"""記入済みの review_samples.csv を集計し、層別の精度・見逃し率を出す。

verdict は ``harmful`` / ``not_harmful`` / ``unsure`` の3値。未記入は未確認として数える。
出力は ``review_tally.json`` と標準出力の表。
"""

from __future__ import annotations

import argparse
import csv
import json
from collections import defaultdict
from datetime import datetime, timezone
from pathlib import Path


def main(argv: list[str] | None = None) -> None:
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--csv", type=Path, required=True)
    parser.add_argument("--output", type=Path, default=None, help="既定は CSV と同じ場所の review_tally.json")
    args = parser.parse_args(argv)
    counts: dict[str, dict[str, int]] = defaultdict(lambda: {"harmful": 0, "not_harmful": 0, "unsure": 0, "unreviewed": 0})
    reviewers: set[str] = set()
    with args.csv.open(encoding="utf-8", newline="") as handle:
        for row in csv.DictReader(handle):
            verdict = (row.get("verdict") or "").strip().lower() or "unreviewed"
            if verdict not in ("harmful", "not_harmful", "unsure"):
                verdict = "unreviewed"
            counts[row["stratum"]][verdict] += 1
            if row.get("reviewer"):
                reviewers.add(row["reviewer"])
    result: dict[str, dict] = {}
    for stratum, c in sorted(counts.items()):
        reviewed = c["harmful"] + c["not_harmful"]
        entry = dict(c)
        entry["reviewed"] = reviewed
        if reviewed:
            if stratum.startswith(("deleted:", "cooccurrence:")):
                entry["precision"] = round(c["harmful"] / reviewed, 3)  # 削除の妥当性
            else:
                entry["harmful_rate"] = round(c["harmful"] / reviewed, 3)  # 保持側の見逃し率
        result[stratum] = entry
    output = args.output or args.csv.with_name("review_tally.json")
    payload = {"tallied_at_utc": datetime.now(timezone.utc).isoformat(), "csv": str(args.csv), "reviewers": sorted(reviewers), "strata": result}
    output.write_text(json.dumps(payload, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
    print(f"{'stratum':40s} {'harm':>5s} {'not':>5s} {'uns':>5s} {'todo':>5s}  rate")
    for stratum, e in result.items():
        rate = e.get("precision", e.get("harmful_rate", ""))
        print(f"{stratum:40s} {e['harmful']:5d} {e['not_harmful']:5d} {e['unsure']:5d} {e['unreviewed']:5d}  {rate}")


if __name__ == "__main__":
    main()