import json
import boto3
import urllib.parse

s3 = boto3.client('s3')

# Below Lambda function will convert any storage class to defined destination storage class

# Specify target object bucket and key to convert its current storage class
bucket = 'bucketName'
key = urllib.parse.unquote_plus('folder1/folder2/filename.jpg', encoding='utf-8')

dest_StorageClass = 'INTELLIGENT_TIERING'
# other possible values -> DEEP_ARCHIVE, GLACIER, GLACIER_IR, ONEZONE_IA, OUTPOSTS, REDUCED_REDUNDANCY, STANDARD, STANDARD_IA,

def lambda_handler(event, context):

    # Get the object bucket and key from the S3 event to convert its current storage class
    # bucket = event['Records'][0]['s3']['bucket']['name']
    # key = urllib.parse.unquote_plus(event['Records'][0]['s3']['object']['key'], encoding='utf-8')

    copy_source = {
        'Bucket': bucket,
        'Key': key
    }

    try:
        s3.copy(
            copy_source, bucket, key,
            ExtraArgs={
                'StorageClass': 'INTELLIGENT_TIERING',
                'MetadataDirective': 'COPY'
            }
        )
        return {
            'statusCode': 200,
            'body': json.dumps(f'Success: object "{key}" from bucket "{bucket}" is converted to destination storage class "{dest_StorageClass}" ')
        }
    except Exception as e:
        print(e)
        print(f'Error: while copying the object "{key}" from bucket "{bucket}" to destination storage class "{dest_StorageClass}" ')
        raise e