问题描述
目前我正在开发一个 python Flask 应用程序。我需要获取机器的cpu、内存、磁盘数据。我想使用 Python 脚本使用 node-exporter 获取这些数据。目前我正在处理虚拟数据。
以下是提供的说明:
有人知道如何开发这种 Python 脚本吗?
这是我没有节点导出器查询的控制器类:
indicator_data = db.session.query(Indicator_data.indicator_data_id,Indicator_data.indicator_id,Indicator_data.value,Vnfc_instance.vnfc_instance_id,Vnfc_instance.vnfc_instance_name,func.max(Indicator_data.timestamp)).group_by(Indicator_data.indicator_id)
get_indicators_list = []
for indicator_record in indicator_data:
indicator_data_id = indicator_record.indicator_data_id
value = indicator_record.value
vnfc_instance_id = indicator_record.vnfc_instance_id
vnfc_instance_name = indicator_record.vnfc_instance_name
self_dict = {
'href': request.base_url,}
vnfInstance_dict = {
'href': 'https//:www.example.com',}
links_dic = {
'self': self_dict,'vnfInstance': vnfInstance_dict
}
get_indicators_dict = {
'_links': links_dic,'id': indicator_data_id,'value': value,'vnfInstanceId': vnfc_instance_id,'name': vnfc_instance_name
}
get_indicators_list.append(get_indicators_dict)
print(get_indicators_dict)
return get_indicators_list
解决方法
看到这个example:
import psutil
import time
from prometheus.collectors import Gauge
ram_metric = Gauge("memory_usage_bytes","Memory usage in bytes.",{'host': host})
cpu_metric = Gauge("cpu_usage_percent","CPU usage percent.",{'host': host})
while True:
time.sleep(1)
# Add ram metrics
ram = psutil.virtual_memory()
swap = psutil.swap_memory()
ram_metric.set({'type': "virtual",},ram.used)
ram_metric.set({'type': "virtual",'status': "cached"},ram.cached)
ram_metric.set({'type': "swap"},swap.used)
# Add cpu metrics
for c,p in enumerate(psutil.cpu_percent(interval=1,percpu=True)):
cpu_metric.set({'core': c},p)