pankajastro commented on code in PR #26652:
URL: https://github.com/apache/airflow/pull/26652#discussion_r1001967646
##########
airflow/providers/amazon/aws/operators/glacier.py:
##########
@@ -54,3 +54,55 @@ def __init__(
def execute(self, context: Context):
hook = GlacierHook(aws_conn_id=self.aws_conn_id)
return hook.retrieve_inventory(vault_name=self.vault_name)
+
+
+class GlacierUploadArchiveOperator(BaseOperator):
+ """
+ This operation adds an archive to a vault
+
+ .. seealso::
+ For more information on how to use this operator, take a look at the
guide:
+ :ref:`howto/operator:GlacierUploadArchiveOperator`
+
+ :param account_id: The AWS account ID of the account that owns the vault.
+ You can either specify an AWS account ID or optionally a single `-`
(hyphen),
+ in which case Amazon S3 Glacier uses the AWS account ID associated with
+ the credentials used to sign the request
+ :param vault_name: The name of the vault
+ :param body: A bytes or seekable file-like object. The data to upload.
Review Comment:
If the source (where data is coming from) is known then it makes sense to
have a transfer operator but my purpose here is to automate the frequently used
python function in DAG so that it can be reused as an operator. It would be
useful if I want to upload my local data to Glacier or data from any source
storage for which we do not have native API (download data and upload)
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