"""E05 보고서 s12 확률해석 — E03 확률 해석 저장본(대표 단면 · 비탈 · 조건마다 가장 최근) → 시트(PLAN 537-1).

칸 자리 = `resources/master_template/report/stab_report_slots.md` s12.
저장본이 없으면 시트를 뺌(있을 때만) — `build_program` 이 책에서 지움.
"""

from __future__ import annotations

import copy
import hashlib
import json
from pathlib import Path
from typing import Any

from E03_StabSection.E03_StabSection_Router_Prob import load_defaults, records
from E05_StabReport.E05_StabReport_Cells import _set, mark

CONDITION_NAMES = {"dry": "건기", "wet": "우기", "seismic": "지진"}
SIDE_NAMES = {"left": "좌", "right": "우"}
ROLE_NAMES = {"cut": "깎기", "fill": "쌓기"}
METHOD_NAMES = {
    "ordinary": "Fellenius",
    "bishop": "Bishop",
    "janbu": "Janbu 보정",
    "spencer": "Spencer",
    "morgenstern_price": "M-P",
}
MODE_NAMES = {"fixed": "임계면 고정", "search": "매회 탐색"}
DIST_NAMES = {"normal": "정규", "lognormal": "대수정규"}
COLS = "ABCDEFGHIJK"


def read(project_root: Path) -> list[dict[str, Any]]:
    return records(Path(project_root))


def stamp(project_root: Path) -> str:
    """해석 지문용 — 저장본 목록 내용(표본 F 뺌)."""
    body = [
        {**r, "result": {k: v for k, v in r["result"].items() if k != "F"}}
        for r in read(project_root)
    ]
    text = json.dumps(body, ensure_ascii=False, sort_keys=True, default=str)
    return hashlib.sha1(text.encode("utf-8")).hexdigest()


def _is_default(rec: dict[str, Any], defaults: dict[str, Any]) -> bool:
    """요청 변수 · 표본 설정이 기본값 후보 그대로인지(「사용자 확정 전」 표기)."""
    req = rec["request"]
    props, own = defaults["properties"], defaults.get("materials") or {}
    for v in req["variables"]:
        base = {
            **props[v["prop"]],
            **((own.get(v.get("material") or "") or {}).get(v["prop"]) or {}),
        }
        spread = v.get("cov") if v.get("cov") is not None else v.get("std")
        want = base.get("cov") if "cov" in base else base.get("std")
        if (
            v["dist"] != base["dist"]
            or spread != want
            or v.get("trunc_sigma") != base["trunc_sigma"]
        ):
            return False
    run = defaults["run"]
    same = all(req.get(k) == run[k] for k in ("n", "sampling", "seed", "mode", "method"))
    return same and req.get("rho_c_phi", 0.0) == defaults["rho_c_phi"]


def fill_prob(sheet: dict[str, Any], recs: list[dict[str, Any]], labels: dict) -> None:
    """s12 — 1. 측점 · 비탈 · 조건마다 한 줄(6 행 서식) · 2. 변수마다 한 줄(10 행 서식 · 토네이도 순)."""
    tpl = {
        r: {c: copy.deepcopy(sheet["칸"].get(f"{c}{r}") or {}) for c in COLS} for r in (6, 8, 9, 10)
    }
    for a1 in [k for k in sheet["칸"] if int("".join(ch for ch in k if ch.isdigit())) >= 6]:
        del sheet["칸"][a1]
    sheet["병합"] = [
        m for m in sheet["병합"] if int("".join(ch for ch in m.split(":")[0] if ch.isdigit())) < 6
    ]
    sheet["행"] = {k: v for k, v in sheet["행"].items() if int(k) < 6}

    def put_row(r: int, styles: dict[str, dict]) -> None:
        for c, cell in styles.items():
            sheet["칸"][f"{c}{r}"] = copy.deepcopy(cell)

    def name(rec: dict[str, Any]) -> str:
        ch = float(rec["chainage_m"])
        return rec.get("label") or labels.get(round(ch, 3)) or f"{ch:.2f}"

    def where(rec: dict[str, Any]) -> str:
        return (
            f"{SIDE_NAMES[rec['side']]} {ROLE_NAMES.get(rec['role'], rec['role'])} · "
            f"{CONDITION_NAMES.get(rec['condition'], rec['condition'])}"
        )

    defaults = load_defaults()
    same = all(_is_default(rec, defaults) for rec in recs)
    _set(sheet, "A3", mark("변동계수 · 분포 · 표본 = 문헌 기본값 후보(근거 E03 탭)", same))
    pct = lambda v: None if v is None else 100.0 * float(v)  # noqa: E731
    r = 6
    for rec in recs:
        res, st = rec["result"], rec["result"]["stats"]
        put_row(r, tpl[6])
        _set(sheet, f"A{r}", name(rec))
        _set(sheet, f"B{r}", where(rec))
        _set(
            sheet,
            f"C{r}",
            f"{METHOD_NAMES.get(res['method'], res['method'])} · {MODE_NAMES[res['mode']]}",
        )
        _set(sheet, f"D{r}", int(st["n_valid"]))
        _set(sheet, f"E{r}", rec.get("fs_deterministic"))
        for c, k in zip("FG", ("mean", "std")):
            _set(sheet, f"{c}{r}", st.get(k))
        _set(sheet, f"H{r}", pct(st.get("pf")))
        _set(sheet, f"I{r}", st.get("beta_normal"))
        _set(sheet, f"J{r}", st.get("beta_lognormal"))
        _set(sheet, f"K{r}", pct(st.get("p_below_required")))
        r += 1
    r += 1
    put_row(r, tpl[8])
    sheet["병합"].append(f"A{r}:K{r}")
    sheet["행"][str(r)] = {"높이": 22}
    sheet["행"][str(r + 1)] = {"높이": 30}
    put_row(r + 1, tpl[9])
    r += 2
    for rec in recs:
        res = rec["result"]
        curves = {c["name"]: c for c in res["sensitivity"]["curves"]}
        rank = {t["name"]: i + 1 for i, t in enumerate(res["sensitivity"]["tornado"])}
        for v in sorted(res["variables"], key=lambda v: rank.get(v["name"], 99)):
            c = curves.get(v["name"]) or {}
            xs = c.get("x") or [None]
            put_row(r, tpl[10])
            _set(sheet, f"A{r}", f"{name(rec)} · {where(rec)}")
            _set(sheet, f"B{r}", v["name"])
            _set(sheet, f"C{r}", DIST_NAMES.get(v["dist"], v["dist"]))
            _set(sheet, f"D{r}", float(v["mean"]))
            _set(sheet, f"E{r}", float(v["std"]))
            _set(sheet, f"F{r}", v["lo"] / v["std"] if v.get("lo") is not None else "-")
            _set(sheet, f"G{r}", xs[0])
            _set(sheet, f"H{r}", c.get("F_lo"))
            _set(sheet, f"I{r}", xs[-1])
            _set(sheet, f"J{r}", c.get("F_hi"))
            _set(sheet, f"K{r}", rank.get(v["name"]))
            r += 1