#!/usr/bin/env python3 """T2 300 张 → 12 页盲选页 (25张/页) + GT 明牌 + 优良中差 + 票串. 盲 key 只进本地; 页面零泄底 (slot 编号, 无轴/引擎词).""" import json, os, shutil, random, csv ROOT = "/home/kai/shared/virtual-idol/week1" MD = f"{ROOT}/T2_matrix" REV = f"{ROOT}/review" GT = f"{ROOT}/assets/t1_style_final_v1.png" rows = {int(r["combo_id"]): r for r in csv.DictReader(open(f"{MD}/matrix_300.csv"))} all_ids = sorted(rows) rng = random.Random(20261018) order = all_ids[:] rng.shuffle(order) # 全局乱序 → 12页 PAGES = 12 PER = 25 assert len(order) == 300 master_key = {} for pg in range(PAGES): chunk = order[pg*PER:(pg+1)*PER] pid = pg + 1 PAGE = f"{REV}/t2_blind_p{pid:02d}" os.makedirs(PAGE, exist_ok=True) shutil.copy(GT, f"{PAGE}/GT_anchor.png") cards = [] for i, cid in enumerate(chunk): slot = f"slot{i+1:02d}" fname = None for f in os.listdir(f"{MD}/first20") + os.listdir(f"{MD}/full300"): pass # find source file for d in ("first20", "full300"): for f in os.listdir(os.path.join(MD, d)): if f.startswith(f"T2_{cid:03d}_"): fname = (d, f) d, fname = fname shutil.copy(os.path.join(MD, d, fname), os.path.join(PAGE, fname)) master_key[f"p{pid:02d}:{slot}"] = {"combo_id": cid, "A": rows[cid]["A"], "B": rows[cid]["B"], "C": rows[cid]["C"]} cards.append(f"""
{slot}
""") page_html = f"""T2 盲选 {pid}/12

T2 三标签矩阵 · 盲选 {pid}/12（本页 25 张）

GT 风格参照板（明牌·禁作候选）：T1 定稿风格锚 —— 判读真值。任务：判「赛博国风×敦煌」命中度与角色辨识度。
{''.join(cards)}
票串（自动生成，复制回传）：
已判 0/25
""" open(f"{PAGE}/t2_blind_p{pid:02d}.html", "w").write(page_html) print(f"p{pid:02d}: {len(chunk)} cards → {PAGE}") json.dump(master_key, open(f"{REV}/t2_blind_master_key.json", "w"), ensure_ascii=False, indent=1) print("master key:", f"{REV}/t2_blind_master_key.json")