"""validate_alpha_feedback_loop_v2.py — ALPHA_FEEDBACK_LOOP_VALIDATE_V2

Temp/alpha_feedback_loop_v2.json의 구조와 데이터 게이트 상태를 검증한다.
"""
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" / "alpha_feedback_loop_v2.json"
DEFAULT_OUT = ROOT / "Temp" / "validate_alpha_feedback_loop_v2.json"
FORMULA_ID = "ALPHA_FEEDBACK_LOOP_VALIDATE_V2"


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_dict(value: Any) -> bool:
    return isinstance(value, dict)


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)
    errors: list[str] = []

    if not _is_dict(payload):
        errors.append("payload must be object")
    else:
        if payload.get("formula_id") != "ALPHA_FEEDBACK_LOOP_V2":
            errors.append("formula_id mismatch")

        status = str(payload.get("status") or "")
        if status not in {"DATA_INSUFFICIENT", "ANALYZED"}:
            errors.append(f"status={status}")

        if "cases_analyzed" not in payload or not isinstance(payload.get("cases_analyzed"), int):
            errors.append("cases_analyzed must be int")
        if "recommended_adjustments" not in payload or not isinstance(payload.get("recommended_adjustments"), list):
            errors.append("recommended_adjustments must be list")

        cases = payload.get("cases_analyzed")
        recs = payload.get("recommended_adjustments")
        if isinstance(cases, int):
            if cases < 10 and status != "DATA_INSUFFICIENT":
                errors.append("cases_analyzed < 10 requires DATA_INSUFFICIENT")
            if cases >= 10 and status != "ANALYZED":
                errors.append("cases_analyzed >= 10 requires ANALYZED")
        if isinstance(recs, list) and status == "DATA_INSUFFICIENT" and recs:
            errors.append("DATA_INSUFFICIENT must not carry recommendations")
        if status == "ANALYZED":
            for key in [
                "active_signal_rate_pct", "active_signal_n",
                "passive_signal_rate_pct", "passive_signal_n",
                "combined_rate_pct", "sell_signal_rate_pct", "sell_signal_n",
                "pa1_current_ratio", "pa1_thesis_sum", "pa1_antithesis_sum",
                "component_analysis", "note",
            ]:
                if key not in payload:
                    errors.append(f"missing field: {key}")

    result = {
        "formula_id": FORMULA_ID,
        "gate": "PASS" if not errors else "FAIL",
        "checked_file": str(Path(args.input).as_posix()),
        "errors": errors,
    }
    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 errors else 1


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