"""Schema for evaluation results produced by Hugging Face Jobs and consumed by the Space.""" from __future__ import annotations from typing import Any ARTIFACT_SCHEMA_VERSION = 1 def default_remote_artifact_path(job_id: str) -> str: """Hub bucket path for a remote eval JSON artifact.""" jid = (job_id or "").strip().replace("/", "_") return f"results/remote_artifacts/{jid}.json" def normalize_artifact_bucket_path(artifact_ref: str) -> str: """ Resolve a moderator-entered artifact reference to a bucket path. Accepts ``jobid.json``, ``jobid``, or ``results/remote_artifacts/jobid.json``. """ ref = (artifact_ref or "").strip().replace("\\", "/").lstrip("/") if not ref: raise ValueError("Enter a JSON artifact file name or bucket path.") if ".." in ref.split("/"): raise ValueError("Invalid artifact path.") if "/" not in ref: ref = f"results/remote_artifacts/{ref}" if not ref.lower().endswith(".json"): ref = f"{ref}.json" return ref def build_artifact( *, model_id: str, family_id: str, result: dict[str, Any], job_id: str = "", logs_tail: str = "", ) -> dict[str, Any]: """Wrap ``run_evaluation`` output for upload + validation on the Space.""" return { "schema_version": ARTIFACT_SCHEMA_VERSION, "job_id": job_id, "model_id": model_id, "family_id": family_id, "result": dict(result), "logs_tail": (logs_tail or "")[-8000:], } def extract_result_or_raise(data: dict[str, Any]) -> dict[str, Any]: """ If the worker uploaded a failure envelope (``error`` field), raise ``RuntimeError``. Otherwise return validated ``result``. """ if not isinstance(data, dict): raise ValueError("artifact must be a JSON object") err = data.get("error") if err: raise RuntimeError(str(err)) return validate_remote_artifact(data) def validate_remote_artifact(data: dict[str, Any]) -> dict[str, Any]: """ Validate top-level remote artifact and return the inner ``result`` dict. Raises ``ValueError`` if the payload is not acceptable for leaderboard merge. """ if not isinstance(data, dict): raise ValueError("artifact must be a JSON object") ver = data.get("schema_version") if ver != ARTIFACT_SCHEMA_VERSION: raise ValueError(f"unsupported schema_version: {ver!r} (expected {ARTIFACT_SCHEMA_VERSION})") result = data.get("result") if not isinstance(result, dict): raise ValueError("artifact.result must be an object") mid = str(result.get("model_id", "")).strip() if not mid: raise ValueError("artifact.result.model_id is required") if str(result.get("eval_family", "")).strip() == "": raise ValueError("artifact.result.eval_family is required") return result