A tool built on top of boto3 that allows you to easily manage your S3 buckets.

s3hive is a Python tool that provides a high-level interface for working with S3 buckets. With this tool, you can easily perform common operations on your S3 buckets such as creating, deleting, listing, uploading files, etc.

This tool uses the popular boto3 library to interact with the S3 API, making it simple and intuitive to use.

s3hive is designed to be easy to use, with a simple and consistent API that abstracts away many of the complexities of working with S3 buckets. Whether you're a seasoned developer or just getting started, s3hive can help you streamline your S3 operations and save time.

• Create a new S3 bucket
• Delete an existing S3 bucket
• Generate a presigned URL to share an S3 object
• List all S3 buckets
• Upload files to an S3 bucket
• Download files from an S3 bucket
• List files in an S3 bucket
• Delete files from an S3 bucket

This tool is a wrapper around the boto3 library. It provides a simple interface to manage your S3 buckets.

You can install s3hive using pip:

$ pip install s3hive

Here's an example of how to use s3hive to list all your S3 buckets:

import s3hive as s3
import os

ENDPOINT_URL = os.environ.get('ENDPOINT_URL')
REGION = os.environ.get('REGION')
AWS_ACCESS_KEY_ID = os.environ.get('AWS_ACCESS_KEY_ID')
AWS_SECRET_ACCESS_KEY = os.environ.get('AWS_SECRET_ACCESS_KEY')

s3hive = s3.Bucket(
    endpoint_url=ENDPOINT_URL,
    region=REGION,
    aws_access_key_id=AWS_ACCESS_KEY_ID,
    aws_secret_access_key=AWS_SECRET_ACCESS_KEY,
)

buckets = s3hive.list_buckets()

print(buckets)

# Output:
# [{
#      'name': 'bucket1',
#      'creation_date': datetime.datetime(2020, 5, 1, 12, 0, 0, tzinfo=tzutc())
# }]

For more examples and detailed documentation, please visit our GitHub repository.

s3hive is licensed under the MIT License.