python-boto3/docs/source/guide/s3-example-bucket-policies.rst
2021-09-22 09:34:33 -07:00

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.. Copyright 2010-2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0
International License (the "License"). You may not use this file except in compliance with the
License. A copy of the License is located at http://creativecommons.org/licenses/by-nc-sa/4.0/.
This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
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Bucket policies
###############
An S3 bucket can have an optional policy that grants access permissions to
other AWS accounts or AWS Identity and Access Management (IAM) users. Bucket
policies are defined using the same JSON format as a resource-based IAM policy.
Retrieve a bucket policy
========================
Retrieve a bucket's policy by calling the AWS SDK for Python
``get_bucket_policy`` method. The method accepts a parameter that specifies
the bucket name.
.. code-block:: python
import boto3
# Retrieve the policy of the specified bucket
s3 = boto3.client('s3')
result = s3.get_bucket_policy(Bucket='BUCKET_NAME')
print(result['Policy'])
Set a bucket policy
===================
A bucket's policy can be set by calling the ``put_bucket_policy`` method.
The policy is defined in the same JSON format as an IAM policy. The policy
defined in the example below enables any user to retrieve any object
stored in the bucket identified by the ``bucket_name`` variable.
.. code-block:: python
import json
# Create a bucket policy
bucket_name = 'BUCKET_NAME'
bucket_policy = {
'Version': '2012-10-17',
'Statement': [{
'Sid': 'AddPerm',
'Effect': 'Allow',
'Principal': '*',
'Action': ['s3:GetObject'],
'Resource': f'arn:aws:s3:::{bucket_name}/*'
}]
}
# Convert the policy from JSON dict to string
bucket_policy = json.dumps(bucket_policy)
# Set the new policy
s3 = boto3.client('s3')
s3.put_bucket_policy(Bucket=bucket_name, Policy=bucket_policy)
Delete a bucket policy
======================
A bucket's policy can be deleted by calling the ``delete_bucket_policy`` method.
.. code-block:: python
# Delete a bucket's policy
s3 = boto3.client('s3')
s3.delete_bucket_policy(Bucket='BUCKET_NAME')