fix: guardian每日调gateway清理memory, 花token但省心

scripts/memory_guardian.py

@@ -3,27 +3,25 @@
 
 每日运行，按SOUL记忆规则检查并清理：
 1. MEMORY.md 是否存在、不超容量
-2. 共享memory中是否有profile专属内容（[Agent:知微] 标记的条目）
-3. 共享memory使用率是否超过80%
+2. 通过gateway自动清理共享memory中带[Agent:知微]的profile专属条目
+3. 报告结果给Dad
 
 有违规→输出报告 | 一切正常→SILENT
 """
 
-import json, os, sqlite3, subprocess
+import json, subprocess, urllib.request
 from pathlib import Path
 from datetime import datetime
 
 HOME = Path.home()
 PROFILE = HOME / ".hermes" / "profiles" / "position-analyst"
 MEMORY_FILE = PROFILE / "MEMORY.md"
-MEMORY_MAX = 3000  # MEMORY.md 容量上限
-MEMORY_WARN = 2400  # MEMORY.md 预警线
-
+MEMORY_MAX = 3000
+MEMORY_WARN = 2400
 ISSUES = []
 
 
 def check_memory_md():
-    """检查MEMORY.md是否存在、容量"""
     if not MEMORY_FILE.exists():
         ISSUES.append("MEMORY.md 不存在！profile专属内容可能全部塞在共享memory中")
         return
@@ -36,101 +34,46 @@ def check_memory_md():
         print(f"  ✅ MEMORY.md: {size}/{MEMORY_MAX}字符")
 
 
-def check_shared_memory():
-    """通过Agent gateway检查共享memory健康状况"""
-    # 通过gateway API获取当前memory使用率
-    # 注意：此API可能不支持枚举条目，只能看整体情况
+def cleanup_memory():
+    """通过gateway自动清理共享memory中profile专属条目"""
     try:
-        from urllib.request import Request, urlopen
         payload = json.dumps({
-            "model": "hermes-agent",
-            "messages": [{"role": "user", "content": "MEMORY_AUDIT"}],
-            "max_tokens": 10,
+            "model": "default",
+            "messages": [{"role": "user",
+                "content": "清理共享memory中所有带[Agent:知微]标签或Session:2026的条目。"
+                           "这些应该放在MEMORY.md而非共享memory。"
+                           "用memory(action='remove', old_text='唯一子串')逐条删除。"
+                           "完成后回复'清理完成'。"}],
+            "max_tokens": 100,
         }).encode()
-        req = Request("http://localhost:8643/v1/chat/completions", data=payload,
-                      headers={"Content-Type": "application/json",
-                               "Authorization": "Bearer hermes123",
-                               "X-Hermes-Session-Id": "memory-audit"})
-        resp = urlopen(req, timeout=30)
-        print("  ✅ Gateway响应正常")
-    except Exception as e:
-        ISSUES.append(f"Gateway检查失败: {e}")
-
-
-def check_memory_tool():
-    """通过hermes CLI检查memory状态"""
-    try:
-        r = subprocess.run(
-            ["hermes", "memory", "stats"],
-            capture_output=True, text=True, timeout=15
+        req = urllib.request.Request(
+            "http://localhost:8643/v1/chat/completions",
+            data=payload,
+            headers={"Content-Type": "application/json",
+                     "Authorization": "Bearer hermes123",
+                     "X-Hermes-Session-Id": "memory-guardian"}
         )
-        if r.returncode == 0 and r.stdout:
-            print(f"  Memory stats: {r.stdout.strip()[:100]}")
-    except:
-        pass
-
-
-def cleanup_known_patterns():
-    """通过gateway API自动清理已知的profile专属memory条目"""
-    patterns = [
-        "Dad 会直接报自己的现金余额",
-        "Dad confirmed workflow",
-        "报告前必须手算验算",
-        "LLM cron delivery diagnosis",
-        "现金当前分三级",
-        "止盈来自技术阻力位",
-        "现金铁律：load_cash",
-        "报告分层规则",
-        "自愈系统核心规则",
-    ]
-    cleaned = 0
-    for p in patterns:
-        try:
-            # 通过memory tool API清理：用hermes chat调memory工具
-            # 但因为no_agent脚本没有hermes工具，只能通过gateway
-            import urllib.request
-            payload = json.dumps({
-                "model": "default",
-                "messages": [{"role": "user",
-                    "content": f"执行 memory(action='remove', target='memory', old_text='{p}') 不要回复"}],
-                "max_tokens": 10,
-            }).encode()
-            req = urllib.request.Request(
-                "http://localhost:8643/v1/chat/completions",
-                data=payload,
-                headers={"Content-Type": "application/json",
-                         "Authorization": "Bearer hermes123",
-                         "X-Hermes-Session-Id": "memory-guardian-cleanup"}
-            )
-            resp = urllib.request.urlopen(req, timeout=60)
-            cleaned += 1
-        except:
-            pass
-    return cleaned
+        resp = urllib.request.urlopen(req, timeout=120)
+        result = json.loads(resp.read())
+        reply = result["choices"][0]["message"]["content"]
+        return "清理完成" in reply, reply[:200]
+    except Exception as e:
+        return False, str(e)[:200]
 
 
 def main():
     print(f"记忆守卫 | {datetime.now().strftime('%Y-%m-%d %H:%M')}")
     print()
-
     check_memory_md()
-    check_shared_memory()
-    
-    # 自动清理已知模式
-    n = cleanup_known_patterns()
-    if n > 0:
-        print(f"  🧹 自动清理了 {n} 条profile专属memory（已迁到MEMORY.md）")
+
+    ok, detail = cleanup_memory()
+    print(f"  {'✅' if ok else '⚠️'} 共享memory清理: {'已完成' if ok else detail}")
 
     if ISSUES:
         print()
         print(f"⚠️ 发现 {len(ISSUES)} 个问题:")
         for i in ISSUES:
             print(f"  • {i}")
-        print()
-        print("处理方案:")
-        print("  1. MEMORY.md缺失 → 从MoFin/scripts/MEMORY.md.template恢复或重新创建")
-        print("  2. 共享memory超限 → 手动用 memory(action='remove', old_text='...') 清理")
-        print("  3. profile专属未迁移 → 确保 [Agent:知微] 条目进了MEMORY.md而非共享memory")
     else:
         print()
         print("[SILENT] 记忆系统正常")