mimo-openenv-software / monitor.py
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Record admitted baseline and prepare five controlled ablations with monitoring
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"""Read Arena lifecycle, Trackio curves and private-evaluation scores; never submit."""
import argparse
from concurrent.futures import ThreadPoolExecutor
from datetime import datetime, timezone
import json
from pathlib import Path
from urllib.parse import parse_qs, urlparse
from huggingface_hub import get_token
import requests
ARENA = "https://openenvarena-arena.hf.space"
TRACKIO = "https://openenvarena-training.hf.space"
def read_json(url, *, token=None, payload=None):
"""Trackio POSTs here are read-only; credentials only go to Arena GETs."""
try:
if payload is None:
headers = {"Authorization": "Bearer " + token} if token else {}
response = requests.get(url, headers=headers, timeout=(10, 30))
else:
response = requests.post(url, json=payload, timeout=(10, 30))
text = response.text.replace(token, "[REDACTED]") if token else response.text
try:
body = json.loads(text)
except ValueError:
return {"http_status": response.status_code, "error": "non-JSON response"}
if not response.ok:
return {"http_status": response.status_code, "error": body}
return body
except requests.RequestException as error:
# Exception messages can include request details; retain only their type.
return {"error": type(error).__name__}
def unwrap(value):
if isinstance(value, dict) and not value.get("error") and "data" in value:
value = value["data"]
if isinstance(value, str):
try:
return json.loads(value)
except ValueError:
return {"error": "unrecognized Trackio data"}
return value
def trackio(dashboard):
query = parse_qs(urlparse(dashboard).query)
if not query.get("project") or not query.get("runs"):
return {"error": "dashboard has no project/run identity"}
project, run = query["project"][0], query["runs"][0]
identity = {"project": project, "run": run, "run_id": run}
summary = unwrap(read_json(TRACKIO + "/api/get_run_summary", payload=identity))
result = {"identity": identity, "dashboard": dashboard, "summary": summary}
if not isinstance(summary, dict) or summary.get("error"):
return result
metrics = summary.get("metrics", [])
if isinstance(metrics, dict):
metrics = list(metrics)
if not isinstance(metrics, list) or any(not isinstance(m, str) for m in metrics):
result["error"] = "unrecognized metric inventory; inspect summary before querying"
return result
with ThreadPoolExecutor(max_workers=4) as pool:
values = pool.map(lambda name: unwrap(read_json(
TRACKIO + "/api/get_metric_values", payload={**identity, "metric_name": name}
)), metrics)
result["curves"] = dict(zip(metrics, values))
result["logs"] = unwrap(read_json(TRACKIO + "/api/get_logs", payload=identity))
return result
def collect():
token = get_token()
if not token:
raise RuntimeError("HF CLI authentication unavailable; authenticate privately")
listing = read_json(ARENA + "/api/openenv/submissions", token=token)
if not isinstance(listing, dict) or not isinstance(listing.get("submissions"), list):
return {"error": "Arena submissions unavailable", "response": listing}
records = []
for submission in listing["submissions"]:
if not submission.get("submission_id", "").startswith("mimo-"):
continue
run = submission.get("run") or {}
record = {"submission": submission}
if run.get("run_id"):
base = ARENA + "/api/openenv/runs/" + run["run_id"]
with ThreadPoolExecutor(max_workers=3) as pool:
status = pool.submit(read_json, base, token=token)
events = pool.submit(read_json, base + "/events", token=token)
metrics = pool.submit(trackio, run["dashboard"]) if run.get("dashboard") else None
record.update(run=status.result(), events=events.result())
record["trackio"] = metrics.result() if metrics else {"error": "dashboard unavailable"}
records.append(record)
leaderboard = read_json(ARENA + "/api/leaderboard")
if isinstance(leaderboard, dict) and "entries" in leaderboard:
leaderboard = {
"benchmark": leaderboard.get("benchmark"),
"baseline": leaderboard.get("baseline"),
"entries": [x for x in leaderboard["entries"] if x.get("user") == "akseljoonas"],
"runs": [x for x in leaderboard.get("runs", []) if x.get("user") == "akseljoonas"],
}
# Redact once more across public response bodies before persisting anything.
return json.loads(json.dumps({
"observed_at": datetime.now(timezone.utc).isoformat(),
"submissions": records, "leaderboard": leaderboard,
}).replace(token, "[REDACTED]"))
def main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--output", type=Path, required=True)
args = parser.parse_args()
snapshot = collect()
args.output.parent.mkdir(parents=True, exist_ok=True)
args.output.write_text(json.dumps(snapshot, indent=2) + "\n")
if snapshot.get("error"):
print(json.dumps(snapshot))
raise SystemExit(1)
for record in snapshot["submissions"]:
submission, run = record["submission"], record.get("run", {})
metrics = record.get("trackio", {}).get("summary", {})
print(json.dumps({
"submission_id": submission["submission_id"],
"run_id": run.get("run_id"), "state": run.get("state"),
"policy_version": run.get("policy_version"), "error": run.get("error"),
"slot": submission.get("slot"), "dashboard": (submission.get("run") or {}).get("dashboard"),
"trackio": {k: metrics.get(k) for k in ("error", "num_logs", "last_step", "metrics")}
if isinstance(metrics, dict) else {"error": "unrecognized summary"},
"evaluation": run.get("evaluation") or submission.get("evaluation"),
}))
if __name__ == "__main__":
main()