feat: CPU页加负载诊断+优化建议+一键优化系统

app.py

@@ -558,6 +558,83 @@ def _df_host():
     except Exception:
         return {}
 
+@app.route("/api/cpu/advise")
+def api_cpu_advise():
+    """负载诊断:档位结论 + 能否顶住 + 优化建议"""
+    try:
+        load = list(os.getloadavg())
+    except Exception:
+        load = [0, 0, 0]
+    try:
+        cpu_pct = psutil.cpu_percent(interval=None)
+    except Exception:
+        cpu_pct = 0
+    try:
+        vm = psutil.virtual_memory()
+    except Exception:
+        vm = None
+    logical = psutil.cpu_count() or 1
+    l1 = load[0]
+    per_core = l1 / logical
+    if per_core < 0.5 and (cpu_pct or 0) < 50:
+        level, verdict = "轻松", "✅ 当前配置完全顶得住，负载很轻，还有大量余量。"
+    elif per_core < 0.8 and (cpu_pct or 0) < 75:
+        level, verdict = "正常", "✅ 当前配置顶得住，负载正常，日常使用流畅。"
+    elif per_core < 1.0 and (cpu_pct or 0) < 90:
+        level, verdict = "偏高", "⚠️ 当前配置勉强顶住，高峰期可能卡顿，建议按下面方法优化。"
+    else:
+        level, verdict = "过载", "🔴 当前配置顶不住了！负载已超过 CPU 承受能力，请立即优化或升级。"
+    tips = []
+    tops = sorted(cache.get("procs", []), key=lambda x: x.get("cpu", 0), reverse=True)[:3]
+    if tops and (tops[0].get("cpu") or 0) > 50:
+        tips.append("🎯 头号吃CPU进程是 %s（占用 %s%%，PID %s），如非必需请结束它，效果最明显。" % (
+            tops[0].get("name"), tops[0].get("cpu"), tops[0].get("pid")))
+    if vm is not None and vm.percent > 85:
+        tips.append("💾 内存已用 %s%%，内存不足会拖慢 CPU（频繁 swap）。先点内存页「一键回收」，或加内存条。" % vm.percent)
+    tips.append("🧹 点下方「一键优化系统」：自动数据落盘 + 回收内存缓存 + 内存碎片整理，1 分钟见效。")
+    tips.append("📦 精简开机自启与常驻 Docker 容器，不用的先停掉（docker stop），负载立降。")
+    tips.append("🌡️ 检查散热：CPU 过热会自动降频，清理灰尘、保证通风，频率上去了自然流畅。")
+    return jsonify({"load": [round(x, 2) for x in load], "cpu": round(cpu_pct or 0, 1),
+                    "logical": logical, "per_core": round(per_core, 2),
+                    "level": level, "verdict": verdict, "tips": tips,
+                    "top_cpu": [{"name": t.get("name"), "cpu": t.get("cpu"), "pid": t.get("pid")} for t in tops]})
+
+@app.route("/api/sys/optimize", methods=["POST"])
+def api_sys_optimize():
+    """一键优化系统: drop caches + sync +  compact(若支持),返回前后对比"""
+    steps = []
+    try:
+        before_mem = psutil.virtual_memory().available
+    except Exception:
+        before_mem = 0
+    try:
+        subprocess.run(["sync"], check=False, timeout=15)
+        steps.append("sync 数据落盘 ✅")
+    except Exception as e:
+        steps.append("sync 失败: %s" % e)
+    try:
+        p = os.environ.get("PROCFS_PATH", "/proc")
+        with open(os.path.join(p, "sys", "vm", "drop_caches"), "w") as f:
+            f.write("3")
+        steps.append("回收内存缓存 ✅")
+    except Exception as e:
+        steps.append("回收缓存失败: %s" % e)
+    try:
+        cp = os.path.join(os.environ.get("PROCFS_PATH", "/proc"), "sys", "vm", "compact_memory")
+        if os.path.exists(cp):
+            with open(cp, "w") as f:
+                f.write("1")
+            steps.append("内存碎片整理 ✅")
+    except Exception as e:
+        steps.append("碎片整理跳过: %s" % e)
+    try:
+        after_mem = psutil.virtual_memory().available
+    except Exception:
+        after_mem = 0
+    return jsonify({"ok": True, "steps": steps,
+                    "freed": max(0, after_mem - before_mem),
+                    "available": after_mem})
+
 @app.route("/api/mem/drop", methods=["POST"])
 def api_mem_drop():
     import subprocess