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