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Showing content from https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3.html below:

S3 - Boto3 1.40.11 documentation

The following example shows how to use an Amazon S3 bucket resource to list the objects in the bucket.

import boto3

s3 = boto3.resource('s3')
bucket = s3.Bucket('amzn-s3-demo-bucket')
for obj in bucket.objects.all():
    print(obj.key)

This example shows how to list all of the top-level common prefixes in an Amazon S3 bucket:

import boto3

client = boto3.client('s3')
paginator = client.get_paginator('list_objects')
result = paginator.paginate(Bucket='amzn-s3-demo-bucket', Delimiter='/')
for prefix in result.search('CommonPrefixes'):
    print(prefix.get('Prefix'))

The following example shows how to initiate restoration of glacier objects in an Amazon S3 bucket, determine if a restoration is on-going, and determine if a restoration is finished.

import boto3

s3 = boto3.resource('s3')
bucket = s3.Bucket('amzn-s3-demo-bucket')
for obj_sum in bucket.objects.all():
    obj = s3.Object(obj_sum.bucket_name, obj_sum.key)
    if obj.storage_class == 'GLACIER':
        # Try to restore the object if the storage class is glacier and
        # the object does not have a completed or ongoing restoration
        # request.
        if obj.restore is None:
            print('Submitting restoration request: %s' % obj.key)
            obj.restore_object(RestoreRequest={'Days': 1})
        # Print out objects whose restoration is on-going
        elif 'ongoing-request="true"' in obj.restore:
            print('Restoration in-progress: %s' % obj.key)
        # Print out objects whose restoration is complete
        elif 'ongoing-request="false"' in obj.restore:
            print('Restoration complete: %s' % obj.key)

This example shows how to use SSE-KMS to upload objects using server side encryption with a key managed by KMS.

We can either use the default KMS master key, or create a custom key in AWS and use it to encrypt the object by passing in its key id.

With KMS, nothing else needs to be provided for getting the object; S3 already knows how to decrypt the object.

import boto3
import os

BUCKET = 'amzn-s3-demo-bucket'
s3 = boto3.client('s3')
keyid = '<the key id>'

print("Uploading S3 object with SSE-KMS")
s3.put_object(Bucket=BUCKET,
              Key='encrypt-key',
              Body=b'foobar',
              ServerSideEncryption='aws:kms',
              # Optional: SSEKMSKeyId
              SSEKMSKeyId=keyid)
print("Done")

# Getting the object:
print("Getting S3 object...")
response = s3.get_object(Bucket=BUCKET,
                         Key='encrypt-key')
print("Done, response body:")
print(response['Body'].read())

This example shows how to use SSE-C to upload objects using server side encryption with a customer provided key.

First, we’ll need a 32 byte key. For this example, we’ll randomly generate a key but you can use any 32 byte key you want. Remember, you must the same key to download the object. If you lose the encryption key, you lose the object.

Also note how we don’t have to provide the SSECustomerKeyMD5. Boto3 will automatically compute this value for us.

import boto3
import os

BUCKET = 'amzn-s3-demo-bucket'
KEY = os.urandom(32)
s3 = boto3.client('s3')

print("Uploading S3 object with SSE-C")
s3.put_object(Bucket=BUCKET,
              Key='encrypt-key',
              Body=b'foobar',
              SSECustomerKey=KEY,
              SSECustomerAlgorithm='AES256')
print("Done")

# Getting the object:
print("Getting S3 object...")
# Note how we're using the same ``KEY`` we
# created earlier.
response = s3.get_object(Bucket=BUCKET,
                         Key='encrypt-key',
                         SSECustomerKey=KEY,
                         SSECustomerAlgorithm='AES256')
print("Done, response body:")
print(response['Body'].read())

This example shows how to download a specific version of an S3 object.

import boto3
s3 = boto3.client('s3')

s3.download_file(
    "amzn-s3-demo-bucket", "key-name", "tmp.txt",
    ExtraArgs={"VersionId": "my-version-id"}
)

This example shows how to filter objects by last modified time using JMESPath.

import boto3
s3 = boto3.client("s3")

s3_paginator = s3.get_paginator('list_objects_v2')
s3_iterator = s3_paginator.paginate(Bucket='amzn-s3-demo-bucket')

filtered_iterator = s3_iterator.search(
    "Contents[?to_string(LastModified)>='\"2022-01-05 08:05:37+00:00\"'].Key"
)

for key_data in filtered_iterator:
    print(key_data)

Client context parameters are configurable on a client instance via the client_context_params parameter in the Config object. For more detailed instructions and examples on the exact usage of context params see the configuration guide.

The available s3 client context params are:

• disable_s3_express_session_auth (boolean) - Disables this client’s usage of Session Auth for S3Express

  buckets and reverts to using conventional SigV4 for those.

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