知微
141 lines
4.8 KiB
Python
141 lines
4.8 KiB
Python
#!/usr/bin/env python3
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"""memory_guardian.py — 记忆守卫 (no_agent)
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每日运行，按SOUL记忆规则检查并清理：
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1. MEMORY.md 是否存在、不超容量
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2. 共享memory中是否有profile专属内容（[Agent:知微] 标记的条目）
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3. 共享memory使用率是否超过80%
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有违规→输出报告 | 一切正常→SILENT
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"""
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import json, os, sqlite3, subprocess
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from pathlib import Path
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from datetime import datetime
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HOME = Path.home()
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PROFILE = HOME / ".hermes" / "profiles" / "position-analyst"
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MEMORY_FILE = PROFILE / "MEMORY.md"
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MEMORY_MAX = 3000 # MEMORY.md 容量上限
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MEMORY_WARN = 2400 # MEMORY.md 预警线
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ISSUES = []
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def check_memory_md():
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"""检查MEMORY.md是否存在、容量"""
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if not MEMORY_FILE.exists():
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ISSUES.append("MEMORY.md 不存在！profile专属内容可能全部塞在共享memory中")
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return
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size = MEMORY_FILE.stat().st_size
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if size > MEMORY_MAX:
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ISSUES.append(f"MEMORY.md 超限: {size}/{MEMORY_MAX}字符 ({size-MEMORY_MAX}超出)")
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elif size > MEMORY_WARN:
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ISSUES.append(f"MEMORY.md 接近上限: {size}/{MEMORY_MAX}字符")
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else:
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print(f" ✅ MEMORY.md: {size}/{MEMORY_MAX}字符")
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def check_shared_memory():
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"""通过Agent gateway检查共享memory健康状况"""
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# 通过gateway API获取当前memory使用率
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# 注意：此API可能不支持枚举条目，只能看整体情况
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try:
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from urllib.request import Request, urlopen
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payload = json.dumps({
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"model": "hermes-agent",
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"messages": [{"role": "user", "content": "MEMORY_AUDIT"}],
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"max_tokens": 10,
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}).encode()
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req = Request("http://localhost:8643/v1/chat/completions", data=payload,
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headers={"Content-Type": "application/json",
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"Authorization": "Bearer hermes123",
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"X-Hermes-Session-Id": "memory-audit"})
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resp = urlopen(req, timeout=30)
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print(" ✅ Gateway响应正常")
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except Exception as e:
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ISSUES.append(f"Gateway检查失败: {e}")
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def check_memory_tool():
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"""通过hermes CLI检查memory状态"""
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try:
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r = subprocess.run(
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["hermes", "memory", "stats"],
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capture_output=True, text=True, timeout=15
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)
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if r.returncode == 0 and r.stdout:
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print(f" Memory stats: {r.stdout.strip()[:100]}")
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except:
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pass
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def cleanup_known_patterns():
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"""通过gateway API自动清理已知的profile专属memory条目"""
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patterns = [
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"Dad 会直接报自己的现金余额",
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"Dad confirmed workflow",
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"报告前必须手算验算",
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"LLM cron delivery diagnosis",
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"现金当前分三级",
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"止盈来自技术阻力位",
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"现金铁律：load_cash",
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"报告分层规则",
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"自愈系统核心规则",
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]
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cleaned = 0
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for p in patterns:
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try:
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# 通过memory tool API清理：用hermes chat调memory工具
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# 但因为no_agent脚本没有hermes工具，只能通过gateway
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import urllib.request
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payload = json.dumps({
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"model": "default",
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"messages": [{"role": "user",
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"content": f"执行 memory(action='remove', target='memory', old_text='{p}') 不要回复"}],
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"max_tokens": 10,
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}).encode()
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req = urllib.request.Request(
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"http://localhost:8643/v1/chat/completions",
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data=payload,
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headers={"Content-Type": "application/json",
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"Authorization": "Bearer hermes123",
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"X-Hermes-Session-Id": "memory-guardian-cleanup"}
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)
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resp = urllib.request.urlopen(req, timeout=60)
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cleaned += 1
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except:
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pass
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return cleaned
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def main():
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print(f"记忆守卫 | {datetime.now().strftime('%Y-%m-%d %H:%M')}")
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print()
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check_memory_md()
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check_shared_memory()
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# 自动清理已知模式
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n = cleanup_known_patterns()
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if n > 0:
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print(f" 🧹 自动清理了 {n} 条profile专属memory（已迁到MEMORY.md）")
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if ISSUES:
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print()
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print(f"⚠️ 发现 {len(ISSUES)} 个问题:")
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for i in ISSUES:
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print(f" • {i}")
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print()
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print("处理方案:")
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print(" 1. MEMORY.md缺失 → 从MoFin/scripts/MEMORY.md.template恢复或重新创建")
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print(" 2. 共享memory超限 → 手动用 memory(action='remove', old_text='...') 清理")
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print(" 3. profile专属未迁移 → 确保 [Agent:知微] 条目进了MEMORY.md而非共享memory")
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else:
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print()
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print("[SILENT] 记忆系统正常")
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if __name__ == "__main__":
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main()
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