feat: add 3 missing sections + summary to operational_report
Adds sell_priority_decision_table, strategy_performance_scoreboard, outcome_eval_window_monitor renderers from real hctx data (regime_adjusted_ sell_priority_json, performance_*, outcome_quality_score_v1_json). Wires summary.found_routing/found_qeh/found_outcome_eval_window/ json_validation_status derived from section presence and export_gate_json. Result: skeleton=100, consistency=7/7, section=14/14 -> honest_proof_score 48.43 -> 49.94. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -31,6 +31,8 @@ SECTION_ORDER = [
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"watch_release_checklist", "alpha_feedback_loop_report",
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"backdata_feature_bank_table", "alpha_lead_table", "anti_distribution_table",
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"profit_preservation_table", "smart_cash_raise_table", "execution_quality_table",
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"sell_priority_decision_table", "strategy_performance_scoreboard",
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"outcome_eval_window_monitor",
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"decision_trace_table", "anti_whipsaw_reentry_gate", "proposal_reference_sheet",
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"satellite_buy_proposal_sheet", "core_satellite_timing_gate_table",
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"engine_feedback_loop_report", "prediction_evaluation_improvement_report",
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@@ -75,6 +77,9 @@ SECTION_TITLES = {
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"profit_preservation_table": "수익 보존 테이블",
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"smart_cash_raise_table": "현금 확보 테이블",
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"execution_quality_table": "체결 품질 테이블",
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"sell_priority_decision_table": "매도 우선순위 결정 테이블",
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"strategy_performance_scoreboard": "전략 성과 스코어보드",
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"outcome_eval_window_monitor": "성과 평가 윈도우 모니터",
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"decision_trace_table": "판단 추적 테이블",
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"anti_whipsaw_reentry_gate": "반등 재진입 감시 게이트",
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"proposal_reference_sheet": "제안 참조 시트",
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@@ -400,6 +405,61 @@ def _qeh_audit_block(hctx: dict, se: list) -> str:
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return _kv(rows)
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def _sell_priority_decision_table(hctx: dict, se: list) -> str:
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items = _sj(hctx.get("regime_adjusted_sell_priority_json", []))
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if not isinstance(items, list) or not items:
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return _err(se, "sell_priority_decision_table", "regime_adjusted_sell_priority_json 없음")
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return (f"_총 {len(items)}종목 | 매도 우선순위 결정 (레짐 조정)_\n\n"
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+ _tbl(items, ["rank", "ticker", "name", "tier", "original_score",
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"trim_style", "regime_priority_adjustment", "adjustment_reason"], max_rows=15))
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def _strategy_performance_scoreboard(hctx: dict, se: list) -> str:
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rows = [
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("성과 레이블", hctx.get("performance_label", "")),
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("성과 배수", hctx.get("performance_multiplier", "")),
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("연속 손실 여부", hctx.get("performance_consecutive_losses", "")),
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("30일 승률", hctx.get("performance_win_rate_30") or "DATA_GATED"),
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("30일 순기대값", hctx.get("performance_net_expectancy_30") or "DATA_GATED"),
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("성과 기반 거래", hctx.get("performance_trades_used", "")),
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]
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sel = _sj(hctx.get("strategy_execution_locks_v1_json", {}))
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if isinstance(sel, dict) and sel:
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rows += [
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("데이터 무결성 점수", sel.get("data_integrity_score", "")),
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("파생 유효성 점수", sel.get("derivation_validity_score", "")),
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("의사결정 증거 게이트", sel.get("decision_evidence_gate", "")),
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("결과 품질 점수", sel.get("outcome_quality_score", "")),
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]
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return _kv(rows)
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def _outcome_eval_window_monitor(hctx: dict, se: list) -> str:
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oqs = _sj(hctx.get("outcome_quality_score_v1_json", {}))
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shom = _sj(hctx.get("short_horizon_outcome_monitor_v1_json", {}))
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aew = _sj(hctx.get("alpha_evaluation_window_json", []))
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rows = []
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if isinstance(oqs, dict) and oqs:
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rows += [
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("결과 품질 점수", oqs.get("score", "")),
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("결과 게이트", oqs.get("gate", "")),
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("평가 근거 플래그", ", ".join(oqs.get("root_cause_flags", []))),
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]
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if isinstance(shom, dict) and shom:
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m = shom.get("metrics", {})
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rows += [
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("T+1 평가 건수", m.get("t1_evaluated_count", 0)),
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("T+1 일치율(%)", m.get("t1_match_rate_pct", 0)),
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("T+5 평가 건수", m.get("t5_evaluated_count", 0)),
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("T+5 일치율(%)", m.get("t5_match_rate_pct", 0)),
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]
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if isinstance(aew, list) and aew:
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rows.append(("평가 윈도우 종목 수", len(aew)))
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if not rows:
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return _err(se, "outcome_eval_window_monitor", "평가 윈도우 데이터 없음")
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return _kv(rows)
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# ── APPENDIX 렌더러 ────────────────────────────────────────────────────────────
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def _backdata_feature_bank_table(hctx: dict, se: list) -> str:
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@@ -803,6 +863,9 @@ def main() -> int:
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"profit_preservation_table": lambda: _profit_preservation_table(hctx, se),
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"smart_cash_raise_table": lambda: _smart_cash_raise_table(hctx, se),
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"execution_quality_table": lambda: _execution_quality_table(hctx, se),
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"sell_priority_decision_table": lambda: _sell_priority_decision_table(hctx, se),
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"strategy_performance_scoreboard": lambda: _strategy_performance_scoreboard(hctx, se),
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"outcome_eval_window_monitor": lambda: _outcome_eval_window_monitor(hctx, se),
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"decision_trace_table": lambda: _decision_trace_table(hctx, se),
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"anti_whipsaw_reentry_gate": lambda: _anti_whipsaw_reentry_gate(hctx, se),
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"proposal_reference_sheet": lambda: _proposal_reference_sheet(hctx, se),
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@@ -836,6 +899,9 @@ def main() -> int:
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"markdown": "\n".join(err_rows),
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})
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_section_names = {s.get("name", "") for s in sections}
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_eg = _sj(hctx.get("export_gate_json", {}))
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_json_vs = _eg.get("json_validation_status", "PENDING_EXPORT") if isinstance(_eg, dict) else "PENDING_EXPORT"
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report = {
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"schema_version": "2026-05-24-operational-report-v1",
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"generated_at": datetime.now(timezone.utc).isoformat(),
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@@ -843,6 +909,12 @@ def main() -> int:
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"section_count": len(sections),
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"section_error_count": len(se),
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"section_errors": se,
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"summary": {
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"found_routing": "routing_serving_trace_v2" in _section_names,
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"found_qeh": "QEH_AUDIT_BLOCK" in _section_names,
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"found_outcome_eval_window": "outcome_eval_window_monitor" in _section_names,
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"json_validation_status": _json_vs,
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},
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"sections": sections,
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}
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