更新bug

2026-07-31 11:48:16 +08:00
parent f913a57529
commit f22cc1a70d
109 changed files with 37586 additions and 927 deletions
@@ -0,0 +1,105 @@
+"""只读诊断：同一个会话的档案指纹在多次采样之间是否稳定。
+
+档案键 = 头像感知哈希(8B) + 名称哈希(32B)，而 store.has_record() 是精确匹配。
+只要指纹漂移，同一个联系人就会被当成“首次遇到”，从而丢弃复制到的聊天文字、
+只靠截图回复。这里量化漂移幅度。
+"""
+
+import os
+import sys
+import time
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+import numpy as np
+
+import wechat_bot as bot_module
+
+
+def hamming(a: bytes, b: bytes) -> int:
+    return (int.from_bytes(a, "big") ^ int.from_bytes(b, "big")).bit_count()
+
+
+def main():
+    rounds = int(sys.argv[1]) if len(sys.argv) > 1 else 8
+    bot = bot_module.WeChatBot()
+    bot.safe_window_mode = True
+    bot.auto_activate_window = True
+    if not bot.connect(activate=False, wait_if_missing=False):
+        print("[-] 未挂载到企业微信窗口")
+        return
+    if not bot._ensure_visible():
+        print("[-] 企业微信未能切到前台")
+        return
+    print(
+        "容差: 头像 %d 位以内算同一人；名称使用模糊匹配"
+        % bot_module.WeChatBot._FP_HAMMING_TOL
+    )
+
+    samples = []
+    for index in range(rounds):
+        img = bot.capture_session_list()
+        selected_y = bot.detect_selected_row(img)
+        if selected_y < 0:
+            print("  第 %d 次采样：未检测到选中行" % (index + 1))
+            time.sleep(0.4)
+            continue
+        avatar = bot._raw_session_fingerprint(img, selected_y, row_center=True)
+        name = bot._session_name_fingerprint(img, selected_y, row_center=True)
+        full = bot._session_fingerprint(img, selected_y, row_center=True)
+        samples.append((selected_y, avatar, name, full))
+        print(
+            "  第 %d 次采样：选中行 y=%-4d 头像=%s 名称=%s 完整键=%s"
+            % (index + 1, selected_y, avatar.hex(), name.hex()[:16] + "…", full.hex()[:16] + "…")
+        )
+        time.sleep(0.4)
+
+    if len(samples) < 2:
+        print("样本不足，无法比较。")
+        return
+
+    print("\n[行中心] y 取值: %s" % sorted({s[0] for s in samples}))
+    print("[头像哈希] 去重后 %d 种" % len({s[1] for s in samples}))
+    print("[名称哈希] 去重后 %d 种" % len({s[2] for s in samples}))
+    print("[完整档案键] 去重后 %d 种  <- 大于 1 就意味着同一会话会被反复当成新会话"
+          % len({s[3] for s in samples}))
+
+    base_y, base_avatar, base_name, _ = samples[0]
+    worst = 0
+    for y, avatar, name, _full in samples[1:]:
+        distance = hamming(base_avatar, avatar)
+        worst = max(worst, distance)
+        if distance:
+            print(
+                "  头像相对第 1 次漂移 %2d 位（y %d→%d）%s"
+                % (distance, base_y, y, "  超出容差！" if distance > bot_module.WeChatBot._FP_HAMMING_TOL else "")
+            )
+    print("[结论] 头像最大漂移 %d 位，容差 %d 位" % (worst, bot_module.WeChatBot._FP_HAMMING_TOL))
+
+    # 行中心偏移对指纹的影响：模拟 ±1~6 像素的行中心估算误差。
+    img = bot.capture_session_list()
+    selected_y = bot.detect_selected_row(img)
+    if selected_y >= 0:
+        anchor = bot._raw_session_fingerprint(img, selected_y, row_center=True)
+        print("\n[敏感度] 同一张图，仅把行中心挪动若干像素：")
+        for offset in (1, 2, 3, 4, 6, 8):
+            for sign in (-1, 1):
+                shifted = bot._raw_session_fingerprint(
+                    img,
+                    selected_y + sign * offset,
+                    row_center=True,
+                )
+                print(
+                    "  行中心 %+d px -> 头像漂移 %2d 位%s"
+                    % (
+                        sign * offset,
+                        hamming(anchor, shifted),
+                        "  超出容差！"
+                        if hamming(anchor, shifted) > bot_module.WeChatBot._FP_HAMMING_TOL
+                        else "",
+                    )
+                )
+
+
+if __name__ == "__main__":
+    main()