AWS: Boto3 configuring bucket lifecycle - Malformed XML - amazon-web-services

Question

The following code should enable versioning on a bucket/list of buckets, and then set the lifecycle configuration.
import boto3
# Create session
s3 = boto3.resource('s3')
s3Client = boto3.client('s3')
# Bucket list
buckets = ['BUCKETNAMEHERE']
# iterate through list of buckets
for bucket in buckets:
# Enable Versioning
bucketVersioning = s3.BucketVersioning(bucket)
bucketVersioning.enable()
# Configure Lifecycle
s3Client.put_bucket_lifecycle_configuration(
Bucket=bucket,
LifecycleConfiguration={
'Rules': [
{
'Status': 'Enabled',
'NoncurrentVersionTransitions': [
{
'NoncurrentDays': 7,
'StorageClass': 'GLACIER'
},
],
'NoncurrentVersionExpiration': {
'NoncurrentDays': 30
}
},
]
}
)
print "Versioning and lifecycle have been enabled for buckets."
However, whenever I run this I get the following error:
File "putVersioning.py", line 42, in <module>
'NoncurrentDays': 30
File "/home/user/.local/lib/python2.7/site-packages/botocore/client.py", line 253, in _api_call
return self._make_api_call(operation_name, kwargs)
File "/home/user/.local/lib/python2.7/site-packages/botocore/client.py", line 557, in _make_api_call
raise error_class(parsed_response, operation_name)
botocore.exceptions.ClientError: An error occurred (MalformedXML) when calling the PutBucketLifecycleConfiguration operation: The XML you provided was not well-formed or did not validate against our published schema
As far as I can tell, everything looks correct?

Answer 1

According to the docs here you need to add Filter element, which is required as per Amazon API, and confusingly enough, not required by boto. I added the deprecated Prefix argument instead of the Filter and it seems to be working too.

Answer 2

This one works for me:
client.put_bucket_lifecycle_configuration(
Bucket=s3_bucket,
LifecycleConfiguration={
'Rules': [
{
'Expiration': {'Days': 5},
'Filter': {'Prefix': 'folder1/'},
'ID': 'id',
'Status': 'Enabled'
}
]
})
To see an actual Schema, create a new rule in S3, and then use client.get_bucket_lifecycle_configuration(Bucket=s3_bucket)