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b5cbcc7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 | """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()
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