BodyBalanceEvaluation/backend/tests/moniter_windows.py

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import psutil
import time
from datetime import datetime
from pynvml import *
def get_memory_usage():
mem = psutil.virtual_memory()
return mem.percent, mem.used / (1024 ** 3), mem.total / (1024 ** 3)
def get_cpu_usage():
return psutil.cpu_percent(interval=1) # 获取CPU利用率百分比
def get_gpu_usage():
try:
nvmlInit()
device_count = nvmlDeviceGetCount()
gpu_stats = []
for i in range(device_count):
handle = nvmlDeviceGetHandleByIndex(i)
name = nvmlDeviceGetName(handle).decode("utf-8")
mem_info = nvmlDeviceGetMemoryInfo(handle)
util = nvmlDeviceGetUtilizationRates(handle)
gpu_stats.append({
"name": name,
"gpu_util": util.gpu,
"mem_util": util.memory,
"mem_used": mem_info.used / (1024 ** 3),
"mem_total": mem_info.total / (1024 ** 3)
})
nvmlShutdown()
return gpu_stats
except Exception:
return [{"name": "N/A", "gpu_util": 0, "mem_util": 0, "mem_used": 0, "mem_total": 0}]
def main():
log_file = "monitor_log.txt"
with open(log_file, "a", encoding="utf-8") as f:
while True:
now = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
# CPU
cpu_percent = get_cpu_usage()
# 内存
mem_percent, mem_used, mem_total = get_memory_usage()
# GPU
gpu_stats = get_gpu_usage()
# 拼接日志内容
log_line = (f"[{now}] CPU: {cpu_percent:.1f}% | "
f"Memory: {mem_percent:.1f}% ({mem_used:.2f} GB / {mem_total:.2f} GB)")
for gpu in gpu_stats:
log_line += (f" | GPU: {gpu['name']} {gpu['gpu_util']}% "
f"(Mem {gpu['mem_used']:.2f} GB / {gpu['mem_total']:.2f} GB)")
# 输出
print(log_line)
f.write(log_line + "\n")
f.flush()
time.sleep(9) # 这里+CPU统计的1秒总体大约10秒一个周期
if __name__ == "__main__":
main()