#!/usr/bin/env python3 """Flatten Pier job outputs into a small JSON and CSV evaluation summary.""" from __future__ import annotations import argparse import csv import json import re from datetime import datetime, timezone from pathlib import Path TRIAL_RE = re.compile(r"^(task_\d{3})__(.+)$") FIELDS = ( "task_id", "trial_id", "reward", "public_passed", "public_collected", "private_passed", "private_collected", "failure_class", "verifier_dir", ) def _load_json(path: Path) -> dict[str, object]: try: value = json.loads(path.read_text(encoding="utf-8")) except (OSError, json.JSONDecodeError): return {} return value if isinstance(value, dict) else {} def _failure_by_trial(job_result: dict[str, object]) -> dict[str, str]: output: dict[str, str] = {} stats = job_result.get("stats") if not isinstance(stats, dict): return output evaluations = stats.get("evals") if not isinstance(evaluations, dict): return output for evaluation in evaluations.values(): if not isinstance(evaluation, dict): continue exceptions = evaluation.get("exception_stats") if not isinstance(exceptions, dict): continue for failure_class, trials in exceptions.items(): if isinstance(trials, list): for trial in trials: output[str(trial)] = str(failure_class) return output def collect_rows(jobs_dir: Path) -> list[dict[str, object]]: rows: list[dict[str, object]] = [] for job_dir in sorted(path for path in jobs_dir.iterdir() if path.is_dir()): job_result = _load_json(job_dir / "result.json") failure_by_trial = _failure_by_trial(job_result) for trial_dir in sorted(path for path in job_dir.iterdir() if path.is_dir()): match = TRIAL_RE.match(trial_dir.name) if not match: continue reward = _load_json(trial_dir / "verifier" / "reward.json") public = reward.get("public") if isinstance(reward.get("public"), dict) else {} private = reward.get("private") if isinstance(reward.get("private"), dict) else {} rows.append( { "task_id": match.group(1).removeprefix("task_"), "trial_id": trial_dir.name, "reward": reward.get("reward", ""), "public_passed": public.get("passed", ""), "public_collected": public.get("collected", ""), "private_passed": private.get("passed", ""), "private_collected": private.get("collected", ""), "failure_class": failure_by_trial.get(trial_dir.name, ""), "verifier_dir": str(trial_dir / "verifier"), } ) return rows def write_summary(jobs_dir: Path, output_dir: Path | None = None) -> tuple[Path, Path]: jobs_dir = jobs_dir.resolve() output_dir = (output_dir or jobs_dir).resolve() output_dir.mkdir(parents=True, exist_ok=True) rows = collect_rows(jobs_dir) payload = { "generated_at": datetime.now(timezone.utc).isoformat(), "jobs_dir": str(jobs_dir), "trial_count": len(rows), "rows": rows, } json_path = output_dir / "summary.json" csv_path = output_dir / "summary.csv" json_path.write_text(json.dumps(payload, indent=2) + "\n", encoding="utf-8") with csv_path.open("w", encoding="utf-8", newline="") as handle: writer = csv.DictWriter(handle, fieldnames=FIELDS, lineterminator="\n") writer.writeheader() writer.writerows(rows) return json_path, csv_path def main() -> int: parser = argparse.ArgumentParser(description=__doc__) parser.add_argument("--jobs-dir", type=Path, default=Path("jobs")) parser.add_argument("--output-dir", type=Path) args = parser.parse_args() json_path, csv_path = write_summary(args.jobs_dir, args.output_dir) print(json.dumps({"summary_json": str(json_path), "summary_csv": str(csv_path)}, indent=2)) return 0 if __name__ == "__main__": raise SystemExit(main())