Download tasks/cpu-decoder-graph-executor/environment/are-grader-ctx/are/server.py from bespokelabs/AutoResearchExam: direct link, hf CLI and curl.
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curl -L -o server.py https://huggingface.co/datasets/bespokelabs/AutoResearchExam/resolve/main/tasks/cpu-decoder-graph-executor/environment/are-grader-ctx/are/server.py
21 kB
| """ARE 1.1 grader sidecar. | |
| One image, two roles: | |
| - ARE_ROLE=val ("grader" service). Reachable from the agent. Serves MCP tools and a | |
| REST fallback. On submit it snapshots the shared deliverable volume, grades the | |
| snapshot with the task's public grader (intermediate.sh), and returns only that | |
| score. Every snapshot is also sent to the test grader; the hidden score goes to a | |
| root-only ledger and never back to the agent. | |
| - ARE_ROLE=test ("test-grader" service). On a private network that only the val | |
| grader can reach. Grades snapshots with the task's private grader (test.sh). | |
| """ | |
| from __future__ import annotations | |
| import asyncio | |
| import gzip | |
| import hashlib | |
| import io | |
| import secrets | |
| import json | |
| import os | |
| import queue | |
| import shutil | |
| import subprocess | |
| import tarfile | |
| import threading | |
| import time | |
| import urllib.request | |
| from pathlib import Path | |
| from fastmcp import FastMCP | |
| from starlette.requests import Request | |
| from starlette.responses import JSONResponse, Response | |
| ROLE = os.environ.get("ARE_ROLE", "val") | |
| PORT = int(os.environ.get("ARE_PORT", "8000")) | |
| STATE = Path(os.environ.get("ARE_STATE_DIR", "/var/lib/are")) | |
| ARTIFACT_PATHS = [p for p in os.environ.get("ARE_ARTIFACT_PATHS", "/app/output").split(":") if p] | |
| # The shared deliverable volume. Its parent is root-only, so submitted code (which every | |
| # task grader runs as the unprivileged agent user) cannot reach it to write back to the agent. | |
| SUBMISSION_ROOT = Path(os.environ.get("ARE_SUBMISSION_ROOT", "/run/are-deliverable")) | |
| AGENT_UID = int(os.environ.get("ARE_AGENT_UID", "1001")) | |
| BUDGET_SEC = float(os.environ.get("ARE_BUDGET_SEC", "14400")) | |
| GRADE_TIMEOUT_SEC = float(os.environ.get("ARE_GRADE_TIMEOUT_SEC", "1800")) | |
| TEST_GRADER_URL = os.environ.get("ARE_TEST_GRADER_URL", "http://test-grader:8001") | |
| FEEDBACK_TAIL = int(os.environ.get("ARE_FEEDBACK_TAIL_CHARS", "8192")) | |
| SCRIPT = "/tests/intermediate.sh" if ROLE == "val" else "/tests/test.sh" | |
| # Shared only by the two graders (a volume the agent's container never mounts). The test | |
| # grader writes a fresh token at startup; every internal request must carry it, so the | |
| # agent cannot reach the test grader or the internal endpoints even on a shared network. | |
| TOKEN_FILE = Path(os.environ.get("ARE_TOKEN_FILE", "/run/are-secret/token")) | |
| TOKEN = "" | |
| def _authorized(request: Request) -> bool: | |
| """Internal endpoints need the graders' token; an unset token never matches.""" | |
| return bool(TOKEN) and secrets.compare_digest(request.headers.get("x-are-token", ""), TOKEN) | |
| def _net_isolation_available() -> bool: | |
| try: | |
| return subprocess.run(["unshare", "-n", "true"], capture_output=True, timeout=10).returncode == 0 | |
| except Exception: | |
| return False | |
| NET_ISOLATED = False # set at startup: grader scripts run in an empty network namespace | |
| T0 = time.time() | |
| _lock = threading.Lock() | |
| def _elapsed() -> float: | |
| return round(time.time() - T0, 1) | |
| def _ledger(event: dict) -> None: | |
| event = {"t": _elapsed(), "wall": time.time(), **event} | |
| for attempt in range(3): | |
| try: | |
| with _lock, open(STATE / "ledger.jsonl", "a") as fh: | |
| fh.write(json.dumps(event) + "\n") | |
| return | |
| except OSError: | |
| if attempt == 2: | |
| raise | |
| time.sleep(1) | |
| def _kill_grading_processes(proc: subprocess.Popen) -> None: | |
| """Kill everything a timed-out grade started, including processes that left its group.""" | |
| try: | |
| os.killpg(proc.pid, 9) | |
| except ProcessLookupError: | |
| pass | |
| _kill_other_processes() | |
| def _kill_other_processes() -> None: | |
| """Kill every process run by the agent user. Every task grader runs submitted code as | |
| that user, so this stops all graded code (detached or not) and nothing else: the grader | |
| server, the task's own grader and Harbor's hooks run as root.""" | |
| for entry in Path("/proc").iterdir(): | |
| if not entry.name.isdigit(): | |
| continue | |
| try: | |
| if entry.stat().st_uid == AGENT_UID: | |
| os.kill(int(entry.name), 9) | |
| except (ProcessLookupError, PermissionError, FileNotFoundError): | |
| pass | |
| # Places the agent user (who runs submitted code inside every task grader) can write. | |
| _BASELINE: set[str] = set() # every path that existed when the grader started (its image) | |
| def _walk_one_fs(base: Path): | |
| """Every path under base on base's own filesystem (skips /proc, /sys and other mounts).""" | |
| dev = base.stat().st_dev | |
| for root, dirs, files in os.walk(base): | |
| dirs[:] = [d for d in dirs if os.lstat(os.path.join(root, d)).st_dev == dev] | |
| for name in dirs + files: | |
| yield Path(root) / name | |
| def _all_paths() -> set[str]: | |
| out = set() | |
| for base in (Path("/"), Path("/dev/shm")): | |
| if base.is_dir(): | |
| out.update(str(q) for q in _walk_one_fs(base)) | |
| return out | |
| def _protected(path: str) -> bool: | |
| keep = [str(STATE), "/opt/are", str(TOKEN_FILE.parent)] | |
| return any(path == k or path.startswith(k + "/") for k in keep) | |
| def _fresh_state() -> None: | |
| """Start every grade from the grader image's own files, as ARE 1.0's fresh verifier | |
| container did. The grader container lives for the whole run, so before each grade | |
| stop anything an earlier grade left running and delete every file it created, | |
| whoever wrote it. The deliverable volume and the token are separate mounts and are | |
| never walked; the grader's own state is kept.""" | |
| _kill_other_processes() | |
| # System V shared memory, semaphores and queues outlive processes; this server uses none. | |
| subprocess.run(["ipcrm", "--all"], capture_output=True) | |
| for path in sorted(_all_paths() - _BASELINE, key=lambda q: q.count("/"), reverse=True): | |
| if _protected(path): | |
| continue | |
| try: | |
| q = Path(path) | |
| if q.is_dir() and not q.is_symlink(): | |
| shutil.rmtree(q, ignore_errors=True) | |
| else: | |
| q.unlink() | |
| except OSError: | |
| pass | |
| def grade_snapshot(tar_bytes: bytes, tag: str) -> dict: | |
| """Extract a snapshot over the artifact paths and run this role's grader script.""" | |
| _fresh_state() | |
| for path in ARTIFACT_PATHS: | |
| p = Path(path) | |
| if p.exists(): | |
| shutil.rmtree(p) | |
| p.mkdir(parents=True) | |
| with tarfile.open(fileobj=io.BytesIO(tar_bytes), mode="r:gz") as tf: | |
| tf.extractall("/", filter="tar") | |
| logs = Path("/logs/verifier") | |
| if logs.exists(): | |
| shutil.rmtree(logs) | |
| logs.mkdir(parents=True) | |
| started = time.time() | |
| # Submitted code runs with no network, as in ARE 1.0's verifier. | |
| cmd = (["unshare", "-n"] if NET_ISOLATED else []) + ["bash", SCRIPT] | |
| proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, | |
| cwd="/tests", start_new_session=True) | |
| try: | |
| out, err = proc.communicate(timeout=GRADE_TIMEOUT_SEC) | |
| error = None | |
| except subprocess.TimeoutExpired: | |
| _kill_grading_processes(proc) | |
| out, err = proc.communicate() | |
| error = f"grader timed out after {GRADE_TIMEOUT_SEC:.0f}s" | |
| output = (out or "") + (err or "") | |
| # Nothing a grade started may keep running after it, not even detached processes. | |
| _kill_other_processes() | |
| score = 0.0 | |
| reward_file = logs / "reward.txt" | |
| if reward_file.exists(): | |
| try: | |
| score = float(reward_file.read_text().strip() or 0) | |
| except ValueError: | |
| error = error or "unparseable reward" | |
| metric = None | |
| if (logs / "metric.json").exists(): | |
| try: | |
| metric = json.loads((logs / "metric.json").read_text()) | |
| except ValueError: | |
| pass | |
| (STATE / "logs").mkdir(exist_ok=True) | |
| (STATE / "logs" / f"{tag}.log").write_text(output) | |
| return { | |
| "score": score, | |
| "metric": metric, | |
| "error": error, | |
| "net_isolated": NET_ISOLATED, | |
| "seconds": round(time.time() - started, 1), | |
| # What the agent sees, as in ARE 1.0: the grader's stdout tail (not stderr). | |
| "output_tail": (out or "")[-FEEDBACK_TAIL:], | |
| } | |
| mcp = FastMCP("are") | |
| # ---------------------------------------------------------------- test role | |
| _grade_lock = threading.Lock() | |
| def _grade_one_at_a_time(tar_bytes: bytes, tag: str) -> dict: | |
| # A request that timed out on the caller's side may still be grading; the next one | |
| # waits for it rather than sharing /app/output and /logs/verifier with it. | |
| with _grade_lock: | |
| return grade_snapshot(tar_bytes, tag) | |
| if ROLE == "test": | |
| async def http_grade(request: Request) -> Response: | |
| if not _authorized(request): | |
| return JSONResponse({"error": "forbidden"}, status_code=403) | |
| tag = request.query_params.get("tag", "x") | |
| body = await request.body() | |
| result = await asyncio.to_thread(_grade_one_at_a_time, body, f"{tag}-test") | |
| return JSONResponse(result) | |
| # ----------------------------------------------------------------- val role | |
| class Board: | |
| """Submissions and their grading state. Hidden scores are never stored here.""" | |
| def __init__(self) -> None: | |
| self.subs: dict[int, dict] = {} | |
| self.val_q: queue.Queue[int] = queue.Queue() | |
| self.next_id = 1 | |
| self.test_pending = 0 | |
| self.last_digest: str | None = None | |
| def public(self, sid: int) -> dict: | |
| s = self.subs[sid] | |
| out = {k: s[k] for k in ("id", "note", "submitted_at_s", "status")} | |
| if s["status"] == "graded": | |
| v = s["val"] | |
| out.update( | |
| validation_score=v["score"], | |
| error=v["error"], | |
| grading_seconds=v["seconds"], | |
| grader_output_tail=v["output_tail"], | |
| ) | |
| return out | |
| def best(self) -> dict | None: | |
| graded = [s for s in self.subs.values() if s["status"] == "graded"] | |
| if not graded: | |
| return None | |
| b = max(graded, key=lambda s: (s["val"]["score"], -s["id"])) | |
| return {"id": b["id"], "validation_score": b["val"]["score"]} | |
| board = Board() | |
| def snapshot() -> bytes: | |
| """Deterministic tar.gz of the deliverable: same content, same bytes (gzip mtime 0).""" | |
| raw = io.BytesIO() | |
| with tarfile.open(fileobj=raw, mode="w") as tf: | |
| for path in ARTIFACT_PATHS: | |
| src = SUBMISSION_ROOT / path.lstrip("/") | |
| tf.add(str(src), arcname=path.lstrip("/")) | |
| out = io.BytesIO() | |
| with gzip.GzipFile(fileobj=out, mode="wb", mtime=0) as gz: | |
| gz.write(raw.getvalue()) | |
| return out.getvalue() | |
| def do_submit(note: str, final: bool = False) -> dict: | |
| with _lock: | |
| pending = [s["id"] for s in board.subs.values() if s["status"] != "graded"] | |
| if pending and not final: | |
| return { | |
| "error": f"Submission {pending[0]} is still being graded. One submission is " | |
| f"graded at a time: check result({pending[0]}) and submit again " | |
| "once it has its score.", | |
| "pending_id": pending[0], | |
| } | |
| sid = board.next_id | |
| board.next_id += 1 | |
| board.subs[sid] = {"id": sid, "note": note[:500], "submitted_at_s": _elapsed(), | |
| "status": "queued"} | |
| try: | |
| data = snapshot() | |
| digest = hashlib.sha256(data).hexdigest() | |
| (STATE / "snapshots" / f"{sid:04d}.tar.gz").write_bytes(data) | |
| _ledger({"event": "submitted", "id": sid, "note": note[:500], "bytes": len(data), | |
| "sha256": digest, "final": final}) | |
| except Exception as exc: | |
| with _lock: | |
| board.subs.pop(sid, None) # release the slot; the id is not reused | |
| return {"error": f"Could not snapshot the deliverable ({exc}). Nothing was submitted. " | |
| "Make sure nothing is writing to it, then submit again."} | |
| board.last_digest = digest | |
| with _lock: | |
| board.test_pending += 1 | |
| board.val_q.put(sid) | |
| return {"id": sid, "status": "queued", | |
| "hint": "Grading has started. Check result(id) for the validation score."} | |
| def final_submit() -> dict: | |
| """After the agent stops: grade the final workspace unless it was already submitted.""" | |
| try: | |
| data = snapshot() | |
| except Exception as exc: | |
| return {"error": f"final snapshot failed: {exc}"} | |
| if board.subs and hashlib.sha256(data).hexdigest() == board.last_digest: | |
| return {"skipped": "final workspace equals the last submission"} | |
| return do_submit("final workspace (automatic)", final=True) | |
| def grade_worker() -> None: | |
| """Grade each submission on val, then on test, one submission at a time. | |
| The val score is published as soon as it is ready. The next submission's val grade | |
| waits until this test grade is done, so the two graders never run at the same time. | |
| """ | |
| while True: | |
| sid = board.val_q.get() | |
| board.subs[sid]["status"] = "grading" | |
| data = b"" | |
| try: | |
| data = (STATE / "snapshots" / f"{sid:04d}.tar.gz").read_bytes() | |
| res = grade_snapshot(data, f"{sid:04d}-val") | |
| except Exception as exc: | |
| res = {"score": 0.0, "metric": None, "error": f"grader failed: {exc}", | |
| "net_isolated": NET_ISOLATED, "seconds": 0.0, "output_tail": ""} | |
| board.subs[sid]["val"] = res | |
| board.subs[sid]["status"] = "graded" | |
| try: | |
| _ledger({"event": "val", "id": sid, **{k: res[k] for k in ("score", "metric", "error", "seconds", "net_isolated")}}) | |
| except OSError as exc: # keep grading later submissions | |
| print(f"ARE grader: ledger write failed for {sid}: {exc}", flush=True) | |
| test_grade(sid, data) | |
| def test_grade(sid: int, data: bytes) -> None: | |
| try: | |
| _test_grade(sid, data) | |
| finally: | |
| with _lock: | |
| board.test_pending -= 1 | |
| def _test_grade(sid: int, data: bytes) -> None: | |
| """Send one snapshot to the test grader. A failed request is retried (the same snapshot | |
| is graded again, so a retry can only recover the honest score); a request that ran | |
| past its timeout is not, since the grade itself already took the full time.""" | |
| started = time.time() | |
| for attempt in range(3): | |
| try: | |
| req = urllib.request.Request( | |
| f"{TEST_GRADER_URL}/grade?tag={sid:04d}", data=data, method="POST", | |
| headers={"x-are-token": TOKEN}, | |
| ) | |
| with urllib.request.urlopen(req, timeout=2 * GRADE_TIMEOUT_SEC + 300) as resp: | |
| res = json.loads(resp.read()) | |
| break | |
| except Exception as exc: # recorded, never shown to the agent | |
| res = {"score": None, "metric": None, "error": f"test grader: {exc}", | |
| "seconds": round(time.time() - started, 1)} | |
| if attempt == 2 or isinstance(exc, TimeoutError) or isinstance(getattr(exc, "reason", None), TimeoutError): | |
| break | |
| time.sleep(5) | |
| try: | |
| _ledger({"event": "test", "id": sid, **{k: res.get(k) for k in ("score", "metric", "error", "seconds", "net_isolated")}}) | |
| except OSError as exc: # keep grading later submissions | |
| print(f"ARE grader: ledger write failed for {sid}: {exc}", flush=True) | |
| def with_time(out: dict) -> dict: | |
| """Wall-clock accounting on every reply, as the v1 harness gave each phase.""" | |
| out["total_budget_seconds"] = BUDGET_SEC | |
| out["time_remaining_seconds"] = round(max(0.0, BUDGET_SEC - _elapsed()), 1) | |
| return out | |
| def status_dict() -> dict: | |
| return { | |
| "submissions": len(board.subs), | |
| "queued_or_grading": sum(s["status"] != "graded" for s in board.subs.values()), | |
| "best": board.best(), | |
| } | |
| def current_result(sid: int) -> dict: | |
| return board.public(sid) | |
| if ROLE == "val": | |
| async def submit(note: str = "") -> dict: | |
| """Submit the current deliverable for grading. | |
| Snapshots the deliverable directory right now (later edits do not affect this | |
| submission) and starts grading it on the public validation split. Returns at | |
| once with a submission id. One submission is graded at a time: check `result` | |
| and submit again once the previous submission has its score. `note` is a short | |
| description of what changed. | |
| """ | |
| return with_time(await asyncio.to_thread(do_submit, note)) | |
| async def result(id: int) -> dict: | |
| """The current state of a submission: queued, grading, or graded with its | |
| validation score and grader output. Returns immediately.""" | |
| if id not in board.subs: | |
| return {"error": f"unknown submission id {id}"} | |
| return with_time(current_result(id)) | |
| async def status() -> dict: | |
| """Submission count, whether one is being graded, the best validation score, | |
| and the time budget and time remaining.""" | |
| return with_time(status_dict()) | |
| async def http_submit(request: Request) -> Response: | |
| note = request.query_params.get("note", "") | |
| return JSONResponse(with_time(await asyncio.to_thread(do_submit, note))) | |
| async def http_result(request: Request) -> Response: | |
| sid = int(request.path_params["sid"]) | |
| if sid not in board.subs: | |
| return JSONResponse({"error": f"unknown submission id {sid}"}, status_code=404) | |
| return JSONResponse(with_time(current_result(sid))) | |
| async def http_status(request: Request) -> Response: | |
| return JSONResponse(with_time(status_dict())) | |
| async def http_final(request: Request) -> Response: | |
| if not _authorized(request): | |
| return JSONResponse({"error": "forbidden"}, status_code=403) | |
| # Collect hook, after the agent has stopped. | |
| return JSONResponse(await asyncio.to_thread(final_submit)) | |
| async def http_drain(request: Request) -> Response: | |
| if not _authorized(request): | |
| return JSONResponse({"error": "forbidden"}, status_code=403) | |
| # Used by the verifier collect hook after the agent has stopped. | |
| pending = sum(s["status"] != "graded" for s in board.subs.values()) | |
| return JSONResponse({"val_pending": pending, "test_pending": board.test_pending}) | |
| def _gpus() -> list[str]: | |
| try: | |
| out = subprocess.run(["nvidia-smi", "-L"], capture_output=True, text=True, timeout=20) | |
| return [l for l in out.stdout.splitlines() if l.strip()] | |
| except Exception: | |
| return [] | |
| async def health(request: Request) -> Response: | |
| return JSONResponse({"ok": True, "role": ROLE, "gpus": await asyncio.to_thread(_gpus)}) | |
| def _setup_token() -> None: | |
| global TOKEN | |
| if ROLE == "test": | |
| TOKEN_FILE.parent.mkdir(parents=True, exist_ok=True) | |
| os.chmod(TOKEN_FILE.parent, 0o700) | |
| TOKEN = secrets.token_hex(32) | |
| TOKEN_FILE.write_text(TOKEN) | |
| os.chmod(TOKEN_FILE, 0o600) | |
| else: | |
| for _ in range(300): # the test grader is healthy before this one starts | |
| if TOKEN_FILE.exists() and TOKEN_FILE.read_text().strip(): | |
| break | |
| time.sleep(1) | |
| TOKEN = TOKEN_FILE.read_text().strip() | |
| if not TOKEN: | |
| raise SystemExit("ARE: empty internal token; refusing to start") | |
| def main() -> None: | |
| global NET_ISOLATED | |
| NET_ISOLATED = _net_isolation_available() | |
| if not NET_ISOLATED: | |
| # Graded code must never have a network path (for example back through /submit). | |
| raise SystemExit("ARE grader: cannot run grades without network access " | |
| "(needs `unshare -n`, i.e. CAP_SYS_ADMIN); refusing to start") | |
| STATE.mkdir(parents=True, exist_ok=True) | |
| _BASELINE.update(_all_paths()) | |
| _setup_token() | |
| STATE.mkdir(parents=True, exist_ok=True) | |
| os.chmod(STATE, 0o700) | |
| (STATE / "snapshots").mkdir(exist_ok=True) | |
| if ROLE == "val": | |
| # The deliverable volume starts empty and root-owned; hand it to the agent user. | |
| SUBMISSION_ROOT.mkdir(parents=True, exist_ok=True) | |
| os.chmod(SUBMISSION_ROOT, 0o700) | |
| for path in ARTIFACT_PATHS: | |
| src = SUBMISSION_ROOT / path.lstrip("/") | |
| src.mkdir(parents=True, exist_ok=True) | |
| os.chown(src, AGENT_UID, AGENT_UID) | |
| (STATE / "meta.json").write_text(json.dumps( | |
| {"t0_wall": T0, "budget_seconds": BUDGET_SEC, "artifact_paths": ARTIFACT_PATHS} | |
| )) | |
| threading.Thread(target=grade_worker, daemon=True).start() | |
| mcp.run(transport="http", host="0.0.0.0", port=PORT, show_banner=False, | |
| uvicorn_config={"timeout_keep_alive": 86400}) | |
| if __name__ == "__main__": | |
| main() | |