"""validate_realized_performance_v1.py — REALIZED_PERFORMANCE_VALIDATE_V1

Temp/realized_performance_v1.json의 존재와 기본 스키마를 검증한다.
데이터가 충분하지 않은 구간은 allow-listed insufficient_data 상태로만 허용한다.
"""
from __future__ import annotations

import argparse
import json
from pathlib import Path
from typing import Any

ROOT = Path(__file__).resolve().parents[1]
DEFAULT_INPUT = ROOT / "Temp" / "realized_performance_v1.json"
DEFAULT_OUT = ROOT / "Temp" / "validate_realized_performance_v1.json"
FORMULA_ID = "REALIZED_PERFORMANCE_VALIDATE_V1"


def _load(path: Path) -> Any:
    if not path.exists():
        return {}
    try:
        return json.loads(path.read_text(encoding="utf-8"))
    except Exception:
        return {}


def _is_nonempty_dict(v: Any) -> bool:
    return isinstance(v, dict) and len(v) > 0


def main() -> int:
    ap = argparse.ArgumentParser()
    ap.add_argument("--input", default=str(DEFAULT_INPUT))
    ap.add_argument("--out", default=str(DEFAULT_OUT))
    args = ap.parse_args()

    input_path = Path(args.input)
    input_path = input_path if input_path.is_absolute() else ROOT / input_path
    out_path = Path(args.out)
    out_path = out_path if out_path.is_absolute() else ROOT / out_path

    payload = _load(input_path)
    missing: list[dict[str, object]] = []

    if not _is_nonempty_dict(payload):
        missing.append({"field": "file", "reason": "missing_or_invalid_json"})
    else:
        if payload.get("formula_id") != "REALIZED_PERFORMANCE_V1":
            missing.append({
                "field": "formula_id",
                "reason": "unexpected_value",
                "expected": "REALIZED_PERFORMANCE_V1",
            })

        for field in ["performance_metrics", "current_portfolio_mdd", "insufficient_data_items", "summary"]:
            if field not in payload:
                missing.append({"field": field, "reason": "missing_key"})

        perf = payload.get("performance_metrics")
        if isinstance(perf, dict):
            for key in ["t1_operational", "t5_operational", "t20_replay_estimated"]:
                block = perf.get(key)
                if not _is_nonempty_dict(block):
                    missing.append({"field": f"performance_metrics.{key}", "reason": "missing_block"})
                    continue
                if "label" not in block or "n" not in block:
                    missing.append({"field": f"performance_metrics.{key}", "reason": "missing_label_or_n"})

        summary = payload.get("summary")
        if isinstance(summary, dict):
            if "disclaimer" not in summary:
                missing.append({"field": "summary.disclaimer", "reason": "missing_key"})
            if "best_estimated_source" not in summary:
                missing.append({"field": "summary.best_estimated_source", "reason": "missing_key"})

        mdd = payload.get("current_portfolio_mdd")
        if not _is_nonempty_dict(mdd):
            missing.append({"field": "current_portfolio_mdd", "reason": "missing_block"})
        else:
            if "worst_case_scenario" not in mdd:
                missing.append({"field": "current_portfolio_mdd.worst_case_scenario", "reason": "missing_key"})

    result = {
        "formula_id": FORMULA_ID,
        "gate": "PASS" if not missing else "FAIL",
        "checked_file": str(Path(args.input).as_posix()),
        "missing": missing,
    }
    out_path.write_text(json.dumps(result, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
    print(json.dumps(result, ensure_ascii=False, indent=2))
    return 0 if not missing else 1


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