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How to use Boto3 and AWS Resource to determine whether a root bucket exists in S3?
Problem Statement − Use Boto3 library in Python to determine whether a root bucket exists in S3 or not.
Example − Bucket_1 exists or not in S3.
Approach/Algorithm to solve this problem
Step 1 − Import boto3 and botocore exceptions to handle exceptions.
Step 2 − Create an AWS session using boto3 library.
Step 3 − Create an AWS resource for S3.
Step 4 − Use the function head_bucket(). It returns 200 OK if the bucket exists and the user has permission to access it. Otherwise, the response would be 403 Forbidden or 404 Not Found.
Step 5 − Handle the exception based on the response code.
Step 6 − Return True/False based on whether the bucket exists or not.
Example
The following code checks whether a root bucket exists in S3 −
import boto3 from botocore.exceptions import ClientError # To check whether root bucket exists or not def bucket_exists(bucket_name): try: session = boto3.session.Session() # User can pass customized access key, secret_key and token as well s3_resource = session.resource('s3') s3_resource.meta.client.head_bucket(Bucket=bucket_name) print("Bucket exists.", bucket_name) exists = True except ClientError as error: error_code = int(error.response['Error']['Code']) if error_code == 403: print("Private Bucket. Forbidden Access! ", bucket_name) elif error_code == 404: print("Bucket Does Not Exist!", bucket_name) exists = False return exists print(bucket_exists('bucket_1')) print(bucket_exists('AWS_bucket_1'))
Output
Bucket exists. bucket_1 True Bucket Does Not Exist! AWS_bucket_1 False
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