Python实现VMware自动化资源巡检

推送效果：

E:\PYPJ1\Scripts\python.exe C:\Users\PycharmProjects\pythonProject\main.py 
自动化巡检-执行时间：2024-03-25 14:47:04
Connected to vCenter
Found datacenter: CN-SH-Datacenter----------存储资源指标----------
资源总容量：193.93TB
总利用率：59.89%
总已用容量：116.14TB
总空闲容量：77.79TB
健康阈值内总可用容量(<80%)：39.40TB
VMware可用容量：14.05TB
NAS可用容量：25.34TB
宿主机存储资源负载分布(台)：2/8/8(高/中/低）----------内存资源指标----------
资源总容量： 8941 GB
总利用率：38.87%
总已用容量： 3475 GB
总空闲容量： 5466 GB
健康阈值内总可用容量(<80%)： 3677 GB
宿主机内存资源负载分布(台)0/1/17(高/中/低)

python代码：

注：关于存储我只过滤了以"Data-"开头的存储，因为那个是我的数据存储，其他的都是系统存储可以忽略。

from pyVim import connect
from pyVmomi import vim
import ssl
import time
from datetime import datetime, timedelta# 脚本运行时间
starttime = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
start_time = time.time()
print("自动化巡检-执行时间：" + starttime)# 创建一个不验证SSL证书的上下文
context = ssl.create_default_context()
context.check_hostname = False
context.verify_mode = ssl.CERT_NONE# vCenter Server IP地址或主机名
vc_host = '192.168.1.1'
# vCenter登录凭据（用户名、密码）
username = 'test@vsphere.local'
password = 'qwe123456'
port = 443  # 默认vCenter端口def calculate_memory_metrics(host):summary = host.summarymemory_usage = summary.quickStats.overallMemoryUsagememory_capacity = summary.hardware.memorySize# 计算内存使用情况（以GB为单位）memory_usage_gb = int(memory_usage / 1024)memory_capacity_gb = int(memory_capacity / 1024 / 1024 / 1024)memory_free_gb = memory_capacity_gb - memory_usage_gbreturn memory_usage_gb, memory_capacity_gb, memory_free_gbdef get_storage_free_capacity(storage_info, storage_name):for storage in storage_info:if storage[0] == storage_name:return storage[1] - storage[2]return Nonedef process_storage_info(storage_info):print()print("----------存储资源指标----------")# 存储资源总容量total_capacity = sum(storage[1] for storage in storage_info)# 已用容量used_capacity = sum(storage[2] for storage in storage_info)# 空闲容量free_capacity = total_capacity - used_capacity# 利用率usage_percentage = (used_capacity / total_capacity) * 100# 主机资源分布high_usage = [storage for storage in storage_info if storage[3] > 80]medium_usage = [storage for storage in storage_info if 60 <= storage[3] <= 80]low_usage = [storage for storage in storage_info if storage[3] < 60]host_distribution = f"{len(high_usage)}/{len(medium_usage)}/{len(low_usage)}"# 可用容量available_capacity = sum((storage[1] * 0.8) - storage[2] for storage in storage_info if storage[3] < 80)free_capacity_data_25 = get_storage_free_capacity(storage_info, "Data-25")free_vmware = available_capacity - free_capacity_data_25# 构建输出字符串output = f"资源总容量：{total_capacity:.2f}TB\n总利用率：{usage_percentage:.2f}%\n"output += f"总已用容量：{used_capacity:.2f}TB\n总空闲容量：{free_capacity:.2f}TB\n"output += f"健康阈值内总可用容量(<80%)：{available_capacity:.2f}TB\n"output += f"VMware可用容量：{free_vmware:.2f}TB\nNAS可用容量：{free_capacity_data_25:.2f}TB\n"output += f"宿主机存储资源负载分布(台)：{host_distribution}(高/中/低）\n"print(output)def connect_vcenter():try:# 使用自定义的SSL上下文建立与vCenter服务器的连接service_instance = connect.SmartConnect(host=vc_host, user=username, pwd=password, port=port, sslContext=context)# 现在可以使用service_instance访问vCenter的内容print("Connected to vCenter")return service_instanceexcept Exception as e:print("Failed to connect to the vCenter server:", e)return Nonedef get_storage_info(service_instance):storages = []content = service_instance.RetrieveContent()# 获取所有数据中心datacenters = content.rootFolder.childEntityfor datacenter in datacenters:if isinstance(datacenter, vim.Datacenter):print("Found datacenter:", datacenter.name)# 获取数据中心下的所有存储datastores = datacenter.datastorefor datastore in datastores:if isinstance(datastore, vim.Datastore) and datastore.name.startswith("Data-"):# 获取存储容量信息summary = datastore.summarystorage_name = datastore.namestorage_capacity = summary.capacity / 1024 ** 4storage_used_capacity = (summary.capacity - summary.freeSpace) / 1024 ** 4storage_usage_percentage = ((summary.capacity - summary.freeSpace) / summary.capacity) * 100storages.append((storage_name, storage_capacity, storage_used_capacity, storage_usage_percentage))return storagesdef disconnect_vcenter(service_instance):# 断开与vCenter服务器的连接if service_instance:connect.Disconnect(service_instance)def main():# 连接vCenter服务器service_instance = connect_vcenter()if service_instance:# 处理存储指标storages = get_storage_info(service_instance)process_storage_info(storages)# 获取vCenter中所有宿主机content = service_instance.RetrieveContent()container = content.rootFolderview_type = [vim.HostSystem]recursive = Truecontainer_view = content.viewManager.CreateContainerView(container, view_type, recursive)total_memory = 0used_memory = 0free_memory = 0high_usage_hosts = 0medium_usage_hosts = 0low_usage_hosts = 0# 遍历所有宿主机for host in container_view.view:memory_usage, memory_capacity, memory_free = calculate_memory_metrics(host)# 累计总量、已用和空闲内存total_memory += memory_capacityused_memory += memory_usagefree_memory += memory_free# 根据内存使用率判断宿主机的负载usage_percentage = (memory_usage / memory_capacity) * 100if usage_percentage > 80:high_usage_hosts += 1elif 60 <= usage_percentage <= 80:medium_usage_hosts += 1else:low_usage_hosts += 1## 打印宿主机名称和内存使用情况# print("宿主机名称:", host.name)# print("已用内存:", memory_usage, "GB")# print("总内存容量:", memory_capacity, "GB")# print("剩余内存:", memory_free, "GB")# print()# 计算健康阈值内的总可用容量healthy_threshold_capacity = 0if total_memory > 0:for host in container_view.view:memory_usage, memory_capacity, memory_free = calculate_memory_metrics(host)usage_percentage = (memory_usage / memory_capacity) * 100if usage_percentage < 80:healthy_threshold_capacity += (memory_capacity * 0.8) - memory_usageelse:healthy_threshold_capacity += 0# 打印内存资源指标print("----------内存资源指标----------")print("资源总容量：", total_memory, "GB")print("总利用率：{:.2f}%".format((used_memory / total_memory) * 100))print("总已用容量：", used_memory, "GB")print("总空闲容量：", free_memory, "GB")print("健康阈值内总可用容量(<80%)：", int(healthy_threshold_capacity), "GB")print("宿主机内存资源负载分布(台){}/{}/{}(高/中/低)".format(high_usage_hosts, medium_usage_hosts, low_usage_hosts))# 断开与vCenter服务器的连接disconnect_vcenter(service_instance)if __name__ == "__main__":main()