ad-m commented on a change in pull request #8550:
URL: https://github.com/apache/airflow/pull/8550#discussion_r474665132
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File path: tests/providers/google/cloud/operators/test_dataflow_system.py
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@@ -26,4 +37,191 @@
class CloudDataflowExampleDagsSystemTest(GoogleSystemTest):
@provide_gcp_context(GCP_DATAFLOW_KEY)
def test_run_example_dag_function(self):
- self.run_dag('example_gcp_dataflow', CLOUD_DAG_FOLDER)
+ self.run_dag("example_gcp_dataflow", CLOUD_DAG_FOLDER)
+
+
+GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project")
+GCR_FLEX_TEMPLATE_IMAGE =
f"gcr.io/{GCP_PROJECT_ID}/samples-dataflow-streaming-beam-sql:latest"
+
+#
https://github.com/GoogleCloudPlatform/java-docs-samples/tree/954553c/dataflow/flex-templates/streaming_beam_sql
+GCS_TEMPLATE_PARTS = urlparse(GCS_FLEX_TEMPLATE_TEMPLATE_PATH)
+GCS_FLEX_TEMPLATE_BUCKET_NAME = GCS_TEMPLATE_PARTS.netloc
+
+
+EXAMPLE_FLEX_TEMPLATE_REPO = "GoogleCloudPlatform/java-docs-samples"
+EXAMPLE_FLEX_TEMPLATE_COMMIT = "deb0745be1d1ac1d133e1f0a7faa9413dbfbe5fe"
+EXAMPLE_FLEX_TEMPLATE_SUBDIR = "dataflow/flex-templates/streaming_beam_sql"
+
+
[email protected]("mysql", "postgres")
[email protected]_file(GCP_GCS_TRANSFER_KEY)
+class CloudDataflowExampleDagFlexTemplateJavagSystemTest(GoogleSystemTest):
+ @provide_gcp_context(GCP_GCS_TRANSFER_KEY,
project_id=GoogleSystemTest._project_id())
+ def setUp(self) -> None:
+ # Create a Cloud Storage bucket
+ self.execute_cmd(["gsutil", "mb",
f"gs://{GCS_FLEX_TEMPLATE_BUCKET_NAME}"])
+
+ # Build image with pipeline
+ with NamedTemporaryFile() as f:
+ f.write(
+ textwrap.dedent(
+ """\
+ steps:
Review comment:
Have you considered use standard `dict` and use `json.dumps` to generate
file content? You don't use any YAML specific syntax and JSON is subset of
YAML. I believe that `dict` is easier to maintain long term than a hard-coded
text block.
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