#!/usr/bin/env python3
from __future__ import annotations

import argparse
import json
import re
import sys
from pathlib import Path


ROOT = Path(__file__).resolve().parents[1]
DEFAULT_PACKET = ROOT / "Temp" / "final_decision_packet_active.json"
DEFAULT_REPORT = ROOT / "Temp" / "operational_report.json"


def _load_json(path: Path) -> dict:
    return json.loads(path.read_text(encoding="utf-8"))


def _find_section(report: dict, name: str) -> str:
    for section in report.get("sections", []):
        if section.get("name") == name:
            return str(section.get("markdown") or "")
    return ""


def _extract_table_value(markdown: str, label: str) -> str | None:
    pattern = re.compile(rf"^\|\s*{re.escape(label)}\s*\|\s*([^|]+?)\s*\|", re.MULTILINE)
    match = pattern.search(markdown)
    if not match:
        return None
    return match.group(1).strip()


def _as_number(value: str | None) -> float | None:
    if value is None:
        return None
    cleaned = value.replace(",", "").replace("%", "").strip()
    try:
        return float(cleaned)
    except Exception:
        return None


def _compare_numeric(errors: list[str], label: str, packet_value: float | int | None, report_value: str | None, tolerance: float = 0.01) -> None:
    report_number = _as_number(report_value)
    if packet_value is None or report_number is None:
        errors.append(f"{label} missing comparison value")
        return
    if abs(float(packet_value) - report_number) > tolerance:
        errors.append(f"{label} mismatch: packet={packet_value} report={report_number}")


def main() -> int:
    ap = argparse.ArgumentParser()
    ap.add_argument("--packet", default=str(DEFAULT_PACKET))
    ap.add_argument("--report", default=str(DEFAULT_REPORT))
    ap.add_argument("--strict", action="store_true")
    args = ap.parse_args()

    packet_path = Path(args.packet)
    report_path = Path(args.report)
    packet = _load_json(packet_path)
    report = _load_json(report_path)

    errors: list[str] = []

    pass_100 = packet.get("pass_100") or {}
    exec_readiness = packet.get("execution_readiness") or {}
    prediction = packet.get("prediction") or {}

    pass_100_section = _find_section(report, "pass_100_criteria")
    exec_section = _find_section(report, "execution_readiness_matrix")
    pred_section = _find_section(report, "prediction_evaluation_improvement_report")

    _compare_numeric(errors, "PASS_100 score_0_100", pass_100.get("score_0_100"), _extract_table_value(pass_100_section, "score_0_100"))
    if str(pass_100.get("gate") or "") != str(_extract_table_value(pass_100_section, "게이트")):
        errors.append(f"PASS_100 gate mismatch: packet={pass_100.get('gate')} report={_extract_table_value(pass_100_section, '게이트')}")

    _compare_numeric(errors, "execution_readiness min_axis_score", exec_readiness.get("min_axis_score"), _extract_table_value(exec_section, "min_axis_score"))
    if str(exec_readiness.get("gate") or "") != str(_extract_table_value(exec_section, "게이트")):
        errors.append(f"execution_readiness gate mismatch: packet={exec_readiness.get('gate')} report={_extract_table_value(exec_section, '게이트')}")

    _compare_numeric(errors, "prediction match_rate_pct", prediction.get("match_rate_pct"), _extract_table_value(pred_section, "일치율"))

    result = {
        "packet": str(packet_path),
        "report": str(report_path),
        "gate": "PASS" if not errors else "FAIL_BLOCK_PUBLISH",
        "mismatch_count": len(errors),
        "mismatches": errors,
    }
    print(json.dumps(result, ensure_ascii=False, indent=2))
    return 0 if not errors else 1


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