How to use get_metric_statistics method in localstack

Best Python code snippet using localstack_python

ks3monitor.py

Source:ks3monitor.py Github

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...11 # 俄罗斯region eu-east-112 #GetMetricStatistics13 client = s.create_client("monitor", "cn-beijing-6", use_ssl=True)14 #获取一天的标准存储量总量15 m=client.get_metric_statistics(InstanceID="test-wn",Namespace="KS3",MetricName="ks3.bucket.capacity.total.sd",StartTime="2018-07-03T00:00:05Z",EndTime="2018-07-04T00:00:05Z",Period="86400",Aggregate="Max")16 print json.dumps(m,sort_keys=True,indent=4)17'''18 #获取一天的标准存储量增量19 m=client.get_metric_statistics(InstanceID="test-wn",Namespace="ks3",MetricName="ks3.bucket.capacity.add.sd",StartTime="2018-03-18T00:00:00Z",EndTime="2018-03-19T00:00:00Z",Period="86400",Aggregate="Max")20 print json.dumps(m,sort_keys=True,indent=4)21 # 获取一天的标准存储量删除量22 m = client.get_metric_statistics(InstanceID="test-wn", Namespace="ks3", MetricName="ks3.bucket.capacity.del.sd",StartTime="2018-03-18T00:00:00Z",EndTime="2018-03-19T00:00:00Z", Period="86400",Aggregate="Max")23 print json.dumps(m, sort_keys=True, indent=4)24 # 获取一天的低频存储量总量25 m = client.get_metric_statistics(InstanceID="test-wn", Namespace="ks3", MetricName="ks3.bucket.capacity.total.ia",StartTime="2018-03-18T00:00:00Z",EndTime="2018-03-19T00:00:00Z", Period="86400",Aggregate="Max")26 print json.dumps(m, sort_keys=True, indent=4)27 # 获取一天的低频存储量增量28 m = client.get_metric_statistics(InstanceID="test-wn", Namespace="ks3", MetricName="ks3.bucket.capacity.add.ia",StartTime="2018-03-18T00:00:00Z",EndTime="2018-03-19T00:00:00Z", Period="86400",Aggregate="Max")29 print json.dumps(m, sort_keys=True, indent=4)30 # 获取一天的低频存储量增量31 m = client.get_metric_statistics(InstanceID="test-wn", Namespace="ks3", MetricName="ks3.bucket.capacity.del.ia",StartTime="2018-03-18T00:00:00Z", EndTime="2018-03-19T00:00:00Z", Period="86400",Aggregate="Max")32 print json.dumps(m, sort_keys=True, indent=4)33 # 获取一天的标准存储的下载流量34 m = client.get_metric_statistics(InstanceID="test-wn", Namespace="ks3", MetricName="ks3.bucket.flow.down.sd",StartTime="2018-03-18T00:00:00Z", EndTime="2018-03-19T00:00:00Z", Period="86400",Aggregate="Max")35 print json.dumps(m, sort_keys=True, indent=4)36 # 获取一天的低频存储的下载流量37 m = client.get_metric_statistics(InstanceID="test-wn", Namespace="ks3", MetricName="ks3.bucket.flow.down.ia",StartTime="2018-03-18T00:00:00Z", EndTime="2018-03-19T00:00:00Z", Period="86400",Aggregate="Max")38 print json.dumps(m, sort_keys=True, indent=4)39 # 获取一天的标准存储的get请求数40 m = client.get_metric_statistics(InstanceID="test-wn", Namespace="ks3", MetricName="ks3.bucket.getcount.sd",StartTime="2018-03-18T00:00:00Z", EndTime="2018-03-19T00:00:00Z", Period="86400",Aggregate="Max")41 print json.dumps(m, sort_keys=True, indent=4)42 # 获取一天的标准存储的put请求数43 m = client.get_metric_statistics(InstanceID="test-wn", Namespace="ks3", MetricName="ks3.bucket.putcount.sd",StartTime="2018-03-18T00:00:00Z", EndTime="2018-03-19T00:00:00Z", Period="86400",Aggregate="Max")44 print json.dumps(m, sort_keys=True, indent=4)45 # 获取一天的低频存储的get请求数46 m = client.get_metric_statistics(InstanceID="test-wn", Namespace="ks3", MetricName="ks3.bucket.getcount.ia",StartTime="2018-03-18T00:00:00Z", EndTime="2018-03-19T00:00:00Z", Period="86400",Aggregate="Max")47 print json.dumps(m, sort_keys=True, indent=4)48 # 获取一天的低频存储的put请求数49 m = client.get_metric_statistics(InstanceID="test-wn", Namespace="ks3", MetricName="ks3.bucket.putcount.ia",StartTime="2018-03-18T00:00:00Z", EndTime="2018-03-19T00:00:00Z", Period="86400",Aggregate="Max")50 print json.dumps(m, sort_keys=True, indent=4)51 # 获取一天的低频存储的数据取回量52 m = client.get_metric_statistics(InstanceID="test-wn", Namespace="ks3", MetricName="ks3.bucket.putcount.ia",StartTime="2018-03-18T00:00:00Z", EndTime="2018-03-19T00:00:00Z", Period="86400",Aggregate="Max")53 print json.dumps(m, sort_keys=True, indent=4)...

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mylambdafunc.py

Source:mylambdafunc.py Github

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...8 s3 = boto3.resource('s3')9 bucket = s3.Bucket('mybucketname')10 key = 'mymetricsfilename.csv'11 ti = datetime.datetime.now()12 c1= cw.get_metric_statistics(13 Period=300,14 StartTime=datetime.datetime.utcnow() - datetime.timedelta(seconds=600),15 EndTime=datetime.datetime.utcnow(),16 MetricName='CPUUtilization',17 Namespace='AWS/EC2',18 Statistics=['Maximum'],19 Dimensions=[{'Name':'InstanceId', 'Value':'i-00457d74c0e7fdd8a'}]20 )21 c2= cw.get_metric_statistics(22 Period=300,23 StartTime=datetime.datetime.utcnow() - datetime.timedelta(seconds=600),24 EndTime=datetime.datetime.utcnow(),25 MetricName='DiskReadOps',26 Namespace='AWS/EC2',27 Statistics=['Maximum'],28 Dimensions=[{'Name':'InstanceId', 'Value':'i-00457d74c0e7fdd8a'}]29 )30 c3= cw.get_metric_statistics(31 Period=300,32 StartTime=datetime.datetime.utcnow() - datetime.timedelta(seconds=600),33 EndTime=datetime.datetime.utcnow(),34 MetricName='DiskWriteOps',35 Namespace='AWS/EC2',36 Statistics=['Maximum'],37 Dimensions=[{'Name':'InstanceId', 'Value':'i-00457d74c0e7fdd8a'}]38 )39 c4= cw.get_metric_statistics(40 Period=300,41 StartTime=datetime.datetime.utcnow() - datetime.timedelta(seconds=600),42 EndTime=datetime.datetime.utcnow(),43 MetricName='NetworkIn',44 Namespace='AWS/EC2',45 Statistics=['Maximum'],46 Dimensions=[{'Name':'InstanceId', 'Value':'i-00457d74c0e7fdd8a'}]47 )48 c5= cw.get_metric_statistics(49 Period=300,50 StartTime=datetime.datetime.utcnow() - datetime.timedelta(seconds=600),51 EndTime=datetime.datetime.utcnow(),52 MetricName='NetworkOut',53 Namespace='AWS/EC2',54 Statistics=['Maximum'],55 Dimensions=[{'Name':'InstanceId', 'Value':'i-00457d74c0e7fdd8a'}]56 ) 57 c6= cw.get_metric_statistics(58 Period=300,59 StartTime=datetime.datetime.utcnow() - datetime.timedelta(seconds=600),60 EndTime=datetime.datetime.utcnow(),61 MetricName='CPUCreditUsage',62 Namespace='AWS/EC2',63 Statistics=['Maximum'],64 Dimensions=[{'Name':'InstanceId', 'Value':'i-00457d74c0e7fdd8a'}]65 ) 66 c7= cw.get_metric_statistics(67 Period=300,68 StartTime=datetime.datetime.utcnow() - datetime.timedelta(seconds=600),69 EndTime=datetime.datetime.utcnow(),70 MetricName='CPUCreditBalance',71 Namespace='AWS/EC2',72 Statistics=['Maximum'],73 Dimensions=[{'Name':'InstanceId', 'Value':'i-00457d74c0e7fdd8a'}]74 ) 75 c=[c1,c2,c3,c4,c5,c6,c7]76 collect_all_regions=[]77 for each_region in ec2_cli.describe_regions()['Regions']: 78 collect_all_regions.append(each_region['RegionName'])79 print(collect_all_regions)80 ...

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app.py

Source:app.py Github

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...9# Line の設定10LINE_POST_URL = os.environ['LINE_POST_URL']11LINE_TOKEN = os.environ['LINE_TOKEN']12client = boto3.client('cloudwatch', region_name='us-east-1')13get_metric_statistics = client.get_metric_statistics(14 Namespace='AWS/Billing',15 MetricName='EstimatedCharges',16 Dimensions=[17 {18 'Name': 'Currency',19 'Value': 'USD'20 }21 ],22 StartTime=datetime.today() - timedelta(days=1),23 EndTime=datetime.today(),24 Period=86400,25 Statistics=['Maximum']26)27def build_message(cost, date):...

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