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import argparse
import json
import random
import statistics
import sys
import time
from dataclasses import asdict
from pathlib import Path
from typing import Callable
from sysadmin_env.tasks import hpc_ood_apache
from sysadmin_env.tasks import hpc_outage
GOLD_TRAJECTORY_OUTAGE = [
"sinfo",
"squeue",
"ssh compute-01",
"cat /etc/sysconfig/network-scripts/route-eth0",
f"printf '{hpc_outage.FIXED_ROUTE}' > /etc/sysconfig/network-scripts/route-eth0",
"systemctl restart slurmd",
"exit",
"curl -I http://localhost:8080/",
]
GOLD_TRAJECTORY_MUNGE = [
"sinfo",
"ssh compute-01",
"ls -l /etc/munge/munge.key",
f"printf '{hpc_outage.FIXED_ROUTE}' > /etc/sysconfig/network-scripts/route-eth0",
"chmod 0400 /etc/munge/munge.key",
"systemctl restart munge",
"systemctl restart slurmd",
"exit",
"curl -I http://localhost:8080/",
]
GOLD_TRAJECTORY_PID_STALE = [
"sinfo",
"squeue",
"ssh compute-01",
"systemctl status slurmd",
"cat /var/run/slurmd.pid",
"rm /var/run/slurmd.pid",
"systemctl restart slurmd",
"exit",
"curl -I http://localhost:8080/",
]
GOLD_TRAJECTORY_GPU_ECC = [
"sinfo",
"squeue",
"ssh compute-01",
"nvidia-smi",
"nvidia-smi -q -d ECC",
"nvidia-smi -r -i 0",
"exit",
"curl -I http://localhost:8080/",
]
GOLD_TRAJECTORY_NFS_STALE = [
"sinfo",
"squeue",
"ssh compute-01",
"mount",
"umount -l /mnt/shared",
"mount /mnt/shared",
"systemctl restart slurmd",
"exit",
"curl -I http://localhost:8080/",
]
GOLD_TRAJECTORY_OOD_APACHE = [
"sinfo",
"systemctl status httpd",
"cat /etc/httpd/conf/httpd.conf",
"apachectl configtest",
f"printf '{hpc_ood_apache.FIXED_HTTPD_CONF}' > /etc/httpd/conf/httpd.conf",
"apachectl configtest",
"apachectl graceful",
"curl -I http://localhost:8081/",
]
RANDOM_POOL = [
"sinfo",
"squeue",
"ssh compute-01",
"cat /etc/sysconfig/network-scripts/route-eth0",
f"printf '{hpc_outage.FIXED_ROUTE}' > /etc/sysconfig/network-scripts/route-eth0",
"echo garbage > /etc/sysconfig/network-scripts/route-eth0",
"systemctl restart slurmd",
"systemctl restart munge",
"chmod 0400 /etc/munge/munge.key",
"chmod 0777 /etc/munge/munge.key",
"cat /var/run/slurmd.pid",
"rm /var/run/slurmd.pid",
"nvidia-smi",
"nvidia-smi -r -i 0",
"mount",
"umount -l /mnt/shared",
"mount /mnt/shared",
"apachectl configtest",
f"printf '{hpc_ood_apache.FIXED_HTTPD_CONF}' > /etc/httpd/conf/httpd.conf",
"apachectl graceful",
"ls /mnt/shared",
"exit",
"curl -I http://localhost:8080/",
"curl -I http://localhost:8081/",
]
BAD_TRAJECTORY = [
"sinfo",
"squeue",
"ls -la /mnt/shared",
"cat /etc/hostname",
"exit",
]
def _env_factory(env_urls: list[str] | None, scenarios: list[str]) -> Callable:
if env_urls:
from training.remote_env import HttpEnterpriseHPCEnv
from training.remote_env import RemoteEndpointPool
pool = RemoteEndpointPool(env_urls)
def make_env():
return HttpEnterpriseHPCEnv(env_urls=env_urls, scenario_pool=scenarios, pool=pool)
return make_env
from hpc_gym import EnterpriseHPCEnv
def make_env():
return EnterpriseHPCEnv(scenario_pool=scenarios)
return make_env
def _run_policy(
name: str,
make_env: Callable,
scenarios: list[str],
actions_for: Callable[[str, random.Random], list[str]],
trials: int,
seed: int,
) -> list[dict]:
from training.rollout import run_fixed_policy
rng = random.Random(seed)
rows: list[dict] = []
for scenario in scenarios:
for trial in range(trials):
env = make_env()
try:
actions = actions_for(scenario, rng)
record = run_fixed_policy(env, actions, reset_options={"scenario": scenario})
rows.append(
{
"policy": name,
"scenario": scenario,
"trial": trial,
"reward": record.reward,
"steps": record.steps,
"terminated": record.terminated,
"grader_health": record.grader_health,
"ood_http_code": record.ood_http_code,
"task_id": record.task_id,
}
)
finally:
try:
env.close()
except Exception:
pass
return rows
def _summarize(rows: list[dict]) -> dict:
buckets: dict[tuple[str, str], list[dict]] = {}
for row in rows:
key = (row["policy"], row["scenario"])
buckets.setdefault(key, []).append(row)
summary: list[dict] = []
for (policy, scenario), items in sorted(buckets.items()):
rewards = [i["reward"] for i in items]
summary.append(
{
"policy": policy,
"scenario": scenario,
"n": len(items),
"solve_rate": sum(1 for i in items if i.get("terminated")) / len(items),
"reward_mean": statistics.fmean(rewards),
"steps_mean": statistics.fmean(i["steps"] for i in items),
"health_mean": statistics.fmean(i["grader_health"] for i in items),
}
)
return {"rows": rows, "summary": summary}
def _write_markdown(path: Path, summary: dict) -> None:
lines = [
"# EnterpriseHPC-v0 eval leaderboard",
"",
"| policy | scenario | n | solve_rate | reward_mean | steps_mean | health_mean |",
"| --- | --- | ---: | ---: | ---: | ---: | ---: |",
]
for row in summary["summary"]:
lines.append(
f"| {row['policy']} | {row['scenario']} | {row['n']} | "
f"{row['solve_rate']:.2f} | {row['reward_mean']:.2f} | "
f"{row['steps_mean']:.1f} | {row['health_mean']:.2f} |"
)
lines.append("")
lines.append(f"_generated_: unix_{int(time.time())}")
path.write_text("\n".join(lines))
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--trials", type=int, default=3)
parser.add_argument(
"--scenarios",
default="hpc_outage,hpc_munge,hpc_pid_stale,hpc_gpu_ecc,hpc_nfs_stale,hpc_ood_apache",
)
parser.add_argument("--policies", default="gold,random,bad")
parser.add_argument("--env-urls", nargs="+", default=None)
parser.add_argument("--seed", type=int, default=0)
parser.add_argument("--output-dir", default="./runs/eval")
args = parser.parse_args()
scenarios = [s.strip() for s in args.scenarios.split(",") if s.strip()]
policies = [p.strip() for p in args.policies.split(",") if p.strip()]
make_env = _env_factory(args.env_urls, scenarios)
def gold_actions(scenario: str, _: random.Random) -> list[str]:
if scenario == "hpc_munge":
return GOLD_TRAJECTORY_MUNGE
if scenario == "hpc_pid_stale":
return GOLD_TRAJECTORY_PID_STALE
if scenario == "hpc_gpu_ecc":
return GOLD_TRAJECTORY_GPU_ECC
if scenario == "hpc_nfs_stale":
return GOLD_TRAJECTORY_NFS_STALE
if scenario == "hpc_ood_apache":
return GOLD_TRAJECTORY_OOD_APACHE
return GOLD_TRAJECTORY_OUTAGE
def random_actions(_: str, rng: random.Random) -> list[str]:
return [rng.choice(RANDOM_POOL) for _ in range(12)]
def bad_actions(_: str, __: random.Random) -> list[str]:
return BAD_TRAJECTORY
policy_fns = {"gold": gold_actions, "random": random_actions, "bad": bad_actions}
rows: list[dict] = []
for policy in policies:
if policy not in policy_fns:
print(f"unknown policy {policy} skipping", file=sys.stderr)
continue
rows.extend(
_run_policy(
name=policy,
make_env=make_env,
scenarios=scenarios,
actions_for=policy_fns[policy],
trials=args.trials,
seed=args.seed + hash(policy) % 997,
)
)
summary = _summarize(rows)
out = Path(args.output_dir)
out.mkdir(parents=True, exist_ok=True)
(out / "eval.jsonl").write_text("\n".join(json.dumps(r) for r in rows) + "\n")
(out / "eval_summary.json").write_text(json.dumps(summary, indent=2))
_write_markdown(out / "leaderboard.md", summary)
for row in summary["summary"]:
print(
f"{row['policy']:<8} {row['scenario']:<12} n={row['n']:<3} "
f"solve={row['solve_rate']:.2f} reward={row['reward_mean']:.2f} "
f"steps={row['steps_mean']:.1f} health={row['health_mean']:.2f}"
)
print(f"\nartifacts written to {out}")
return 0
if __name__ == "__main__":
sys.exit(main())
|