feat(quant-engine): v8.9 제안서 P0-P3 로드맵 채택 — 15개 의사결정 엔진 신규 구현
suggest/quant_investment_engine_v8_9_portfolio_optimizer_canonical_refactored.yaml의
implementation_todo_v8_9(P0~P4) 전체를 spec/tool/golden case 레벨로 구현.
- P0: PORTFOLIO_TRANSITION_UTILITY_V1, SELL_LOT_PARETO_SELECTOR_V1, FORECAST_SIMULATION_ENGINE_V1
- P1: SECTOR_EXPOSURE_GRAPH_V1/LEADER_LIFECYCLE_GATE_V1, EXECUTION_CAPACITY_LADDER_V1, MODEL_GOVERNANCE_KILL_SWITCH_V1
- P2: SCENARIO_SHOCK_MATRIX_V1, TRANSITION_SET_ENUMERATOR_V1, IMMUTABLE_DECISION_LEDGER_V1, EXECUTION_PLAN_COMPILER_V1
- P3: STATE_VECTOR_CONSTRUCTOR_V1, WALK_FORWARD_BOOTSTRAP_V1, TRANSITION_SET_ENUMERATOR_V1(MRC/CVaR 확장),
REBALANCE_CADENCE_GATE_V1, WEEKLY_LEGACY_TRANSFER_PLAN_V1
기존 regime/cluster 연동 정책 수치(현금방어선, 반도체 cap)는 그대로 유지하고 신규 cap 필드만 추가.
spec/09_decision_flow.yaml과 runtime/active_artifact_manifest.yaml에 전 엔진 배선 완료.
governance/todo/v8_9_p{0,1,2,3}_adoption_plan.yaml에 각 단계 작업 추적 기록.
검증: validate_specs/validate_golden_coverage_100(100%)/validate_calibration_registry_v1/
validate_schema_model_generation_v1/validate_agents_shrink_v1 전부 PASS. golden test 53/53 PASS.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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#!/usr/bin/env python3
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"""IMMUTABLE_DECISION_LEDGER_V1 — spec/formulas/domains/governance.yaml.
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Append-only decision log. Refuses to append a duplicate decision_id and never
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mutates an existing record. governance/todo/v8_9_p2_adoption_plan.yaml P2-C.
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"""
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from __future__ import annotations
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import argparse
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import json
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from datetime import datetime, timezone
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from pathlib import Path
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ROOT = Path(__file__).resolve().parents[1]
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DEFAULT_LEDGER = ROOT / "Temp" / "immutable_decision_ledger_v1.json"
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DEFAULT_DECISION = ROOT / "Temp" / "portfolio_transition_optimizer_v1.json"
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REQUIRED_FIELDS = [
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"decision_id",
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"engine_version",
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"input_hash_bundle",
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"execution_mode",
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"candidate_ids",
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]
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def _load_ledger(path: Path) -> dict:
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if not path.exists():
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return {"formula_id": "IMMUTABLE_DECISION_LEDGER_V1", "records": []}
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try:
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data = json.loads(path.read_text(encoding="utf-8"))
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if isinstance(data, dict) and isinstance(data.get("records"), list):
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return data
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return {"formula_id": "IMMUTABLE_DECISION_LEDGER_V1", "records": []}
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except Exception:
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return {"formula_id": "IMMUTABLE_DECISION_LEDGER_V1", "records": []}
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def append_decision(ledger: dict, decision: dict) -> tuple[dict, str]:
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missing = [f for f in REQUIRED_FIELDS if decision.get(f) is None]
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if missing:
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return ledger, "REJECTED_MISSING_FIELDS"
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decision_id = decision["decision_id"]
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existing_ids = {r["decision_id"] for r in ledger["records"]}
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if decision_id in existing_ids:
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return ledger, "DUPLICATE_DECISION_ID"
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record = {
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"decision_id": decision_id,
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"timestamp": decision.get("timestamp") or datetime.now(timezone.utc).isoformat(),
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"engine_version": decision["engine_version"],
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"input_hash_bundle": decision["input_hash_bundle"],
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"execution_mode": decision["execution_mode"],
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"candidate_ids": decision["candidate_ids"],
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"selected_transition_id": decision.get("selected_transition_id"),
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"hard_blocks": decision.get("hard_blocks", []),
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"transition_utility_krw": decision.get("transition_utility_krw"),
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"operator_override": decision.get("operator_override", False),
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"order_ids": decision.get("order_ids", []),
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"fill_prices": decision.get("fill_prices", []),
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"slippage": decision.get("slippage"),
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"T1_return": None,
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"T5_return": None,
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"T20_return": None,
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"MAE": None,
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"MFE": None,
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}
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new_ledger = {**ledger, "records": ledger["records"] + [record]}
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return new_ledger, "APPENDED"
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def main() -> int:
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ap = argparse.ArgumentParser()
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ap.add_argument("--ledger", default=str(DEFAULT_LEDGER))
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ap.add_argument("--decision", default=str(DEFAULT_DECISION))
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args = ap.parse_args()
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ledger = _load_ledger(Path(args.ledger))
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decision_doc = {}
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decision_path = Path(args.decision)
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if decision_path.exists():
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try:
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decision_doc = json.loads(decision_path.read_text(encoding="utf-8"))
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except Exception:
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decision_doc = {}
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decision = {
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"decision_id": decision_doc.get("packet_id") or decision_doc.get("formula_id"),
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"engine_version": "PORTFOLIO_TRANSITION_UTILITY_V1",
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"input_hash_bundle": decision_doc.get("input_hash") or "unknown",
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"execution_mode": decision_doc.get("execution_mode") or decision_doc.get("final_action"),
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"candidate_ids": [c.get("candidate_id") for c in decision_doc.get("candidate_actions", [])],
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"selected_transition_id": (decision_doc.get("selected_transition") or {}).get("candidate_id"),
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"hard_blocks": decision_doc.get("reason_codes", []),
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"transition_utility_krw": (decision_doc.get("selected_transition") or {}).get("transition_utility_krw"),
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}
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new_ledger, status = append_decision(ledger, decision)
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new_ledger["status"] = status
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out = Path(args.ledger)
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if status == "APPENDED":
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out.write_text(json.dumps(new_ledger, ensure_ascii=False, indent=2), encoding="utf-8")
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print(json.dumps({"formula_id": "IMMUTABLE_DECISION_LEDGER_V1", "ledger_append_status": status}, ensure_ascii=False, indent=2))
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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