如何用Python在Azure环境中获取Azure Developer的Metrics定义及数据？

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问题描述：使用Python SDK从Azure获取各种资源的Metrics名称以及Metrics Data的示例。

解决方案：通过azure-monitor-query，可以创建一个metrics client，并调用client.list_metric_definitions来获取Metrics列表。

pythonfrom azure.monitor.query import MonitorQueryClient

创建metrics clientclient=MonitorQueryClient()

获取Metrics列表metrics=client.list_metric_definitions()

打印Metrics名称和示例数据for metric in metrics: print(fMetric Name: {metric.name}, Example Data: {metric.data})

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='management.chinacloudapi.cn', audience='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：

• endpoint 和 audience 需要根据代码的使用Azure环境不同而改变，以上为中国区Azure的Endpoint。与Global Azure 终结点对比文档见：docs.microsoft.com/en-us/azure/china/resources-developer-guide#check-endpoints-in-azuredevelop
• metrics_url 可以在Azure 门户中的“属性”页面获取，当然也可以通过Python对于资源的SDK进行获取。示例代码见附录一.

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='management.chinacloudapi.cn', audience='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='management.chinacloudapi.cn', credential_scopes=[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:github.com/Azure/azure-sdk-for-python/tree/main/sdk/monitor/azure-monitor-query/samples

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

当在复杂的环境中面临问题，格物之道需：浊而静之徐清，安以动之徐生。 云中，恰是如此!