54 lines
2.0 KiB
Python
54 lines
2.0 KiB
Python
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"""Извлечение полей для учёта алерта из тела вебхука Grafana (Unified Alerting)."""
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from __future__ import annotations
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import json
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from typing import Any
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def extract_alert_row_from_grafana_body(body: dict[str, Any]) -> tuple[str, str, dict[str, Any], str | None]:
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"""
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Возвращает: title, severity (info|warning|critical), labels (dict), fingerprint.
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"""
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title = str(body.get("title") or body.get("ruleName") or "").strip()[:500]
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alerts = body.get("alerts")
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labels: dict[str, Any] = {}
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fingerprint: str | None = None
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sev = "warning"
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if isinstance(alerts, list) and alerts and isinstance(alerts[0], dict):
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a0 = alerts[0]
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fp = a0.get("fingerprint")
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if fp is not None:
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fingerprint = str(fp)[:500]
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if isinstance(a0.get("labels"), dict):
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labels.update(a0["labels"])
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ann = a0.get("annotations")
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if isinstance(ann, dict) and not title:
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title = str(ann.get("summary") or ann.get("description") or "").strip()[:500]
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cl = body.get("commonLabels")
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if isinstance(cl, dict):
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for k, v in cl.items():
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labels.setdefault(k, v)
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if not title and isinstance(alerts, list) and alerts and isinstance(alerts[0], dict):
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title = str(alerts[0].get("labels", {}).get("alertname") or "").strip()[:500]
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raw_s = None
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if isinstance(labels.get("severity"), str):
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raw_s = labels["severity"].lower()
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elif isinstance(labels.get("priority"), str):
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raw_s = labels["priority"].lower()
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if raw_s in ("critical", "error", "fatal"):
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sev = "critical"
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elif raw_s in ("warning", "warn"):
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sev = "warning"
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elif raw_s in ("info", "informational", "none"):
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sev = "info"
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# JSONB: только JSON-совместимые значения
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clean_labels = {str(k): v for k, v in labels.items() if isinstance(v, (str, int, float, bool, type(None)))}
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return title, sev, clean_labels, fingerprint
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