto_repair_executions
|
||
WHERE created_at >= NOW() - interval '24 hours'
|
||
""")
|
||
)
|
||
repair_row = repair_result.one()
|
||
stats.success_24h = int(repair_row.success or 0)
|
||
stats.attempt_24h = int(repair_row.total or 0)
|
||
|
||
# 最後學習活動
|
||
last_km = await db.scalar(
|
||
select(func.max(KnowledgeEntryRecord.created_at))
|
||
)
|
||
if last_km:
|
||
stats.last_learning_at = last_km
|
||
except Exception as e:
|
||
logger.debug("heartbeat_flywheel_stats_failed", error=str(e))
|
||
|
||
return stats
|
||
|
||
# =========================================================================
|
||
# 2026-04-22 新增動態探測方法
|
||
# =========================================================================
|
||
|
||
async def _get_alert_pipeline_stats(self) -> AlertPipelineStats:
|
||
"""查 24h 告警流水線統計（approval_records）"""
|
||
stats = AlertPipelineStats()
|
||
try:
|
||
from sqlalchemy import text as sa_text
|
||
|
||
from src.db.base import get_db_context
|
||
async with get_db_context() as db:
|
||
r = await db.execute(sa_text("""
|
||
WITH scoped AS (
|
||
SELECT
|
||
*,
|
||
(
|
||
COALESCE(extra_metadata->>'execution_kind', '') = 'no_action'
|
||
OR COALESCE(extra_metadata->>'repair_executed', '') = 'false'
|
||
OR btrim(coalesce(action, '')) = ''
|
||
OR UPPER(action) LIKE 'OBSERVE%'
|
||
OR UPPER(action) LIKE 'INVESTIGATE%'
|
||
OR UPPER(action) LIKE 'NO_ACTION%'
|
||
OR UPPER(action) LIKE '% NO_ACTION%'
|
||
OR UPPER(action) LIKE '%| NO_ACTION%'
|
||
) AS is_observe_only
|
||
FROM approval_records
|
||
WHERE created_at >= NOW() - interval '24 hours'
|
||
)
|
||
SELECT
|
||
COUNT(*) AS total,
|
||
COUNT(*) FILTER (WHERE UPPER(status::text) = 'PENDING') AS pending,
|
||
COUNT(*) FILTER (
|
||
WHERE UPPER(status::text) = 'PENDING'
|
||
AND NOT is_observe_only
|
||
) AS pending_actionable,
|
||
COUNT(*) FILTER (
|
||
WHERE UPPER(status::text) = 'PENDING'
|
||
AND is_observe_only
|
||
) AS pending_observe_only,
|
||
COUNT(*) FILTER (
|
||
WHERE UPPER(status::text) = 'PENDING'
|
||
AND telegram_message_id IS NULL
|
||
) AS pending_without_telegram,
|
||
COUNT(*) FILTER (
|
||
WHERE UPPER(status::text) = 'EXECUTION_SUCCESS'
|
||
AND NOT is_observe_only
|
||
) AS success,
|
||
COUNT(*) FILTER (
|
||
WHERE UPPER(status::text) = 'EXECUTION_FAILED'
|
||
AND NOT is_observe_only
|
||
) AS failed,
|
||
COUNT(*) FILTER (
|
||
WHERE UPPER(status::text) IN ('APPROVED','EXECUTION_SUCCESS','EXECUTION_FAILED')
|
||
AND NOT is_observe_only
|
||
) AS auto_resolved
|
||
FROM scoped
|
||
"""))
|
||
row = r.one()
|
||
stats.total_24h = int(row.total or 0)
|
||
stats.pending_approval = int(row.pending or 0)
|
||
stats.pending_actionable = int(row.pending_actionable or 0)
|
||
stats.pending_observe_only = int(row.pending_observe_only or 0)
|
||
stats.pending_without_telegram = int(row.pending_without_telegram or 0)
|
||
stats.execution_success_24h = int(row.success or 0)
|
||
stats.execution_failed_24h = int(row.failed or 0)
|
||
stats.auto_resolved_24h = int(row.auto_resolved or 0)
|
||
except Exception as e:
|
||
logger.debug("heartbeat_alert_pipeline_failed", error=str(e))
|
||
return stats
|
||
|
||
async def _probe_db_redis(self) -> DbRedisStats:
|
||
"""探測 PostgreSQL 與 Redis 連線健康"""
|
||
s = DbRedisStats()
|
||
try:
|
||
from sqlalchemy import text as sa_text
|
||
|
||
from src.db.base import get_db_context
|
||
async with get_db_context() as db:
|
||
await db.execute(sa_text("SELECT 1"))
|
||
s.db_ok = True
|
||
s.db_status = "✅ 正常"
|
||
except Exception as e:
|
||
s.db_status = f"❌ {str(e)[:40]}"
|
||
|
||
try:
|
||
from src.core.redis_client import get_redis
|
||
redis = get_redis()
|
||
info = await redis.info("memory")
|
||
used_mb = int(info.get("used_memory", 0)) // (1024 * 1024)
|
||
all_keys = await redis.dbsize()
|
||
s.redis_ok = True
|
||
s.redis_key_count = all_keys
|
||
s.redis_status = f"✅ 正常 {used_mb}MB / {all_keys} keys"
|
||
except Exception as e:
|
||
s.redis_status = f"❌ {str(e)[:40]}"
|
||
return s
|
||
|
||
async def _get_pod_status(self) -> list[PodInfo]:
|
||
"""查 awoooi-prod namespace 的所有 Pod 狀態
|
||
2026-05-03 Claude Opus 4.7 + 統帥 ogt：P0 #3 加抓 STARTTIME 才能做 K8s state machine 判斷
|
||
"""
|
||
pods: list[PodInfo] = []
|
||
try:
|
||
import subprocess
|
||
r = subprocess.run(
|
||
["kubectl", "-n", "awoooi-prod", "get", "pods",
|
||
"--no-headers", "-o",
|
||
"custom-columns=NAME:.metadata.name,READY:.status.containerStatuses[0].ready,"
|
||
"STATUS:.status.phase,RESTARTS:.status.containerStatuses[0].restartCount,"
|
||
"STARTTIME:.status.startTime"],
|
||
capture_output=True, text=True, timeout=8,
|
||
)
|
||
for line in r.stdout.strip().splitlines():
|
||
parts = line.split()
|
||
if len(parts) >= 3:
|
||
name = parts[0]
|
||
ready = parts[1].lower() == "true"
|
||
status = parts[2]
|
||
restarts = int(parts[3]) if len(parts) >= 4 and parts[3].isdigit() else 0
|
||
start_time = parts[4] if len(parts) >= 5 and parts[4] != "<none>" else None
|
||
pods.append(PodInfo(
|
||
name=name, ready=ready, status=status,
|
||
restarts=restarts, start_time=start_time,
|
||
))
|
||
except Exception as e:
|
||
logger.debug("heartbeat_pod_status_failed", error=str(e))
|
||
return pods
|
||
|
||
async def _get_scanner_stats(self) -> ScannerStats:
|
||
"""查各 scanner 最後執行時間（Redis daily lock key TTL 反推）"""
|
||
stats = ScannerStats()
|
||
scanner_names = [
|
||
"capacity_forecaster", "hermes_rule_quality",
|
||
"compliance_scanner", "coverage_evaluator", "daily_report",
|
||
]
|
||
try:
|
||
from src.core.redis_client import get_redis
|
||
from src.utils.timezone import now_taipei as _now
|
||
redis = get_redis()
|
||
today = _now().date().isoformat()
|
||
for name in scanner_names:
|
||
key = f"aiops:daily_lock:{name}:{today}"
|
||
ttl = await redis.ttl(key)
|
||
if ttl > 0:
|
||
# TTL=25h 時剛跑完；剩餘 TTL 推算跑完時間
|
||
ran_at_sec = 25 * 3600 - ttl
|
||
h, m = divmod(ran_at_sec // 60, 60)
|
||
stats.last_runs[name] = f"今日 {h:02d}:{m:02d}"
|
||
else:
|
||
stats.last_runs[name] = None # 今日尚未執行
|
||
except Exception as e:
|
||
logger.debug("heartbeat_scanner_stats_failed", error=str(e))
|
||
return stats
|
||
|
||
async def _probe_telegram_bot(self) -> TelegramBotStats:
|
||
"""探測 Telegram Bot polling 狀態"""
|
||
s = TelegramBotStats()
|
||
try:
|
||
from src.core.redis_client import get_redis
|
||
redis = get_redis()
|
||
# polling leader lock
|
||
leader = await redis.get("telegram:polling:leader")
|
||
if leader:
|
||
s.polling_ok = True
|
||
s.status = f"✅ Polling 活躍 (leader: {leader.decode()[:20] if isinstance(leader, bytes) else str(leader)[:20]})"
|
||
else:
|
||
# 嘗試查最近 callback 時間（tg_msg: key 存在即有活動）
|
||
keys = await redis.keys("tg_msg:*")
|
||
if keys:
|
||
s.polling_ok = True
|
||
s.status = f"✅ 有活動 ({len(keys)} msg keys)"
|
||
else:
|
||
s.status = "⚠️ 無 polling leader key（可能重啟中）"
|
||
except Exception as e:
|
||
s.status = f"❌ {str(e)[:40]}"
|
||
return s
|
||
|
||
async def _get_automation_stats(self) -> AutomationStats:
|
||
"""查自動化六大能力今日統計（Redis 計數器 + DB）
|
||
|
||
2026-04-24 ogt: Task 3 — 告警自動化可觀測性建設
|
||
資料來源:
|
||
- stats:auto_rule_generated:{today} — 自動規則生成計數（alert_rule_engine.py 寫入）
|
||
- stats:auto_approve_rejected:{reason}:{today} — 拒絕自動審核原因分布
|
||
- knowledge_entries 今日新增（DB）
|
||
- approval_records drift_adopted 今日（DB）
|
||
"""
|
||
stats = AutomationStats()
|
||
try:
|
||
from src.core.redis_client import get_redis
|
||
redis = get_redis()
|
||
today = now_taipei().strftime("%Y%m%d")
|
||
|
||
# 自動規則生成今日計數
|
||
raw = await redis.get(f"stats:auto_rule_generated:{today}")
|
||
stats.auto_rule_generated_today = int(raw) if raw else 0
|
||
|
||
# 自動審核拒絕原因分布
|
||
reject_keys = await redis.keys(f"stats:auto_approve_rejected:*:{today}")
|
||
for key in reject_keys:
|
||
key_str = key.decode() if isinstance(key, bytes) else key
|
||
# key 格式：stats:auto_approve_rejected:{reason}:{today}
|
||
parts = key_str.split(":")
|
||
reason_part = parts[2] if len(parts) >= 4 else key_str
|
||
count_raw = await redis.get(key_str)
|
||
stats.reject_counts[reason_part] = int(count_raw) if count_raw else 0
|
||
except Exception as e:
|
||
logger.debug("heartbeat_automation_redis_failed", error=str(e))
|
||
|
||
try:
|
||
from sqlalchemy import text as sa_text
|
||
|
||
from src.db.base import get_db_context
|
||
async with get_db_context() as db:
|
||
# 今日新增 KM（timestamptz 直接比較，不需 AT TIME ZONE）
|
||
km_today = await db.scalar(sa_text(
|
||
"SELECT COUNT(*) FROM knowledge_entries "
|
||
"WHERE created_at >= NOW() - interval '24 hours'"
|
||
))
|
||
stats.km_created_today = int(km_today or 0)
|
||
|
||
# 今日 Config Drift 自動採納（查 drift_reports，adopt() 在此表更新 status）
|
||
drift_today = await db.scalar(sa_text(
|
||
"SELECT COUNT(*) FROM drift_reports "
|
||
"WHERE status = 'adopted' "
|
||
"AND resolved_at >= NOW() - interval '24 hours'"
|
||
))
|
||
stats.drift_adopted_today = int(drift_today or 0)
|
||
except Exception as e:
|
||
logger.debug("heartbeat_automation_db_failed", error=str(e))
|
||
|
||
return stats
|
||
|
||
# =========================================================================
|
||
# Warnings 彙整
|
||
# =========================================================================
|
||
|
||
def _build_warnings(self, report: HeartbeatReport) -> list[str]:
|
||
warnings: list[str] = []
|
||
|
||
# Ollama 模型未載入
|
||
for model, loaded in report.ollama_models.items():
|
||
if not loaded:
|
||
warnings.append(f"{model} 未載入，相關功能失效")
|
||
|
||
for name, probe in report.ollama_endpoints.items():
|
||
if not probe.ok and not probe.status.startswith("⚠️ 未設定"):
|
||
warnings.append(f"Ollama {name} 異常: {probe.status}")
|
||
|
||
# AI 服務異常
|
||
for name, probe in report.ai_services.items():
|
||
if not probe.ok and not probe.status.startswith("⚠️"):
|
||
warnings.append(f"{name} 服務異常: {probe.status}")
|
||
|
||
# MCP 設定問題
|
||
for name, probe in report.mcp_providers.items():
|
||
if not probe.ok:
|
||
warnings.append(f"MCP {name}: {probe.status}")
|
||
|
||
# ArgoCD 非 Synced+Healthy
|
||
argocd = report.infra.get("argocd_sync")
|
||
if argocd and not argocd.ok:
|
||
warnings.append(f"ArgoCD: {argocd.status}")
|
||
|
||
# 飛輪警告
|
||
if report.flywheel.playbook_count == 0:
|
||
warnings.append("Playbook 數量為 0，飛輪學習無法啟動")
|
||
if report.flywheel.km_total > 0:
|
||
vec_rate = report.flywheel.km_vectorized / report.flywheel.km_total
|
||
if vec_rate < 0.8:
|
||
warnings.append(
|
||
f"KM 向量化率偏低: {report.flywheel.km_vectorized}/{report.flywheel.km_total}"
|
||
f" ({int(vec_rate*100)}%)"
|
||
)
|
||
|
||
# 24h 沉默（無學習活動）— 2h 太短，正常無事故期間必然誤報
|
||
if report.flywheel.last_learning_at:
|
||
silence_hours = (now_taipei() - report.flywheel.last_learning_at.replace(
|
||
tzinfo=report.timestamp.tzinfo if report.timestamp.tzinfo else None
|
||
)).total_seconds() / 3600
|
||
if silence_hours > 24:
|
||
warnings.append(f"系統沉默 {silence_hours:.1f}h（無學習活動）")
|
||
|
||
# DB / Redis 異常
|
||
if not report.db_redis.db_ok:
|
||
warnings.append(f"PostgreSQL: {report.db_redis.db_status}")
|
||
if not report.db_redis.redis_ok:
|
||
warnings.append(f"Redis: {report.db_redis.redis_status}")
|
||
|
||
# Pending 積壓告警：只用可執行/有風險受控補證計數觸發，避免 OBSERVE/NO_ACTION 觀察卡造成假待辦。
|
||
if report.alert_pipeline.pending_actionable > 10:
|
||
warnings.append(
|
||
f"AI 受控隊列待補證 {report.alert_pipeline.pending_actionable} 筆"
|
||
f"（前台 /awooop/approvals；觀察類 {report.alert_pipeline.pending_observe_only} 筆另列）"
|
||
)
|
||
|
||
# Pod 異常 — 2026-05-03 Claude Opus 4.7 + 統帥 ogt：P0 #3 完整 K8s pod state machine
|
||
# K8s pod phases (https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/):
|
||
# Pending — 已建立但容器還沒起（短暫 OK，>5min 異常 = image pull / scheduling 卡）
|
||
# Running — 至少 1 容器跑中（ready=False 短暫 OK，>2min 異常 = probe fail）
|
||
# Succeeded — 全容器成功結束（CronJob/Job 正常，不算未就緒）
|
||
# Failed — 全容器結束，至少 1 fail（必告警）
|
||
# Unknown — 狀態無法取得（必告警）
|
||
from datetime import datetime, timezone
|
||
_now = datetime.now(timezone.utc)
|
||
_PENDING_THRESHOLD_MIN = 5
|
||
_NOT_READY_THRESHOLD_MIN = 2
|
||
|
||
def _age_minutes(start_time: Optional[str]) -> Optional[float]:
|
||
"""ISO 8601 startTime → 距今分鐘。None 或解析失敗返 None。"""
|
||
if not start_time:
|
||
return None
|
||
try:
|
||
# K8s startTime 格式：2026-05-03T12:34:56Z
|
||
dt = datetime.fromisoformat(start_time.replace("Z", "+00:00"))
|
||
return (_now - dt).total_seconds() / 60.0
|
||
except (ValueError, TypeError):
|
||
return None
|
||
|
||
for pod in report.pods:
|
||
phase = pod.status
|
||
age_min = _age_minutes(pod.start_time)
|
||
|
||
# restart 次數高無論 phase 都告警（CrashLoop 中或跑完都值得追）
|
||
# 放最前面，避免後面 continue 跳過
|
||
if pod.restarts >= 3:
|
||
warnings.append(f"Pod {pod.name} 重啟 {pod.restarts} 次")
|
||
|
||
if phase in ("Succeeded", "Completed"):
|
||
# CronJob/Job 成功跑完，ready=False 是設計，phase 部分不算未就緒
|
||
continue
|
||
elif phase == "Failed":
|
||
# 真正失敗 — 一定告警
|
||
warnings.append(f"Pod {pod.name} Failed")
|
||
elif phase == "Unknown":
|
||
warnings.append(f"Pod {pod.name} 狀態 Unknown")
|
||
elif phase == "Pending":
|
||
# 短暫 Pending OK；持續 >5min 表示 image pull / scheduling 卡住
|
||
if age_min is None or age_min >= _PENDING_THRESHOLD_MIN:
|
||
age_str = f"{age_min:.0f}m" if age_min else "未知"
|
||
warnings.append(f"Pod {pod.name} 持續 Pending {age_str}（image pull / scheduling 卡住）")
|
||
elif phase == "Running" and not pod.ready:
|
||
# Running 但 not ready：短暫 OK（剛起）；>2min 表示 probe fail / 啟動慢
|
||
if age_min is None or age_min >= _NOT_READY_THRESHOLD_MIN:
|
||
age_str = f"{age_min:.0f}m" if age_min else "未知"
|
||
warnings.append(f"Pod {pod.name} NotReady {age_str}（readiness probe fail / 啟動異常）")
|
||
# Running + ready=True 是健康狀態，跳過
|
||
|
||
return warnings
|
||
|
||
|
||
def report_to_telegram_html(report: HeartbeatReport) -> str:
|
||
"""
|
||
將 HeartbeatReport 轉換為 Telegram HTML 格式
|
||
|
||
ADR-075 TYPE-1 格式 (2026-04-12 ogt):
|
||
💚 INFO | AWOOOI 系統報告 + ├─/└─ 樹狀結構
|
||
"""
|
||
ts = report.timestamp.strftime("%Y-%m-%d %H:%M (台北)")
|
||
overall_ok = not report.warnings
|
||
|
||
header_icon = "💚" if overall_ok else "⚠️"
|
||
header_label = "全系統正常" if overall_ok else f"需關注 {len(report.warnings)} 項"
|
||
|
||
lines = [
|
||
f"{header_icon} <b>INFO | AWOOOI 系統報告</b>",
|
||
f"⏰ {ts}",
|
||
"──────────────────────",
|
||
"",
|
||
]
|
||
|
||
# --- AI 服務 ---
|
||
ollama = report.ai_services.get("ollama", ProbeResult(False, "❌"))
|
||
ollama_lat = f" {ollama.latency_ms:.0f}ms" if ollama.latency_ms else ""
|
||
models_ok = [m.split(":")[0] for m, ok in report.ollama_models.items() if ok]
|
||
models_str = " / ".join(models_ok) if models_ok else "無模型"
|
||
nem = report.ai_services.get("nemotron", ProbeResult(False, "❌"))
|
||
gem = report.ai_services.get("gemini", ProbeResult(False, "❌"))
|
||
cla = report.ai_services.get("claude", ProbeResult(False, "❌"))
|
||
|
||
lines.append("🤖 <b>AI 服務</b>")
|
||
lines.append(f"├─ Ollama: {ollama.status}{ollama_lat} <code>{html.escape(models_str)}</code>")
|
||
if report.ollama_endpoints:
|
||
endpoint_items = list(report.ollama_endpoints.items())
|
||
for idx, (name, probe) in enumerate(endpoint_items):
|
||
branch = "└" if idx == len(endpoint_items) - 1 else "├"
|
||
latency = f" {probe.latency_ms:.0f}ms" if probe.latency_ms else ""
|
||
lines.append(f"│ {branch}─ {html.escape(name)}: {probe.status}{latency}")
|
||
lines.append(f"├─ Nemotron NIM: {nem.status}" + (f" {nem.latency_ms:.0f}ms" if nem.latency_ms else ""))
|
||
lines.append(f"├─ Gemini API: {gem.status}" + (f" {gem.latency_ms:.0f}ms" if gem.latency_ms else ""))
|
||
lines.append(f"└─ Claude API: {cla.status}" + (f" {cla.latency_ms:.0f}ms" if cla.latency_ms else ""))
|
||
lines.append("")
|
||
|
||
# --- MCP Provider ---
|
||
k8s = report.mcp_providers.get("k8s", ProbeResult(False, "❌"))
|
||
ssh = report.mcp_providers.get("ssh", ProbeResult(False, "❌"))
|
||
argocd_mcp = report.mcp_providers.get("argocd", ProbeResult(False, "❌"))
|
||
sentry_mcp = report.mcp_providers.get("sentry", ProbeResult(False, "❌"))
|
||
|
||
lines.append("🔌 <b>MCP Provider</b>")
|
||
lines.append(f"├─ K8s: {k8s.status} SSH: {ssh.status}")
|
||
lines.append(f"└─ ArgoCD: {argocd_mcp.status} Sentry: {sentry_mcp.status}")
|
||
lines.append("")
|
||
|
||
# --- 飛輪狀態 ---
|
||
fw = report.flywheel
|
||
if fw.attempt_24h > 0:
|
||
rate = int(fw.success_24h / fw.attempt_24h * 100)
|
||
repair_str = f"{fw.success_24h}/{fw.attempt_24h} ({rate}%)"
|
||
else:
|
||
repair_str = "0 次"
|
||
km_str = ""
|
||
if fw.km_total > 0:
|
||
vec_rate = int(fw.km_vectorized / fw.km_total * 100)
|
||
km_icon = "✅" if vec_rate >= 90 else "⚠️"
|
||
km_str = f"KM: {km_icon} {fw.km_vectorized}/{fw.km_total} ({vec_rate}%)"
|
||
learn_str = f" 學習: {fw.last_learning_at.strftime('%H:%M')}" if fw.last_learning_at else ""
|
||
|
||
lines.append("🔄 <b>飛輪狀態（24h）</b>")
|
||
lines.append(f"├─ Playbooks: {fw.playbook_count} 修復: {repair_str}")
|
||
lines.append(f"└─ {km_str}{learn_str}" if km_str or learn_str else "└─ KM 統計不可用")
|
||
lines.append("")
|
||
|
||
# --- 基礎設施 ---
|
||
argocd = report.infra.get("argocd_sync", ProbeResult(False, "❌"))
|
||
velero = report.infra.get("velero", ProbeResult(False, "❌"))
|
||
|
||
lines.append("🚀 <b>基礎設施</b>")
|
||
lines.append(f"├─ ArgoCD: {argocd.status}")
|
||
lines.append(f"└─ Velero: {velero.status}")
|
||
|
||
# --- 告警流水線 ---
|
||
ap = report.alert_pipeline
|
||
lines.append("")
|
||
lines.append("📊 <b>告警流水線（24h）</b>")
|
||
lines.append(f"├─ 總計: {ap.total_24h} PENDING: {ap.pending_approval}")
|
||
lines.append(
|
||
f"├─ 受控拆分: 補證 {ap.pending_actionable} 觀察 {ap.pending_observe_only}"
|
||
f" 無TG {ap.pending_without_telegram}"
|
||
)
|
||
if ap.execution_success_24h > 0 and ap.execution_failed_24h == 0:
|
||
exec_icon = "✅"
|
||
elif ap.execution_failed_24h > 0:
|
||
exec_icon = "⚠️"
|
||
else:
|
||
exec_icon = "—"
|
||
lines.append(f"└─ 執行: {exec_icon} 成功 {ap.execution_success_24h} 失敗 {ap.execution_failed_24h}")
|
||
|
||
# --- DB & Redis ---
|
||
dr = report.db_redis
|
||
lines.append("")
|
||
lines.append("🗄️ <b>資料庫 & Redis</b>")
|
||
lines.append(f"├─ PostgreSQL: {dr.db_status}")
|
||
lines.append(f"└─ Redis: {dr.redis_status} Keys: {dr.redis_key_count}")
|
||
|
||
# --- K8s Pods ---
|
||
if report.pods:
|
||
lines.append("")
|
||
lines.append("☸️ <b>Kubernetes Pods</b>")
|
||
for i, pod in enumerate(report.pods):
|
||
prefix = "└─" if i == len(report.pods) - 1 else "├─"
|
||
ready_icon = "✅" if pod.ready or pod.status in ("Succeeded", "Completed") else "❌"
|
||
restart_str = f" (重啟×{pod.restarts})" if pod.restarts > 0 else ""
|
||
status_str = "" if pod.ready else f" <code>{html.escape(pod.status)}</code>"
|
||
lines.append(f"{prefix} {ready_icon} {html.escape(pod.name[:35])}{restart_str}{status_str}")
|
||
|
||
# --- Scanner 狀態 ---
|
||
if report.scanners.last_runs:
|
||
lines.append("")
|
||
lines.append("⏱️ <b>Scanner 狀態（今日）</b>")
|
||
scanner_items = list(report.scanners.last_runs.items())
|
||
for i, (name, ran_at) in enumerate(scanner_items):
|
||
prefix = "└─" if i == len(scanner_items) - 1 else "├─"
|
||
icon = "✅" if ran_at else "⏸️"
|
||
ran_str = ran_at or "尚未執行"
|
||
lines.append(f"{prefix} {icon} {html.escape(name)}: {ran_str}")
|
||
|
||
# --- Telegram Bot ---
|
||
tg = report.telegram_bot
|
||
lines.append("")
|
||
lines.append("🤖 <b>Telegram Bot</b>")
|
||
lines.append(f"└─ {tg.status}")
|
||
|
||
# --- 自動化統計（2026-04-24）---
|
||
auto = report.automation
|
||
lines.append("")
|
||
lines.append("⚙️ <b>自動化統計（今日）</b>")
|
||
lines.append(f"├─ 新規則自動生成: {auto.auto_rule_generated_today} 條")
|
||
lines.append(f"├─ KM 新增: {auto.km_created_today} 條")
|
||
lines.append(f"├─ Drift 自動採納: {auto.drift_adopted_today} 筆")
|
||
if auto.reject_counts:
|
||
reject_total = sum(auto.reject_counts.values())
|
||
top_reason = max(auto.reject_counts, key=auto.reject_counts.get) # type: ignore[arg-type]
|
||
lines.append(
|
||
f"└─ 受控補證攔截: {reject_total} 次 主因: <code>{html.escape(top_reason)}</code>"
|
||
)
|
||
else:
|
||
lines.append("└─ 受控補證攔截: 0 次")
|
||
|
||
# --- Warnings / 總結 ---
|
||
lines.append("")
|
||
if report.warnings:
|
||
lines.append(f"⚠️ <b>需關注（{len(report.warnings)} 項）</b>")
|
||
for w in report.warnings[:-1]:
|
||
lines.append(f"├─ {html.escape(w)}")
|
||
lines.append(f"└─ {html.escape(report.warnings[-1])}")
|
||
else:
|
||
lines.append(f"✅ <b>{header_label}</b>")
|
||
|
||
return "\n".join(lines)
|