Migrate Google example DAG mssql_to_gcs to new design AIP-47 (#24541)

related: #22447, #22430

docs/apache-airflow-providers-google/operators/transfer/mssql_to_gcs.rst

@@ -36,7 +36,7 @@ data from Microsoft SQL Server database to GCS.
 
 Below is an example of using this operator to upload data to GCS.
 
-.. exampleinclude:: /../../airflow/providers/google/cloud/example_dags/example_mssql_to_gcs.py
+.. exampleinclude:: /../../tests/system/providers/google/cloud/gcs/example_mssql_to_gcs.py
     :language: python
     :start-after: [START howto_operator_mssql_to_gcs]
     :end-before: [END howto_operator_mssql_to_gcs]

airflow/providers/google/cloud/example_dags/example_mssql_to_gcs.py → tests/system/providers/google/cloud/gcs/example_mssql_to_gcs.py

@@ -18,27 +18,63 @@
 from datetime import datetime
 
 from airflow import models
+from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
 from airflow.providers.google.cloud.transfers.mssql_to_gcs import MSSQLToGCSOperator
+from airflow.utils.trigger_rule import TriggerRule
+
+ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
+PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
+DAG_ID = "example_mssql_to_gcs"
+
+BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
 
-GCS_BUCKET = os.environ.get("GCP_GCS_BUCKET", "example-airflow")
 FILENAME = 'test_file'
 
 SQL_QUERY = "USE airflow SELECT * FROM Country;"
 
 with models.DAG(
-    'example_mssql_to_gcs',
+    DAG_ID,
     schedule_interval='@once',
-    start_date=datetime(2021, 12, 1),
+    start_date=datetime(2021, 1, 1),
     catchup=False,
-    tags=['example'],
+    tags=['example', 'mssql'],
 ) as dag:
+    create_bucket = GCSCreateBucketOperator(
+        task_id="create_bucket", bucket_name=BUCKET_NAME, project_id=PROJECT_ID
+    )
+
     # [START howto_operator_mssql_to_gcs]
-    upload = MSSQLToGCSOperator(
+    upload_mssql_to_gcs = MSSQLToGCSOperator(
         task_id='mssql_to_gcs',
         mssql_conn_id='airflow_mssql',
         sql=SQL_QUERY,
-        bucket=GCS_BUCKET,
+        bucket=BUCKET_NAME,
         filename=FILENAME,
         export_format='csv',
     )
     # [END howto_operator_mssql_to_gcs]
+
+    delete_bucket = GCSDeleteBucketOperator(
+        task_id="delete_bucket", bucket_name=BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE
+    )
+
+    (
+        # TEST SETUP
+        create_bucket
+        # TEST BODY
+        >> upload_mssql_to_gcs
+        # TEST TEARDOWN
+        >> delete_bucket
+    )
+
+    from tests.system.utils.watcher import watcher
+
+    # This test needs watcher in order to properly mark success/failure
+    # when "tearDown" task with trigger rule is part of the DAG
+    list(dag.tasks) >> watcher()
+
+
+from tests.system.utils import get_test_run  # noqa: E402
+
+# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
+test_run = get_test_run(dag)