AWS S3 Operations

A Python implementation for basic AWS S3 operations using boto3. This implementation provides functions for listing, creating, uploading, downloading, and deleting S3 bucket contents.

Prerequisites

• Python 3.8.19
• boto3 (AWS SDK for Python)
• AWS Account with S3 access
• AWS Access Key and Secret Access Key

Installation

Install the required AWS SDK for Python:

pip install boto3

Configuration

You'll need to configure the following AWS credentials:

aws_accesskey = <Your Access Key>
aws_secretaccess = <Your secret access key>
myregion = <your region>
mybucket = <your bucket name>

Required Libraries

import boto3
import os
import logging

Functions

1. List Buckets

Lists all S3 buckets in your AWS account.

List_My_Buckets(aws_access, aws_secret, aws_region)

2. Create Bucket

Creates a new S3 bucket with location constraint.

create_bucket(aws_access, aws_secret, aws_region, bucket_name)

3. Upload File

Uploads a file to specified S3 bucket.

upload_file(aws_access, aws_secret, aws_region, bucket_name, file_toupload, object_name=None)

• If object_name is not specified, the filename will be used

4. Download File

Two methods are provided for downloading files:

Method 1 (using download_fileobj):

download_file(aws_access, aws_secret, aws_region, bucket_name, file_todownload, object_name)

Method 2 (using download_file):

download_file_2(aws_access, aws_secret, aws_region, bucket_name, file_todownload, object_name)

5. List Objects

Lists all objects in a specified bucket with their sizes in KB.

list_object_v2(aws_access, aws_secret, aws_region, bucket_name)

6. Delete Object

Deletes a specific file from a bucket.

delete_object(aws_access, aws_secret, aws_region, bucket_name, file_todelete)

Error Handling

All functions include error handling using try-except blocks for ClientError exceptions and logging.

Official Documentation References

• Boto3 Documentation
• Boto3 S3 Documentation