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AWS Manage S3 Buckets using Python Boto3

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 In this post, I will show you 

how to create S3 bucket, 

how to put objects into the bucket, 

how to upload multiple objects in s3, 

how to download multiple objects, 

how to control access policy, and 

how to host a static website in S3. 


1. How to create S3 Bucket using Python3 Boto3?

Object : resource method: create_bucket 

important method  parameters: 
 ACL : private or public 
 Bucket - name of the bucket name this should be unique for each bucket 
 CreateBucketConfiguration - have the LocationConstrating that is region on which you want to host your s3 bucket.
import boto3
s3_resource = boto3.resource('s3')
bucket = s3_resource.create_bucket(ACL='private',
			Bucket='vybhava2023demo.com',
			CreateBucketConfiguration={
			'LocationConstrating': 'us-west-2'
			}) 
			
print("Successfully create bucket:", bucket)

2. How to put the objects into the S3 Bucket using Boto3

When you want to add file from local system we can use Python file methods and have a object reference here f is the reference to the file opened for read operation.
f=open('greet.txt').read()
s3_client =boto3.client('s3')
respose = s3_client.put_object(
	ACL='private',
	Body=f,
	Bucket='vybhava2023demo.com',
	Key='greet.txt'
	)

3. Delete object from S3 Bucket

Delete object from S3 bucket 
Object : client 
method : delete_object() 
s3_client = boto3.client('s3')
response = s3_client.delete_object(
	Bucket='vybhava2023demo.com',
	Key='greet.txt'	
)

4. List all content objects in a Bucket

List all the contents of a Bucket this may be file objects those are put into the Bucket earlier.
Object: client
method: list_objects
s3_client = boto3.client('s3')
response = s3_client.list_objects(
	Bucket='vybhava2023demo.com'
	)

for content in response['Contents']:
	print(content['Key'])

5. List all S3 Buckets

Get the s3_client object 
method: list_buckets : 
On the aws-cli run the command: aws s3 ls 
# File: list-s3.py 
# Description: This script will list all s3 buckets using client interface

s3_client = boto3.client('s3')
list_buckets=s3_client.list_buckets()
print(list_buckets)

# run 2
for b in list_buckets['Buckets']:
	print(b['Name'])
Hope you enjoyed this post!! Please write back your errors and exceptions when you run the Boto3 programs for AWS services and resources.

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