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004acc0 | 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 55 56 | """CLI: compare style detectors on the realism corpus (debug)."""
from __future__ import annotations
import json
import logging
import sys
from datetime import datetime, timezone
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
sys.path.insert(0, str(ROOT))
from app.style_eval import run_style_detector_eval # noqa: E402
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s %(levelname)s [%(name)s] %(message)s",
)
logger = logging.getLogger("run_style_debug_eval")
def main() -> int:
count = int(sys.argv[1]) if len(sys.argv) > 1 else 12
out_dir = Path(__file__).resolve().parent / "out"
out_dir.mkdir(parents=True, exist_ok=True)
from app.api import _settings_from_db
settings = _settings_from_db()
logger.info("starting style detector compare count_per_class=%s", count)
result = run_style_detector_eval(count_per_class=count, settings=settings)
stamp = datetime.now(timezone.utc).strftime("%Y%m%dT%H%M%SZ")
latest = out_dir / "style_debug_eval_latest.json"
stamped = out_dir / f"style_debug_eval_{stamp}.json"
text = json.dumps(result, indent=2)
latest.write_text(text, encoding="utf-8")
stamped.write_text(text, encoding="utf-8")
oc = result.get("overall_conclusion") or {}
print(
f"decision={oc.get('decision')} best={oc.get('best_detector')} "
f"wrote={latest}"
)
for report in result.get("reports") or []:
t = (report.get("conclusion") or {}).get("typical_metrics") or {}
print(
f" {report.get('detector_id')}: {report.get('conclusion', {}).get('decision')} "
f"P={t.get('precision')} R={t.get('recall')} F1={t.get('f1')} "
f"animeFP={t.get('anime_false_positive_rate')} "
f"uncertain={report.get('conclusion', {}).get('uncertain_count')}"
)
return 0
if __name__ == "__main__":
raise SystemExit(main())
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