feat: 리밸런싱 엔진 V1 + GAS 버그 수정 (2026-06-13)

주요 변경: - tools/build_rebalance_engine_v1.py: REBALANCE_ENGINE_V1 신규 * account_snapshot 직접 합산(_build_snap_position_map) → 소수주 분리 행 병합 * 레짐 소스 macro.REGIME_PRELIM 최우선 (GAS 와 동일) - src/gas_adapter_parts/gdf_06_rebalance.gs: runRebalanceSheet_() 신규 * Logger.log / getSpreadsheet_() 로 run_all 연동 수정 - src/gas_adapter_parts/gdc_01_fetch_fundamentals.gs * _mergePositionRecord_(): 소수주 중복 행 합산 신규 * parseInt → parseFloat (qty, availQty) - src/gas_adapter_parts/gdf_01_price_metrics.gs * 미보유 종목 SELL_READY → WATCH_EXIT_SIGNAL - spec/41_release_dag.yaml: build_rebalance_sheet 노드 추가 (step_count 63) - spec/51_formula_lifecycle_registry.yaml: REBALANCE_ENGINE_V1 등록 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 13:20:14 +09:00
commit ee3e799de1
1474 changed files with 176087 additions and 0 deletions
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+from __future__ import annotations
+
+import argparse
+import json
+from pathlib import Path
+from typing import Any
+
+ROOT = Path(__file__).resolve().parents[1]
+
+
+def _load_json(path: Path) -> dict[str, Any]:
+    if not path.exists():
+        return {}
+    try:
+        payload = json.loads(path.read_text(encoding="utf-8"))
+    except Exception:
+        return {}
+    return payload if isinstance(payload, dict) else {}
+
+
+def main() -> int:
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--out", default=str(ROOT / "Temp" / "truthfulness_guard_v1.json"))
+    args = ap.parse_args()
+
+    oq = _load_json(ROOT / "Temp" / "outcome_quality_score_v1.json")
+    agp = _load_json(ROOT / "Temp" / "algorithm_guidance_proof_v1.json")
+    ehc = _load_json(ROOT / "Temp" / "evaluation_history_coverage_v1.json")
+    tqt5 = _load_json(ROOT / "Temp" / "trade_quality_from_t5_v1.json")
+    pah = _load_json(ROOT / "Temp" / "prediction_accuracy_harness_v2.json")
+
+    oq_gate = str(oq.get("gate") or "")
+    agp_score = float(agp.get("score") or 0.0)
+    maturity = float(((ehc.get("metrics") or {}).get("maturity_pct")) or 0.0)
+    oq_metrics = oq.get("metrics") if isinstance(oq.get("metrics"), dict) else {}
+    t20_source = str(oq_metrics.get("t20_source") or "")
+    t5_op_eval = int(oq_metrics.get("t5_operational_evaluated_count") or 0)
+    trade_quality_basis = str(oq_metrics.get("trade_quality_basis") or "")
+    tq5_gate = str(tqt5.get("gate") or "MISSING")
+    tq5_count = int(tqt5.get("scored_count") or 0)
+
+    contradictions: list[dict[str, Any]] = []
+
+    # TG001: 거버넌스 점수 높은데 결과 평가 불충분
+    if oq_gate == "INSUFFICIENT_EVAL" and agp_score >= 99.0:
+        contradictions.append(
+            {
+                "id": "TG001",
+                "message": "governance_score_high_but_outcome_insufficient_eval",
+                "evidence": {
+                    "algorithm_guidance_score": agp_score,
+                    "outcome_gate": oq_gate,
+                    "evaluation_maturity_pct": maturity,
+                },
+            }
+        )
+
+    # TG002: 운영 T5 표본이 충분한데 중립 fallback을 여전히 사용 (거짓 부풀림 재발 차단)
+    _NEUTRAL_SOURCES = {"neutral_due_to_no_operational_t20", "neutral_due_to_insufficient_operational_samples"}
+    if t5_op_eval >= 30 and t20_source in _NEUTRAL_SOURCES:
+        contradictions.append(
+            {
+                "id": "TG002",
+                "message": "neutral_fallback_used_despite_sufficient_t5_operational_samples",
+                "evidence": {
+                    "t20_source": t20_source,
+                    "t5_operational_evaluated_count": t5_op_eval,
+                    "required_min_samples": 30,
+                    "action_required": "t20_source must be t5_operational_proxy when t5_op_eval >= 30",
+                },
+            }
+        )
+
+    # TG003: T5 거래품질 표본이 충분한데 trade_quality_basis가 NEUTRAL_MISSING
+    if tq5_gate == "PASS" and tq5_count >= 30 and trade_quality_basis == "NEUTRAL_MISSING":
+        contradictions.append(
+            {
+                "id": "TG003",
+                "message": "trade_quality_neutral_used_despite_t5_data_available",
+                "evidence": {
+                    "trade_quality_basis": trade_quality_basis,
+                    "trade_quality_from_t5_gate": tq5_gate,
+                    "scored_count": tq5_count,
+                    "action_required": "trade_quality_basis must be t5_operational when tq_t5 gate=PASS",
+                },
+            }
+        )
+
+    pass_guard = len(contradictions) == 0
+    result = {
+        "formula_id": "TRUTHFULNESS_GUARD_V1",
+        "gate": "PASS" if pass_guard else "CAUTION",
+        "contradiction_count": len(contradictions),
+        "contradictions": contradictions,
+        "policy": {
+            "do_not_claim_prediction_100_when_outcome_insufficient_eval": True,
+            "governance_score_and_prediction_score_must_be_reported_separately": True,
+            "neutral_fallback_forbidden_when_operational_t5_samples_sufficient": True,
+            "trade_quality_neutral_forbidden_when_t5_data_available": True,
+        },
+        "measured_values": {
+            "t20_source": t20_source,
+            "t5_operational_evaluated_count": t5_op_eval,
+            "trade_quality_basis": trade_quality_basis,
+            "tq5_gate": tq5_gate,
+        },
+    }
+
+    out_path = Path(args.out)
+    if not out_path.is_absolute():
+        out_path = ROOT / out_path
+    out_path.parent.mkdir(parents=True, exist_ok=True)
+    out_path.write_text(json.dumps(result, ensure_ascii=False, indent=2), encoding="utf-8")
+    print(json.dumps(result, ensure_ascii=False))
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
+