hankehly commented on code in PR #32760:
URL: https://github.com/apache/airflow/pull/32760#discussion_r1271258411
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tests/system/providers/amazon/aws/example_gcs_to_s3.py:
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@@ -38,18 +50,40 @@
) as dag:
test_context = sys_test_context_task()
env_id = test_context["ENV_ID"]
+ gcp_user_project = test_context[GCP_PROJECT_ID]
s3_bucket = f"{env_id}-gcs-to-s3-bucket"
s3_key = f"{env_id}-gcs-to-s3-key"
create_s3_bucket = S3CreateBucketOperator(task_id="create_s3_bucket",
bucket_name=s3_bucket)
+ gcs_bucket = f"{env_id}-gcs-to-s3-bucket"
+ gcs_key = f"{env_id}-gcs-to-s3-key"
+
+ create_gcs_bucket = GCSCreateBucketOperator(
+ task_id="create_gcs_bucket",
+ bucket_name=gcs_bucket,
+ resource={"billing": {"requesterPays": True}},
Review Comment:
To test that GCSToS3Operator works with requester pays buckets, you need a
bucket with "requester pays" enabled. Luckily, you don't need two GCP accounts
to use this feature. You can specify your own GCP project ID as the billable
project. If a bucket has "requester pays" enabled and you don't specify a
`user_project`, an error will occur.
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