s3pypi

import os import shutil from pathlib import Path from s3pypi.main import S3PyPI # 1. Create a temporary directory and a dummy package file dist_dir = Path("dist_temp_s3pypi") dist_dir.mkdir(exist_ok=True) dummy_package_name = "my_dummy_package-1.0.0-py3-none-any.whl" dummy_package_path = dist_dir / dummy_package_name dummy_package_path.write_text("This is a dummy package file content.") print(f"Created dummy package file: {dummy_package_path}") # 2. Configure S3PyPI using environment variables for AWS credentials # Ensure AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_REGION are set in your environment # and S3_PYPI_BUCKET points to your target S3 bucket. aws_region = os.environ.get('AWS_REGION', 'us-east-1') s3_bucket_name = os.environ.get('S3_PYPI_BUCKET', 'your-s3pypi-bucket-name') print(f"\nAttempting to deploy package to s3://{s3_bucket_name} in region {aws_region}...") try: s3 = S3PyPI( bucket=s3_bucket_name, region=aws_region, files=[str(dummy_package_path)] # Directly provide the path to the artifact ) s3.deploy() # Use .deploy() as .upload() was removed in v2.0.0 print(f"Successfully deployed {dummy_package_name} to s3://{s3_bucket_name}.") except Exception as e: print(f"Error deploying package: {e}") print("\nEnsure you have configured AWS credentials (e.g., via environment variables, ~/.aws/credentials) ") print(f"and that S3 bucket '{s3_bucket_name}' exists and you have write permissions (s3:PutObject, s3:GetObject, s3:ListBucket).") # 3. Clean up temporary files shutil.rmtree(dist_dir) print("Cleaned up temporary files.")