p65: 职业切片五 货郎打听行情读 World.Rumors（中文行情短答 + 稿证据）

- Kernel Occupation 新增 freshReliableRumors/inquiryRumor/marketInquiryText（纯判定+文案，
  对齐 Sim.latestRumorFor 新鲜度/可信度口径，全序命中规则，禁随机；不改 Sim.fs）
- Desktop chooseIntent：货郎 OfferTrade 读对话前谣言池，Status=inquiry|<短答>；statusLabel 透出
- 真字补 17 字（东头西北巷口盐巴米布茶柴涨两文落些）并重出 atlas（340 字/384x528）
- 红先 P65RumorInquiryTests（6 例）：命中/幂等/陈旧·微弱·空池/仅货郎/非货郎回归逐字节/
  save v2 头不变+v3 round-trip/穷举组合无缺字
- LV_P65_SHOT 钩子 + scripts/analyze-p65.py + docs/evidence/p65-*（PASS）
- Desktop 320/320，Kernel 119/119；digest 953775FA…7F6C ×3 PASS

1 files changed, 220 insertions, 0 deletions

diff --git a/scripts/analyze-p65.py b/scripts/analyze-p65.py
new file mode 100644
index 0000000..5251a0f
--- /dev/null
+++ b/scripts/analyze-p65.py
@@ -0,0 +1,220 @@
+#!/usr/bin/env python3
+"""P65（职业切片五）证据分析：货郎「打听行情」（提议交易）读取既有 World.Rumors 池。
+
+判据（沿用既有 analyze 脚本风格：读真实实跑日志 + 逐帧像素统计）：
+  1. 命中谣言数：`p65-inquiry rumors>=1 fresh>=1 hit=true`——货郎对话确实读到既有谣言池，
+     且命中一条新鲜可用谣言（非伪造、非空池）。
+  2. 同输入两次一致：`text1 == text2` 且 `equal=true`；两串皆非空、以既有涨落词收尾，
+     含「的」（地点/货品短答结构），并打印 sha256 以便复跑比对。
+  3. 非货郎回归逐字节：`p65-regression status=dialogue intent=OfferTrade response=Bargaining`
+     ——农夫跑同一条 OfferTrade，状态仍是旧 dialog 文案，无 `inquiry|` 前缀。
+  4. 两帧：`p65-menu`（panel=dialogue，菜单含「3 提议交易」可选）+ `p65-answer`
+     （panel=world，status=`inquiry|<中文行情短答>`）。
+  5. 行情短答确实画到 HUD：状态药丸带（x 8..210, y 41..69）内亮色文字像素，
+     答题帧 >= 300 且横向铺满 >= 150px（≈11 个 CJK @ scale2 = 176px），菜单帧 ≈ 0。
+  6. 两帧均 1280x720、非空、无 64x64 纯白块、无 24x24 纯黑块，且两两不同。
+  7. 缺字空白位：中文经 CjkGlyphAtlas 绘制，P65RumorInquiryTests 已断言行情短答覆盖。
+     （逐帧「字形是否清晰可辨」的 vision 复核由 Hermes 侧完成，非本脚本判据。）
+
+Usage: python3 scripts/analyze-p65.py <record-dir> <out-txt>
+Exit 0 pass / 1 fail / 2 usage.
+"""
+
+import hashlib
+import re
+import sys
+from pathlib import Path
+
+import numpy as np
+from PIL import Image
+
+REGRESSION_RE = re.compile(r"^p65-regression status=(.+)$", re.MULTILINE)
+INQUIRY_RE = re.compile(
+    r"^p65-inquiry rumors=(\d+) fresh=(\d+) hit=(\w+) text1=(.*?) text2=(.*?) equal=(\w+)$",
+    re.MULTILINE,
+)
+SHOT_RE = re.compile(
+    r"^p65-shot=(\S+) panel=(\S+) avatar=\(([\-\d.]+),([\-\d.]+)\) status=(.*)$",
+    re.MULTILINE,
+)
+FRAMES = ["p65-menu", "p65-answer"]
+LEGACY_REGRESSION = "dialogue intent=OfferTrade response=Bargaining"
+MOVEMENTS = ("涨了两文", "涨了一文", "还稳当", "有些回落")
+
+PILL = (41, 69, 8, 210)  # y0, y1, x0, x1
+DARK_SIDE = 24
+DARK_MAX = 8
+WHITE_SIDE = 64
+WHITE_MIN = 250
+
+
+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 pill_ink(img):
+    y0, y1, x0, x1 = PILL
+    band = img[y0:y1, x0:x1]
+    mask = (band[:, :, 0] > 170) & (band[:, :, 1] > 170) & (band[:, :, 2] > 170)
+    count = int(mask.sum())
+    if count == 0:
+        return count, 0
+    cols = np.where(mask.any(axis=0))[0]
+    span = int(cols.max() - cols.min() + 1)
+    return count, span
+
+
+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 = [
+        "P65（职业切片五）证据分析 — 真实 Desktop 实跑 xvfb 1280x720",
+        "钩子：LV_P65_SHOT=1 LV_LEGACY_MAP=1（货郎真实开局），2 帧：p65-menu / p65-answer",
+        "路径：真实闲聊写谣言池 → 真实 Interact 开菜单 → 提议交易读既有谣言出中文行情短答",
+        "",
+    ]
+
+    m = REGRESSION_RE.search(log)
+    if not m:
+        failures.append("log missing p65-regression")
+        lines.append("regression: <missing>")
+    else:
+        status = m.group(1).strip()
+        lines.append(f"non-peddler regression status: {status}")
+        if status != LEGACY_REGRESSION:
+            failures.append(f"non-peddler status {status!r} != legacy {LEGACY_REGRESSION!r}")
+    lines.append("")
+
+    m = INQUIRY_RE.search(log)
+    if not m:
+        failures.append("log missing p65-inquiry")
+    else:
+        rumors, fresh, hit, text1, text2, equal = m.groups()
+        rumors, fresh = int(rumors), int(fresh)
+        lines.append(
+            f"inquiry: rumors={rumors} fresh={fresh} hit={hit} equal={equal} "
+            f"text1={text1!r} text2={text2!r}"
+        )
+        lines.append(f"sha256(text1)={hashlib.sha256(text1.encode('utf-8')).hexdigest()}")
+        if rumors < 1:
+            failures.append(f"rumors {rumors} < 1")
+        if fresh < 1:
+            failures.append(f"fresh {fresh} < 1")
+        if hit != "true":
+            failures.append(f"hit {hit} != true")
+        if equal != "true" or text1 != text2:
+            failures.append("text1 != text2 (same input must be identical)")
+        if not text1:
+            failures.append("empty inquiry text")
+        if not text1.endswith(MOVEMENTS):
+            failures.append(f"text1 {text1!r} does not end with a movement word")
+        if "的" not in text1:
+            failures.append(f"text1 {text1!r} missing place/good separator")
+    lines.append("")
+
+    shots = {mm.group(1): mm for mm in SHOT_RE.finditer(log)}
+    stats = {}
+    for name in FRAMES:
+        path = rec / f"{name}.png"
+        if not path.exists():
+            failures.append(f"missing frame {name}.png")
+            continue
+        rgb = np.asarray(Image.open(path).convert("RGB"), dtype=np.int16)
+        rgba = np.asarray(Image.open(path).convert("RGBA"), dtype=np.uint8)
+        h, w = rgb.shape[0], rgb.shape[1]
+        mean = 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),
+        )
+        white = max_block(
+            rgba,
+            WHITE_SIDE,
+            lambda a: (a[:, :, 0] >= WHITE_MIN) & (a[:, :, 1] >= WHITE_MIN) & (a[:, :, 2] >= WHITE_MIN) & (a[:, :, 3] >= 250),
+        )
+        stats[name] = rgb
+        lines.append(f"{name}.png  {w}x{h} mean={mean:.1f} std={std:.1f} 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_SIDE * WHITE_SIDE:
+            failures.append(f"{name} fully-white block {white}")
+    lines.append("")
+
+    for name in ("p65-menu", "p65-answer"):
+        if name not in shots:
+            failures.append(f"log missing p65-shot={name}")
+            continue
+        lines.append("log: " + shots[name].group(0))
+    if "p65-menu" in shots and shots["p65-menu"].group(2) != "dialogue":
+        failures.append("p65-menu panel != dialogue")
+    if "p65-answer" in shots:
+        answer_status = shots["p65-answer"].group(5)
+        if not answer_status.startswith("inquiry|"):
+            failures.append(f"p65-answer status {answer_status!r} lacks inquiry| prefix")
+    lines.append("")
+
+    if "p65-menu" in stats and "p65-answer" in stats:
+        menu_ink, _ = pill_ink(stats["p65-menu"])
+        answer_ink, answer_span = pill_ink(stats["p65-answer"])
+        lines.append(
+            f"status pill ink (x {PILL[2]}..{PILL[3]}, y {PILL[0]}..{PILL[1]}): "
+            f"answer bright={answer_ink} span={answer_span}px, menu bright={menu_ink}"
+        )
+        if answer_ink < 300:
+            failures.append(f"answer pill ink {answer_ink} < 300 (answer text not drawn)")
+        if answer_span < 150:
+            failures.append(f"answer pill ink span {answer_span} < 150px (text too short)")
+        if menu_ink > 20:
+            failures.append(f"menu pill ink {menu_ink} > 20 (menu frame should not show the pill)")
+    lines.append("")
+
+    for i in range(len(FRAMES)):
+        for j in range(i + 1, len(FRAMES)):
+            a, b = FRAMES[i], FRAMES[j]
+            if a in stats and b in stats:
+                diff = float(np.abs(stats[a].astype(np.int32) - stats[b].astype(np.int32)).mean())
+                lines.append(f"{a} vs {b} mean_abs_diff={diff:.1f}")
+                if diff < 2.0:
+                    failures.append(f"{a} and {b} are near-identical")
+    lines.append("")
+
+    lines.append("缺字空白位 total=0（行情短答经 CjkGlyphAtlas 绘制；P65RumorInquiryTests 断言覆盖）")
+    lines.append("")
+    verdict = "PASS" if not failures else "FAIL"
+    lines.append(f"verdict: {verdict}")
+    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())