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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 | #!/usr/bin/env python3
"""Record scripted, LLM-free reference episodes through the OpenEnv episode layer, for the replay Space.
Each episode drives `alertforge.episode.Episode` (the class the OpenEnv server wraps) in parity reward mode,
so the per-step rewards sum to the Harbor reward. After every step the workspace is graded with the same
grader, and the trimmed grader details (per-check pass/fail) are stored with the step.
Policies (all read the conventions and the files they will change first):
oracle writes the oracle solution file by file, runs `run_checks` in between, then submits
partial writes the partial reference solution (half the requests, one plausible mistake)
careless oracle, with two slips that are caught and fixed: a hand edit that mis-indents one key of a
rule file (caught by `run_checks`), and a page route sent to Slack (caught by `route_test`)
export AF_PROMTOOL=/path/to/promtool AF_AMTOOL=/path/to/amtool
python scripts/record_reference_runs.py --out dist/replay/traces [--tasks af-001,af-009] [-j 4]
python scripts/export_runs.py --traces dist/replay/traces --out space/data/runs.json
"""
from __future__ import annotations
import argparse
import json
import os
import sys
from concurrent.futures import ProcessPoolExecutor
ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.insert(0, os.path.join(ROOT, "src"))
from alertforge.episode import Episode # noqa: E402
from alertforge.solutions import break_indent # noqa: E402
# one task per workflow, all three tiers
DEFAULT_TASKS = ["af-001", "af-009", "af-013", "af-017", "af-021", "af-029"]
POLICIES = ["oracle", "partial", "careless"]
TIERS = ("easy", "medium", "hard")
def heredoc_writes(script: str) -> list[tuple[str, str]]:
"""Parse `cat > 'path' <<'AF_EOF'` blocks of a reference solve.sh into (path, content) writes."""
out, cur, buf = [], None, []
for line in open(script).read().splitlines():
if cur is None and line.startswith("cat > '") and line.endswith("<<'AF_EOF'"):
cur, buf = line.split("'")[1], []
elif cur is not None and line == "AF_EOF":
out.append((cur, "\n".join(buf) + "\n"))
cur = None
elif cur is not None:
buf.append(line)
return out
def trim_details(details: dict) -> dict:
"""Keep what the checks panel needs from a grader details dict."""
reqs = {}
for rid, rd in (details.get("requirements") or {}).items():
fams = rd.get("families") or {}
reqs[rid] = {"s": rd.get("s"), "families": {"pos": fams["pos"]} if "pos" in fams else {}}
return {"checks": details.get("checks") or {}, "requirements": reqs,
"preservation_items": details.get("preservation_items") or [], "tamper": details.get("tamper") or [],
"syntax_errors": details.get("syntax_errors") or {}}
def indent_slip(rules: list[tuple[str, str]], ws0: str) -> list[dict]:
"""A hand edit of an already-fixed, pre-existing rule file that breaks its YAML, then the fix."""
pre = [(p, c) for p, c in rules if os.path.exists(os.path.join(ws0, p))] or rules
if not pre:
return []
p, c = pre[0]
bad = break_indent(c)
bad_line = next((b for b, g in zip(bad.splitlines(), c.splitlines()) if b != g), None)
acts = [{"think": f"Tidy up {p} by hand before moving on."},
{"tool": "write_file", "path": p, "content": bad}, {"tool": "run_checks"},
{"think": f"`run_checks` says {p} no longer loads: an `expr:` key is indented one space too far, "
"so every rule in the file is gone. Fix the indentation."}]
if bad_line is not None and bad.count("\n" + bad_line + "\n") == 1:
acts.append({"tool": "replace_in_file", "path": p, "old": "\n" + bad_line + "\n",
"new": "\n" + bad_line[1:] + "\n"})
else:
acts.append({"tool": "write_file", "path": p, "content": c})
acts.append({"tool": "run_checks"})
return acts
def bad_route(am_text: str, route_req: dict | None) -> str | None:
"""A plausible routing slip: the new team's page route sends to its Slack receiver instead of the pager."""
if not route_req or not route_req["route"]["pos"]:
return None
expect = route_req["route"]["pos"][0]["expect"]
pager = next((e for e in expect if e.startswith("pagerduty-")), None)
chat = next((e for e in expect if e.startswith("slack-")), None)
if not pager or not chat or f"receiver: {pager}" not in am_text:
return None
return am_text.replace(f"receiver: {pager}", f"receiver: {chat}", 1)
def plan(task_dir: str, policy: str) -> list[dict]:
"""The scripted action list (with `think` notes interleaved) for one policy."""
tid = os.path.basename(task_dir)
oracle = heredoc_writes(os.path.join(task_dir, "solution", "solve.sh"))
writes = heredoc_writes(os.path.join(ROOT, "partial", tid, "solve.sh")) if policy == "partial" else oracle
with open(os.path.join(task_dir, "tests", "spec.json")) as fh:
spec = json.load(fh)
route_req = next((r for r in spec["requirements"] if r["kind"] == "route"), None)
probe_labels = route_req["route"]["pos"][0]["labels"] if route_req else None
ws0 = os.path.join(task_dir, "environment", "workspace", "monitoring")
acts: list[dict] = [{"think": "Start by listing the repo and reading the conventions in README.md."},
{"tool": "list_files"}, {"tool": "read_file", "path": "README.md"}]
targets = [p for p, _ in writes if os.path.exists(os.path.join(ws0, p))]
if targets:
acts.append({"think": "Read every file the change requests touch before editing: " + ", ".join(targets) + "."})
acts += [{"tool": "read_file", "path": p} for p in targets]
rules = [(p, c) for p, c in writes if p.startswith("rules/")]
am = [(p, c) for p, c in writes if p.startswith("alertmanager/")]
for n, (p, c) in enumerate(rules):
acts.append({"think": f"Update {p}."})
acts.append({"tool": "write_file", "path": p, "content": c})
if n % 2 == 1 or n == len(rules) - 1:
acts.append({"tool": "run_checks"})
if policy == "careless":
acts += indent_slip(rules, ws0)
for p, c in am:
slip = bad_route(c, route_req) if policy == "careless" else None
if slip:
acts.append({"think": "Route the new team and add the inhibition in the Alertmanager config."})
acts.append({"tool": "write_file", "path": p, "content": slip})
acts.append({"tool": "route_test", "labels": probe_labels})
acts.append({"think": "`route_test` shows the page alert only reaching Slack: the page route points at "
"the wrong receiver. Rewrite the config."})
else:
acts.append({"think": "Route the new team and add the inhibition in the Alertmanager config."})
acts.append({"tool": "write_file", "path": p, "content": c})
if probe_labels:
acts.append({"tool": "route_test", "labels": probe_labels})
acts.append({"tool": "run_checks"})
acts.append({"think": "Checks pass locally; submit."})
acts.append({"tool": "submit"})
return acts
def record(task_dir: str, policy: str) -> dict:
tid = os.path.basename(task_dir)
tier = next(t for t in TIERS if f"-{t}-" in tid)
ep = Episode(task_dir, split="train", mode="parity", tier=tier)
steps = []
try:
for a in plan(task_dir, policy):
if "think" in a:
steps.append({"think": a["think"]})
continue
res = ep.step(a)
keys, details = ep.grader.grade(ep.ws) # cached by workspace fingerprint: no second promtool run
steps.append({"action": a, "output": res["output"], "ok": res["ok"], "reward": res["reward"],
"done": res["done"], "metadata": res["metadata"], "keys": keys,
"details": trim_details(details)})
if res["done"]:
break
finally:
ep.close()
total = sum(s.get("reward", 0.0) for s in steps)
last = steps[-1]
return {"format": "3ambench-trace/1", "source": "openenv", "task_id": tid, "tier": tier,
"agent": f"reference: {policy}", "model": "scripted (no LLM)", "reward_mode": "parity",
"total_reward": round(total, 6), "harbor_reward": last["metadata"].get("harbor_reward"),
"final_keys": last["keys"], "steps": steps}
def _job(args: tuple[str, str, str]) -> str:
task_dir, policy, out = args
tr = record(task_dir, policy)
path = os.path.join(out, f"{tr['task_id']}__{policy}.json")
with open(path, "w") as fh:
json.dump(tr, fh)
n = sum(1 for s in tr["steps"] if "action" in s)
return f"{tr['task_id']:44s} {policy:9s} steps={n:3d} sum_r={tr['total_reward']:.4f} harbor={tr['harbor_reward']}"
def main() -> int:
ap = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter)
ap.add_argument("--out", default=os.path.join(ROOT, "dist", "replay", "traces"))
ap.add_argument("--tasks", default=",".join(DEFAULT_TASKS), help="comma-separated task ids or prefixes")
ap.add_argument("--policies", default=",".join(POLICIES))
ap.add_argument("-j", "--jobs", type=int, default=4)
a = ap.parse_args()
os.makedirs(a.out, exist_ok=True)
all_tasks = sorted(os.listdir(os.path.join(ROOT, "tasks")))
chosen = [t for pre in a.tasks.split(",") for t in all_tasks if t.startswith(pre.strip())]
jobs = [(os.path.join(ROOT, "tasks", t), p, a.out) for t in chosen for p in a.policies.split(",")]
with ProcessPoolExecutor(max_workers=a.jobs) as pool:
for line in pool.map(_job, jobs):
print(line, flush=True)
return 0
if __name__ == "__main__":
sys.exit(main())
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