from __future__ import annotations import argparse import json from pathlib import Path from typing import Any from .provenance import require_file def audit_regressor_ablation(run_dir: str | Path) -> dict[str, Any]: root = Path(run_dir) summary = json.loads(require_file(root / "metrics" / "regressor_ablation_summary.json", "regressor ablation summary").read_text(encoding="utf-8")) audit = json.loads(require_file(root / "metrics" / "regressor_audit_metrics.json", "regressor audit metrics").read_text(encoding="utf-8")) payload = { "run_dir": str(root), "recommended_strategy_final": summary.get("recommended_strategy_final"), "recommended_reason": summary.get("recommended_reason"), "regressor_adds_value": summary.get("regressor_adds_value"), "fixed_score_regressor_name": audit.get("fixed_score_regressor_name"), "fixed_score_regressor_target": audit.get("fixed_score_regressor_target"), "regressor_reason": audit.get("regressor_reason"), } (root / "regressor_ablation_audit.md").write_text( "\n".join( [ f"# audit-regressor-ablation: {root.name}", "", f"- recommended_strategy_final: `{payload['recommended_strategy_final']}`", f"- recommended_reason: `{payload['recommended_reason']}`", f"- regressor_adds_value: `{payload['regressor_adds_value']}`", f"- fixed_score_regressor_name: `{payload['fixed_score_regressor_name']}`", f"- fixed_score_regressor_target: `{payload['fixed_score_regressor_target']}`", f"- regressor_reason: `{payload['regressor_reason']}`", ] ) + "\n", encoding="utf-8", ) return payload def build_arg_parser() -> argparse.ArgumentParser: parser = argparse.ArgumentParser(description="Audit a completed regressor ablation benchmark run.") parser.add_argument("--run-dir", required=True) return parser def run_from_args(args: argparse.Namespace) -> dict[str, Any]: return audit_regressor_ablation(args.run_dir) def main() -> int: print(json.dumps(run_from_args(build_arg_parser().parse_args()), indent=2)) return 0 if __name__ == "__main__": raise SystemExit(main())