Python CLI for convenient emptying of S3 bucket
Project description
S3Empty
S3Empty is a Python CLI for conveniently emptying an AWS S3 bucket.
This tool is useful when you want to delete all objects in a bucket before deleting the bucket itself. It handles versioned and non-versioned S3 buckets.
BucketNotEmpty: The bucket you tried to delete is not empty. You must delete all versions in the bucket.
Installation
pip3 install s3empty
Usage
Run S3Empty with specified bucket name:
s3empty --bucket-name some-bucket
Run S3Empty with a configuration file containing the bucket names:
s3empty --conf-file path/to/some-conf-file.yaml
Show help guide:
s3empty --help
Configuration
You can specify multiple bucket names in S3Empty configuration file and give it a name with .yaml
extension, e.g. some-conf-file.yaml
:
---
bucket_names:
- some-bucket-1
- some-bucket-2
And then call S3Empty:
s3empty --conf-file path/to/some-conf-file.yaml
The configuration file also supports Jinja template where environment variables are available for use. You can give this configuration template a name with .yaml.j2
extension, e.g. some-conf-file.yaml.j2
.
For example, if there is an environment variable ACCOUNT_ID=1234567
, you can specify it in the configuration file:
---
bucket_names:
- some-{{ env.ACCOUNT_ID }}-bucket-1
- some-{{ env.ACCOUNT_ID }}-bucket-2
And then call S3Empty:
s3empty --conf-file path/to/some-conf-file.yaml.j2
Permission
Here's an IAM policy with minimum permissions required by S3Empty:
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "S3EmptyPolicy",
"Effect": "Allow",
"Action": [
"s3:GetBucketVersioning",
"s3:ListBucket",
"s3:ListBucketVersions",
"s3:DeleteObject",
"s3:DeleteObjectVersion",
],
"Resource": [
"arn:aws:s3:::some-bucket",
"arn:aws:s3:::some-bucket/*"
]
}
]
}
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