Download source/scripts/replay.py from ajinkyamulay/analyst-workbench: direct link, hf CLI and curl.
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https://huggingface.co/datasets/ajinkyamulay/analyst-workbench/resolve/main/source/scripts/replay.py
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hf download hf://datasets/ajinkyamulay/analyst-workbench/source/scripts/replay.py
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curl -L -o replay.py https://huggingface.co/datasets/ajinkyamulay/analyst-workbench/resolve/main/source/scripts/replay.py
4.71 kB
| """Replay admission-style episodes against a running server over the OpenEnv WebSocket. | |
| For every task: the example actions end with done=true and a reward in [0, 1]; the reference | |
| answer scores 1; a wrong answer scores below 1; the python tool cannot read the task sources; | |
| and an episode that never submits ends at the action budget with reward 0. | |
| """ | |
| import argparse | |
| import json | |
| import sys | |
| import time | |
| from pathlib import Path | |
| from urllib.request import urlopen | |
| from websockets.sync.client import connect | |
| sys.path.insert(0, str(Path(__file__).resolve().parents[1])) | |
| from workbench.models import MAX_STEPS # noqa: E402 | |
| from workbench.tasks import ALL_TASK_IDS, build_task # noqa: E402 | |
| # every family at levels 1 and 2, plus the Repo Repair levels that get submitted | |
| TASK_IDS = ALL_TASK_IDS + [f"{t.split('@')[0]}@{lv}" for t in ALL_TASK_IDS | |
| if t.startswith("swe-repo-") and t.endswith("@1") for lv in (3, 4)] | |
| EXAMPLE_ACTIONS = [{"tool": "ls"}, {"tool": "submit", "answer": ""}] | |
| def exchange(ws, message): | |
| ws.send(json.dumps(message)) | |
| reply = json.loads(ws.recv(timeout=60)) | |
| assert reply.get("type") == "observation", reply | |
| data = reply["data"] | |
| assert isinstance(data["done"], bool) and 0 <= data["reward"] <= 1, data | |
| return data | |
| def episode(url, task_id, seed, actions): | |
| with connect(url, open_timeout=15) as ws: | |
| first = exchange(ws, {"type": "reset", "data": {"task_id": task_id, "seed": seed}}) | |
| assert not first["done"] | |
| result = first | |
| for action in actions: | |
| result = exchange(ws, {"type": "step", "data": action}) | |
| return first, result | |
| def main(): | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--url", default="http://127.0.0.1:8000") | |
| parser.add_argument("--seeds", type=int, default=3) | |
| parser.add_argument("--out", default="artifacts/replay.json") | |
| args = parser.parse_args() | |
| base = args.url.rstrip("/") | |
| ws_url = base.replace("http", "ws", 1) + "/ws" | |
| schema = json.load(urlopen(f"{base}/schema", timeout=15)) | |
| Path(args.out).parent.mkdir(parents=True, exist_ok=True) | |
| Path(args.out).with_name("schema.json").write_text( | |
| json.dumps({k: schema[k] for k in ("action", "observation")}, indent=2) + "\n") | |
| report, started = [], time.monotonic() | |
| for task_id in TASK_IDS: | |
| for seed in range(args.seeds): | |
| task = build_task(task_id, seed) | |
| first, ex = episode(ws_url, task_id, seed, EXAMPLE_ACTIONS) | |
| assert ex["done"] and ex["reward"] == 0.0, (task_id, ex) | |
| if task.meta.get("grades_workspace"): # Repo Repair: write the fixed files, then submit | |
| fixes = [{"tool": "write", "path": m["path"], "content": task.meta["pristine"][m["path"]]} | |
| for m in task.meta["mutants"]] | |
| _, good = episode(ws_url, task_id, seed, fixes + [{"tool": "submit", "answer": ""}]) | |
| assert good["done"] and good["reward"] == 1.0, (task_id, seed, good) | |
| bad = ex # untouched repository already scored 0 above | |
| else: | |
| assert task.oracle not in json.dumps(first) or len(task.oracle) < 8, task_id | |
| _, good = episode(ws_url, task_id, seed, [{"tool": "submit", "answer": task.oracle}]) | |
| assert good["done"] and good["reward"] == 1.0, (task_id, seed, good) | |
| _, bad = episode(ws_url, task_id, seed, [{"tool": "submit", "answer": task.wrong[0]}]) | |
| assert bad["done"] and bad["reward"] < 1.0, (task_id, seed, bad) | |
| report.append({"task_id": task_id, "seed": seed, "example": ex["reward"], | |
| "oracle": good["reward"], "wrong": bad["reward"], | |
| "reset_chars": len(first["observation"]["output"])}) | |
| probe = "import glob\ntry:\n open('/app/workbench/grading.py')\n print('READABLE')\nexcept OSError as e:\n print('blocked', type(e).__name__)\n" | |
| _, sandbox = episode(ws_url, TASK_IDS[0], 0, [{"tool": "python", "code": probe}]) | |
| _, budget = episode(ws_url, TASK_IDS[0], 0, [{"tool": "ls"}] * MAX_STEPS) | |
| assert budget["done"] and budget["reward"] == 0.0, budget | |
| summary = {"passed": True, "episodes": len(report) * 3 + 2, "tasks": len(TASK_IDS), | |
| "sandbox_probe": sandbox["observation"]["output"].strip(), | |
| "max_reset_chars": max(r["reset_chars"] for r in report), | |
| "duration_s": round(time.monotonic() - started, 1), "results": report} | |
| Path(args.out).write_text(json.dumps(summary, indent=2) + "\n") | |
| print(json.dumps({k: v for k, v in summary.items() if k != "results"})) | |
| if __name__ == "__main__": | |
| main() | |