| """Build submission.json for the OpenEnv Arena. |
| |
| Reads the schema from a running server, so the submitted schema is exactly what |
| GET /schema returns. Tasks come from --tasks (comma list) or a file with one id per line. |
| |
| Usage: |
| python tools/make_submission.py --url http://localhost:18001 --image ghcr.io/syndicate604/science-desk@sha256:... \ |
| --tasks-file runs/selected.txt --id science-desk-v5 --out submission.json |
| """ |
|
|
| import argparse |
| import json |
| import sys |
|
|
| import httpx |
|
|
| sys.path.insert(0, ".") |
| from terminal_desk.families import parse_task_id |
|
|
| |
| |
| LIMITS = { |
| "split": "train", |
| "cleanup_grace_s": 30, |
| "completion_tokens": 4096, |
| "context_tokens": 8192, |
| "cpu_floor_vcpus": 1.0, |
| "memory_gib": 2.0, |
| "reset_wall_s": 300, |
| "rollout_wall_s": 902, |
| "tool_calls_inflight": 1, |
| "tool_calls_per_minute": 60, |
| "tool_calls_total": 32, |
| "tool_rate_burst": 4, |
| "tool_wall_s": 110, |
| "verifier_wall_s": 600, |
| "workspace_gib": 10, |
| } |
|
|
|
|
| def main() -> None: |
| p = argparse.ArgumentParser() |
| p.add_argument("--url", required=True) |
| p.add_argument("--image", required=True) |
| p.add_argument("--id", required=True) |
| p.add_argument("--tasks", default="") |
| p.add_argument("--tasks-file", default="") |
| p.add_argument("--dataset", default="Syndicate604/science-desk") |
| p.add_argument("--name", default="Science Desk") |
| p.add_argument("--out", required=True) |
| a = p.parse_args() |
| ids = [t for t in a.tasks.split(",") if t] if a.tasks else [ |
| ln.strip() for ln in open(a.tasks_file) if ln.strip() and not ln.startswith("#") |
| ] |
| for t in ids: |
| parse_task_id(t) |
| if not 1 <= len(ids) <= 50: |
| raise SystemExit(f"need 1-50 tasks, got {len(ids)}") |
| schema = httpx.get(f"{a.url}/schema", timeout=10).json() |
| sub = { |
| "submission_id": a.id, |
| "name": a.name, |
| "image": a.image, |
| "schema": {"action": schema["action"], "observation": schema["observation"]}, |
| "tasks": [{"task_id": t, **LIMITS} for t in ids], |
| "example_actions": [{"action_type": "exec", "command": "ls -la"}, {"action_type": "evaluate"}], |
| "finish_action": {"action_type": "evaluate"}, |
| "dataset": a.dataset, |
| "source": f"https://huggingface.co/datasets/{a.dataset}", |
| } |
| json.dump(sub, open(a.out, "w"), indent=2) |
| print(f"wrote {a.out}: {len(ids)} tasks, image {a.image}") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
