Lambda Function (python version) that decompresses and outputs elements to CloudWatch Logs when a compressed file is uploaded to s3

For studying Lambda. Extract the gz file uploaded to the s3 bucket and output it to CloudWatch Logs.

analyze_s3logs

from __future__ import print_function

import json
import urllib
import boto3

import gzip

print('Loading function')

s3 = boto3.client('s3')

def lambda_handler(event, context):
    print("[LambdaLog] Received event: " + json.dumps(event, indent=2))

    # Get the object from the event and show its content type
    bucket = event['Records'][0]['s3']['bucket']['name']
    key = urllib.unquote_plus(event['Records'][0]['s3']['object']['key']).decode('utf8')
    try:
        s3.download_file(bucket, key, '/tmp/file.dat')

        if ('.gz' in key):
            f = gzip.open('/tmp/file.dat', 'rb')
        else:
            f = open('/tmp/file.dat', 'r')
        content = f.read()
        f.close
        print(content)

        return 0
    except Exception as e:
        print(e)
        print('[LambdaLog] 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