我们可以使用Boto3创建IAM角色和策略，以管理对AWS资源的访问权限。1defcreate_iam_role(role_name, policy_arn): 2 iam = boto3.client('iam') 3 role = iam.create_role( 4 RoleName=role_name, 5 AssumeRolePolicyDocument='{"Version": "2012-10-17","Statement": [{"Effect": "Allow...
e)创建 Lambda 函数对 IAM 用户的权限进行限制 在项目中有iam_utils.py用于根据传入的 IAM 用户的 arn,并移除对应的权限,下面代码假定用户的 Bedrock 权限策略名为“BedrockAccess”。 import json import boto3 def remove_bedrock_policies(identity): iam = boto3.client('iam') ...
importboto3deflambda_handler(event,context):# Retrieve the list of existing bucketss3=boto3.client('s3')response=s3.list_buckets()# Output the bucket namesprint('Existing buckets:')forbucketinresponse['Buckets']:print(f' {bucket["Name"]}')return"There are totally {} buckets.".format(len(...
import psycopg2 import sys import boto3 import os ENDPOINT="postgresmydb.123456789012.us-east-1.rds.amazonaws.com" PORT="5432" USER="jane_doe" REGION="us-east-1" DBNAME="mydb" #gets the credentials from .aws/credentials session = boto3.Session(profile_name='RDSCreds') client = ...
/usr/bin/env pythonimportboto3rds = boto3.client('rds')try:response = rds.create_db_instance(DBInstanceIdentifier='dbserver',MasterUsername='dbadmin',MasterUserPassword='abcdefg123456789',DBInstanceClass='db.t2.micro',Engine='mariadb',AllocatedStorage=5) printresponseexceptExceptionaserror: ...
#IamInstanceProfile='my-instance-profile', # 实例角色的名称 EbsOptimized=False, # 是否启用 EBS 优化 AssociatePublicIpAddress=True, # 是否分配公有 IP 地址 ) 运行完之后在运行创建AutoScaling的代码 import boto3 autoscaling = boto3.client('autoscaling') ...
app=Flask(__name__)region='cn-north-1'tokenDuration=3600cognito_client=boto3.client('cognito-identity',region_name=region,aws_access_key_id=access_key_id,aws_secret_access_key=secret_access_key)#cognito_client = boto3.client('cognito-identity',region_name=region)@app.route('/login/',meth...
3-它是用boto3而不是旧的boto编写的。 现在,我们已经排除了这一点,代码: 代码语言:javascript 复制 #! /bin/python3 import boto3 USERNAME = '<The desired username>' policy_names = [] def get_groups_by_username(username): client = boto3.client('iam') groups_json = client.list_groups_for...
pip install boto3 --user pip install AWSIoTPythonSDK --user pip install flask --user pip install paho-mqtt --user 然后获取Account Id,执行命令account_id=`aws sts get-caller-identity | jq .Account|sed 's/"//g'` 获取Account的IoT Endpoint前缀,执行命令endpoint_prefix=`aws iot describe-endpo...
import boto3#Initialize clientec2=boto3.client('ec2')rootVolumeId=events['rootVolumeId']snapshotsQuery=ec2.describe_snapshots(Filters=[{"Name":"volume-id","Values":[rootVolumeId] }])ifnotsnapshotsQuery['Snapshots']:noSnapshotFoundString="NoSnapshotFound"return{'noSnapshotFound':noSnapshotFound...