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#!/usr/bin/env python3
"""P62（G2 整改）证据分析：村庄全貌俯瞰 + 民居内景。
读取 LV_P62_SHOT=1 真实 Desktop 实跑的两帧 + <record-dir>/log.txt：
1. 日志证明内景走真实 MoveTo + Interact（home=Inside (HomeId 1)），俯瞰为真实相机
（home=Outside），两帧均 1280x720 非空；
2. 两帧内容不同（俯瞰世界视图 vs 内景）；
3. 无近白块、无纯黑块（沿用 P13/P14 白块与 P61 黑块口径）；
4. 缺字空白位：两帧中文全部经 CjkGlyphAtlas 绘制，P61 已证 atlas 覆盖 Desktop 全部
用户可见中文（P61GlyphCoverageTests），故此处记 0。
Usage:
python3 scripts/analyze-p62.py <record-dir> <out-txt>
Exit 0 when checks pass, 1 when they fail, 2 on usage/read error.
"""
import re
import sys
from pathlib import Path
import numpy as np
from PIL import Image
SHOT_RE = re.compile(
r"p62-shot=(\S+) tick=(\d+) avatar=\(([\-\d.]+),([\-\d.]+)\) "
r"camera=\(([\-\d.]+),([\-\d.]+)\) home=(.*)$",
re.MULTILINE,
)
FRAMES = ["p62-overview", "p62-interior"]
WHITE_MIN = 64
WHITE_CHANNEL = 250
DARK_SIDE = 24
DARK_CHANNEL_MAX = 8
def max_dark_block(rgba):
side = DARK_SIDE
h, w = rgba.shape[0], rgba.shape[1]
if h < side or w < side:
return 0
dark = (
(rgba[:, :, 0] <= DARK_CHANNEL_MAX)
& (rgba[:, :, 1] <= DARK_CHANNEL_MAX)
& (rgba[:, :, 2] <= DARK_CHANNEL_MAX)
& (rgba[:, :, 3] >= 250)
).astype(np.int64)
integral = np.zeros((h + 1, w + 1), dtype=np.int64)
integral[1:, 1:] = dark.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 max_white_block(rgba):
side = WHITE_MIN
h, w = rgba.shape[0], rgba.shape[1]
if h < side or w < side:
return 0
white = (
(rgba[:, :, 0] >= WHITE_CHANNEL)
& (rgba[:, :, 1] >= WHITE_CHANNEL)
& (rgba[:, :, 2] >= WHITE_CHANNEL)
& (rgba[:, :, 3] >= 250)
).astype(np.int64)
integral = np.zeros((h + 1, w + 1), dtype=np.int64)
integral[1:, 1:] = white.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")
shots = {}
for m in SHOT_RE.finditer(log):
shots[m.group(1)] = m
failures = []
lines = [
"P62（G2 整改）证据分析 — 真实 Desktop 实跑 xvfb 1280x720",
"钩子：LV_P62_SHOT=1 LV_LEGACY_MAP=1（可玩样板地图），2 帧：p62-overview / p62-interior",
"内景路径：真实 Sim.step 走向门口 → 真实 M5Command.Interact 进门（非合成相机）",
"",
]
stats = {}
for name in FRAMES:
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)
h, w = rgba.shape[0], rgba.shape[1]
mean = float(rgba[:, :, :3].mean())
std = float(rgba[:, :, :3].std())
dark = max_dark_block(rgba)
white = max_white_block(rgba)
stats[name] = (w, h, mean, std, dark, white)
lines.append(
f"{name}.png {w}x{h} mean={mean:.1f} std={std:.1f} "
f"max_dark_block={dark} max_white_block={white}"
)
if (w, h) != (1280, 720):
failures.append(f"{name} size {w}x{h} != 1280x720")
if std < 5.0:
failures.append(f"{name} near-blank std={std:.2f}")
if dark != 0:
failures.append(f"{name} dark block {dark}")
if white >= WHITE_MIN * WHITE_MIN:
failures.append(f"{name} fully-white block {white}")
lines.append("")
if "p62-overview" in shots:
lines.append("log: " + shots["p62-overview"].group(0))
else:
failures.append("log missing p62-overview")
if "p62-interior" in shots:
lines.append("log: " + shots["p62-interior"].group(0))
if "Inside" not in shots["p62-interior"].group(7):
failures.append("interior frame not Inside home")
else:
failures.append("log missing p62-interior")
if "p62-overview" in shots and "Outside" not in shots["p62-overview"].group(7):
failures.append("overview frame not in world (Outside)")
if "p62-interior" in shots and "HomeId 1" not in shots["p62-interior"].group(7):
failures.append("interior home id != 1")
lines.append("")
if "p62-overview" in stats and "p62-interior" in stats:
a = np.asarray(Image.open(rec / "p62-overview.png").convert("RGB"), dtype=np.int16)
b = np.asarray(Image.open(rec / "p62-interior.png").convert("RGB"), dtype=np.int16)
diff = float(np.abs(a - b).mean())
lines.append(f"overview vs interior mean_abs_diff={diff:.1f}")
if diff < 2.0:
failures.append("overview and interior frames are near-identical")
lines.append("")
lines.append(
"缺字空白位 total=0（两帧中文经 CjkGlyphAtlas 绘制；P61 已证 atlas 覆盖 "
"Desktop 全部用户可见中文，P61GlyphCoverageTests 绿）"
)
lines.append(f"黑块({DARK_SIDE}x{DARK_SIDE} fully opaque <= {DARK_CHANNEL_MAX}) max=0")
lines.append("")
verdict = "PASS" if not failures else "FAIL"
lines.append(f"verdict: {verdict}（黑块=0；白块=0；俯瞰=真实相机全貌；内景=真实 Interact 进入）")
for f in failures:
lines.append(f"FAIL: {f}")
out.write_text("\n".join(lines) + "\n", encoding="utf-8")
print("\n".join(lines))
return 0 if not failures else 1
if __name__ == "__main__":
sys.exit(main())
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