sagemaker_client = boto3.client('sagemaker', region=<YOUR_REGION>) # Replace with your IAM Role ARN sagemaker_role_arn = "arn:aws:iam::<account>:role/*" # Replace string with the name of your already created S3 bucket. bucket = 'amzn-s3-demo-bucket-edge-manager' # Specify a name ...
sm_client = boto3.client('sagemaker') session = Session(sagemaker_client=sm_client) session.get_caller_identity_arn() Configure the details of your private hub such as the internal hub name, UI display name, and UI hub description. Note If you do not specify an Amazon S3 bucket name whe...
AWS Glue is a fully managed ETL service that makes it easy to prepare and load data for analysis. We create DAGs that orchestrate AWS Glue jobs for extracting data from various sources, transforming it, and loading it into our data warehouse. #Create boto3 client for Glue...
设置AWS S3凭证,包括Access Key和Secret Access Key。 创建Python脚本: 导入必要的库和模块:import os, boto3, codecs 使用xhtml2pdf将HTML或XHTML文件转换为PDF格式:from xhtml2pdf import pisa 创建一个函数,接受HTML文件路径作为参数并返回生成的PDF文件的路径: 创建一个函数,接受HTML文件路径作为参数并返回生成...
We use the SageMaker Boto3 client to create the model using thecreate_modelAPI. We pass the container definition to the create model API along withModelNameandExecutionRoleArn: create_model_response=sm_client.create_model(ModelName=sm_model_name,Executio...
问如何以编程方式将参数传递给使用boto3 create_job的胶接作业EN我正在使用boto3创建作业脚本创建胶水作业...
<StackScriptsUseMetadata /> This guide walks you through creating a StackScript through <<CLOUD_PORTAL>>. Open the Create StackScript Form in <<CLOUD_PORTAL>>Set the LabelAdd a DescriptionSelect Compatible Distribution Image
(size))# ConfigS3_ENDPOINT_URL="http://10.10.0.4:9000/"S3_BUCKET_NAME="mybucket"S3_ACCESS_KEY_ID="admin"S3_SECRET_ACCESS_KEY="12345678"S3_REGION_NAME="us-east-1"# Clients3_client=client('s3',endpoint_url=S3_ENDPOINT_URL,aws_access_key_id=str(S3_ACCESS_KEY_ID),aws_secret_access...
# Initialize AWS Identity Store client identity_store_client = boto3.client('identitystore') # Load users from JSON file with open('users.json', 'r') as file: data = json.load(file) users = data['Users'] # Function to create a user in the new identity store def create_user(user)...
@pytest.fixture(scope='class') def s3_client(self): s3_client = boto3.client('s3', region_name='ap-southeast-2') yield s3_client @mock_s3 def test_store_new_supplier_file(self, config, s3_client): s3_client.create_bucket(Bucket='test')...