automl: move samples into beta set

automl/beta/batch_predict.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.
+
+# [START automl_batch_predict_beta]
+from google.cloud import automl_v1beta1 as automl
+
+
+def batch_predict(
+    project_id="YOUR_PROJECT_ID",
+    model_id="YOUR_MODEL_ID",
+    input_uri="gs://YOUR_BUCKET_ID/path/to/your/input/csv_or_jsonl",
+    output_uri="gs://YOUR_BUCKET_ID/path/to/save/results/",
+):
+    """Batch predict"""
+    prediction_client = automl.PredictionServiceClient()
+
+    # Get the full path of the model.
+    model_full_id = prediction_client.model_path(
+        project_id, "us-central1", model_id
+    )
+
+    gcs_source = automl.types.GcsSource(input_uris=[input_uri])
+
+    input_config = automl.types.BatchPredictInputConfig(gcs_source=gcs_source)
+    gcs_destination = automl.types.GcsDestination(output_uri_prefix=output_uri)
+    output_config = automl.types.BatchPredictOutputConfig(
+        gcs_destination=gcs_destination
+    )
+
+    response = prediction_client.batch_predict(
+        model_full_id, input_config, output_config
+    )
+
+    print("Waiting for operation to complete...")
+    print(
+        "Batch Prediction results saved to Cloud Storage bucket. {}".format(
+            response.result()
+        )
+    )
+# [END automl_batch_predict_beta]

automl/beta/batch_predict_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 ladnguage governing permissions and
+# limitations under the License.
+
+import datetime
+import os
+
+import batch_predict
+
+PROJECT_ID = os.environ["AUTOML_PROJECT_ID"]
+BUCKET_ID = "{}-lcm".format(PROJECT_ID)
+MODEL_ID = "TEN0000000000000000000"
+PREFIX = "TEST_EXPORT_OUTPUT_" + datetime.datetime.now().strftime(
+    "%Y%m%d%H%M%S"
+)
+
+
+def test_batch_predict(capsys):
+    # As batch prediction can take a long time. Try to batch predict on a model
+    # and confirm that the model was not found, but other elements of the
+    # request were valid.
+    try:
+        input_uri = "gs://{}/entity-extraction/input.jsonl".format(BUCKET_ID)
+        output_uri = "gs://{}/{}/".format(BUCKET_ID, PREFIX)
+        batch_predict.batch_predict(
+            PROJECT_ID, MODEL_ID, input_uri, output_uri
+        )
+        out, _ = capsys.readouterr()
+        assert (
+            "The model is either not found or not supported for prediction yet"
+            in out
+        )
+    except Exception as e:
+        assert (
+            "The model is either not found or not supported for prediction yet"
+            in e.message
+        )

automl/beta/delete_dataset.py

@@ -0,0 +1,29 @@
+# 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_delete_dataset_beta]
+from google.cloud import automl_v1beta1 as automl
+
+
+def delete_dataset(project_id="YOUR_PROJECT_ID", dataset_id="YOUR_DATASET_ID"):
+    """Delete a dataset."""
+    client = automl.AutoMlClient()
+    # Get the full path of the dataset
+    dataset_full_id = client.dataset_path(
+        project_id, "us-central1", dataset_id
+    )
+    response = client.delete_dataset(dataset_full_id)
+
+    print("Dataset deleted. {}".format(response.result()))
+# [END automl_delete_dataset_beta]

automl/beta/delete_dataset_test.py

@@ -0,0 +1,46 @@
+# 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 delete_dataset
+
+PROJECT_ID = os.environ["AUTOML_PROJECT_ID"]
+BUCKET_ID = "{}-lcm".format(PROJECT_ID)
+
+
+@pytest.fixture(scope="function")
+def dataset_id():
+    client = automl.AutoMlClient()
+    project_location = client.location_path(PROJECT_ID, "us-central1")
+    display_name = "test_{}".format(uuid.uuid4()).replace("-", "")[:32]
+    metadata = automl.types.TextExtractionDatasetMetadata()
+    dataset = automl.types.Dataset(
+        display_name=display_name, text_extraction_dataset_metadata=metadata
+    )
+    response = client.create_dataset(project_location, dataset)
+    dataset_id = response.name.split("/")[-1]
+
+    yield dataset_id
+
+
+def test_delete_dataset(capsys, dataset_id):
+    # delete dataset
+    delete_dataset.delete_dataset(PROJECT_ID, dataset_id)
+    out, _ = capsys.readouterr()
+    assert "Dataset deleted." in out