#!/usr/bin/env python3
from __future__ import annotations

import argparse
import json
from pathlib import Path
import shutil

ROOT = Path(__file__).resolve().parents[1]
START = ">>>>> Start Structured Result"
END = ">>>>> End Structured Result"


def main() -> int:
    parser = argparse.ArgumentParser()
    parser.add_argument("--run-dir", type=Path, required=True)
    args = parser.parse_args()
    data = args.run_dir / "data" if (args.run_dir / "data").is_dir() else args.run_dir
    provenance = json.loads((data / "provenance.json").read_text(encoding="utf-8"))
    raw = (args.run_dir / "baseline-output.txt").read_text(encoding="utf-8")
    baseline = json.loads(raw.split(START, 1)[1].split(END, 1)[0].strip())
    evidence = ROOT / "provenance"
    evidence.mkdir(parents=True, exist_ok=True)
    shutil.copyfile(data / "provenance.json", evidence / "data_build_provenance.json")
    report = {
        "status": "PASS" if baseline.get("valid") and baseline.get("pass_rate") == 1.0 else "FAIL",
        "experiment": "starter baseline trained on all DS1 beats and evaluated once on hidden DS2 labels",
        "environment": {
            "numpy": "1.26.4",
            "scipy": "1.12.0",
            "scikit_learn": "1.4.2",
            "pandas": "2.2.3",
            "wfdb": "4.1.2"
        },
        "data": {
            "train_beats": provenance["splits"]["train"]["beats"],
            "test_beats": provenance["splits"]["test"]["beats"],
            "train_class_counts": provenance["splits"]["train"]["class_counts"],
            "test_class_counts": provenance["splits"]["test"]["class_counts"],
            "source_files": len(provenance["files"]),
            "array_sha256": {
                **provenance["splits"]["train"]["array_sha256"],
                **provenance["splits"]["test"]["array_sha256"]
            }
        },
        "result": baseline,
        "qualification_boundary": "One real baseline run proves executability and score headroom, not 12-hour frontier-agent difficulty or official EdgeBench acceptance."
    }
    (ROOT / "baseline_report.json").write_text(json.dumps(report, indent=2, sort_keys=True) + "\n", encoding="utf-8")
    return 0


if __name__ == "__main__":
    raise SystemExit(main())