335 lines
13 KiB
Python
Executable File
335 lines
13 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Plan and apply guarded self-healing actions from Jeannie status findings."""
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from __future__ import annotations
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import argparse
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import json
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import os
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import re
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import subprocess
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import sys
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import time
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from dataclasses import dataclass
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from pathlib import Path
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REPO_ROOT = Path(__file__).resolve().parents[1]
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DEFAULT_KUBECONFIG = Path(os.environ.get("KUBECONFIG", os.environ.get("LAB_KUBECONFIG_PATH", "/home/jv/.kube/config")))
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@dataclass(frozen=True)
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class HealRule:
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check: str
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command: str
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risk: str
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reason: str
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auto: bool
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priority: int
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RULES = [
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HealRule("Kubernetes API", "./jeannie start-cluster", "low", "API is down; start-cluster starts kubelet/containerd and worker VMs without destroying state.", True, 100),
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HealRule("Pimox workers running", "./jeannie start-cluster", "low", "Worker VMs are expected cluster capacity and start-cluster is idempotent.", True, 95),
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HealRule("Kubernetes nodes Ready", "./jeannie start-cluster", "low", "NotReady worker nodes commonly recover by starting the saved cluster runtime.", True, 90),
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HealRule("Pi-hole DNS", "./jeannie rpi-services", "medium", "Reapplies RPi DNS services; safe for the lab but can briefly disrupt DNS.", True, 80),
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HealRule("RPi Docker root state", "./jeannie rpi-services", "medium", "May repair service runtime but should be reviewed if storage is failing.", True, 78),
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HealRule("Uptime Kuma HTTP", "./jeannie rpi-services", "medium", "Reapplies RPi service Compose stack.", True, 70),
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HealRule("Gitea container", "./jeannie deploy-gitea", "medium", "Reapplies the Debian-hosted Gitea Compose service.", True, 75),
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HealRule("Gitea local HTTP", "./jeannie deploy-gitea", "medium", "Local Gitea HTTP is down; redeploying Compose is usually safe but still mutates Git service runtime.", True, 74),
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HealRule("Traefik deployment", "./jeannie promote validate", "diagnostic", "Validate gates first; deployment rollout failures are usually downstream of cluster/node health.", False, 65),
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HealRule("Website deployment", "./jeannie promote validate", "diagnostic", "Validate gates first; deployment rollout failures are usually downstream of cluster/node health.", False, 64),
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HealRule("Traefik LoadBalancer HTTP", "./jeannie doctor-edge", "diagnostic", "Edge/LB failures need diagnosis after cluster nodes are healthy.", False, 60),
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HealRule("Website public URL", "./jeannie doctor-edge", "diagnostic", "Public URL failures need edge and cluster diagnosis after local services recover.", False, 58),
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HealRule("Gitea public route", "./jeannie doctor-gitea", "diagnostic", "Public Gitea route needs Gitea and edge diagnosis.", False, 55),
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HealRule("No problem pods", "./jeannie explain status", "diagnostic", "Pod states need root-cause context; avoid blind deletes.", False, 50),
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HealRule("Recent deployments healthy", "./jeannie explain status", "diagnostic", "Deployment drift can be a symptom of node health, image pulls, or scheduling.", False, 45),
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HealRule("Pod restart pressure", "./jeannie explain status", "diagnostic", "Restart pressure needs workload-specific diagnosis before mutation.", False, 40),
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HealRule("Traefik 5xx/404 signals", "./jeannie doctor-edge", "diagnostic", "Use edge logs and route checks before changing config.", False, 35),
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]
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def load_status(path: Path | None) -> dict[str, object]:
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if path:
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return json.loads(path.read_text(encoding="utf-8"))
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process = subprocess.run(
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[str(REPO_ROOT / "jeannie"), "status", "--json"],
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cwd=REPO_ROOT,
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text=True,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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check=False,
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)
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if not process.stdout.strip():
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print(process.stderr.strip() or "status produced no JSON", file=sys.stderr)
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raise SystemExit(1)
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return json.loads(process.stdout)
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def status_rows(status: dict[str, object]) -> list[dict[str, str]]:
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rows = status.get("rows", [])
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if not isinstance(rows, list):
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return []
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return [row for row in rows if isinstance(row, dict) and row.get("status") in {"fail", "warn"}]
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def rule_for(row: dict[str, str]) -> HealRule | None:
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check = str(row.get("check", ""))
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for rule in RULES:
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if rule.check == check:
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return rule
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return None
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def pimox_worker_index(row: dict[str, str]) -> int | None:
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text = " ".join(str(row.get(key, "")) for key in ("summary", "detail", "check"))
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match = re.search(r"\bpimox-worker-(\d{1,2})\b", text)
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if not match:
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return None
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return int(match.group(1))
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def command_for(row: dict[str, str], rule: HealRule) -> tuple[str, str, int]:
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if rule.check == "Kubernetes nodes Ready":
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index = pimox_worker_index(row)
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if index is not None:
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return (
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f"./jeannie workers restart {index}",
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f"Restart Pimox VM for pimox-worker-{index:02d}; a running VM with a NotReady kubelet can be wedged.",
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98,
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)
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return rule.command, rule.reason, rule.priority
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def build_plan(status: dict[str, object]) -> list[dict[str, object]]:
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planned: list[dict[str, object]] = []
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seen_commands: set[str] = set()
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for row in status_rows(status):
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rule = rule_for(row)
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if rule is None:
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planned.append(
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{
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"check": row.get("check", ""),
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"area": row.get("area", ""),
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"status": row.get("status", ""),
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"command": "./jeannie explain status",
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"risk": "diagnostic",
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"auto": False,
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"priority": 1,
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"reason": "No specific heal rule exists yet.",
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"summary": row.get("summary", ""),
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}
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)
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continue
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command, reason, priority = command_for(row, rule)
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if command in seen_commands and rule.auto:
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continue
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seen_commands.add(command)
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planned.append(
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{
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"check": row.get("check", ""),
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"area": row.get("area", ""),
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"status": row.get("status", ""),
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"command": command,
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"risk": rule.risk,
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"auto": rule.auto,
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"priority": priority,
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"reason": reason,
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"summary": row.get("summary", ""),
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}
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)
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return planned
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def impact_sort_key(item: dict[str, object]) -> tuple[int, int, str]:
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status_score = 10 if item.get("status") == "fail" else 0
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return (int(item.get("priority") or 0) + status_score, 1 if item.get("auto") else 0, str(item.get("check") or ""))
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def highest_impact(plan: list[dict[str, object]], *, auto_only: bool) -> dict[str, object] | None:
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candidates = [item for item in plan if item.get("auto")] if auto_only else list(plan)
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if not candidates:
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return None
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return sorted(candidates, key=impact_sort_key, reverse=True)[0]
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def print_plan(plan: list[dict[str, object]], ai: bool) -> None:
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target = highest_impact(plan, auto_only=True)
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top_overall = highest_impact(plan, auto_only=False)
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deferred = [item for item in sorted(plan, key=impact_sort_key, reverse=True) if item is not target]
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print("Jeannie Heal Plan")
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print("=================")
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print("mode: one-at-a-time")
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print(f"findings={len(plan)}")
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print()
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if target:
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print("Next heal target:")
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print(f" command: {target['command']}")
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print(f" finding: {target['area']} / {target['check']} ({target['status']})")
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print(f" impact: {target['priority']}")
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print(f" why: {target['reason']}")
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else:
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print("Next heal target: none")
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if top_overall:
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print(f"highest finding is diagnostic-only: {top_overall['area']} / {top_overall['check']}")
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print(f"next diagnostic command: {top_overall['command']}")
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print()
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if deferred:
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print("Deferred until next status/heal cycle:")
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for item in deferred[:8]:
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auto_marker = "auto" if item.get("auto") else "diagnostic"
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print(f" - {item['area']} / {item['check']} ({auto_marker}, impact={item['priority']})")
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if ai:
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print_ai_context([target] if target else ([top_overall] if top_overall else []))
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def print_ai_context(plan: list[dict[str, object]]) -> None:
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query = " ".join(str(item["check"]) for item in plan[:5])
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if not query:
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return
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process = subprocess.run(
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[str(REPO_ROOT / "scripts" / "query-homelab-ai-index"), "--citations", "--limit", "3", query],
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cwd=REPO_ROOT,
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text=True,
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stdout=subprocess.PIPE,
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stderr=subprocess.DEVNULL,
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check=False,
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)
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if process.returncode == 0 and process.stdout.strip():
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print()
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print("AI/RAG Context")
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print("--------------")
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print(process.stdout.strip())
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def apply_plan(plan: list[dict[str, object]], yes: bool) -> int:
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target = highest_impact(plan, auto_only=True)
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if not target:
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print("No auto-eligible heal actions.")
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return 0
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print("Jeannie Heal Apply")
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print("==================")
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command = str(target["command"])
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sandbox = subprocess.run(
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[str(REPO_ROOT / "scripts" / "agent-sandbox"), "check", command, "--json"],
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cwd=REPO_ROOT,
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text=True,
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stdout=subprocess.PIPE,
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stderr=subprocess.STDOUT,
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check=False,
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)
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try:
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decision = json.loads(sandbox.stdout).get("decision")
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except json.JSONDecodeError:
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decision = "approval"
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if decision != "allow":
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print(f"skip: {command} blocked by agent sandbox decision={decision}")
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return 1
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print(f"target: {target['area']} / {target['check']}")
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if not yes:
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print(f"would run: {command}")
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else:
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print(f"run: {command}")
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process = subprocess.run(command.split(), cwd=REPO_ROOT, text=True, check=False)
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if process.returncode != 0:
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return process.returncode
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if verify_healed(target):
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print(f"healed: {target['area']} / {target['check']}")
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else:
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print(f"still failing: {target['area']} / {target['check']}")
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print("Run ./jeannie status --details for the current evidence.")
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return 1
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if not yes:
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print()
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print("Dry run only. Re-run with: ./jeannie heal apply --yes")
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print("After it runs, use ./jeannie status again before healing the next finding.")
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else:
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print("Run ./jeannie status again before healing the next finding.")
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return 0
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def verify_healed(target: dict[str, object]) -> bool:
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timeout = int(os.environ.get("LAB_HEAL_VERIFY_TIMEOUT_SECONDS", "180"))
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interval = int(os.environ.get("LAB_HEAL_VERIFY_INTERVAL_SECONDS", "10"))
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deadline = time.monotonic() + timeout
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while True:
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if target_is_healed(target):
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return True
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if time.monotonic() >= deadline:
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return False
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remaining = int(deadline - time.monotonic())
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print(f"waiting for heal verification ({max(remaining, 0)}s left)...")
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time.sleep(interval)
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def target_is_healed(target: dict[str, object]) -> bool:
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command = str(target.get("command") or "")
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worker_match = re.search(r"\bworkers\s+restart\s+(\d+)\b", command)
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if worker_match:
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return pimox_worker_ready(int(worker_match.group(1)))
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try:
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status = load_status(None)
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except SystemExit:
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return False
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area = str(target.get("area") or "")
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check = str(target.get("check") or "")
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for row in status_rows(status):
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if str(row.get("area") or "") == area and str(row.get("check") or "") == check:
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return False
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return True
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def pimox_worker_ready(index: int) -> bool:
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node_name = f"pimox-worker-{index:02d}"
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process = subprocess.run(
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[
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"kubectl",
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"--kubeconfig",
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str(DEFAULT_KUBECONFIG),
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"get",
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"node",
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node_name,
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"--no-headers",
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],
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cwd=REPO_ROOT,
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text=True,
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stdout=subprocess.PIPE,
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stderr=subprocess.DEVNULL,
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check=False,
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)
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if process.returncode != 0:
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return False
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parts = process.stdout.split()
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return len(parts) >= 2 and parts[1] == "Ready"
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def main() -> int:
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parser = argparse.ArgumentParser(description=__doc__)
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subparsers = parser.add_subparsers(dest="command", required=True)
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plan_parser = subparsers.add_parser("plan")
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plan_parser.add_argument("--status-json", type=Path)
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plan_parser.add_argument("--ai", action="store_true")
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apply_parser = subparsers.add_parser("apply")
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apply_parser.add_argument("--status-json", type=Path)
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apply_parser.add_argument("--yes", action="store_true")
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apply_parser.add_argument("--ai", action="store_true")
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args = parser.parse_args()
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status = load_status(getattr(args, "status_json", None))
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plan = build_plan(status)
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if args.command == "plan":
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print_plan(plan, args.ai)
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return 0
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if args.command == "apply":
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print_plan(plan, args.ai)
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print()
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return apply_plan(plan, args.yes)
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return 2
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if __name__ == "__main__":
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raise SystemExit(main())
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