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Subclass boto3.Session to use AWS_S3_ENDPOINT_URL
As of 0.1.13, the s3-tar library uses an environment variable (`S3_ENDPOINT_URL`) to determine the AWS endpoint. See: https://github.com/xtream1101/s3-tar/blob/0.1.13/s3_tar/utils.py#L25-L29. To save BookWyrm admins from having to set it (e.g., through `.env`) when they are already setting `AWS_S3_ENDPOINT_URL`, we create a Session class that unconditionally uses that URL, and feed it to S3Tar.
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@ -3,6 +3,7 @@
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import logging
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from uuid import uuid4
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from boto3.session import Session as BotoSession
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from s3_tar import S3Tar
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from storages.backends.s3boto3 import S3Boto3Storage
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@ -25,6 +26,14 @@ from bookwyrm.utils.tar import BookwyrmTarFile
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logger = logging.getLogger(__name__)
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class BookwyrmAwsSession(BotoSession):
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"""a boto session that always uses settings.AWS_S3_ENDPOINT_URL"""
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def client(service_name, **kwargs):
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kwargs["endpoint_url"] = settings.AWS_S3_ENDPOINT_URL
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return super().client(service_name, **kwargs)
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class BookwyrmExportJob(ParentJob):
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"""entry for a specific request to export a bookwyrm user"""
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@ -211,6 +220,7 @@ class AddFileToTar(ChildJob):
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s3_job = S3Tar(
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settings.AWS_STORAGE_BUCKET_NAME,
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f"exports/{filename}.tar.gz",
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session=BookwyrmAwsSession(),
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)
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# save json file
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