smoke24-agentic-benchmarks / scripts /validate_public_data.py
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#!/usr/bin/env python3
"""Validate that the public Smoke24 project boundary stays clean."""
from __future__ import annotations
import csv
import json
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
PUBLIC_ROOTS = [
ROOT / "data/public",
ROOT / "reports/public",
ROOT / "dashboard",
ROOT / "scripts",
ROOT / "docs",
]
BANNED_TEXT = (
"BOBSHELL_" + "API_KEY",
"HUGGING_FACE_HUB_" + "TOKEN",
"HF_" + "TOKEN",
"OPENAI_" + "API_KEY",
"ANTHROPIC_" + "API_KEY",
"internal/" + "ibm-bob",
"ornith-1.0-35b-" + "nvfp4",
)
BANNED_COLUMNS = {"api_" + "base", "client_model_" + "arg"}
def read_csv(path: Path) -> list[dict[str, str]]:
with path.open(newline="", encoding="utf-8") as handle:
return list(csv.DictReader(handle))
def validate_text() -> list[str]:
errors: list[str] = []
for root in PUBLIC_ROOTS:
for path in root.rglob("*"):
if "__pycache__" in path.parts:
continue
if not path.is_file() or path.suffix.lower() in {".png", ".jpg", ".jpeg", ".webp", ".pyc"}:
continue
text = path.read_text(encoding="utf-8", errors="ignore")
lowered = text.lower()
for needle in BANNED_TEXT:
if needle.lower() in lowered:
errors.append(f"{path.relative_to(ROOT)} contains banned marker {needle}")
return errors
def validate_csvs() -> list[str]:
errors: list[str] = []
for path in (ROOT / "data/public").rglob("*.csv"):
rows = read_csv(path)
if not rows:
errors.append(f"{path.relative_to(ROOT)} is empty")
continue
fields = set(rows[0])
leaked = sorted(fields & BANNED_COLUMNS)
if leaked:
errors.append(f"{path.relative_to(ROOT)} contains private endpoint columns: {', '.join(leaked)}")
for row in rows:
model_id = (row.get("model_id") or row.get("canonical_model_id") or "").lower()
if model_id.startswith("internal/") or "nvfp4" in model_id:
errors.append(f"{path.relative_to(ROOT)} contains non-public model id {model_id}")
return errors
def validate_dashboard_data() -> list[str]:
errors: list[str] = []
data_path = ROOT / "site/assets/data/report-data.json"
if not data_path.exists():
return errors
data = json.loads(data_path.read_text(encoding="utf-8"))
for row in data.get("models", []):
model_id = str(row.get("model_id") or "").lower()
if model_id.startswith("internal/") or "nvfp4" in model_id:
errors.append(f"site dashboard contains non-public model id {model_id}")
return errors
def main() -> None:
errors = validate_text() + validate_csvs() + validate_dashboard_data()
if errors:
raise SystemExit("Public validation failed:\n" + "\n".join(errors))
print("public data boundary ok")
if __name__ == "__main__":
main()