lambda function to unzip file from SFMC

unzip.py

import urllib
import zipfile
import boto3
import io

s3 = boto3.client('s3')

def lambda_handler(event, context):
    bucket = event['Records'][0]['s3']['bucket']['name']
    key = urllib.parse.quote_plus(event['Records'][0]['s3']['object']['key'].encode('utf8'))

    if key.find(".zip") >0:
        
        try:
            obj = s3.get_object(Bucket=bucket, Key=key)
            putObjects = []
            with io.BytesIO(obj["Body"].read()) as tf:
                # rewind the file
                tf.seek(0)
    
                # Read the file as a zipfile and process the members
                with zipfile.ZipFile(tf, mode='r') as zipf:
                    for file in zipf.infolist():
                        fileName = file.filename
                        putFile = s3.put_object(Bucket=bucket, Key=fileName, Body=zipf.read(file))
                        putObjects.append(putFile)
                        print(putFile)
    
    
            # Delete zip file after unzip
            if len(putObjects) > 0:
                deletedObj = s3.delete_object(Bucket=bucket, Key=key)
                print('deleted file:')
                print(deletedObj)
    
        except Exception as e:
            print(e)
            print('Error getting object {} from bucket {}. Make sure they exist and your bucket is in the same region as this function.'.format(key, bucket))
            raise e