moomindani commented on PR #63622:
URL: https://github.com/apache/airflow/pull/63622#issuecomment-4063106646
You're right, sorry about that. Here's the actual DAG I tested:
```python
from datetime import datetime
from airflow.models.dag import DAG
from airflow.providers.amazon.aws.operators.s3 import (
S3CreateBucketOperator,
S3DeleteBucketOperator,
)
ACCOUNT_ID = "xxxxxxxxxxxx"
REGION = "us-east-1"
BUCKET_NAME = f"airflow-dag-ns-test-{ACCOUNT_ID}-{REGION}-an"
with DAG(
dag_id="test_s3_account_regional_namespace",
start_date=datetime(2026, 1, 1),
schedule=None,
catchup=False,
) as dag:
create_bucket = S3CreateBucketOperator(
task_id="create_bucket",
bucket_name=BUCKET_NAME,
region_name=REGION,
bucket_namespace="account-regional",
aws_conn_id=None,
)
delete_bucket = S3DeleteBucketOperator(
task_id="delete_bucket",
bucket_name=BUCKET_NAME,
force_delete=False,
aws_conn_id=None,
)
create_bucket >> delete_bucket
```
Tested the full DAG against real S3 using `airflow dags test`:
```
$ airflow dags test test_s3_account_regional_namespace 2026-01-01
Created bucket with name: airflow-dag-ns-test-xxxxxxxxxxxx-us-east-1-an
Deleted bucket with name: airflow-dag-ns-test-xxxxxxxxxxxx-us-east-1-an
DagRun Finished: state=success
```
Note: Requires `botocore>=1.42.0` at runtime.
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