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【Azure 环境】【Azure Developer】使用Python代码获取Azure 中的资源的Metrics定义及数据

2022-05-14 11:42 1461 查看

问题描述

使用Python SDK来获取Azure上的各种资源的Metrics的名称以及Metrics Data的示例

 

问题解答 

通过 azure-monitor-query ,可以创建一个 metrics client,调用 client.list_metric_definitions 来获取Metrics 定义,然后通过 client.query_resource 获取Metrics data。

关键函数为:

#第一步:定义 client
client = MetricsQueryClient(credential=credential, endpoint='https://management.chinacloudapi.cn',
audience='https://management.chinacloudapi.cn')

#第二步:获取metrics name
response = client.list_metric_definitions(metric_uri)

#第三步:获取 metrcis data
response = client.query_resource(
resource_uri=url,
metric_names=[name],
timespan=timedelta(hours=2),
granularity=timedelta(minutes=5),
aggregations=[MetricAggregationType.AVERAGE],
)

需要注意:

全部示例代码:

# import required package
from ast import Try
from warnings import catch_warnings
from datetime import timedelta
from azure.monitor.query import MetricsQueryClient, MetricAggregationType
from azure.identity import AzureCliCredential   ## pip install azure-identity

# prepare credential
credential = AzureCliCredential()

#init metric query client, endpoint need to target China Azure
client = MetricsQueryClient(credential=credential, endpoint='https://management.chinacloudapi.cn',
audience='https://management.chinacloudapi.cn')

def printMetricsDataByName(url, name):
##metrics_uri =metric_uri; ### os.environ.get('METRICS_RESOURCE_URI')
response = client.query_resource(
resource_uri=url,
metric_names=[name],
timespan=timedelta(hours=2),
granularity=timedelta(minutes=5),
aggregations=[MetricAggregationType.AVERAGE],
)

for metric in response.metrics:
print(metric.name + ' -- ' + metric.display_description)
for time_series_element in metric.timeseries:
for metric_value in time_series_element.data:
print('\tThe {}  at {} is {}'.format(
name,
metric_value.timestamp,
metric_value.average
))

print("###  ..Special Reource URL.. ....")
# specific resource uri
metric_uri = '/subscriptions/<your-subscriptions-id>/resourceGroups/<your-resource-group>/providers/Microsoft.Cache/Redis/<your-resource-name>'

# do query...
response = client.list_metric_definitions(metric_uri)

for item in response:
print(item.name + " ......  Metrics Data  ......")
try:
printMetricsDataByName(metric_uri,item.name)
except Exception as e:
print(e)

测试效果图:

附录一:例如在代码中获取Redis资源的Resource ID

from azure.mgmt.redis import RedisManagementClient  ## pip install azure-mgmt-redis
from azure.identity import AzureCliCredential   ## pip install azure-identity

# prepare credential
credential = AzureCliCredential()

redisClient = RedisManagementClient(credential, '<YOUR SUB>',
base_url='https://management.chinacloudapi.cn',
credential_scopes=[https://management.chinacloudapi.cn/.default])

for item in redisClient.redis.list_by_subscription():
print(item.id)

以上代码执行结果:

 

附录二:credential = AzureCliCredential() 为访问Azure资源时提供认证授权的方法,如果出现权限不够,或者是无法访问的情况,会出现类似如下的提示,需要根据消息提示来解决权限问题。

Code: AuthorizationFailed
Message: The client 'xxxxxxxxxxxxxxxxxxx@xxxxx.partner.onmschina.cn' with object id 'xxxxxxxx-xxxx-xxxx-xxxxx-xxxxxxxxxxxx' 
does not have authorization to perform action 'Microsoft.Insights/metricDefinitions/read'
over scope '/subscriptions/xxxxxxxx-xxxx-xxxx-xxxxx-xxxxxxxxxxxx/resourceGroups/xxxx-resource-group/providers/Microsoft.Cache/Redis/redis-xxxxxx/providers/Microsoft.Insights'
or the scope is invalid. If access was recently granted, please refresh your credentials.

 

参考资料

Azure Monitor Query client library Python samples: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/monitor/azure-monitor-query/samples

Azure China developer guide: https://docs.microsoft.com/en-us/azure/china/resources-developer-guide#check-endpoints-in-azuredevelop

 

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