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Python/Computer-Status.py

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+import socket
+import psutil
+import time
+import json
+import wmi
+import pynvml
+
+
+def get_cpu_usage():
+    return psutil.cpu_percent(interval=1)
+
+
+def get_memory_usage():
+    memory_info = psutil.virtual_memory()
+    return memory_info.used / memory_info.total
+
+
+def get_disk_usage():
+    disk_info = psutil.disk_usage('C:\\')
+    return disk_info.free / disk_info.total
+
+
+def get_gpu_usage():
+    pynvml.nvmlInit()
+    handle = pynvml.nvmlDeviceGetHandleByIndex(0)
+    utilization = pynvml.nvmlDeviceGetUtilizationRates(handle)
+    pynvml.nvmlShutdown()
+    return utilization.gpu
+
+
+def main():
+    # 连接ESP8266开发板的TCP服务器
+    host = '192.168.1.42'  # ESP8266开发板的IP地址
+    port = 80
+    sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+    sock.connect((host, port))
+
+    while True:
+        cpu_usage = get_cpu_usage()
+        memory_usage = get_memory_usage()
+        disk_usage = get_disk_usage()
+        gpu_usage = get_gpu_usage()
+
+        # 将数据封装成JSON格式
+        # 将数据封装成JSON格式
+        data = {
+            'cpu': f"{round(cpu_usage, 1)}%",  # 保留一位小数
+            'memory': f"{int(memory_usage * 100)}%",  # 转换为整数形式并加上百分号
+            'disk': f"{int(disk_usage * 100)}%",  # 转换为整数形式并加上百分号
+            'gpu': f"{int(gpu_usage)}%"  # 获取电脑 GPU 使用率
+        }
+        json_data = json.dumps(data)
+
+        # 发送JSON数据到ESP8266开发板
+        sock.sendall(json_data.encode())
+
+        # 打印发送的JSON数据
+        print(f"Sent data: {json_data}")
+
+        # 等待一段时间再进行下一次数据采集和发送
+        time.sleep(5)
+
+
+if __name__ == '__main__':
+    main()