fix: Reorganizing fixtures for the dataproc quickstart

dataproc/snippets/quickstart/quickstart.py

@@ -44,8 +44,8 @@ def quickstart(project_id, region, cluster_name, job_file_path):
         "project_id": project_id,
         "cluster_name": cluster_name,
         "config": {
-            "master_config": {"num_instances": 1, "machine_type_uri": "n1-standard-2"},
-            "worker_config": {"num_instances": 2, "machine_type_uri": "n1-standard-2"},
+            "master_config": {"num_instances": 1, "machine_type_uri": "n1-standard-2", "disk_config": {"boot_disk_size_gb": 100}},
+            "worker_config": {"num_instances": 2, "machine_type_uri": "n1-standard-2", "disk_config": {"boot_disk_size_gb": 100}},
         },
     }
 

dataproc/snippets/quickstart/quickstart_test.py

@@ -26,10 +26,8 @@
 
 PROJECT_ID = os.environ["GOOGLE_CLOUD_PROJECT"]
 REGION = "us-central1"
-CLUSTER_NAME = "py-qs-test-{}".format(str(uuid.uuid4()))
-STAGING_BUCKET = "py-dataproc-qs-bucket-{}".format(str(uuid.uuid4()))
+
 JOB_FILE_NAME = "sum.py"
-JOB_FILE_PATH = "gs://{}/{}".format(STAGING_BUCKET, JOB_FILE_NAME)
 SORT_CODE = (
     "import pyspark\n"
     "sc = pyspark.SparkContext()\n"
@@ -38,28 +36,43 @@
 )
 
 
-@pytest.fixture(autouse=True)
-def blob():
-    storage_client = storage.Client()
+@backoff.on_exception(backoff.expo, ServiceUnavailable, max_tries=5)
+def delete_bucket(bucket):
+    bucket.delete()
+
+
+@backoff.on_exception(backoff.expo, ServiceUnavailable, max_tries=5)
+def delete_blob(blob):
+    blob.delete()
 
-    @backoff.on_exception(backoff.expo, ServiceUnavailable, max_tries=5)
-    def create_bucket():
-        return storage_client.create_bucket(STAGING_BUCKET)
 
-    bucket = create_bucket()
+@backoff.on_exception(backoff.expo, ServiceUnavailable, max_tries=5)
+def upload_blob(bucket, contents):
     blob = bucket.blob(JOB_FILE_NAME)
-    blob.upload_from_string(SORT_CODE)
+    blob.upload_from_string(contents)
+    return blob
 
-    yield
 
-    blob.delete()
-    bucket.delete()
+@backoff.on_exception(backoff.expo, ServiceUnavailable, max_tries=5)
+def create_bucket(bucket_name):
+    storage_client = storage.Client()
+    return storage_client.create_bucket(bucket_name)
 
 
-@pytest.fixture(autouse=True)
-def cluster():
-    yield
+@pytest.fixture(scope="module")
+def staging_bucket_name():
+    bucket_name = "py-dataproc-qs-bucket-{}".format(str(uuid.uuid4()))
+    bucket = create_bucket(bucket_name)
+    blob = upload_blob(bucket, SORT_CODE)
+    try:
+        yield bucket_name
+    finally:
+        delete_blob(blob)
+        delete_bucket(bucket)
 
+
+@backoff.on_exception(backoff.expo, ServiceUnavailable, max_tries=5)
+def verify_cluster_teardown(cluster_name):
     # The quickstart sample deletes the cluster, but if the test fails
     # before cluster deletion occurs, it can be manually deleted here.
     cluster_client = dataproc.ClusterControllerClient(
@@ -69,23 +82,31 @@ def cluster():
     clusters = cluster_client.list_clusters(
         request={"project_id": PROJECT_ID, "region": REGION}
     )
-
     for cluster in clusters:
-        if cluster.cluster_name == CLUSTER_NAME:
+        if cluster.cluster_name == cluster_name:
             cluster_client.delete_cluster(
                 request={
                     "project_id": PROJECT_ID,
                     "region": REGION,
-                    "cluster_name": CLUSTER_NAME,
+                    "cluster_name": cluster_name,
                 }
             )
 
 
 @backoff.on_exception(backoff.expo, InvalidArgument, max_tries=3)
-def test_quickstart(capsys):
-    quickstart.quickstart(PROJECT_ID, REGION, CLUSTER_NAME, JOB_FILE_PATH)
-    out, _ = capsys.readouterr()
-
-    assert "Cluster created successfully" in out
-    assert "Job finished successfully" in out
-    assert "successfully deleted" in out
+def test_quickstart(capsys, staging_bucket_name):
+    cluster_name = "py-qs-test-{}".format(str(uuid.uuid4()))
+    try:
+        quickstart.quickstart(
+            PROJECT_ID,
+            REGION,
+            cluster_name,
+            "gs://{}/{}".format(staging_bucket_name, JOB_FILE_NAME)
+        )
+        out, _ = capsys.readouterr()
+
+        assert "Cluster created successfully" in out
+        assert "Job finished successfully" in out
+        assert "successfully deleted" in out
+    finally:
+        verify_cluster_teardown(cluster_name)