"""build_final_execution_decision_v4.py — FINAL_EXECUTION_DECISION_V4

P0-004: 하위 엔진 execution_allowed를 child_engine_internal_allowed로 명시적 분리.
global_execution_gate != HTS_READY이면 buy/sell/hts_order_count를 강제 0으로 잠금.
LLM이 "child_engine_internal_allowed=true"를 HTS 실행 허가로 오독하는 경로를 차단한다.
"""
from __future__ import annotations

import argparse
import hashlib
import json
from datetime import datetime, timezone
from pathlib import Path
from typing import Any


ROOT = Path(__file__).resolve().parents[1]
DEFAULT_JSON = ROOT / "GatherTradingData.json"
DEFAULT_TRUTH = ROOT / "Temp" / "operational_truth_score_v1.json"
DEFAULT_FJ = ROOT / "Temp" / "final_judgment_gate_v1.json"
DEFAULT_SCR = (
    ROOT / "Temp" / "smart_cash_recovery_v7.json"
    if (ROOT / "Temp" / "smart_cash_recovery_v7.json").exists()
    else ROOT / "Temp" / "smart_cash_recovery_v6.json"
)
DEFAULT_HARDENING = ROOT / "Temp" / "strategy_hardening_harness_v2.json"
DEFAULT_MATRIX = ROOT / "Temp" / "execution_readiness_matrix_v1.json"
DEFAULT_OUT = ROOT / "Temp" / "final_execution_decision_v4.json"


def _load(path: Path) -> dict[str, Any]:
    if not path.exists():
        return {}
    try:
        obj = json.loads(path.read_text(encoding="utf-8"))
    except Exception:
        return {}
    return obj if isinstance(obj, dict) else {}


def _f(v: Any, default: float = 0.0) -> float:
    try:
        return float(v)
    except Exception:
        return default


def _rows(v: Any) -> list[dict[str, Any]]:
    if isinstance(v, list):
        return [x for x in v if isinstance(x, dict)]
    if isinstance(v, str):
        try:
            return _rows(json.loads(v))
        except Exception:
            return []
    return []


def _extract_harness(payload: dict[str, Any]) -> dict[str, Any]:
    data = payload.get("data")
    if isinstance(data, dict):
        h = data.get("_harness_context")
        if isinstance(h, dict):
            return h
    h_apex = payload.get("hApex")
    if isinstance(h_apex, dict):
        return h_apex
    return {}


import sys

if sys.stdout.encoding and sys.stdout.encoding.lower() not in ("utf-8", "utf8"):
    sys.stdout = open(sys.stdout.fileno(), mode="w", encoding="utf-8", buffering=1)


def main() -> int:
    ap = argparse.ArgumentParser()
    ap.add_argument("--json", default=str(DEFAULT_JSON))
    ap.add_argument("--truth", default=str(DEFAULT_TRUTH))
    ap.add_argument("--fj", default=str(DEFAULT_FJ))
    ap.add_argument("--scr", default=str(DEFAULT_SCR))
    ap.add_argument("--hardening", default=str(DEFAULT_HARDENING))
    ap.add_argument("--matrix", default=str(DEFAULT_MATRIX))
    ap.add_argument("--out", default=str(DEFAULT_OUT))
    args = ap.parse_args()

    def rp(s: str) -> Path:
        p = Path(s)
        return p if p.is_absolute() else ROOT / p

    json_path = rp(args.json)
    hctx = _extract_harness(_load(json_path))
    truth = _load(rp(args.truth))
    fj = _load(rp(args.fj))
    scr = _load(rp(args.scr)) or _load(ROOT / "Temp" / "smart_cash_recovery_v5.json")
    hardening = _load(rp(args.hardening))
    matrix = _load(rp(args.matrix))

    # ── 판단 기반 수집 ────────────────────────────────────────────────────────────
    truth_gate = str(truth.get("gate") or "MISSING")
    truth_score = _f(truth.get("score_0_100"))

    fj_gate = str(fj.get("gate") or "MISSING")
    fj_coverage = _f(fj.get("coverage_pct"))

    # child engine: smart cash recovery — execution_allowed → child_engine_internal_allowed
    scr_child_internal_allowed = bool(scr.get("execution_allowed"))
    scr_status = str(scr.get("status") or "UNKNOWN")
    scr_damage = _f(scr.get("value_damage_pct_avg"))

    hard_meta = hardening.get("meta_scores") if isinstance(hardening.get("meta_scores"), dict) else {}
    readiness_gate = str(hard_meta.get("readiness_gate") or "MISSING")

    matrix_gate = str(matrix.get("gate") or "MISSING")
    matrix_min = _f(matrix.get("min_axis_score"))

    order_rows = _rows(hctx.get("order_blueprint_json"))
    hts_candidate_rows = [r for r in order_rows if str(r.get("validation_status") or "").upper() == "PASS"]

    # ── 차단 이유 수집 ────────────────────────────────────────────────────────────
    blocking: list[str] = []
    if truth_gate != "PASS_100":
        blocking.append(f"TRUTH_GATE={truth_gate}")
    if truth_score < 100.0:
        blocking.append(f"TRUTH_SCORE={truth_score:.2f}")
    if not scr_child_internal_allowed or scr_status != "PASS":
        blocking.append("SMART_CASH_BLOCKED")
    if scr_damage > 10.0:
        blocking.append("VALUE_DAMAGE_GT_10")
    if readiness_gate != "PERFORMANCE_READY":
        blocking.append(f"READINESS_GATE={readiness_gate}")
    if matrix_gate != "PASS_100" or matrix_min < 100.0:
        blocking.append(f"EXECUTION_READINESS_MATRIX={matrix_gate}:{matrix_min:.2f}")

    # ── 전역 게이트 결정 (P0-004 핵심: 하위 엔진 허용 ≠ HTS 허용) ──────────────
    if not blocking and len(hts_candidate_rows) > 0:
        global_gate = "HTS_READY"
        buy_allowed = True
        sell_allowed = True
        hts_order_count = len(hts_candidate_rows)
        child_execution_state = "HTS_AUTHORIZED"
        llm_actions = ["HTS_READY"]
    else:
        global_gate = "AUDIT_ONLY"
        buy_allowed = False
        sell_allowed = False
        hts_order_count = 0  # global gate != HTS_READY → 반드시 0
        child_execution_state = "THEORETICAL_ONLY"  # 명시적: child 허용 ≠ HTS 허용
        llm_actions = ["AUDIT_ONLY", "RENDER_LEDGER_ONLY", "SHADOW_LEDGER_ONLY"]

    result = {
        "formula_id": "FINAL_EXECUTION_DECISION_V4",
        "global_execution_gate": global_gate,
        "buy_allowed": buy_allowed,
        "sell_allowed": sell_allowed,
        "hts_order_count": hts_order_count,
        # P0-004 핵심: child_engine_internal_allowed는 HTS 실행 허가가 아님을 명시
        "child_engine_internal_allowed": scr_child_internal_allowed,
        "child_execution_state": child_execution_state,
        "precedence_note": (
            "child_engine_internal_allowed=True는 현금회복 계산이 내부적으로 허용됨을 의미한다. "
            "HTS 주문 실행은 global_execution_gate==HTS_READY일 때만 허용된다."
        ),
        "reason_codes": blocking,
        "llm_allowed_actions": llm_actions,
        "decision_basis": {
            "truth_gate": truth_gate,
            "truth_score_0_100": truth_score,
            "final_judgment_gate": fj_gate,
            "final_judgment_coverage_pct": fj_coverage,
            "smart_cash_recovery_status": scr_status,
            "smart_cash_recovery_child_engine_internal_allowed": scr_child_internal_allowed,
            "smart_cash_recovery_value_damage_pct": scr_damage,
            "readiness_gate": readiness_gate,
            "execution_readiness_matrix_gate": matrix_gate,
            "execution_readiness_min_axis_score": matrix_min,
            "hts_candidate_rows": len(hts_candidate_rows),
        },
        "generated_at": datetime.now(timezone.utc).isoformat(),
        "input_hash": hashlib.sha256(json_path.read_bytes()).hexdigest(),
    }

    out = rp(args.out)
    out.parent.mkdir(parents=True, exist_ok=True)
    out.write_text(json.dumps(result, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(result, ensure_ascii=False, indent=2))
    return 0


if __name__ == "__main__":
    raise SystemExit(main())