feat: Added forecasting snippets and fixed bugs with existing snippets

samples/model-builder/conftest.py

@@ -45,6 +45,12 @@ def mock_tabular_dataset():
     yield mock
 
 
+@pytest.fixture
+def mock_time_series_dataset():
+    mock = MagicMock(aiplatform.datasets.TimeSeriesDataset)
+    yield mock
+
+
 @pytest.fixture
 def mock_text_dataset():
     mock = MagicMock(aiplatform.datasets.TextDataset)
@@ -74,6 +80,13 @@ def mock_get_tabular_dataset(mock_tabular_dataset):
         yield mock_get_tabular_dataset
 
 
+@pytest.fixture
+def mock_get_time_series_dataset(mock_time_series_dataset):
+    with patch.object(aiplatform, "TimeSeriesDataset") as mock_get_time_series_dataset:
+        mock_get_time_series_dataset.return_value = mock_time_series_dataset
+        yield mock_get_time_series_dataset
+
+
 @pytest.fixture
 def mock_get_text_dataset(mock_text_dataset):
     with patch.object(aiplatform, "TextDataset") as mock_get_text_dataset:
@@ -107,6 +120,15 @@ def mock_create_tabular_dataset(mock_tabular_dataset):
         yield mock_create_tabular_dataset
 
 
+@pytest.fixture
+def mock_create_time_series_dataset(mock_time_series_dataset):
+    with patch.object(
+        aiplatform.TimeSeriesDataset, "create"
+    ) as mock_create_time_series_dataset:
+        mock_create_time_series_dataset.return_value = mock_time_series_dataset
+        yield mock_create_time_series_dataset
+
+
 @pytest.fixture
 def mock_create_text_dataset(mock_text_dataset):
     with patch.object(aiplatform.TextDataset, "create") as mock_create_text_dataset:
@@ -183,6 +205,12 @@ def mock_tabular_training_job():
     yield mock
 
 
+@pytest.fixture
+def mock_forecasting_training_job():
+    mock = MagicMock(aiplatform.training_jobs.AutoMLForecastingTrainingJob)
+    yield mock
+
+
 @pytest.fixture
 def mock_text_training_job():
     mock = MagicMock(aiplatform.training_jobs.AutoMLTextTrainingJob)
@@ -208,6 +236,19 @@ def mock_run_automl_tabular_training_job(mock_tabular_training_job):
         yield mock
 
 
+@pytest.fixture
+def mock_get_automl_forecasting_training_job(mock_forecasting_training_job):
+    with patch.object(aiplatform, "AutoMLForecastingTrainingJob") as mock:
+        mock.return_value = mock_forecasting_training_job
+        yield mock
+
+
+@pytest.fixture
+def mock_run_automl_forecasting_training_job(mock_forecasting_training_job):
+    with patch.object(mock_forecasting_training_job, "run") as mock:
+        yield mock
+
+
 @pytest.fixture
 def mock_get_automl_image_training_job(mock_image_training_job):
     with patch.object(aiplatform, "AutoMLImageTrainingJob") as mock:

samples/model-builder/create_and_import_dataset_tabular_bigquery_sample.py

@@ -18,13 +18,17 @@
 
 # [START aiplatform_sdk_create_and_import_dataset_tabular_bigquery_sample]
 def create_and_import_dataset_tabular_bigquery_sample(
-    display_name: str, project: str, location: str, bq_source: str,
+    display_name: str,
+    project: str,
+    location: str,
+    bigquery_source: str,
 ):
 
     aiplatform.init(project=project, location=location)
 
     dataset = aiplatform.TabularDataset.create(
-        display_name=display_name, bq_source=bq_source,
+        display_name=display_name,
+        bigquery_source=bigquery_source,
     )
 
     dataset.wait()

samples/model-builder/create_and_import_dataset_tabular_bigquery_sample_test.py

@@ -24,13 +24,14 @@ def test_create_and_import_dataset_tabular_bigquery_sample(
     create_and_import_dataset_tabular_bigquery_sample.create_and_import_dataset_tabular_bigquery_sample(
         project=constants.PROJECT,
         location=constants.LOCATION,
-        bq_source=constants.BIGQUERY_SOURCE,
+        bigquery_source=constants.BIGQUERY_SOURCE,
         display_name=constants.DISPLAY_NAME,
     )
 
     mock_sdk_init.assert_called_once_with(
         project=constants.PROJECT, location=constants.LOCATION
     )
     mock_create_tabular_dataset.assert_called_once_with(
-        display_name=constants.DISPLAY_NAME, bq_source=constants.BIGQUERY_SOURCE,
+        display_name=constants.DISPLAY_NAME,
+        bigquery_source=constants.BIGQUERY_SOURCE,
     )

samples/model-builder/create_and_import_dataset_time_series_bigquery_sample.py

@@ -0,0 +1,40 @@
+# Copyright 2022 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
+#
+#     https://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.
+
+
+from google.cloud import aiplatform
+
+
+# [START aiplatform_sdk_create_and_import_dataset_time_series_bigquery_sample]
+def create_and_import_dataset_time_series_bigquery_sample(
+    display_name: str,
+    project: str,
+    location: str,
+    bigquery_source: str,
+):
+
+    aiplatform.init(project=project, location=location)
+
+    dataset = aiplatform.TimeSeriesDataset.create(
+        display_name=display_name,
+        bigquery_source=bigquery_source,
+    )
+
+    dataset.wait()
+
+    print(f'\tDataset: "{dataset.display_name}"')
+    print(f'\tname: "{dataset.resource_name}"')
+
+
+# [END aiplatform_sdk_create_and_import_dataset_time_series_bigquery_sample]

samples/model-builder/create_and_import_dataset_time_series_bigquery_sample_test.py

@@ -0,0 +1,37 @@
+# Copyright 2022 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
+#
+#     https://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 create_and_import_dataset_time_series_bigquery_sample
+import test_constants as constants
+
+
+def test_create_and_import_dataset_time_series_bigquery_sample(
+    mock_sdk_init, mock_create_time_series_dataset
+):
+
+    create_and_import_dataset_time_series_bigquery_sample.create_and_import_dataset_time_series_bigquery_sample(
+        project=constants.PROJECT,
+        location=constants.LOCATION,
+        bigquery_source=constants.BIGQUERY_SOURCE,
+        display_name=constants.DISPLAY_NAME,
+    )
+
+    mock_sdk_init.assert_called_once_with(
+        project=constants.PROJECT, location=constants.LOCATION
+    )
+    mock_create_time_series_dataset.assert_called_once_with(
+        display_name=constants.DISPLAY_NAME,
+        bigquery_source=constants.BIGQUERY_SOURCE,
+    )

samples/model-builder/create_and_import_dataset_time_series_gcs_sample.py

@@ -0,0 +1,41 @@
+# Copyright 2022 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
+#
+#     https://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.
+
+from typing import List, Union
+
+from google.cloud import aiplatform
+
+
+# [START aiplatform_sdk_create_and_import_dataset_time_series_gcs_sample]
+def create_and_import_dataset_time_series_gcs_sample(
+    display_name: str,
+    project: str,
+    location: str,
+    gcs_source: Union[str, List[str]],
+):
+
+    aiplatform.init(project=project, location=location)
+
+    dataset = aiplatform.TimeSeriesDataset.create(
+        display_name=display_name,
+        gcs_source=gcs_source,
+    )
+
+    dataset.wait()
+
+    print(f'\tDataset: "{dataset.display_name}"')
+    print(f'\tname: "{dataset.resource_name}"')
+
+
+# [END aiplatform_sdk_create_and_import_dataset_time_series_gcs_sample]

samples/model-builder/create_and_import_dataset_time_series_gcs_sample_test.py

@@ -0,0 +1,37 @@
+# Copyright 2022 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
+#
+#     https://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 create_and_import_dataset_time_series_gcs_sample
+import test_constants as constants
+
+
+def test_create_and_import_dataset_time_series_gcs_sample(
+    mock_sdk_init, mock_create_time_series_dataset
+):
+
+    create_and_import_dataset_time_series_gcs_sample.create_and_import_dataset_time_series_gcs_sample(
+        project=constants.PROJECT,
+        location=constants.LOCATION,
+        gcs_source=constants.GCS_SOURCES,
+        display_name=constants.DISPLAY_NAME,
+    )
+
+    mock_sdk_init.assert_called_once_with(
+        project=constants.PROJECT, location=constants.LOCATION
+    )
+    mock_create_time_series_dataset.assert_called_once_with(
+        display_name=constants.DISPLAY_NAME,
+        gcs_source=constants.GCS_SOURCES,
+    )

samples/model-builder/create_batch_prediction_job_bigquery_sample.py

@@ -0,0 +1,47 @@
+# Copyright 2021 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
+#
+#     https://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.
+
+from google.cloud import aiplatform
+
+
+#  [START aiplatform_sdk_create_batch_prediction_job_bigquery_sample]
+def create_batch_prediction_job_bigquery_sample(
+    project: str,
+    location: str,
+    model_resource_name: str,
+    job_display_name: str,
+    bigquery_source: str,
+    bigquery_destination_prefix: str,
+    sync: bool = True,
+):
+    aiplatform.init(project=project, location=location)
+
+    my_model = aiplatform.Model(model_resource_name)
+
+    batch_prediction_job = my_model.batch_predict(
+        job_display_name=job_display_name,
+        bigquery_source=bigquery_source,
+        bigquery_destination_prefix=bigquery_destination_prefix,
+        sync=sync,
+    )
+
+    batch_prediction_job.wait()
+
+    print(batch_prediction_job.display_name)
+    print(batch_prediction_job.resource_name)
+    print(batch_prediction_job.state)
+    return batch_prediction_job
+
+
+#  [END aiplatform_sdk_create_batch_prediction_job_bigquery_sample]

samples/model-builder/create_batch_prediction_job_bigquery_sample_test.py

@@ -0,0 +1,42 @@
+# Copyright 2021 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
+#
+#     https://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 create_batch_prediction_job_bigquery_sample
+import test_constants as constants
+
+
+def test_create_batch_prediction_job_bigquery_sample(
+    mock_sdk_init, mock_model, mock_init_model, mock_batch_predict_model
+):
+
+    create_batch_prediction_job_bigquery_sample.create_batch_prediction_job_bigquery_sample(
+        project=constants.PROJECT,
+        location=constants.LOCATION,
+        model_resource_name=constants.MODEL_NAME,
+        job_display_name=constants.DISPLAY_NAME,
+        bigquery_source=constants.BIGQUERY_SOURCE,
+        bigquery_destination_prefix=constants.BIGQUERY_DESTINATION_PREFIX,
+    )
+
+    mock_sdk_init.assert_called_once_with(
+        project=constants.PROJECT, location=constants.LOCATION
+    )
+    mock_init_model.assert_called_once_with(constants.MODEL_NAME)
+    mock_batch_predict_model.assert_called_once_with(
+        job_display_name=constants.DISPLAY_NAME,
+        bigquery_source=constants.BIGQUERY_SOURCE,
+        bigquery_destination_prefix=constants.BIGQUERY_DESTINATION_PREFIX,
+        sync=True,
+    )