如何使用AWS Boto3获取Cloudwatch指标统计信息? [英] How can I use AWS Boto3 to get Cloudwatch metric statistics?

问题描述

我正在研究Python 3脚本，该脚本旨在使用Boto3库从AWS CloudFront获取S3空间利用率统计信息.

I'm working on a Python 3 script designed to get S3 space utilization statistics from AWS CloudFront using the Boto3 library.

我从AWS CLI开始，发现使用以下命令可以得到我想要的东西:

I started with the AWS CLI and found I could get what I'm after with a command like this:

aws cloudwatch get-metric-statistics --metric-name BucketSizeBytes --namespace AWS/S3 --start-time 2017-03-06T00:00:00Z --end-time 2017-03-07T00:00:00Z --statistics Average --unit Bytes --region us-west-2 --dimensions Name=BucketName,Value=foo-bar Name=StorageType,Value=StandardStorage --period 86400 --output json

这将返回我期望的数据.现在，我想在Python 3/Boto3中做同样的事情.到目前为止，我的代码是:

This returns the data I would expect. Now I'd like to do the same thing in Python 3 / Boto3. My code thusfar is:

from datetime import datetime, timedelta
import boto3

seconds_in_one_day = 86400  # used for granularity

cloudwatch = boto3.client('cloudwatch')

response = cloudwatch.get_metric_statistics(
    Namespace='AWS/S3',
    Dimensions=[
        {
            'Name': 'BucketName',
            'Value': 'foo-bar'
        },
        {
            'Name': 'StorageType',
            'Value': 'StandardStorage'
        }
    ],
    MetricName='BucketSizeBytes',
    StartTime=datetime.now() - timedelta(days=7),
    EndTime=datetime.now(),
    Period=seconds_in_one_day,
    Statistics=[
        'Average'
    ],
    Unit='Bytes'
)

print(response)

运行此命令时，我得到一个有效的响应，但没有数据点(这是一个空数组).它们似乎是相同的，只是Python方法似乎没有在命令行需要的区域放置该地方.

When I run this, I get a valid response but no datapoints (it's an empty array). They seem to be identical except the Python method doesn't seem to have a place for the region, where the command line requires it.

我尝试的另一件事:我的代码正在计算最后日期的日期，而不是在命令行中对其进行硬编码的日期.我确实尝试对日期进行硬编码，只是为了查看是否可以取回数据，结果是相同的.

One more thing I tried: my code is computing the dates for the last date versus the command line where they are hard coded. I did try hard coding the date just to see if I would get data back, and the result was the same.

所以我的问题是这些

我在Boto/Python中使用的方法是否等同于命令行? 假设它们是，我会丢失什么?

Is the method I'm using in Boto / Python equivalent to the command line? Assuming they are, what could I be missing?

推荐答案

我认为错误是您的命令cloudwatch = boto3.client('cloudwatch').默认区域为east-1.因此，您可以使用以下内容:

I think the error is your command cloudwatch = boto3.client('cloudwatch'). The default region is east-1. So you could use something like this:

from datetime import datetime, timedelta
import boto3

def credentials_AWS (account):
  
   if (account == 'account1'):
       aws_access_key_id = "key id east"
       aws_secret_access_key = 'east secret_access_key'
       region_name = 'us-east-1'
   elif (account == 'account2'):
       aws_access_key_id = "key id west"
       aws_secret_access_key = 'west secret_access_key'
       region_name = 'us-west-2'
    
   return aws_access_key_id, aws_secret_access_key, region_name
    

def connect_service_aws (service, aws_access_key_id, aws_secret_access_key, region_name):


     aws_connected = boto3.client (service,
                                  aws_access_key_id = aws_access_key_id,
                                  aws_secret_access_key = aws_secret_access_key,
                                  region_name = region_name)
             
     return aws_connected


def get_metrics(account):

  seconds_in_one_day = 86400  # used for granularity

  #cloudwatch = boto3.client('cloudwatch')

  aws_access_key_id, aws_secret_access_key, region_name = credentials_AWS (account)
    
   
   cloudwatch = connect_service_aws ('cloudwatch', aws_access_key_id, 
                 aws_secret_access_key, region_name)

  response = cloudwatch.get_metric_statistics(
    Namespace='AWS/S3',
    Dimensions=[
        {
            'Name': 'BucketName',
            'Value': 'foo-bar'
        },
        {
            'Name': 'StorageType',
            'Value': 'StandardStorage'
        }
    ],
    MetricName='BucketSizeBytes',
    StartTime=datetime.now() - timedelta(days=7),
    EndTime=datetime.now(),
    Period=seconds_in_one_day,
    Statistics=[
        'Average'
    ],
    Unit='Bytes'
  )

  print(response)

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