automl: move video classification samples out of branch

automl/beta/video_classification_create_dataset.py

@@ -13,14 +13,14 @@
 # limitations under the License.
 
 
-def create_dataset(project_id, display_name):
-    """Create a dataset."""
-    # [START automl_video_classification_create_dataset_beta]
-    from google.cloud import automl_v1beta1 as automl
+# [START automl_video_classification_create_dataset_beta]
+from google.cloud import automl_v1beta1 as automl
 
-    # TODO(developer): Uncomment and set the following variables
-    # project_id = "YOUR_PROJECT_ID"
-    # display_name = "your_datasets_display_name"
+
+def create_dataset(
+    project_id="YOUR_PROJECT_ID", display_name="your_datasets_display_name"
+):
+    """Create a automl video classification dataset."""
 
     client = automl.AutoMlClient()
 
@@ -37,9 +37,10 @@ def create_dataset(project_id, display_name):
 
     # Display the dataset information
     print("Dataset name: {}".format(created_dataset.name))
+
     # To get the dataset id, you have to parse it out of the `name` field.
     # As dataset Ids are required for other methods.
     # Name Form:
     #    `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
     print("Dataset id: {}".format(created_dataset.name.split("/")[-1]))
-    # [END automl_video_classification_create_dataset_beta]
+# [END automl_video_classification_create_dataset_beta]

automl/beta/video_classification_create_dataset_test.py

@@ -12,8 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import datetime
 import os
+import uuid
 
 from google.cloud import automl_v1beta1 as automl
 import pytest
@@ -22,7 +22,7 @@
 
 
 PROJECT_ID = os.environ["AUTOML_PROJECT_ID"]
-pytest.DATASET_ID = None
+DATASET_ID = None
 
 
 @pytest.fixture(scope="function", autouse=True)
@@ -32,20 +32,21 @@ def teardown():
     # Delete the created dataset
     client = automl.AutoMlClient()
     dataset_full_id = client.dataset_path(
-        PROJECT_ID, "us-central1", pytest.DATASET_ID
+        PROJECT_ID, "us-central1", DATASET_ID
     )
     response = client.delete_dataset(dataset_full_id)
     response.result()
 
 
 def test_video_classification_create_dataset(capsys):
     # create dataset
-    dataset_name = "test_" + datetime.datetime.now().strftime("%Y%m%d%H%M%S")
+    dataset_name = "test_{}".format(uuid.uuid4()).replace("-", "")[:32]
     video_classification_create_dataset.create_dataset(
         PROJECT_ID, dataset_name
     )
     out, _ = capsys.readouterr()
     assert "Dataset id: " in out
 
-    # Get the the created dataset id for deletion
-    pytest.DATASET_ID = out.splitlines()[1].split()[2]
+    # Get the dataset id for deletion
+    global DATASET_ID
+    DATASET_ID = out.splitlines()[1].split()[2]

automl/beta/video_classification_create_model.py

@@ -12,21 +12,21 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+# [START automl_video_classification_create_model_beta]
+from google.cloud import automl_v1beta1 as automl
 
-def create_model(project_id, dataset_id, display_name):
-    """Create a model."""
-    # [START automl_video_classification_create_model_beta]
-    from google.cloud import automl_v1beta1 as automl
-
-    # TODO(developer): Uncomment and set the following variables
-    # project_id = "YOUR_PROJECT_ID"
-    # dataset_id = "YOUR_DATASET_ID"
-    # display_name = "your_models_display_name"
 
+def create_model(
+    project_id="YOUR_PROJECT_ID",
+    dataset_id="YOUR_DATASET_ID",
+    display_name="your_models_display_name",
+):
+    """Create a automl video classification model."""
     client = automl.AutoMlClient()
 
-    # A resource that represents Google Cloud Platform location.
+    # A resource that represents Google Cloud Platform loacation.
     project_location = client.location_path(project_id, "us-central1")
+    # Leave model unset to use the default base model provided by Google
     metadata = automl.types.VideoClassificationModelMetadata()
     model = automl.types.Model(
         display_name=display_name,
@@ -39,4 +39,4 @@ def create_model(project_id, dataset_id, display_name):
 
     print("Training operation name: {}".format(response.operation.name))
     print("Training started...")
-    # [END automl_video_classification_create_model_beta]
+# [END automl_video_classification_create_model_beta]

automl/beta/video_classification_create_model_test.py

@@ -13,6 +13,7 @@
 # limitations under the License.
 
 import os
+import uuid
 
 from google.cloud import automl_v1beta1 as automl
 import pytest
@@ -21,26 +22,26 @@
 
 PROJECT_ID = os.environ["GCLOUD_PROJECT"]
 DATASET_ID = "VCN510437278078730240"
-pytest.OPERATION_ID = None
+OPERATION_ID = None
 
 
 @pytest.fixture(scope="function", autouse=True)
 def teardown():
     yield
 
-    # Cancel the operation
+    # Cancel the training operation
     client = automl.AutoMlClient()
-    client.transport._operations_client.cancel_operation(pytest.OPERATION_ID)
+    client.transport._operations_client.cancel_operation(OPERATION_ID)
 
 
 def test_video_classification_create_model(capsys):
+    model_name = "test_{}".format(uuid.uuid4()).replace("-", "")[:32]
     video_classification_create_model.create_model(
-        PROJECT_ID, DATASET_ID, "classification_test_create_model"
+        PROJECT_ID, DATASET_ID, model_name
     )
     out, _ = capsys.readouterr()
     assert "Training started" in out
 
-    # Get the the operation id for cancellation
-    pytest.OPERATION_ID = out.split("Training operation name: ")[1].split(
-        "\n"
-    )[0]
+    # Cancel the operation
+    global OPERATION_ID
+    OPERATION_ID = out.split("Training operation name: ")[1].split("\n")[0]