With S3 buckets, accessing data is even easier than before. For those who want to use Python (encouraged), it is easy as pie.
Make sure you have these ready:
Take a look at this code segment, which allows you to access the bucket, list its objects and upload/download files from it. Feel free to copy paste this segment and fill in with your own values.
import os
import boto3
from botocore.session import Session
from botocore.handlers import validate_bucket_name
#Initializing some values
project_id = 'myprojectID' #Fill in your own
bucketname = 'mybucket123' #Fill in your own
bucketname = project_id + ':' + bucketname
#This is a neat trick to allow us to specify our bucket name in terms of ProjectID:bucketname
botocore_session = Session()
botocore_session.unregister('before-parameter-build.s3', validate_bucket_name)
boto3.setup_default_session(botocore_session = botocore_session)
#Initialize the S3 client
s3 = boto3.client('s3', endpoint_url='https://s3.waw3-1.cloudferro.com',
aws_access_key_id = 'MyAccessKey',
aws_secret_access_key = 'MySecretAccessKey')
#List all the objects in the bucket
response = s3.list_objects(Bucket=bucketname)
for item in response['Contents']:
print(item['Key'])
#Downloading a file from the bucket
with open('myfile.txt', 'wb') as f:
s3.download_fileobj(bucketname, 'myfile.txt', f)
#Uploading a file to the bucket (make sure you have write access)
response = s3.upload_file('myfile.txt', bucketname, 'myfile.txt')
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