优化项目架构

SproutFarm-Backend/test/monitor_special_farm.py

@@ -0,0 +1,155 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+"""
+特殊农场系统性能监控脚本
+用于监控特殊农场系统的资源使用情况
+"""
+
+import psutil
+import time
+import threading
+from datetime import datetime
+
+class SpecialFarmMonitor:
+    def __init__(self):
+        self.monitoring = False
+        self.monitor_thread = None
+        self.stats = {
+            'cpu_usage': [],
+            'memory_usage': [],
+            'thread_count': [],
+            'start_time': None
+        }
+    
+    def start_monitoring(self, duration=60):
+        """开始监控指定时间（秒）"""
+        if self.monitoring:
+            print("监控已在运行中")
+            return
+        
+        self.monitoring = True
+        self.stats['start_time'] = datetime.now()
+        
+        def monitor_loop():
+            print(f"开始监控特殊农场系统性能 - {self.stats['start_time']}")
+            print(f"监控时长: {duration} 秒")
+            print("=" * 50)
+            
+            start_time = time.time()
+            while self.monitoring and (time.time() - start_time) < duration:
+                try:
+                    # 获取当前进程信息
+                    process = psutil.Process()
+                    
+                    # CPU使用率
+                    cpu_percent = process.cpu_percent()
+                    self.stats['cpu_usage'].append(cpu_percent)
+                    
+                    # 内存使用情况
+                    memory_info = process.memory_info()
+                    memory_mb = memory_info.rss / 1024 / 1024
+                    self.stats['memory_usage'].append(memory_mb)
+                    
+                    # 线程数量
+                    thread_count = process.num_threads()
+                    self.stats['thread_count'].append(thread_count)
+                    
+                    # 实时显示
+                    elapsed = int(time.time() - start_time)
+                    print(f"\r[{elapsed:3d}s] CPU: {cpu_percent:5.1f}% | 内存: {memory_mb:6.1f}MB | 线程: {thread_count:2d}", end="", flush=True)
+                    
+                    time.sleep(1)
+                    
+                except Exception as e:
+                    print(f"\n监控出错: {str(e)}")
+                    break
+            
+            self.monitoring = False
+            print("\n" + "=" * 50)
+            self._print_summary()
+        
+        self.monitor_thread = threading.Thread(target=monitor_loop, daemon=True)
+        self.monitor_thread.start()
+    
+    def stop_monitoring(self):
+        """停止监控"""
+        self.monitoring = False
+        if self.monitor_thread:
+            self.monitor_thread.join(timeout=2)
+    
+    def _print_summary(self):
+        """打印监控摘要"""
+        if not self.stats['cpu_usage']:
+            print("没有收集到监控数据")
+            return
+        
+        print("监控摘要:")
+        print(f"监控时间: {self.stats['start_time']} - {datetime.now()}")
+        print(f"数据点数: {len(self.stats['cpu_usage'])}")
+        
+        # CPU统计
+        cpu_avg = sum(self.stats['cpu_usage']) / len(self.stats['cpu_usage'])
+        cpu_max = max(self.stats['cpu_usage'])
+        print(f"CPU使用率 - 平均: {cpu_avg:.1f}%, 最高: {cpu_max:.1f}%")
+        
+        # 内存统计
+        mem_avg = sum(self.stats['memory_usage']) / len(self.stats['memory_usage'])
+        mem_max = max(self.stats['memory_usage'])
+        print(f"内存使用量 - 平均: {mem_avg:.1f}MB, 最高: {mem_max:.1f}MB")
+        
+        # 线程统计
+        thread_avg = sum(self.stats['thread_count']) / len(self.stats['thread_count'])
+        thread_max = max(self.stats['thread_count'])
+        print(f"线程数量 - 平均: {thread_avg:.1f}, 最高: {thread_max}")
+        
+        # 性能评估
+        print("\n性能评估:")
+        if cpu_avg < 1.0:
+            print("✓ CPU使用率很低，性能良好")
+        elif cpu_avg < 5.0:
+            print("✓ CPU使用率正常")
+        else:
+            print("⚠ CPU使用率较高，可能需要优化")
+        
+        if mem_avg < 50:
+            print("✓ 内存使用量很低")
+        elif mem_avg < 100:
+            print("✓ 内存使用量正常")
+        else:
+            print("⚠ 内存使用量较高")
+        
+        if thread_max <= 10:
+            print("✓ 线程数量合理")
+        else:
+            print("⚠ 线程数量较多，注意资源管理")
+
+def main():
+    """主函数"""
+    print("特殊农场系统性能监控工具")
+    print("使用说明:")
+    print("1. 启动游戏服务器")
+    print("2. 运行此监控脚本")
+    print("3. 观察特殊农场系统的资源使用情况")
+    print()
+    
+    monitor = SpecialFarmMonitor()
+    
+    try:
+        # 监控60秒
+        monitor.start_monitoring(60)
+        
+        # 等待监控完成
+        while monitor.monitoring:
+            time.sleep(1)
+        
+        print("\n监控完成")
+        
+    except KeyboardInterrupt:
+        print("\n用户中断监控")
+        monitor.stop_monitoring()
+    except Exception as e:
+        print(f"\n监控过程中出错: {str(e)}")
+        monitor.stop_monitoring()
+
+if __name__ == "__main__":
+    main()