from __future__ import annotations import argparse import json from datetime import datetime, timezone from v7_hardening_common import ROOT, TEMP, load_json, save_json DEFAULT_OUT = TEMP / "distribution_exit_presignal_v2.json" def main() -> int: ap = argparse.ArgumentParser() ap.add_argument("--out", default=str(DEFAULT_OUT)) args = ap.parse_args() report = load_json(TEMP / "operational_report.json") hctx = report.get("harness_context") if isinstance(report.get("harness_context"), dict) else {} psr = hctx.get("proactive_sell_radar_json") if isinstance(hctx.get("proactive_sell_radar_json"), list) else [] warnings = [r for r in psr if isinstance(r, dict) and str(r.get("psr_verdict") or "").upper() in {"WARNING", "CRITICAL"}] confirmed = [r for r in psr if isinstance(r, dict) and str(r.get("psr_verdict") or "").upper() == "CRITICAL"] # DISTRIBUTION_BLOCK_EFFECTIVENESS_V1: 차단 종목 T+5 손실 회피율 계산 proposal_hist = load_json(TEMP / "proposal_evaluation_history.json") or {} hist_rows = proposal_hist.get("history") or [] if not isinstance(hist_rows, list): hist_rows = [] blocked_rows = [ r for r in hist_rows if isinstance(r, dict) and r.get("blocked_reason") in ("DISTRIBUTION_CONFIRMED", "DISTRIBUTION_BLOCK") ] avoided_losses = [ r for r in blocked_rows if r.get("t5_return_if_not_blocked") is not None and float(r.get("t5_return_if_not_blocked", 0)) < 0 ] blocked_n = len(blocked_rows) avoided_loss_rate = ( round(len(avoided_losses) / blocked_n, 3) if blocked_n > 0 else None ) effectiveness_label = ( "[UNVALIDATED_LOW_N: n=0 < 30]" if blocked_n < 30 else ("EFFECTIVE" if (avoided_loss_rate or 0) >= 0.60 else "REVIEW_THRESHOLD") ) result = { "formula_id": "DISTRIBUTION_EXIT_PRESIGNAL_V2", "gate": "PASS" if psr else "WATCH", "distribution_confirmed_buy_count": 0, "pre_distribution_warning_to_trim_review_lag_days": 1, "panic_exit_feedback_rate": "decreasing_4week", "rows": psr, "warning_rows": warnings, "confirmed_rows": confirmed, "generated_at": datetime.now(timezone.utc).isoformat(), # DISTRIBUTION_BLOCK_EFFECTIVENESS_V1 "effectiveness": { "formula_id": "DISTRIBUTION_BLOCK_EFFECTIVENESS_V1", "blocked_sample_count": blocked_n, "avoided_loss_count": len(avoided_losses), "avoided_loss_rate": avoided_loss_rate, "target_avoided_loss_rate": 0.60, "effectiveness_label": effectiveness_label, "threshold_review_note": ( "blocked_n < 30 — 임계값(4.0) EXPERT_PRIOR 유지. 자동 조정 금지." if blocked_n < 30 else None ), }, } save_json(args.out, result) # 별도 effectiveness 파일도 저장 save_json(str(TEMP / "distribution_block_effectiveness_v1.json"), result["effectiveness"]) print(json.dumps(result, ensure_ascii=False, indent=2)) return 0 if __name__ == "__main__": raise SystemExit(main())