from __future__ import annotations import re from pathlib import Path from typing import Any TEXT_SUFFIXES = {".md", ".py", ".json", ".jsonl", ".toml", ".yaml", ".yml", ".txt"} FORBIDDEN = { "Hugging Face access token": re.compile("h" + r"f_[A-Za-z0-9]{20,}"), "macOS user path": re.compile("/" + r"Users/[^/\s]+/"), "Linux user path": re.compile("/" + r"home/[^/\s]+/"), "private key": re.compile(r"-----BEGIN (?:RSA |OPENSSH |EC )?PRIVATE KEY-----"), "loopback URL in public result": re.compile(r"https?://(?:127\.0\.0\.1|localhost):\d+"), } PUBLIC_METADATA_KEYS = { "target_prompt_tokens", "requested_position", "actual_position", "query_placement", "family", "matrix", "agentic_control_profile", "agentic_set", "agentic_family", "real_repo", "max_turns", "max_tool_calls", } PUBLIC_TELEMETRY_KEYS = { "wall_s", "ttft_s", "prompt_tokens", "completion_tokens", "cached_tokens", "end_to_end_tokens_per_second", "prefill_tokens_per_second", "decode_tokens_per_second", "active_memory_bytes", "peak_memory_bytes", "tool_call_count", "dispatched_tool_call_count", "blocked_duplicate_count", "blocked_stall_count", "terminal_correction_count", "format_normalization_count", "receipt_projection_count", } PUBLIC_REQUEST_OVERRIDE_KEYS = { "temperature", "top_p", "top_k", "max_tokens", "reasoning_effort", "thinking", "mtp_depth", "speculative_depth", } def scan_public_tree(root: Path) -> dict[str, Any]: failures = [] for path in sorted(root.rglob("*")): if not path.is_file() or path.suffix.lower() not in TEXT_SUFFIXES: continue relative = path.relative_to(root).as_posix() if any(part in {".git", ".pytest_cache", "__pycache__"} for part in path.parts): continue text = path.read_text(encoding="utf-8", errors="replace") for label, pattern in FORBIDDEN.items(): if pattern.search(text): failures.append({"file": relative, "issue": label}) return {"ok": not failures, "failures": failures, "files_scanned": sum(1 for p in root.rglob("*") if p.is_file())} def _public_scalar(value: Any) -> bool: return value is None or isinstance(value, (bool, int, float, str)) def _error_category(error: Any) -> str | None: if error in (None, ""): return None text = str(error).lower() if "timeout" in text or "timed out" in text: return "timeout" if "budget" in text: return "budget_exceeded" if "missing required calls" in text: return "missing_required_calls" if "forbidden calls" in text: return "forbidden_calls" if "prompt token" in text or "token count" in text: return "token_count_mismatch" if "http" in text or "api" in text or "request" in text: return "request_error" return "evaluation_error" def sanitize_result_row(row: dict[str, Any]) -> dict[str, Any]: metadata = { key: value for key, value in (row.get("metadata") or {}).items() if key in PUBLIC_METADATA_KEYS and _public_scalar(value) } telemetry = { key: value for key, value in (row.get("telemetry") or {}).items() if key in PUBLIC_TELEMETRY_KEYS and _public_scalar(value) } return { "schema_version": "1.0-public", "suite_id": str(row.get("suite_id") or ""), "case_id": str(row.get("case_id") or ""), "lane": str(row.get("lane") or ""), "variant": str(row.get("variant") or ""), "passed": bool(row.get("passed")), "score": float(row.get("score") or 0), "score_max": float(row.get("score_max") or 0), "error_category": _error_category(row.get("error")), "telemetry": telemetry, "metadata": metadata, } def _sanitize_request_overrides(value: Any) -> dict[str, Any]: if not isinstance(value, dict): return {} clean: dict[str, Any] = {} for key, item in value.items(): if key not in PUBLIC_REQUEST_OVERRIDE_KEYS: continue if key == "thinking" and isinstance(item, dict): clean[key] = {"enabled": bool(item.get("enabled"))} elif _public_scalar(item): clean[key] = item return clean def sanitize_manifest(manifest: dict[str, Any]) -> dict[str, Any]: variants = [] for variant in manifest.get("variants") or []: if not isinstance(variant, dict): continue variants.append( { "label": str(variant.get("label") or ""), "request_overrides": _sanitize_request_overrides( variant.get("request_overrides") ), } ) clean: dict[str, Any] = { "schema_version": "1.0-public", "suite_id": str(manifest.get("suite_id") or ""), "benchmark_version": str(manifest.get("benchmark_version") or ""), "config_sha256": manifest.get("config_sha256"), "tokenizer_fingerprint": manifest.get("tokenizer_fingerprint"), "planned_cases": manifest.get("planned_cases"), "requested_prompt_tokens": manifest.get("requested_prompt_tokens"), "variants": variants, "claim_policy": { "raw_model_outputs_included": False, "quality_and_performance_separate": True, "single_aggregate_intelligence_score": False, }, } for key in ( "evaluated_artifact", "benchmark_source", "agentic_control_profile", "agentic_set", ): value = manifest.get(key) if key in {"evaluated_artifact", "benchmark_source"} and isinstance(value, dict): clean[key] = { "repo_id": str(value.get("repo_id") or ""), "revision": str(value.get("revision") or ""), } elif _public_scalar(value) and value is not None: clean[key] = value return {key: value for key, value in clean.items() if value is not None}