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#!/usr/bin/env python3
"""P73（昼夜光照层次：四时段档）证据分析：同一桥头机位 6/12/18/22 时四张真实帧。
判据（读真实实跑日志 + 逐帧像素统计）：
1. 日志含四行 `p73-shot=p73-<period> hour=.. period=.. blend=.. lantern=.. tint=.. veil=..`，
时段名覆盖 清晨/正午/黄昏/夜晚。
2. 参数一致性：正午 veil=0 且 lantern=0；黄昏 lantern>=0.3（路灯/灯笼开始点亮）；
夜晚 lantern>=1.0；四行 veil/tint/blend 组合两两不同。
3. 抽帧 PNG：1280x720、非空白（std>=8）、无 24x24 纯黑块。
4. 可辨差异：逐帧平均亮度（night 最暗、noon 最亮）与平均暖度（黄昏 R-B 最高）；
四帧两两像素 diff > 0。
5. 色调是否「好看/自然」的 vision 复核由 Hermes 侧完成，非本脚本判据。
Usage: python3 scripts/analyze-p73.py <record-dir> <out-txt>
Exit 0 pass / 1 fail / 2 usage.
"""
import re
import sys
from pathlib import Path
import numpy as np
from PIL import Image
SHOT_RE = re.compile(
r"^p73-shot=(\S+) hour=([\d.]+) tick=(\d+) period=(\S+) blend=([\d.]+) lantern=([\d.]+) tint=(\d+),(\d+),(\d+) veil=(\d+)$",
re.MULTILINE,
)
ORDER = ["p73-morning", "p73-noon", "p73-dusk", "p73-night"]
DARK_SIDE = 24
DARK_MAX = 8
def max_block(rgba, side, predicate):
h, w = rgba.shape[0], rgba.shape[1]
if h < side or w < side:
return 0
mask = predicate(rgba).astype(np.int64)
integral = np.zeros((h + 1, w + 1), dtype=np.int64)
integral[1:, 1:] = mask.cumsum(axis=0).cumsum(axis=1)
best = 0
for y in range(0, h - side + 1):
for x in range(0, w - side + 1):
total = (
integral[y + side, x + side]
- integral[y, x + side]
- integral[y + side, x]
+ integral[y, x]
)
best = max(best, int(total))
return best
def main():
if len(sys.argv) != 3:
print(__doc__)
return 2
rec = Path(sys.argv[1])
out = Path(sys.argv[2])
log = (rec / "log.txt").read_text(encoding="utf-8", errors="replace")
failures = []
lines = [
"P73（昼夜光照层次：清晨/正午/黄昏/夜晚四档）证据分析 — 真实 Desktop xvfb 1280x720",
"钩子：LV_P73_SHOT=1（同一桥头光源机位，6/12/18/22 各一帧，画面差异只来自光照）",
"路径：tick → periodAtTick → periodLighting(环境色调/覆盖色/VeilAlpha/灯光) + 连续 blend/warmth veils",
"",
]
shots = {}
for m in SHOT_RE.finditer(log):
name = m.group(1)
if name not in shots:
shots[name] = {
"hour": float(m.group(2)),
"tick": int(m.group(3)),
"period": m.group(4),
"blend": float(m.group(5)),
"lantern": float(m.group(6)),
"tint": (int(m.group(7)), int(m.group(8)), int(m.group(9))),
"veil": int(m.group(10)),
}
for name in ORDER:
if name not in shots:
failures.append(f"log missing p73-shot={name}")
else:
s = shots[name]
lines.append(
f"{name}: hour={s['hour']} tick={s['tick']} period={s['period']} blend={s['blend']} lantern={s['lantern']} tint={s['tint']} veil={s['veil']}"
)
lines.append("")
if "p73-noon" in shots:
s = shots["p73-noon"]
if s["veil"] != 0:
failures.append(f"noon veil {s['veil']} != 0 (must be identity)")
if s["lantern"] != 0.0:
failures.append(f"noon lantern {s['lantern']} != 0")
if "p73-dusk" in shots and shots["p73-dusk"]["lantern"] < 0.3:
failures.append(f"dusk lantern {shots['p73-dusk']['lantern']} < 0.3 (lamps must start at dusk)")
if "p73-night" in shots and shots["p73-night"]["lantern"] < 1.0:
failures.append(f"night lantern {shots['p73-night']['lantern']} < 1.0")
combos = {(s["blend"], s["lantern"], s["tint"], s["veil"]) for s in shots.values()}
if len(combos) < len(shots):
failures.append("two periods share identical (blend,lantern,tint,veil) parameters")
lines.append("")
stats = {}
for name in ORDER:
path = rec / f"{name}.png"
if not path.exists():
failures.append(f"missing frame {name}.png")
continue
rgba = np.asarray(Image.open(path).convert("RGBA"), dtype=np.uint8)
rgb = rgba[:, :, :3].astype(np.float64)
h, w = rgb.shape[0], rgb.shape[1]
mean = rgb.mean(axis=(0, 1))
warmth = float(mean[0] - mean[2])
brightness = float(rgb.mean())
std = float(rgb.std())
dark = max_block(
rgba, DARK_SIDE,
lambda a: (a[:, :, 0] <= DARK_MAX) & (a[:, :, 1] <= DARK_MAX) & (a[:, :, 2] <= DARK_MAX) & (a[:, :, 3] >= 250),
)
stats[name] = {"brightness": brightness, "warmth": warmth, "std": std}
lines.append(
f"{name}.png: size={w}x{h} brightness={brightness:.1f} R={mean[0]:.1f} G={mean[1]:.1f} B={mean[2]:.1f} warmth(R-B)={warmth:+.1f} std={std:.1f} dark_block={dark}"
)
if (w, h) != (1280, 720):
failures.append(f"{name}.png size {w}x{h} != 1280x720")
if std < 8.0:
failures.append(f"{name}.png looks blank (std={std:.1f})")
if dark > 0:
failures.append(f"{name}.png has {DARK_SIDE}x{DARK_SIDE} pure-black block")
lines.append("")
have = [n for n in ORDER if n in stats]
for i in range(len(have)):
for j in range(i + 1, len(have)):
a = np.asarray(Image.open(rec / f"{have[i]}.png").convert("RGB"), dtype=np.int16)
b = np.asarray(Image.open(rec / f"{have[j]}.png").convert("RGB"), dtype=np.int16)
differing = int((np.abs(a - b).sum(axis=2) > 0).sum())
lines.append(f"diff {have[i]} vs {have[j]}: differing_pixels={differing}")
if differing == 0:
failures.append(f"{have[i]} identical to {have[j]}")
if all(n in stats for n in ORDER):
if not (stats["p73-dusk"]["warmth"] > stats["p73-noon"]["warmth"]):
failures.append("dusk is not warmer than noon (R-B)")
if not (stats["p73-night"]["warmth"] < stats["p73-noon"]["warmth"]):
failures.append("night is not cooler than noon (R-B)")
if not (stats["p73-night"]["brightness"] < stats["p73-dusk"]["brightness"]):
failures.append("night is not darker than dusk")
if not (stats["p73-night"]["brightness"] < stats["p73-morning"]["brightness"]):
failures.append("night is not darker than morning")
lines.append("")
lines.append(
f"brightness order: "
+ " > ".join(f"{n.split('-')[1]}({stats[n]['brightness']:.1f})" for n in sorted(ORDER, key=lambda n: -stats[n]["brightness"]))
)
lines.append(
f"warmth order: "
+ " > ".join(f"{n.split('-')[1]}({stats[n]['warmth']:+.1f})" for n in sorted(ORDER, key=lambda n: -stats[n]["warmth"]))
)
lines.append("")
if failures:
lines.append("verdict=FAIL")
for f in failures:
lines.append(" - " + f)
else:
lines.append("verdict=PASS")
lines.append(" four periods have distinct parameters; noon identity, dusk lamps on, night lamps full;")
lines.append(" real frames render 1280x720, differ pairwise, night darker / noon brighter / dusk warmer.")
out.parent.mkdir(parents=True, exist_ok=True)
out.write_text("\n".join(lines) + "\n", encoding="utf-8")
print(f"wrote {out} verdict={'FAIL' if failures else 'PASS'}")
return 1 if failures else 0
if __name__ == "__main__":
sys.exit(main())
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