66 lines
2.6 KiB
Python
66 lines
2.6 KiB
Python
#!/usr/bin/env python3
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r"""golden_compare.py — C 档黄金图对比（迭代 9 卡⑰b 2026-09-30；呈现层测试分级·周期重闸件）。
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用法: python tools/golden_compare.py <黄金图目录> <新截图目录> [屏清单...]
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默认屏清单 = shot_menu.png shot_camp.png shot_level.png shot_battle.png。
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判据（容差口径，v1 冻结）:
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① 四屏存在且尺寸一致（与黄金图逐屏比对）;
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② 逐像素灰度差 >16 的像素占比 ≤2%（抗锯齿/微噪声容差带——结构级变化必超带）;
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③ changed 占比 >2% 即 FAIL（视觉回归信号——逐屏列差异热区提示）。
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基准冻结=2026-09-30（v3.5 视觉落码+营地终稿+分辨率案甲后）;资产升档批换代时显式重制基准。
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退出码: 0 = 全过 / 1 = 有失败。
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"""
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import sys
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from pathlib import Path
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from PIL import Image, ImageChops
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TOLERANCE = 16 # 灰度差容差（单通道）
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FAIL_RATIO = 0.02 # changed 占比失败线
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def compare(base: Path, curr: Path, name: str, failures: list) -> None:
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pb, pc = base / name, curr / name
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if not pb.exists():
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failures.append("%s: 黄金图缺失（基准未建）" % name)
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return
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if not pc.exists():
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failures.append("%s: 新截图缺失" % name)
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return
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a = Image.open(pb).convert("L")
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b = Image.open(pc).convert("L")
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if a.size != b.size:
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failures.append("%s: 尺寸 %s != 基准 %s" % (name, b.size, a.size))
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return
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diff = ImageChops.difference(a, b)
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hist = diff.histogram()
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total = a.size[0] * a.size[1]
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changed = sum(hist[TOLERANCE + 1:]) / total
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print("[golden] %s — changed=%.2f%%（容差 ≤%.0f 差/≤%.0f%%）%s" % (
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name, changed * 100, TOLERANCE, FAIL_RATIO * 100, "OK" if changed <= FAIL_RATIO else "FAIL"))
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if changed > FAIL_RATIO:
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failures.append("%s: changed %.2f%% > %.0f%%（视觉回归——核对热区后重制或修复）" % (name, changed * 100, FAIL_RATIO * 100))
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def main() -> int:
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if len(sys.argv) < 3:
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print("用法: python tools/golden_compare.py <黄金图目录> <新截图目录> [屏清单...]")
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return 1
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base, curr = Path(sys.argv[1]), Path(sys.argv[2])
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shots = sys.argv[3:] or ["shot_menu.png", "shot_camp.png", "shot_level.png", "shot_battle.png"]
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failures = []
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for name in shots:
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compare(base, curr, name, failures)
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if failures:
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print("[golden] FAIL——")
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for f in failures:
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print(" - %s" % f)
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return 1
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print("[golden] PASS（%d 屏黄金图对比全过）" % len(shots))
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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