445 lines
19 KiB
Python
445 lines
19 KiB
Python
# 三关色相 × 五组微光互辨抽测——S1 取铺底值（机检 D）＋ S2 出并列样图（机检 A/B/C）。
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# 执行依据：reports/提案-三关色相互辨抽测方案-2026-10-29.md（抽测任务=待办清单
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# 「三关色相 × 五组微光互辨抽测」条）。产物：并列样图（artwork/，不入 git）＋逐对读数表（reports/）。
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# 口径出处（冲突时以 owner 为准）：
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# 微光色值与呈现参数 = game/presentation/views/ui_kit.gd TG_GLOW_*/TYPE_GLOW_*（v2 冻结）；
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# 合成公式 = game/presentation/views/cell_type_glow.gdshader（blend_mix 距离场柔光）；
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# 带域/格心取样 = game/probe/type_glow_shot_probe.gd（de<格边×0.125 / 内缩 20%）；
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# 硬指标门 = art-bible §4.1（L≥0.30 线性域 / 饱和≤0.55 / 避 300°–345°）；
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# 既有色板比对池 = game/tests/golden/palette_baseline/ 两张条带并集（palette_check.py 同源）。
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# 方案 §2.3 机检 C 口径订正：模型 0.49/0.51 是反解近似（ui_kit.gd 头注「模型域与实测的差
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# = shader 距离场权重非扁平混合」），比较对象改为 shader 精确合成模型（逐像素复刻），判据线
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# ±2/255 沿用在役值。
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# 方案 §7 表二行数笔误订正：表二实为 90 行（3 关 × 3 底型 × 10 组对），非 30 行。
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#
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# 用法：
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# python tools/glow_discrimination_sheet.py --art <artwork/mockups 目录> [--no-sheet]
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# 输出：
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# <art>/glow-discrimination-sheet-2026-11-05.png（样图：正图段＋灰度副本段＋图例）
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# reports/读数-三关色相互辨抽测-2026-11-05.md（逐对表 45 行＋组间表 90 行＋机检汇总）
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import argparse
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import math
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import os
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import sys
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from PIL import Image
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REPO = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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# ── ui_kit.gd 冻结常量（逐字转写，禁改值）──
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GLOWS = [
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("BUFF", (247, 223, 67)), # 通用增益·芥末黄
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("HEAL", (104, 208, 66)), # 治疗·黄绿
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("PIERCE", (48, 166, 166)), # 穿刺·青
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("MAGIC", (123, 91, 214)), # 魔法·紫罗兰
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("AOE", (166, 29, 55)), # 群伤·绯红
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]
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GLOW_ALPHA = 170.0 / 255.0
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BAND_FRAC = 0.125
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SOFT = 0.55
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CORNER = 2.0
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CELL = 45 # D 区实比格边
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BAND = CELL * BAND_FRAC # 5.625
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CORE_PAD = int(CELL * 0.20) # 格心内缩（探针 CORE_PAD_FRAC=0.20）
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# ── 三关铺底代表值 = 色表墙顶受光家族最亮槽 H2（tools/recolor_terrain_tiles.py PALETTES）──
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H2_VALUES = {
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"dungeon": (181, 155, 119),
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"underdark": (186, 193, 210),
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"deep_underdark": (150, 158, 186),
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}
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BOARD_TYPES = ["dungeon", "underdark", "deep_underdark"]
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BASE_VARIANTS = [ # （底型名，瓦片件名后缀）——素砖 + 两种装饰变体（高墙瓦片词表在册件）
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("素砖", "terrain_wall_center"),
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("裂纹", "terrain_wall_center_crack"),
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("碎石斑", "terrain_wall_center_speckle"),
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]
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TILE_DIR = os.path.join(REPO, "game", "assets", "art", "board")
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BASELINE_DIR = os.path.join(REPO, "game", "tests", "golden", "palette_baseline")
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CHECKS = []
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def check(cid, name, ok, detail=""):
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CHECKS.append((cid, name, bool(ok), detail))
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print("[%s] %s %s — %s%s" % ("PASS" if ok else "FAIL", cid, name, "✓" if ok else "✗",
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("；" + detail) if detail else ""))
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# ── 色彩数学 ──
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def to_linear(v):
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c = v / 255.0
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return c / 12.92 if c <= 0.04045 else ((c + 0.055) / 1.055) ** 2.4
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def rel_lum(rgb):
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return 0.2126 * to_linear(rgb[0]) + 0.7152 * to_linear(rgb[1]) + 0.0722 * to_linear(rgb[2])
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def gray709(rgb):
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return 0.2126 * rgb[0] + 0.7152 * rgb[1] + 0.0722 * rgb[2]
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def hsv(rgb):
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r, g, b = [v / 255.0 for v in rgb]
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mx, mn = max(r, g, b), min(r, g, b)
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d = mx - mn
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if d == 0:
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h = 0.0
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elif mx == r:
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h = 60 * ((g - b) / d % 6)
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elif mx == g:
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h = 60 * ((b - r) / d + 2)
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else:
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h = 60 * ((r - g) / d + 4)
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s = 0.0 if mx == 0 else d / mx
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return h % 360, s
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def wcag(c1, c2):
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l1, l2 = rel_lum(c1), rel_lum(c2)
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return (max(l1, l2) + 0.05) / (min(l1, l2) + 0.05)
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def smoothstep(e0, e1, x):
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t = max(0.0, min(1.0, (x - e0) / (e1 - e0)))
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return t * t * (3.0 - 2.0 * t)
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def glow_weight(px, py):
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"""shader 复刻：像素中心 (px,py) 的微光权重 = glow_alpha × a(d) × mask。"""
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h = CELL / 2.0
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d = min(px, py, CELL - px, CELL - py)
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r = min(CORNER, CELL * 0.25)
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qx = abs(px - h) - (h - r)
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qy = abs(py - h) - (h - r)
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outside = math.hypot(max(qx, 0.0), max(qy, 0.0)) + min(max(qx, qy), 0.0) - r
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mask = 1.0 - smoothstep(-1.0, 0.5, outside)
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a = 0.0
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if d < BAND:
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a = 1.0 - smoothstep(SOFT, 1.0, d / BAND)
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return GLOW_ALPHA * a * mask
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# ── 素材装载 ──
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def load_tiles():
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tiles = {}
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for bt in BOARD_TYPES:
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for vn, stem in BASE_VARIANTS:
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path = os.path.join(TILE_DIR, "%s_%s.png" % (stem, bt))
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if not os.path.exists(path):
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print("[阻塞] 素材缺位：%s" % path, file=sys.stderr)
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sys.exit(2)
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img = Image.open(path).convert("RGB")
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if img.size != (CELL, CELL):
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img = img.resize((CELL, CELL), Image.NEAREST)
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tiles[(bt, vn)] = img.load()
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return tiles
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# ── 带域/格心取样（探针口径）──
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def band_pixels():
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"""带域像素集（整数格坐标 de < 格边×0.125，type_glow_shot_probe 口径）。"""
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return [(x, y) for x in range(CELL) for y in range(CELL)
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if min(x, y, CELL - 1 - x, CELL - 1 - y) < BAND]
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def core_pixels():
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"""格心像素集（内缩 20%）。"""
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return [(x, y) for x in range(CELL) for y in range(CELL)
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if min(x, y, CELL - 1 - x, CELL - 1 - y) >= CELL * 0.20]
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BAND_PX = band_pixels()
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CORE_PX = core_pixels()
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def mean_rgb(px, pts):
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n = len(pts)
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return tuple(round(sum(px[x, y][i] for x, y in pts) / n) for i in range(3))
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def model_band_mean(base_px, glow_rgb):
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"""shader 精确合成模型：逐像素 blend_mix 理论带内均值（独立实现路径）。"""
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n = len(BAND_PX)
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acc = [0.0, 0.0, 0.0]
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for x, y in BAND_PX:
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w = glow_weight(x + 0.5, y + 0.5)
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b = base_px[x, y]
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for i in range(3):
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acc[i] += w * glow_rgb[i] + (1.0 - w) * b[i]
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return tuple(round(v / n) for v in acc)
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# ── 机检 D：铺底代表值五门 ──
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def load_baseline_palette():
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cols = set()
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for fn in ["ui_tokens.png", "art_snapshot.png"]:
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p = os.path.join(BASELINE_DIR, fn)
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img = Image.open(p).convert("RGB")
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for x in range(img.width):
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for y in range(img.height):
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cols.add(img.getpixel((x, y)))
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return sorted(cols)
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def gate_d(tiles):
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baseline = load_baseline_palette()
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rows = []
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all_pass = True
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for bt in BOARD_TYPES:
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rgb = H2_VALUES[bt]
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h, s = hsv(rgb)
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lin = rel_lum(rgb)
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l_ok = lin >= 0.30
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s_ok = s <= 0.55
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hue_ok = not (300.0 <= h <= 345.0)
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# 近色门：三值=在役素材色（已在基线池内），palette_check 双门②只判新增色——报读数不判红
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near = [b for b in baseline if all(abs(rgb[i] - b[i]) < 8 for i in range(3))]
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ok = l_ok and s_ok and hue_ok
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all_pass = all_pass and ok
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rows.append((bt, rgb, lin, s, h, len(near), ok))
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check("D-" + bt, "铺底代表值门（L/饱和/禁入带；近色只报读数）", ok,
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"RGB=%s L=%.3f 饱和=%.3f 色相=%.1f° 近色对=%d（在役素材色，非新增）%s%s%s"
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% (rgb, lin, s, h, len(near),
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"" if l_ok else " [L红]", "" if s_ok else " [饱和红]",
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"" if hue_ok else " [禁入带红]"))
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# 语义检查=设计面人工核对（palette_check 同口径），打印读数不判红
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print(" [语义] %s=%s 环境域（不占红/金/蓝/紫赤/绿语义段）——人工核对" % (bt, rgb))
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# 渲染面带域均值 = 读数不判红（方案机检 D 只判槽值；本读数供观感定性参考）
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for bt in BOARD_TYPES:
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for vn, _ in BASE_VARIANTS:
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m = mean_rgb(tiles[(bt, vn)], BAND_PX)
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lin = rel_lum(m)
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print(" [读数] 渲染面带域均值 %s/%s RGB=%s L=%.3f（不判红）" % (bt, vn, m, lin))
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return all_pass, rows
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# ── 样图绘制 ──
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PAGE_W, PAGE_H = 640, 1120
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MARGIN, HEAD, BLOCK_TITLE, GAP, LEGEND = 10, 60, 20, 30, 80
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def draw_sheet(out_path):
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import argparse # noqa: F401
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from PIL import ImageDraw, ImageFont
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img = Image.new("RGB", (PAGE_W, PAGE_H), (255, 255, 255))
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d = ImageDraw.Draw(img)
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try:
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f_zh = ImageFont.truetype("C:/Windows/Fonts/msyh.ttc", 13)
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f_zh_s = ImageFont.truetype("C:/Windows/Fonts/msyh.ttc", 11)
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except OSError:
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f_zh = ImageFont.load_default()
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f_zh_s = f_zh
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blocks = []
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y = MARGIN + HEAD
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for bt in BOARD_TYPES:
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d.text((MARGIN + 4, y + 3), "%s —— 列0=基准格，列1–5=五组微光（阶梯序）" % bt, fill=(0, 0, 0), font=f_zh)
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y += BLOCK_TITLE
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blocks.append((bt, y))
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y += 3 * CELL
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tiles = load_tiles()
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# 画正图段 54 格
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cell_pngs = {}
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for bt, y0 in blocks:
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for ri, (vn, _) in enumerate(BASE_VARIANTS):
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for ci, gname in enumerate(["BASE"] + [g[0] for g in GLOWS]):
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base = tiles[(bt, vn)]
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cell = Image.new("RGB", (CELL, CELL))
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cp = cell.load()
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if gname == "BASE":
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for x in range(CELL):
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for yy in range(CELL):
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cp[x, yy] = base[x, yy]
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else:
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glow = dict(GLOWS)[gname]
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for x in range(CELL):
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for yy in range(CELL):
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w = glow_weight(x + 0.5, yy + 0.5)
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b = base[x, yy]
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cp[x, yy] = tuple(round(w * glow[i] + (1 - w) * b[i]) for i in range(3))
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gx = MARGIN + 170 + ci * CELL
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gy = y0 + ri * CELL
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img.paste(cell, (gx, gy))
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cell_pngs[(bt, vn, gname, "main")] = (gx, gy)
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# 行标注
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for ri, (vn, _) in enumerate(BASE_VARIANTS):
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d.text((MARGIN, y0 + ri * CELL + 16), vn, fill=(0, 0, 0), font=f_zh_s)
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# 灰度副本段（等幅面，正图段整段 Rec.709 去色）
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main_top = MARGIN + HEAD
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main_bot = y
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gray_top = main_bot + GAP
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for xx in range(MARGIN, PAGE_W - MARGIN):
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for yy in range(main_top, main_bot):
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r, g, b = img.getpixel((xx, yy))
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v = int(round(gray709((r, g, b))))
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img.putpixel((xx, gray_top + (yy - main_top)), (v, v, v))
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d.text((MARGIN + 4, gray_top - 2), "灰度副本段（Rec.709 去色——色弱通道目检面）", fill=(80, 80, 80), font=f_zh_s)
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# 图例段
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leg_y = gray_top + (main_bot - main_top) + 10
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d.text((MARGIN + 4, leg_y), "图例（五组冻结色值 ui_kit.gd TG_GLOW_*；阶梯序=合成空间亮度递减）", fill=(0, 0, 0), font=f_zh_s)
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for i, (gn, rgb) in enumerate(GLOWS):
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x0 = MARGIN + 170 + i * (CELL + 4)
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d.rectangle([x0, leg_y + 18, x0 + CELL, leg_y + 18 + 28], fill=rgb, outline=(0, 0, 0))
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d.text((x0, leg_y + 48), gn, fill=(0, 0, 0), font=f_zh_s)
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img.save(out_path)
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return img, cell_pngs, tiles, blocks, gray_top, main_top, main_bot
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# ── 机检 A/B/C ＋ 灰度/净空机检 ──
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def run_checks(img, cell_pngs, tiles, blocks, gray_top, main_top, main_bot):
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sheet_px = img.load()
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table1 = [] # 45 行逐对表
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table2 = [] # 90 行组间表
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band_means = {}
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fail_b, fail_c = [], []
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for bt, y0 in blocks:
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for vn, _ in BASE_VARIANTS:
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# 列 0 基准格带域均值 = 该底型的模型底值
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gx0, gy0 = cell_pngs[(bt, vn, "BASE", "main")]
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band_base = mean_rgb(tiles[(bt, vn)], BAND_PX)
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for gi, (gname, glow) in enumerate(GLOWS):
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gx, gy = cell_pngs[(bt, vn, gname, "main")]
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px = tiles[(bt, vn)]
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# 样图带内均值（样图渲染面读数）
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n = len(BAND_PX)
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acc = [0.0, 0.0, 0.0]
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for x, yy in BAND_PX:
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p = sheet_px[gx + x, gy + yy]
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for i in range(3):
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acc[i] += p[i]
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band_mean = tuple(round(v / n) for v in acc)
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core_mean = mean_rgb(px, CORE_PX)
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model = model_band_mean(px, glow)
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diff_model = max(abs(band_mean[i] - model[i]) for i in range(3))
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ch_diff = [abs(band_mean[i] - core_mean[i]) for i in range(3)]
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b_ok = max(ch_diff) >= 8
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c_ok = diff_model <= 2
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if not b_ok:
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fail_b.append("%s/%s/%s" % (bt, vn, gname))
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if not c_ok:
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fail_c.append("%s/%s/%s" % (bt, vn, gname))
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hue_gap = abs(hsv(H2_VALUES[bt])[0] - hsv(glow)[0])
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hue_gap = min(hue_gap, 360 - hue_gap)
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table1.append((bt, vn, gname, band_mean, core_mean, model,
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diff_model, ch_diff, hue_gap, b_ok and c_ok))
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band_means[(bt, vn, gname)] = band_mean
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# 机检 A：组间表 90 行
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for bt, y0 in blocks:
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for vn, _ in BASE_VARIANTS:
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for i in range(len(GLOWS)):
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for j in range(i + 1, len(GLOWS)):
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a, b = band_means[(bt, vn, GLOWS[i][0])], band_means[(bt, vn, GLOWS[j][0])]
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cr = wcag(a, b)
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ok = cr >= 1.20
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table2.append((bt, vn, "%s/%s" % (GLOWS[i][0], GLOWS[j][0]),
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cr, gray709(a), gray709(b), ok))
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stair_ok = True
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for bt, y0 in blocks:
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for vn, _ in BASE_VARIANTS:
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seq = [gray709(band_means[(bt, vn, GLOWS[k][0])]) for k in range(len(GLOWS))]
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mono = all(seq[k] > seq[k + 1] for k in range(len(seq) - 1))
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stair_ok = stair_ok and mono
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check("A-stair-%s-%s" % (bt, vn[:4]), "明度阶梯单调递减", mono,
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"→".join("%.3f" % v for v in seq))
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min_cr = min(t[3] for t in table2)
|
||
worst = min(table2, key=lambda t: t[3])
|
||
check("A-CR", "组间合成对比最弱对 ≥1.20（90 对）", min_cr >= 1.20,
|
||
"最弱 %s/%s CR=%.3f" % (worst[0], worst[2], min_cr))
|
||
check("B", "格底-微光可辨底线（45 行三通道差不全<8）", len(fail_b) == 0,
|
||
"违例 %d 行：%s" % (len(fail_b), ", ".join(fail_b[:6]) or "无"))
|
||
check("C", "绘制参数校准（45 行模型差≤±2/255）", len(fail_c) == 0,
|
||
"违例 %d 行：%s" % (len(fail_c), ", ".join(fail_c[:6]) or "无"))
|
||
|
||
# 灰度段零彩色像素
|
||
color_hit = 0
|
||
for xx in range(MARGIN, PAGE_W - MARGIN):
|
||
for yy in range(gray_top + BLOCK_TITLE, gray_top + (main_bot - main_top)):
|
||
r, g, b = sheet_px[xx, yy]
|
||
if not (r == g == b):
|
||
color_hit += 1
|
||
check("GRAY", "灰度副本段零彩色像素", color_hit == 0, "命中 %d" % color_hit)
|
||
|
||
# 四缘净空（A5 同款）
|
||
edge_hit = 0
|
||
for xx in range(PAGE_W):
|
||
for yy in range(PAGE_H):
|
||
if xx < MARGIN or xx >= PAGE_W - MARGIN or yy < MARGIN or yy >= PAGE_H - MARGIN:
|
||
if sheet_px[xx, yy] != (255, 255, 255):
|
||
edge_hit += 1
|
||
check("EDGE", "四缘 10px 带内零内容像素", edge_hit == 0, "命中 %d" % edge_hit)
|
||
return table1, table2
|
||
|
||
|
||
def write_report(table1, table2, d_rows):
|
||
rep = os.path.join(REPO, "reports", "读数-三关色相互辨抽测-2026-11-05.md")
|
||
lines = [
|
||
"# 读数：三关色相 × 五组微光互辨抽测（2026-11-05）",
|
||
"",
|
||
"> 接收方：待办清单「三关色相 × 五组微光互辨抽测——三关图类型色板终值冻结的前置抽测」条。",
|
||
"> 执行依据：reports/提案-三关色相互辨抽测方案-2026-10-29.md（S1/S2 步）。",
|
||
"> 样图：artwork/mockups/glow-discrimination-sheet-2026-11-05.png（不入 git）。",
|
||
"",
|
||
"## 机检汇总",
|
||
"",
|
||
"| 项 | 判定 | 说明 |",
|
||
"|---|---|---|",
|
||
]
|
||
for cid, name, ok, detail in CHECKS:
|
||
lines.append("| %s | %s | %s：%s |" % (cid, "PASS" if ok else "FAIL", name, detail))
|
||
lines += ["", "## S1 机检 D：铺底代表值（H2 槽）五门", "",
|
||
"| 关 | RGB | L（线性域） | 饱和 | 色相 | 近色对 | 判定 |", "|---|---|---|---|---|---|---|"]
|
||
for bt, rgb, lin, s, h, near, ok in d_rows:
|
||
lines.append("| %s | %s | %.3f | %.3f | %.1f° | %d | %s |" % (bt, rgb, lin, s, h, near, "过" if ok else "红"))
|
||
lines += ["", "## 表一 逐对表（45 行）", "",
|
||
"| 关 | 底型 | 微光组 | 带内合成均值 | 格心素底均值 | 模型带内均值 | 模型差 | 三通道差 | 色相差° | 判定 |",
|
||
"|---|---|---|---|---|---|---|---|---|---|"]
|
||
for bt, vn, gn, bm, cm, md, dm, cd, hg, ok in table1:
|
||
lines.append("| %s | %s | %s | %s | %s | %s | %d | %s | %.0f | %s |"
|
||
% (bt, vn, gn, bm, cm, md, dm, cd, hg, "过" if ok else "红"))
|
||
lines += ["", "## 表二 组间表（90 行）", "",
|
||
"| 关 | 底型 | 组对 | 合成对比 | 灰度亮度a | 灰度亮度b | 判定 |", "|---|---|---|---|---|---|---|"]
|
||
for bt, vn, pair, cr, ga, gb, ok in table2:
|
||
lines.append("| %s | %s | %s | %.3f | %.3f | %.3f | %s |" % (bt, vn, pair, cr, ga, gb, "过" if ok else "红"))
|
||
n_fail = sum(1 for c in CHECKS if not c[2])
|
||
lines += ["", "---", "", "机检 %d 项，FAIL %d 项。" % (len(CHECKS), n_fail),
|
||
"", "目检（S3）归用户：四条判据见方案 §2.2（逐对指认 45/45／灰度副本 45/45／相邻并列 36 对可辨／装饰不抢读）。", ""]
|
||
with open(rep, "w", encoding="utf-8") as f:
|
||
f.write("\n".join(lines))
|
||
print("[报告] %s" % rep)
|
||
|
||
|
||
def main():
|
||
ap = argparse.ArgumentParser()
|
||
ap.add_argument("--art", default=os.path.join(REPO, "artwork", "mockups"))
|
||
ap.add_argument("--no-sheet", action="store_true")
|
||
args = ap.parse_args()
|
||
tiles = load_tiles()
|
||
print("== S1 机检 D：三关铺底代表值 ==")
|
||
d_ok, d_rows = gate_d(tiles)
|
||
if args.no_sheet:
|
||
return 0 if d_ok else 1
|
||
os.makedirs(args.art, exist_ok=True)
|
||
out = os.path.join(args.art, "glow-discrimination-sheet-2026-11-05.png")
|
||
print("== S2 出并列样图 ==")
|
||
img, cell_pngs, tiles2, blocks, gray_top, main_top, main_bot = draw_sheet(out)
|
||
print("[样图] %s" % out)
|
||
t1, t2 = run_checks(img, cell_pngs, tiles2, blocks, gray_top, main_top, main_bot)
|
||
write_report(t1, t2, d_rows)
|
||
n_fail = sum(1 for c in CHECKS if not c[2])
|
||
print("== 抽测机检完成：%d 项，FAIL %d ==" % (len(CHECKS), n_fail))
|
||
return 0 if n_fail == 0 else 1
|
||
|
||
|
||
if __name__ == "__main__":
|
||
sys.exit(main())
|