OnCallVal / code /oncallval /world.py
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"""World model: builds runtime state from a task spec, derives metrics deterministically.
Everything the agent observes is derived from state. There are no scripted metric
curves: fix the state and the metrics follow. Randomness is seeded and stable
across processes (no builtin hash()).
"""
from __future__ import annotations
import copy
import hashlib
import json
def stable_hash(*parts) -> int:
h = hashlib.sha256("|".join(str(p) for p in parts).encode("utf-8")).digest()
return int.from_bytes(h[:8], "big")
def build_world(spec: dict) -> dict:
"""Deep-copy the static spec into a mutable runtime world."""
w = copy.deepcopy(spec)
w["t"] = 0.0 # minutes since sim start; alert fires at t=0
w["restarts"] = {}
w["report"] = None
w["drained_hosts"] = []
for name, svc in w["services"].items():
svc["initial_replicas"] = svc["replicas"]
svc["initial_version"] = svc["deploys"][-1]["version"]
svc["initial_config"] = copy.deepcopy(svc["config"])
return w
def current_version(w: dict, svc: str) -> str:
return w["services"][svc]["deploys"][-1]["version"]
def replicas_on_host(w: dict, svc: str, host: str) -> int:
hosts = w["services"][svc]["hosts"]
if not hosts:
return 0
# replicas are distributed round-robin over the host list
total = w["services"][svc]["replicas"]
if host not in hosts:
return 0
return total // len(hosts) + (1 if hosts.index(host) < total % len(hosts) else 0)
def frac_on_host(w: dict, svc: str, host: str) -> float:
total = w["services"][svc]["replicas"]
if total == 0:
return 0.0
return replicas_on_host(w, svc, host) / total
def contributions(w: dict) -> list[tuple[str, dict]]:
"""Yield (label, {svc: {error_pct, p99_ms, mem_pct}}) for every fault and decoy."""
from . import faults as F
out = []
for f in w["faults"]:
cls = F.FAULT_TYPES[f["type"]]
out.append((f["type"], cls.impact(w, f["params"])))
for d in w["decoys"]:
cls = F.DECOY_ALIASES[d["type"]]
out.append(("decoy:" + d["type"], cls.impact(w, d["params"])))
return out
def agg(w: dict, svc: str, key: str) -> float:
total = 0.0
for _, contrib in contributions(w):
total += contrib.get(svc, {}).get(key, 0.0)
return total
def metrics(w: dict, svc: str) -> dict:
s = w["services"][svc]
seed = w["seed"]
err = s["base_error_pct"] + agg(w, svc, "error_pct")
err += (stable_hash(seed, svc, w["t"] // 5, "err") % 100) / 10000.0
p99 = s["base_p99_ms"] + agg(w, svc, "p99_ms")
p99 += (stable_hash(seed, svc, w["t"] // 5, "p99") % 100) / 10.0
per_replica = s["runbook"].get("rps_per_replica", 150)
cpu = 70.0 * s["rps"] / max(1, s["replicas"] * per_replica)
cpu = min(99.0, cpu) + (stable_hash(seed, svc, "cpu") % 50) / 10.0
mem = 30.0 + agg(w, svc, "mem_pct")
mem = min(99.0, mem)
if s["kind"] == "external":
return {"status": s.get("status", "up")}
return {
"error_pct": round(err, 3),
"p99_ms": round(p99, 1),
"cpu_pct": round(cpu, 1),
"mem_pct": round(mem, 1),
"rps": s["rps"],
"slo_error_pct": s["slo_error_pct"],
"degraded": err > s["slo_error_pct"],
}
def per_host_metrics(w: dict, svc: str) -> dict:
out = {}
base = w["services"][svc]["base_error_pct"]
for h in w["services"][svc]["hosts"]:
if h in w["drained_hosts"] or not w["hosts"][h]["healthy"]:
e = 55.0
else:
e = base + agg(w, svc, "error_pct")
out[h] = {"replicas": replicas_on_host(w, svc, h), "error_pct": round(e, 2)}
return out
def fmt_clock(w: dict, t: float | None = None) -> str:
t = w["t"] if t is None else t
total = int(round(t))
hh, mm = 9 + (total // 60) % 24, total % 60
return f"{hh:02d}:{mm:02d}"
def log(w: dict, svc: str, level: str, msg: str) -> None:
w["events"].append({"t": round(w["t"], 1), "svc": svc, "level": level, "msg": msg})
def to_json(obj) -> str:
return json.dumps(obj, ensure_ascii=False, separators=(",", ":"))
def is_managed(w: dict, svc: str) -> bool:
s = w["services"].get(svc)
return bool(s and s["kind"] != "external")