s3pathlib

import boto3 import os from s3pathlib import S3Path, context # Configure AWS credentials (e.g., from environment variables or a profile) # In a real application, consider using AWS IAM roles or proper credential management. aws_region = os.environ.get("AWS_REGION", "us-east-1") aws_profile = os.environ.get("AWS_PROFILE", None) # Attach a boto3 session for s3pathlib to use if aws_profile: session = boto3.session.Session(region_name=aws_region, profile_name=aws_profile) else: session = boto3.session.Session(region_name=aws_region) context.attach_boto_session(session) # Define an S3 path object bucket_name = os.environ.get("S3_BUCKET_NAME", "your-test-bucket-12345") s3_path = S3Path(bucket_name, "my-folder", "hello.txt") # Example: Write text to S3 print(f"Writing to {s3_path.uri}...") s3_path.write_text("Hello, s3pathlib!") print("Content written.") # Example: Read text from S3 if s3_path.exists(): content = s3_path.read_text() print(f"Content read from S3: '{content}'") # Example: Check if a folder exists and list its contents s3_dir = S3Path(bucket_name, "my-folder/") print(f"Checking if {s3_dir.uri} exists: {s3_dir.exists()}") # Clean up (optional) # s3_path.delete() # Deletes the object # s3_dir.delete_dir() # Deletes all objects under the prefix (careful!) # Detach the boto3 session when done (optional, for explicit resource management) context.detach_boto_session()