automl: move video object tracking samples out of branch [(#3043)](Go…

…ogleCloudPlatform/python-docs-samples#3043)

* automl: move video object tracking samples out of branch

* fix uuid and create test

* fix project

* use global var for testing

* Update video_object_tracking_create_model_test.py

samples/beta/video_object_tracking_create_dataset.py

@@ -0,0 +1,38 @@
+# Copyright 2020 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# [START automl_video_object_tracking_create_dataset_beta]
+from google.cloud import automl_v1beta1 as automl
+
+
+def create_dataset(
+    project_id="YOUR_PROJECT_ID", display_name="your_datasets_display_name"
+):
+    """Create a automl video object tracking dataset."""
+    client = automl.AutoMlClient()
+
+    # A resource that represents Google Cloud Platform location.
+    project_location = client.location_path(project_id, "us-central1")
+    metadata = automl.types.VideoObjectTrackingDatasetMetadata()
+    dataset = automl.types.Dataset(
+        display_name=display_name,
+        video_object_tracking_dataset_metadata=metadata,
+    )
+
+    # Create a dataset with the dataset metadata in the region.
+    created_dataset = client.create_dataset(project_location, dataset)
+    # Display the dataset information
+    print("Dataset name: {}".format(created_dataset.name))
+    print("Dataset id: {}".format(created_dataset.name.split("/")[-1]))
+# [END automl_video_object_tracking_create_dataset_beta]

samples/beta/video_object_tracking_create_dataset_test.py

@@ -0,0 +1,51 @@
+# Copyright 2020 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+import uuid
+
+from google.cloud import automl_v1beta1 as automl
+import pytest
+
+import video_object_tracking_create_dataset
+
+PROJECT_ID = os.environ["AUTOML_PROJECT_ID"]
+DATASET_ID = None
+
+
+@pytest.fixture(scope="function", autouse=True)
+def teardown():
+    yield
+
+    # Delete the created dataset
+    client = automl.AutoMlClient()
+    dataset_full_id = client.dataset_path(
+        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_{}".format(uuid.uuid4()).replace("-", "")[:32]
+    video_object_tracking_create_dataset.create_dataset(
+        PROJECT_ID, dataset_name
+    )
+    out, _ = capsys.readouterr()
+    assert "Dataset id: " in out
+
+    # Get the dataset id for deletion
+    global DATASET_ID
+    DATASET_ID = out.splitlines()[1].split()[2]

samples/beta/video_object_tracking_create_model.py

@@ -0,0 +1,42 @@
+# Copyright 2020 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# [START automl_video_object_tracking_create_model_beta]
+from google.cloud import automl_v1beta1 as automl
+
+
+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 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.VideoObjectTrackingModelMetadata()
+    model = automl.types.Model(
+        display_name=display_name,
+        dataset_id=dataset_id,
+        video_object_tracking_model_metadata=metadata,
+    )
+
+    # Create a model with the model metadata in the region.
+    response = client.create_model(project_location, model)
+
+    print("Training operation name: {}".format(response.operation.name))
+    print("Training started...")
+# [END automl_video_object_tracking_create_model_beta]

samples/beta/video_object_tracking_create_model_test.py

@@ -0,0 +1,47 @@
+# Copyright 2020 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+import uuid
+
+from google.cloud import automl_v1beta1 as automl
+import pytest
+
+import video_object_tracking_create_model
+
+PROJECT_ID = os.environ["GCLOUD_PROJECT"]
+DATASET_ID = "VOT2823376535338090496"
+OPERATION_ID = None
+
+
+@pytest.fixture(scope="function", autouse=True)
+def teardown():
+    yield
+
+    # Cancel the training operation
+    client = automl.AutoMlClient()
+    client.transport._operations_client.cancel_operation(OPERATION_ID)
+
+
+def test_video_classification_create_model(capsys):
+    model_name = "test_{}".format(uuid.uuid4()).replace("-", "")[:32]
+    video_object_tracking_create_model.create_model(
+        PROJECT_ID, DATASET_ID, model_name
+    )
+    out, _ = capsys.readouterr()
+    assert "Training started" in out
+
+    # Cancel the operation
+    global OPERATION_ID
+    OPERATION_ID = out.split("Training operation name: ")[1].split("\n")[0]