boto3-s3-example-download-file.py

#!/usr/bin/env python
import boto3
import argparse

# Available args:
#     Environment
#       --env                    dev, stage or prod
# 
# run the script from a command line like so:
# python boto-s3-things.py --env=stage

# Adding this snippet allows you to make the script run for stage vs. prod
# This way, you can test changes to it without messing up what you already have scheduled

parser = argparse.ArgumentParser()
parser.add_argument("--env", default='stage', help='environment to execute script against')
args = parser.parse_args()
env = args.env

#GET A FILE FROM S3

# SET LOCATION 
bucket = 'bucket-name-here'
configfilename = 'config.yaml'

configkey = "config-{environment}/adobe-analytics/{file}".format(environment=env, file=configfilename)

# This downloads the file to your working directory
s3 = boto3.resource('s3')
s3.meta.client.download_file(bucket, configkey, configfilename)