#!/usr/bin/env python3
"""Print the per-item status of all three games, straight from registry.json."""

from __future__ import annotations

import json
import os

os.chdir(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
R = json.load(open("registry/registry.json"))
GAMES = list(R["games"])
MARK = {
    "完成": "完成",
    "未做": "未做",
    "暂缓": "暂缓",
    "外部执行": "外部执行",
    "历史诊断": "历史诊断",
}


def main() -> None:
    print("=" * 84)
    print("PACT 实验逐项状态（三个游戏共用同一份实验块清单）")
    print("=" * 84)

    w = 26
    print(f"\n{'实验块':<{w}}" + "".join(f"{R['games'][g]['display_name']:<18}" for g in GAMES))
    print("-" * 84)
    for blk in R["blocks"]:
        row = f"{blk['name']:<{w}}"
        for g in GAMES:
            b = R["games"][g]["blocks"].get(blk["id"], {})
            row += f"{MARK.get(b.get('status'), '—'):<18}"
        print(row)

    for g in GAMES:
        extra = [b for bid, b in R["games"][g]["blocks"].items()
                 if bid not in {x["id"] for x in R["blocks"]}]
        for b in extra:
            row = f"{b.get('title', b.get('name', '?'))[:24]:<{w}}"
            for gg in GAMES:
                row += f"{(b['status'] if gg == g else '—'):<18}"
            print(row)

    print("\n" + "=" * 84)
    print("数据集")
    print("=" * 84)
    for g in GAMES:
        d = R["games"][g]["dataset"]
        sp = d.get("split") or {}
        tot = sp.get("total_fights")
        line = f"  {R['games'][g]['display_name']:<15}"
        line += f"K̄={R['games'][g]['mean_menu_size_k']:<5} 随机基线={R['games'][g]['l2_chance_follow_pct']}%"
        if tot:
            line += f"   fight: train {tot['train']} / val {tot['val']} / test {tot['test']}"
        print(line)

    print("\n" + "=" * 84)
    print("已完成实验的产物与结果")
    print("=" * 84)
    for g in GAMES:
        gd = R["games"][g]
        print(f"\n### {gd['display_name']}")
        for bid, b in gd["blocks"].items():
            if b.get("status") != "完成":
                continue
            print(f"  [{b.get('name', b.get('title'))}]")
            for f in b.get("code", []):
                print(f"      code   {f}")
            if b.get("ckpt"):
                c = b["ckpt"]
                mb = (c["size_bytes"] or 0) / 2**20
                print(f"      ckpt   {c['path']}  ({mb:.0f}M)")
            for key in ("cache_train", "cache_eval"):
                if b.get(key):
                    c = b[key]
                    tag = "" if c["exists"] else "  ← 已被清除，需重建"
                    print(f"      {key:<7}{c['path']}{tag}")
            h = b.get("headline")
            if h and h.get("distance_mae") is not None:
                print(f"      指标   n={h['n_eval']}  dist_mae={h['distance_mae']}  "
                      f"angle_mae={h['angle_mae_degrees']}°  angle@20={h['angle_within_20']}")
            for view, r in (b.get("runs") or {}).items():
                hh = r.get("headline") or {}
                print(f"      L2 {view:<7} follow={hh.get('desc_follow_pct')}%  "
                      f"({hh.get('x_chance')}× 随机)  fights={hh.get('fights_covered')}  {r['dir']}")
            for a in b.get("artifacts", []):
                print(f"      产物   {a['path']}")
            if b.get("known_bug"):
                print(f"      ⚠️ {b['known_bug']}")
            if b.get("finding"):
                print(f"      结论   {b['finding']}")
        for did, d in (gd.get("deprecated") or {}).items():
            print(f"  [废弃] {did}")
            print(f"      {d['reason']}")


if __name__ == "__main__":
    main()