Add missing deploy / undeploy samples (#2433)

* Add missing deploy / undeploy samples

* Add new node count sample, update style

* Update automl_vision_object_detection_deploy_model.py

* Update automl_vision_object_detection_deploy_node_count.py

* Update automl_vision_object_detection_undeploy_model.py

Author: nnegrey

vision/automl/automl_vision_object_detection_deploy_model.py

@@ -0,0 +1,56 @@
+# Copyright 2019 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 argparse
+
+
+def deploy_model(project_id, model_id):
+    """Deploy a model."""
+    # [START automl_vision_object_detection_deploy_model]
+    from google.cloud import automl_v1beta1 as automl
+
+    # project_id = 'YOUR_PROJECT_ID'
+    # model_name = 'YOUR_MODEL_ID'
+
+    client = automl.AutoMlClient()
+
+    # The full path to your model
+    full_model_id = client.model_path(project_id, 'us-central1', model_id)
+
+    # Deploy the model
+    response = client.deploy_model(full_model_id)
+
+    print(u'Model deployment finished'.format(response.result()))
+    # [END automl_vision_object_detection_deploy_model]
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(
+        description=__doc__,
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+    )
+
+    parser.add_argument(
+        '--project-id',
+        help='YOUR_PROJECT_ID',
+        required=True)
+    parser.add_argument(
+        '--model-id',
+        help='YOUR_MODEL_ID',
+        required=True)
+
+    args = parser.parse_args()
+
+    deploy_model(args.project_id, args.model_id)

vision/automl/automl_vision_object_detection_deploy_node_count.py

@@ -0,0 +1,60 @@
+# Copyright 2019 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 argparse
+
+
+def deploy_model_node_count(project_id, model_id):
+    """Deploy a model."""
+    # [START automl_vision_object_detection_deploy_model_node_count]
+    from google.cloud import automl_v1beta1 as automl
+
+    # project_id = 'YOUR_PROJECT_ID'
+    # model_name = 'YOUR_MODEL_ID'
+
+    client = automl.AutoMlClient()
+
+    # The full path to your model
+    full_model_id = client.model_path(project_id, 'us-central1', model_id)
+
+    # Set how many nodes the model is deployed on
+    model_deployment_metadata = (
+        automl.types.ImageObjectDetectionModelDeploymentMetadata(node_count=2))
+
+    # Deploy the model
+    response = client.deploy_model(full_model_id, model_deployment_metadata)
+
+    print(u'Model deployment on 2 nodes finished'.format(response.result()))
+    # [END automl_vision_object_detection_deploy_model_node_count]
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(
+        description=__doc__,
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+    )
+
+    parser.add_argument(
+        '--project-id',
+        help='YOUR_PROJECT_ID',
+        required=True)
+    parser.add_argument(
+        '--model-id',
+        help='YOUR_MODEL_ID',
+        required=True)
+
+    args = parser.parse_args()
+
+    deploy_model_node_count(args.project_id, args.model_id)

vision/automl/automl_vision_object_detection_test.py

@@ -0,0 +1,54 @@
+# Copyright 2019 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 pytest
+
+import automl_vision_object_detection_deploy_model
+import automl_vision_object_detection_deploy_node_count
+import automl_vision_object_detection_undeploy_model
+
+PROJECT_ID = os.environ['GCLOUD_PROJECT']
+MODEL_ID = 'IOD6143103405779845120'
+
+
+@pytest.mark.slow
+def test_object_detection_deploy_undeploy_model(capsys):
+    automl_vision_object_detection_deploy_model.deploy_model(
+        PROJECT_ID, MODEL_ID)
+
+    out, _ = capsys.readouterr()
+    assert 'Model deployment finished' in out
+
+    automl_vision_object_detection_undeploy_model.undeploy_model(
+        PROJECT_ID, MODEL_ID)
+
+    out, _ = capsys.readouterr()
+    assert 'Model undeploy finished' in out
+
+
+@pytest.mark.slow
+def test_object_detection_deploy_node_count_undeploy_model(capsys):
+    automl_vision_object_detection_deploy_node_count.deploy_model_node_count(
+        PROJECT_ID, MODEL_ID)
+
+    out, _ = capsys.readouterr()
+    assert 'Model deployment on 2 nodes finished' in out
+
+    automl_vision_object_detection_undeploy_model.undeploy_model(
+        PROJECT_ID, MODEL_ID)
+
+    out, _ = capsys.readouterr()
+    assert 'Model undeploy finished' in out

vision/automl/automl_vision_object_detection_undeploy_model.py

@@ -0,0 +1,56 @@
+# Copyright 2019 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 argparse
+
+
+def undeploy_model(project_id, model_id):
+    """Undeploy a model."""
+    # [START automl_vision_object_detection_undeploy_model]
+    from google.cloud import automl_v1beta1 as automl
+
+    # project_id = 'YOUR_PROJECT_ID'
+    # model_name = 'YOUR_MODEL_ID'
+
+    client = automl.AutoMlClient()
+
+    # The full path to your model
+    full_model_id = client.model_path(project_id, 'us-central1', model_id)
+
+    # Undeploy the model
+    response = client.undeploy_model(full_model_id)
+
+    print(u'Model undeploy finished'.format(response.result()))
+    # [END automl_vision_object_detection_undeploy_model]
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(
+        description=__doc__,
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+    )
+
+    parser.add_argument(
+        '--project-id',
+        help='YOUR_PROJECT_ID',
+        required=True)
+    parser.add_argument(
+        '--model-id',
+        help='YOUR_MODEL_ID',
+        required=True)
+
+    args = parser.parse_args()
+
+    undeploy_model(args.project_id, args.model_id)