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How to get the lifecycle of a S3 bucket using Boto3 and AWS Client?
Problem Statement: Use boto3 library in Python to get lifecycle of a S3 bucket. For example, find the lifecycle of Bucket_1 in S3.
Approach/Algorithm to solve this problem
Step 1 − Import boto3 and botocore exceptions to handle exceptions.
Step 2 − bucket_name is the parameter in the function.
Step 3 − Create an AWS session using boto3 library.
Step 4 − Create an AWS client for S3.
Step 5 − Now, use the function get_bucket_lifecycle_configuration and pass the bucket name.
Step 6 − It returns the dictionary containing the details about S3.
Step 7 − Handle the generic exception if something went wrong while deleting the file.
Example
Use the following code to get the bucket lifecycle −
import boto3
from botocore.exceptions import ClientError
def get_bucket_lifecycle_of_s3(bucket_name):
session = boto3.session.Session()
s3_client = session.client('s3')
try:
result = s3_client.get_bucket_lifecycle_configuration(Bucket=bucket_name,)
except ClientError as e:
raise Exception( "boto3 client error in get_bucket_lifecycle_of_s3 function: " + e.__str__())
except Exception as e:
raise Exception( "Unexpected error in get_bucket_lifecycle_of_s3 function: " + e.__str__())
return result
print(get_bucket_lifecycle_of_s3("Bucket_1"))Output
{
'Rules': [
{
'ID': 'Rule for TaxDocs/',
'Prefix': 'TaxDocs',
'Status': 'Enabled',
'Transitions': [
{
'Days': 365,
'StorageClass': 'STANDARD_IA',
},
],
},
],
'ResponseMetadata': {
'...': '...',
},
}
Updated on: 22-Mar-2021
1K+ Views
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