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44084af | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 | """Acceptance gate for expert tasks: oracle 1.0 on three fresh graders (determinism), alternative solver 1.0,
nop 0.0 with progress 0, partial band, q_pristine checks, adversary bands, text lint, leak scan, grader time,
the scraped-world lint (scrapelint.py) and every accepted variant at 1.0 on the whole task."""
from __future__ import annotations
import codecs
import json
import os
import re
import shutil
import tempfile
import time
from ..grader.xgrade import ExpertGrader
from . import solutions
from .build import grade_map, state_map, write_tests
SWEEP_SLACK = 0.05
# Words that give generated text away (spec §7.4). Kept rot13-encoded so this file does not carry them.
BANNED = [codecs.decode(w, "rot13") for w in (
'qryir',
'ebohfg',
'frnzyrff',
'yrirentr',
'pbzcerurafvir',
"vg'f jbegu abgvat",
'rafher gung',
'va beqre gb',
'NV',
'nffvfgnag',
'YYZ',
'Pynhqr',
'Naguebcvp',
'TCG',
'ynathntr zbqry',
'(?<!hfre-)ntrag')]
CASED = {codecs.decode(w, "rot13") for w in ("NV", "YYZ", "TCG")}
def lint(texts: dict[str, str]) -> list[str]:
out = []
for path, text in texts.items():
for pat in BANNED:
flags = 0 if pat in CASED else re.I
if re.search(rf"\b{pat}\b", text, flags):
out.append(f"banned word /{pat}/ in {path}")
return out
def leak_scan(m: dict) -> list[str]:
text = "\n".join(m["pristine_map"].values())
found = []
for bad in ("spec.json", "scenarios.json", "af_snap", "af_check", "q_pristine"):
if bad in text:
found.append(f"literal {bad!r} in the workspace")
pods = set()
for g in m["groups"]:
for s in g["input_series"]:
if len(s["values"]) > 40 and s["values"] in text:
found.append(f"hidden series values visible ({g['name']})")
for mm in re.finditer(r'pod="([^"]+)"', s["series"]):
pods.add(mm.group(1))
for p in pods:
if p in text:
found.append(f"hidden pod name visible: {p}")
return found
_RULE_LINE = re.compile(r"\s*- (alert|record): ['\"]?([A-Za-z_:][A-Za-z0-9_:]*)")
def comment_share(pmap: dict, touch: set) -> tuple[int, int, int, int]:
"""(comments above touched rules, comments above any rule, touched rules, rules) in the rule files."""
on_t = on_all = n_t = n_all = 0
for path, text in pmap.items():
if not path.startswith("rules/"):
continue
prev_comment = False
for line in text.splitlines():
if line.strip().startswith("#"):
prev_comment = True
continue
mm = _RULE_LINE.match(line)
if mm:
hit = mm.group(2) in touch
n_all += 1
n_t += hit
if prev_comment:
on_all += 1
on_t += hit
prev_comment = False
return on_t, on_all, n_t, n_all
def comment_lint(m: dict) -> list[str]:
"""Rationale comments must not cluster on the rules the queue is about (a grep for comments is no map)."""
touch = set().union(*[it.touch for it in m["items"]]) if m["items"] else set()
on_t, on_all, n_t, n_all = comment_share(m["pristine_map"], touch)
if on_all and n_all and on_t / on_all > n_t / n_all + 0.20:
return [f"comments cluster on touched rules: {on_t}/{on_all} vs {n_t}/{n_all} rules touched"]
return []
def variant_sweep(m: dict, codes: set | None = None, slack: float = SWEEP_SLACK) -> list[str]:
"""RT-5: every declared-wrong variant of every item, applied on top of the oracle, keeps the item's `s` at or
below the bound the variant declares (+ slack), and the item left untouched is never solved. Each item is
graded on its own requirement and scenario groups (the other requirements cannot change its q), one grader
per item."""
out = []
w = m["world"]
for it in m["items"]:
if codes is not None and it.code not in codes:
continue
wrong = [(n, fn, exp) for n, fn, exp in it.variants(w) if exp != "accept"]
if not wrong:
continue
r = next(x for x in m["spec"]["requirements"] if x["id"] == it.rid)
spec = {**m["spec"], "requirements": [r], "preserve": {}, "kept": []}
d = tempfile.mkdtemp(prefix="af-sweep-")
try:
write_tests(d, spec, [g for g in m["groups"] if g["req"] == it.rid])
grader = ExpertGrader(spec, os.path.join(d, "hidden"))
for name, fn, bound in wrong:
files, am, _ = solutions.variant_state(m, it, fn)
_, det = grade_map(spec, d, {**m["static"], **state_map(files, am)}, grader)
s = det["requirements"][it.rid]["s"]
if name == "pristine":
# the item left as it starts, every other item fixed: other fixes can lift its cases (a fixed
# catch-all gives the new team's pages their FYI receiver), but it must never be solved
if s >= 1 - 1e-9:
out.append(f"{it.rid} ({it.code}) is solved without being touched")
elif s > float(bound) + slack + 1e-9:
out.append(f"{it.rid} ({it.code}) wrong variant {name}: s={s:.3f} > bound {bound}")
finally:
shutil.rmtree(d, ignore_errors=True)
return out
def accepted_sweep(m: dict, grade) -> tuple[int, list[str]]:
"""Every accepted variant of every item, on top of the oracle, graded on the whole task: a fix the text allows
must not be charged by another item's scenarios either (a floor rule that reads missing traffic as none, paged
in another ticket's scenarios whose pods had no request series, afx-e1-s03). Returns (variants, failures)."""
out, n = [], 0
for it in m["items"]:
for name, fn, exp in it.variants(m["world"]):
if exp != "accept" or name == "oracle":
continue
n += 1
k, det = grade(solutions.variant_state(m, it, fn))
if k["reward"] < 1 - 1e-9:
bad = {r: (v["q"], v["families"].get("noisy")) for r, v in det["requirements"].items() if v["s"] < 1}
out.append(f"accepted {it.rid} ({it.code}) {name}: reward {k['reward']} {json.dumps(bad)[:300]}")
return n, out
def _adversaries(m: dict, grade, partial_reward: float) -> tuple[dict, list[str]]:
"""Each adversary on top of the oracle (its own band), and each cheat again on the pristine repo (reward at or
below the honest partial policy and PRISTINE_BOUND)."""
out, reasons = {}, []
cap = min(solutions.PRISTINE_BOUND, partial_reward)
for name, (key, bound, applies) in solutions.ADVERSARIES.items():
bases = (["pristine"] if name in solutions.PRISTINE_ONLY
else ["oracle"] + (["pristine"] if name in solutions.CHEATS else []))
for base in bases:
label = f"{name}@pristine" if base == "pristine" and name not in solutions.PRISTINE_ONLY else name
st = solutions.adversary(m, name, base) if applies(m) else None
if st is None:
out[label] = "n/a"
continue
k, _ = grade(st)
if label.endswith("@pristine"):
ok, key2 = k["reward"] <= cap + 1e-9, "reward"
elif key == "tamper":
ok, key2 = k["tamper"] == 1.0 and k["reward"] == 0.0, key
elif key == "keep":
ok, key2 = k["reward"] >= bound - 1e-9, "reward"
elif key == "below_partial":
ok, key2 = k["reward"] <= partial_reward + 1e-9 and k["outcome"] == 0.0, "reward"
else:
ok, key2 = k[key] <= bound + 1e-9 and k["outcome"] == 0.0, key
out[label] = {"reward": k["reward"], key2: k.get(key2), "ok": ok}
if not ok:
reasons.append(f"adversary {label} out of band: {key2}={k.get(key2)} outcome={k['outcome']}"
+ (f" (cap {cap:.3f})" if label.endswith("@pristine") else ""))
return out, reasons
def detect_counts(m: dict) -> dict[str, int]:
"""Per symptom ticket, how many distinct scenarios (or route/inhibit cases) can tell a fix from the pristine:
the number that gives a partial diagnosis partial credit (BM-7 tracks this instead of the raw check count)."""
out = {}
for r in m["spec"]["requirements"]:
if not r.get("ticket"):
continue
gs = [g for g in m["groups"] if g["req"] == r["id"]]
if r["kind"] == "outcome":
n = sum(1 for g in gs if any(p.get("family") in ("F_detect", "S_defect") for p in g["probes"]))
elif r["kind"] in ("storm", "recording"):
n = len(gs)
elif r["kind"] == "route":
n = len(r["route"].get("pos", [])) + len(r["route"].get("chain", []))
elif r["kind"] == "inhibit":
n = sum(1 for c in r["inhibit"]["cases"] if c["expect"])
else:
n = len(gs)
out[r["id"]] = n
return out
def family_checks(m: dict) -> tuple[dict, list[str]]:
"""SPEC 3.0 routine overlap with every earlier seed of the family, and the SPEC 2.2 alert-rule floor on the
repo the queue starts from."""
from . import families
from .build import materialize
from .repo import ALERT_FLOOR
w = m["world"]
ov, other = families.max_overlap(w.family, w.seed, w.notes.get("master", 20260930), m["items"])
files, _ = materialize(w, m["items"], set())
n = sum(1 for f in files.values() for g in f.groups for r in g["rules"] if "alert" in r)
info = {"overlap": round(ov, 3), "overlap_seed": other, "alert_rules_pristine": n, "detect": detect_counts(m),
"decoys": w.notes.get("decoys", []), "decoy_route": (w.notes.get("decoy_route") or {}).get("team")}
bad = []
if ov > families.MAX_OVERLAP + 1e-9:
bad.append(f"routine kinds overlap seed {other} by {ov:.2f} (> {families.MAX_OVERLAP})")
if n < ALERT_FLOOR:
bad.append(f"{n} alert rules in the starting repo (< {ALERT_FLOOR})")
return info, bad
def gate_task(m: dict, out_root: str | None = None, adversaries: bool = True, sweep: list[str] | None = None) -> dict:
spec, hidden = m["spec"], m["hidden_dir"]
tests_dir = os.path.dirname(hidden)
static = m["static"]
res: dict = {"task_id": m["task_id"], "reasons": [], "family": m["world"].family}
def grade(state, grader=None):
if state is None:
return None, None
files, am, extra = state
mp = {**static, **state_map(files, am)}
for k, v in extra.items():
if v is None:
mp.pop(k, None)
else:
mp[k] = v
return grade_map(spec, tests_dir, mp, grader)
times, oracle_keys = [], []
for _ in range(3):
t0 = time.time()
k, det = grade(solutions.oracle(m), ExpertGrader(spec, hidden))
times.append(round(time.time() - t0, 2))
oracle_keys.append(k)
res["grader_seconds"] = times
ko = oracle_keys[0]
res["oracle"] = ko["reward"]
if any(k != ko for k in oracle_keys[1:]):
res["reasons"].append("oracle keys differ between fresh graders")
if ko["reward"] != 1.0:
bad = {r: v for r, v in det["requirements"].items() if v["q"] < 1}
pbad = [x for x in det.get("preservation_items", []) if not x["ok"]][:5]
res["reasons"].append(f"oracle {ko['reward']}: {json.dumps(bad)[:1500]} P-fails {pbad} tamper {det.get('tamper')}")
ka, deta = grade(solutions.alt(m))
res["alt"] = ka["reward"]
if ka["reward"] != 1.0:
bad = {r: v for r, v in deta["requirements"].items() if v["q"] < 1}
pbad = [x for x in deta.get("preservation_items", []) if not x["ok"]][:5]
res["reasons"].append(f"alt {ka['reward']}: {json.dumps(bad)[:1500]} P-fails {pbad}")
kn, _ = grade(solutions.null(m))
res["null"] = kn["reward"]
if kn["reward"] != 0.0 or kn["progress"] != 0.0 or kn["preservation"] != 1.0:
res["reasons"].append(f"null not 0: reward {kn['reward']} progress {kn['progress']} P {kn['preservation']}")
kp, _ = grade(solutions.partial(m))
res["partial"] = kp["reward"]
if not (kp["outcome"] == 0.0 and 0.05 < kp["reward"] < 0.4):
res["reasons"].append(f"partial out of band (0.05, 0.4): {kp['reward']}")
for r in spec["requirements"]:
if r["q_pristine"] >= 1:
res["reasons"].append(f"{r['id']} q_pristine {r['q_pristine']} >= 1")
if r["kind"] in ("outcome", "storm") and r["q_pristine"] > 0.1:
res["reasons"].append(f"{r['id']} ({r['defect']}) outcome q_pristine {r['q_pristine']} > 0.1")
res["reasons"] += lint({**m["pristine_map"], "instruction.md": open(os.path.join(os.path.dirname(tests_dir), "instruction.md")).read()})
res["reasons"] += leak_scan(m)
res["reasons"] += comment_lint(m)
from .scrapelint import lint as scrape_lint
res["reasons"] += scrape_lint(m)
oracle_grader = ExpertGrader(spec, hidden)
res["accepted"], bad = accepted_sweep(m, lambda st: grade(st, oracle_grader))
res["reasons"] += bad
from .textlint import lint as text_lint
res["reasons"] += text_lint(m)
info, bad = family_checks(m)
res.update(info)
res["reasons"] += bad
res["sweep"] = variant_sweep(m) if sweep is None else sweep
res["reasons"] += res["sweep"]
if adversaries:
res["adversaries"], bad = _adversaries(m, grade, kp["reward"])
res["reasons"] += bad
if out_root:
from ..render import patch_script
pmap = {**static, **state_map(*solutions.partial(m)[:2])}
for sub, target_map, hdr in (("partial", pmap, "partial: even-indexed requirements + one plausible mistake"),
("null", m["pristine_map"], "null: no-op (equivalent to harbor -a nop)")):
d = os.path.join(out_root, sub, m["task_id"])
os.makedirs(d, exist_ok=True)
with open(os.path.join(d, "solve.sh"), "w") as fh:
fh.write(patch_script(m["pristine_map"], target_map, hdr) if sub == "partial" else f"#!/bin/bash\n# {hdr}\nexit 0\n")
os.chmod(os.path.join(d, "solve.sh"), 0o755)
res["pass"] = not res["reasons"]
return res
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