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AWS

aws lambda脚本获取EC2 AMI/Snapshot相关信息(附CloudFormation供参考)

枕头下放双臭袜子
2020-12-02 / 0 评论 / 0 点赞 / 502 阅读 / 0 字 / 正在检测是否收录...
1、lambda脚本获取EC2 AMI相关信息
① lambda脚本

脚本获取到EC2 的所有AMI相关信息,根据时间筛选3个月前创建的写入到CSV文件,并保存到特定的S3存储桶下,因为AMI有很多标签,在写入到CSV之前要判断一下标签的KEY值,以便将value写入到csv相应位置

# v1版本全部已注释
# import boto3
# import csv
# import io
#
#
# def getEc2AMI():
#     ec2_client = boto3.client('ec2')
#     images_list = ec2_client.describe_images(
#         Owners=[
#             '936669166135'
#         ]
#     )
#     return images_list['Images']
#
#
# def writeCsvS3():
#     s3_client = boto3.client('s3')
#     csvio = io.StringIO()
#     writer = csv.writer(csvio)
#     writer.writerow([
#         'ImageId',
#         'Description',
#         'CreationDate',
#         'Name',
#         'appenv',
#         'bgrp',
#         'cmdbid',
#         'sapnum',
#         'sched'
#     ])
#     images_list = getEc2AMI()
#     for n in range(len(images_list)):
#         ImageId = images_list[n]['ImageId']
#         Description = images_list[n]['Description']
#         CreationDate = images_list[n]['CreationDate']
#         Name = ''
#         appenv = ''
#         bgrp = ''
#         cmdbid = ''
#         sapnum = ''
#         sched = ''
#         # print(images_list[n])
#
#         # if images_list[n].get('Tags'):
#         #     print('yes')
#
#         if images_list[n].get('Tags'):
#             for tagList in images_list[n]['Tags']:
#                 if tagList['Key'] == 'Name':
#                     Name = tagList['Value']
#                 elif tagList['Key'] == 'appenv':
#                     appenv = tagList['Value']
#                 elif tagList['Key'] == 'bgrp':
#                     bgrp = tagList['Value']
#                 elif tagList['Key'] == 'cmdbid':
#                     cmdbid = tagList['Value']
#                 elif tagList['Key'] == 'sapnum':
#                     sapnum = tagList['Value']
#                 elif tagList['Key'] == 'sched':
#                     sched = tagList['Value']
#         writer.writerow([
#             ImageId,
#             Description,
#             CreationDate,
#             Name,
#             appenv,
#             bgrp,
#             cmdbid,
#             sapnum,
#             sched
#         ])
#     s3_client.put_object(Body=csvio.getvalue(), ContentType='application/vnd.ms-excel', Bucket='zhijiabinfcchinatest',
#                          Key='GetEc2AmiInfo/ec2_ami_info.csv')
#
#
# def lambda_handler(event, context):
#     writeCsvS3()

# v2版本新增时间筛选
# 引入时间模块,根据response字段与datetime的3个月前的时间进行对比,3个月之前的就写入csv
import boto3
import csv
import io
import datetime
from datetime import datetime as dt


def get_date():
    before_days = 90
    past_date = (datetime.datetime.today() - datetime.timedelta(days=int(before_days))).strftime("%Y-%m-%d")
    now_time = datetime.datetime.today().strftime("%Y-%m-%d")
    return past_date


def getEc2AMI():
    ec2_client = boto3.client('ec2')
    images_list = ec2_client.describe_images(
        Owners=[
            'AWS账号ID'
        ]
    )
    return images_list['Images']


def writeCsvS3():
    s3_client = boto3.client('s3')
    csvio = io.StringIO()
    writer = csv.writer(csvio)
    writer.writerow([
        'ImageId',
        'Description',
        'CreationDate',
        'Name',
        'appenv',
        'bgrp',
        'cmdbid',
        'sapnum',
        'sched'
    ])
    images_list = getEc2AMI()
    past_date = dt.strptime(get_date(), "%Y-%m-%d")
    for n in range(len(images_list)):
        # 这里使用dt模块的strptime()方法将时间格式化,这样可以把字符串格式的时间进行比较,dt.strptime(时间,format),其中%Y表示四位的年份
        CreationDate = dt.strptime(str(images_list[n]['CreationDate']).split('T')[0], "%Y-%m-%d")
        if CreationDate < past_date:
            ImageId = images_list[n]['ImageId']
            Description = images_list[n]['Description']
            CreationDate = images_list[n]['CreationDate']
            Name = ''
            appenv = ''
            bgrp = ''
            cmdbid = ''
            sapnum = ''
            sched = ''
            if images_list[n].get('Tags'):
                for tagList in images_list[n]['Tags']:
                    if tagList['Key'] == 'Name':
                        Name = tagList['Value']
                    elif tagList['Key'] == 'appenv':
                        appenv = tagList['Value']
                    elif tagList['Key'] == 'bgrp':
                        bgrp = tagList['Value']
                    elif tagList['Key'] == 'cmdbid':
                        cmdbid = tagList['Value']
                    elif tagList['Key'] == 'sapnum':
                        sapnum = tagList['Value']
                    elif tagList['Key'] == 'sched':
                        sched = tagList['Value']
            writer.writerow([
                ImageId,
                Description,
                CreationDate,
                Name,
                appenv,
                bgrp,
                cmdbid,
                sapnum,
                sched
            ])

    s3_key = 'lambda/List_ami/' + str(datetime.datetime.today()).split('-')[0] + '-' + \
         str(datetime.datetime.today()).split('-')[1] + '-' + 'fcchina_amilist.csv'
    s3_client.put_object(Body=csvio.getvalue(), ContentType='application/vnd.ms-excel', Bucket='fcchinajms',
                     Key=s3_key)


def lambda_handler(event, context):
    writeCsvS3()

AMI脚本部分测试用例可见:

get_ec2_ami_example.jpg

② 角色权限
{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "VisualEditor0",
            "Effect": "Allow",
            "Action": [
                "s3:PutObject",
                "logs:CreateLogStream",
                "logs:DescribeLogGroups",
                "logs:DescribeLogStreams",
                "ec2:DescribeImages",
                "logs:CreateLogGroup",
                "logs:PutLogEvents"
            ],
            "Resource": "*"
        }
    ]
}

2、lambda脚本获取EC2 Snapshot相关信息

脚本获取到EC2 的所有Snapshot相关信息,根据时间筛选3个月前创建的写入到CSV文件,并保存到特定的S3存储桶下

import boto3
import csv
import io
import datetime
from datetime import datetime as dt

def get_date():
    before_days = 90
    past_date = (datetime.datetime.today() - datetime.timedelta(days=int(before_days))).strftime("%Y-%m-%d")
    now_time = datetime.datetime.today().strftime("%Y-%m-%d")
    return past_date

def getEc2InstanceSnapshot():
    ec2_client = boto3.client('ec2')
    snapshots_list = ec2_client.describe_snapshots(
        OwnerIds=[
            'AWS账号ID'
        ]
    )
    return snapshots_list['Snapshots']

def writeCsvS3():
    s3_client = boto3.client('s3')
    csvio = io.StringIO()
    writer = csv.writer(csvio)
    writer.writerow([
        'snapshot_id',
        'VolumeSize',
        'StartTime',
        'Description'
        ])
    snapshots_list = getEc2InstanceSnapshot()
    past_date = dt.strptime(get_date(), "%Y-%m-%d")
    for n in range(len(snapshots_list)):
        CreationDate = dt.strptime(str(snapshots_list[n]['StartTime']).split(' ')[0],"%Y-%m-%d")
        if CreationDate < past_date:
            snapshot_id = snapshots_list[n]['SnapshotId']
            VolumeSize = snapshots_list[n]['VolumeSize']
            StartTime = snapshots_list[n]['StartTime']
            Description = snapshots_list[n]['Description']
            writer.writerow([
                snapshot_id,
                VolumeSize,
                StartTime,
                Description
            ])
    s3_key = 'lambda/List_snapshot/' + str(datetime.datetime.today()).split('-')[0] + '-' + \
             str(datetime.datetime.today()).split('-')[1] + '-' + 'fcchina_snapshotlist.csv'
    s3_client.put_object(Body=csvio.getvalue(),ContentType='application/vnd.ms-excel',Bucket='fcchinajms',
                         Key=s3_key)

def lambda_handler(event, context):
    writeCsvS3()

Snapshot脚本部分测试用例可见:
get_ec2_snapshot_info_example.jpg

② 角色权限
{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "VisualEditor0",
            "Effect": "Allow",
            "Action": [
                "s3:PutObject",
                "logs:CreateLogStream",
                "logs:DescribeLogGroups",
                "logs:DescribeLogStreams",
                "ec2:DescribeSnapshotAttribute",
                "ec2:DescribeSnapshots",
                "logs:CreateLogGroup",
                "logs:PutLogEvents"
            ],
            "Resource": "*"
        }
    ]
}

3、CFN参考

CFN中角色Role是现有的,相关角色权限已添加,Layer层也是已添加的。

AWSTemplateFormatVersion: 2010-09-09
Description: fcchina ops list_ebs
Resources:
  listebslambdaLayerVersion:
    Type: AWS::Lambda::LayerVersion
    Properties:
        CompatibleRuntimes:
            - python3.7
        Content:
            S3Bucket: fcchinajms
            S3Key: lambda/List_ebs/fcchina_python3
        Description: fcchina-python3
        LayerName: fcchina-python3
  listebslambdafunction:
    Type: AWS::Lambda::Function
    Properties:
      Code:
          S3Bucket: fcchinajms
          S3Key: lambda/List_ebs/list_ebs_V1_04.zip
      Description: fcchina_list_ebs_V1_04
      FunctionName: fcchina_list_ebs_V1_04
      Handler: list_ebs_V1_04.lambda_handler
      Layers:
          - !Ref listebslambdaLayerVersion
      MemorySize: 128
      Role: arn:aws-cn:iam::515743265704:role/l2c-rsrc-inspprdrol
      Runtime: python3.7
      Tags:
        - Key: Name
          Value: fcchina_list_ebs
        - Key: appenv
          Value: fcchina-prd
        - Key: bgrp
          Value: fcchina
        - Key: vendor
          Value: Ben
        - Key: application
          Value: fcchina
      Timeout: 900
  listebslambdaScheduledRule:
    Type: AWS::Events::Rule
    Properties:
      Name: fcchinaebslist
      Description: AWS Cloudwatch Events Schedule Rule
      ScheduleExpression: "cron(0 05 25 * ? *)"
      State: "ENABLED"
      Targets:
        - Arn:
            Fn::GetAtt:
              - listebslambdafunction
              - Arn
          Id: RI_monitor
  listebsPermissionForEventsToInvokeLambda:
    Type: AWS::Lambda::Permission
    Properties:
      FunctionName: !GetAtt
          - listebslambdafunction
          - Arn
      Action: lambda:InvokeFunction
      Principal: events.amazonaws.com
      SourceArn: !GetAtt
          - listebslambdaScheduledRule
          - Arn
  deleteebslambdafunction:
    Type: AWS::Lambda::Function
    Properties:
      Code:
          S3Bucket: fcchinajms
          S3Key: lambda/List_ebs/del_ebs_V1_03.zip
      Description: fcchina_delete_ebs_V1_03
      FunctionName: fcchina_delete_ebs_V1_03
      Handler: del_ebs_V1_03.lambda_handler
      Layers:
          - !Ref listebslambdaLayerVersion
      MemorySize: 128
      Role: arn:aws-cn:iam::515743265704:role/l2cmgnt01prdrol
      Runtime: python3.7
      Tags:
        - Key: Name
          Value: fcchina_delete_ebs
        - Key: appenv
          Value: fcchina-prd
        - Key: bgrp
          Value: fcchina
        - Key: vendor
          Value: Ben
        - Key: application
          Value: fcchina
      Timeout: 900
  listamilambdafunctio:
    Type: AWS::Lambda::Function
    Properties:
      Code:
          S3Bucket: fcchinajms
          S3Key: lambda/List_ami/describe_ec2_ami_V2.zip
      Description: fcchina_describe_ec2_ami_V2
      FunctionName: fcchina_describe_ec2_ami_V2
      Handler: describe_ec2_ami_V2.lambda_handler
      Layers:
          - !Ref listebslambdaLayerVersion
      MemorySize: 128
      Role: arn:aws-cn:iam::515743265704:role/l2c-rsrc-inspprdrol
      Runtime: python3.7
      Tags:
        - Key: Name
          Value: fcchina_describe_ec2_ami
        - Key: appenv
          Value: fcchina-prd
        - Key: bgrp
          Value: fcchina
        - Key: vendor
          Value: Ben
        - Key: application
          Value: fcchina
      Timeout: 900
  listamilambdaScheduledRule:
    Type: AWS::Events::Rule
    Properties:
      Name: fcchinaec2amidescribe
      Description: AWS Cloudwatch Events Schedule Rule
      ScheduleExpression: "cron(0 05 25 * ? *)"
      State: "ENABLED"
      Targets:
        - Arn:
            Fn::GetAtt:
              - listamilambdafunctio
              - Arn
          Id: RI_monitor
  listamiPermissionForEventsToInvokeLambda:
    Type: AWS::Lambda::Permission
    Properties:
      FunctionName: !GetAtt
          - listamilambdafunctio
          - Arn
      Action: lambda:InvokeFunction
      Principal: events.amazonaws.com
      SourceArn: !GetAtt
          - listamilambdaScheduledRule
          - Arn
  listsnapshotlambdafunction:
    Type: AWS::Lambda::Function
    Properties:
      Code:
          S3Bucket: fcchinajms
          S3Key: lambda/List_snapshot/describe_ec2_snapshot_V2.zip
      Description: fcchina_describe_ec2_snapshot_V2
      FunctionName: fcchina_describe_ec2_snapshot_V2
      Handler: describe_ec2_snapshot_V2.lambda_handler
      Layers:
          - !Ref listebslambdaLayerVersion
      MemorySize: 128
      Role: arn:aws-cn:iam::515743265704:role/l2c-rsrc-inspprdrol
      Runtime: python3.7
      Tags:
        - Key: Name
          Value: fcchina_describe_ec2_snapshot
        - Key: appenv
          Value: fcchina-prd
        - Key: bgrp
          Value: fcchina
        - Key: vendor
          Value: Ben
        - Key: application
          Value: fcchina
      Timeout: 900
  listsnapshotlambdaScheduledRule:
    Type: AWS::Events::Rule
    Properties:
      Name: fcchinaec2snapshotdescribe
      Description: AWS Cloudwatch Events Schedule Rule
      ScheduleExpression: "cron(0 05 25 * ? *)"
      State: "ENABLED"
      Targets:
        - Arn:
            Fn::GetAtt:
              - listsnapshotlambdafunction
              - Arn
          Id: RI_monitor
  listsnapshotPermissionForEventsToInvokeLambda:
    Type: AWS::Lambda::Permission
    Properties:
      FunctionName: !GetAtt
          - listsnapshotlambdafunction
          - Arn
      Action: lambda:InvokeFunction
      Principal: events.amazonaws.com
      SourceArn: !GetAtt
          - listsnapshotlambdaScheduledRule
          - Arn
  describerdssnapshotlambdafunction:
    Type: AWS::Lambda::Function
    Properties:
      Code:
          S3Bucket: fcchinajms
          S3Key: lambda/List_snapshot-RDS/describe_db_snapshots_V1.zip
      Description: describe_db_snapshots_V1
      FunctionName: describe_db_snapshots_V1
      Handler: describe_db_snapshots_V1.lambda_handler
      Layers:
        - !Ref listebslambdaLayerVersion
      MemorySize: 128
      Role: arn:aws-cn:iam::515743265704:role/l2c-rsrc-inspprdrol
      Runtime: python3.6
      Tags:
        - Key: Name
          Value: fcchina_describe_db_snapshots_V1
        - Key: appenv
          Value: fcchina-prd
        - Key: bgrp
          Value: fcchina
        - Key: vendor
          Value: Ben
        - Key: application
          Value: fcchina
  describerdssnapshotlambdaScheduleRule:
    Type: AWS::Events::Rule
    Properties:
      Name: fcchinardssnapshotdescribe
      Description: AWS Cloudwatch Events Schedule Rule
      ScheduleExpression: "cron(0 05 25 * ? *)"
      State: "ENABLED"
      Targets:
        - Arn:
            Fn::GetAtt:
              - describerdssnapshotlambdafunction
              - Arn
          Id: RI_monitor
  describerdssnapshotPermissionForEventsToInvokeLambda:
    Type: AWS::Lambda::Permission
    Properties:
      FunctionName: !GetAtt
          - describerdssnapshotlambdafunction
          - Arn
      Action: lambda:InvokeFunction
      Principal: events.amazonaws.com
      SourceArn: !GetAtt
          - describerdssnapshotlambdafunction
          - Arn

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