feat: LRO metadata (#204)

* chore: release 0.5.0

Release-As: 0.5.0

* feat: update export model examples to print operation.metadata.output_info

Author: dizcology

.sample_configs/process_configs.yaml

@@ -148,11 +148,21 @@ export_data_sample:
   resource_name: dataset
 export_evaluated_data_items_sample:
   resource_name: model_evaluation
-export_model_sample: {}
-export_model_tabular_classification_sample: {}
-export_model_video_action_recognition_sample: {}
-export_model_video_classification_sample: {}
-export_model_video_object_tracking_sample: {}
+export_model_sample:
+  lro_metadata:
+  - output_info
+export_model_tabular_classification_sample:
+  lro_metadata:
+  - output_info
+export_model_video_action_recognition_sample:
+  lro_metadata:
+  - output_info
+export_model_video_classification_sample:
+  lro_metadata:
+  - output_info
+export_model_video_object_tracking_sample:
+  lro_metadata:
+  - output_info
 get_annotation_spec_sample: {}
 get_batch_prediction_job_sample:
   skip:

samples/snippets/export_model_sample.py

@@ -35,6 +35,7 @@ def export_model_sample(
     name = client.model_path(project=project, location=location, model=model_id)
     response = client.export_model(name=name, output_config=output_config)
     print("Long running operation:", response.operation.name)
+    print("output_info:", response.metadata.output_info)
     export_model_response = response.result(timeout=timeout)
     print("export_model_response:", export_model_response)
 

samples/snippets/export_model_tabular_classification_sample.py

@@ -37,6 +37,7 @@ def export_model_tabular_classification_sample(
     name = client.model_path(project=project, location=location, model=model_id)
     response = client.export_model(name=name, output_config=output_config)
     print("Long running operation:", response.operation.name)
+    print("output_info:", response.metadata.output_info)
     export_model_response = response.result(timeout=timeout)
     print("export_model_response:", export_model_response)
 

samples/snippets/export_model_tabular_classification_sample_test.py

@@ -42,4 +42,4 @@ def test_ucaip_generated_export_model_tabular_classification_sample(capsys):
         gcs_destination_output_uri_prefix=f"{GCS_BUCKET}/{GCS_PREFIX}",
     )
     out, _ = capsys.readouterr()
-    assert "export_model_response" in out
+    assert "output_info" in out

samples/snippets/export_model_video_action_recognition_sample.py

@@ -38,6 +38,7 @@ def export_model_video_action_recognition_sample(
     name = client.model_path(project=project, location=location, model=model_id)
     response = client.export_model(name=name, output_config=output_config)
     print("Long running operation:", response.operation.name)
+    print("output_info:", response.metadata.output_info)
     export_model_response = response.result(timeout=timeout)
     print("export_model_response:", export_model_response)
 

samples/snippets/export_model_video_action_recognition_sample_test.py

@@ -46,4 +46,4 @@ def test_export_model_video_action_recognition_sample(capsys):
         export_format=EXPORT_FORMAT,
     )
     out, _ = capsys.readouterr()
-    assert "export_model_response" in out
+    assert "output_info" in out