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
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。
#第一步:定义 clientclient = MetricsQueryClient(credential=credential, endpoint='https://management.chinacloudapi.cn',audience='https://management.chinacloudapi.cn')#第二步:获取metrics nameresponse = client.list_metric_definitions(metric_uri)#第三步:获取 metrcis dataresponse = client.query_resource( resource_uri=url, metric_names=[name], timespan=timedelta(hours=2), granularity=timedelta(minutes=5), aggregations=[MetricAggregationType.AVERAGE], )
需要注意:
# import required packagefrom ast import Tryfrom warnings import catch_warningsfrom datetime import timedeltafrom azure.monitor.query import MetricsQueryClient, MetricAggregationTypefrom azure.identity import AzureCliCredential ## pip install azure-identity# prepare credentialcredential = AzureCliCredential()#init metric query client, endpoint need to target China Azureclient = 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 urimetric_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)

from azure.mgmt.redis import RedisManagementClient ## pip install azure-mgmt-redisfrom azure.identity import AzureCliCredential ## pip install azure-identity# prepare credentialcredential = 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)

Code: AuthorizationFailedMessage: 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.
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
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!