feat: Added tabular forecasting sample

.sample_configs/param_handlers/create_batch_prediction_job_tabular_forecasting_sample.py

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+def make_parent(parent: str) -> str:
+    parent = parent
+
+    return parent
+
+
+def make_batch_prediction_job(
+    display_name: str,
+    model_name: str,
+    gcs_source_uri: str,
+    gcs_destination_output_uri_prefix: str,
+    predictions_format: str,
+) -> google.cloud.aiplatform_v1beta1.types.batch_prediction_job.BatchPredictionJob:
+    batch_prediction_job = {
+        "display_name": display_name,
+        # Format: 'projects/{project}/locations/{location}/models/{model_id}'
+        "model": model_name,
+        "input_config": {
+            "instances_format": predictions_format,
+            "gcs_source": {"uris": [gcs_source_uri]},
+        },
+        "output_config": {
+            "predictions_format": predictions_format,
+            "gcs_destination": {"output_uri_prefix": gcs_destination_output_uri_prefix},
+        },
+    }
+    return batch_prediction_job
+

samples/snippets/create_batch_prediction_job_tabular_forecasting_sample.py

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+# 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
+#
+#     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.
+
+# [START aiplatform_create_batch_prediction_job_tabular_forecasting_sample]
+from google.cloud import aiplatform
+
+
+def create_batch_prediction_job_tabular_forecasting_sample(
+    project: str,
+    display_name: str,
+    model_name: str,
+    gcs_source_uri: str,
+    gcs_destination_output_uri_prefix: str,
+    predictions_format: str,
+    location: str = "us-central1",
+    api_endpoint: str = "us-central1-aiplatform.googleapis.com",
+):
+    # The AI Platform services require regional API endpoints.
+    client_options = {"api_endpoint": api_endpoint}
+    # Initialize client that will be used to create and send requests.
+    # This client only needs to be created once, and can be reused for multiple requests.
+    client = aiplatform.gapic.JobServiceClient(client_options=client_options)
+    batch_prediction_job = {
+        "display_name": display_name,
+        # Format: 'projects/{project}/locations/{location}/models/{model_id}'
+        "model": model_name,
+        "input_config": {
+            "instances_format": predictions_format,
+            "gcs_source": {"uris": [gcs_source_uri]},
+        },
+        "output_config": {
+            "predictions_format": predictions_format,
+            "gcs_destination": {"output_uri_prefix": gcs_destination_output_uri_prefix},
+        },
+    }
+    parent = f"projects/{project}/locations/{location}"
+    response = client.create_batch_prediction_job(
+        parent=parent, batch_prediction_job=batch_prediction_job
+    )
+    print("response:", response)
+
+
+# [END aiplatform_create_batch_prediction_job_tabular_forecasting_sample]

samples/snippets/create_batch_prediction_job_tabular_forecasting_sample_test.py

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+# 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
+#
+#     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 os
+from uuid import uuid4
+
+import pytest
+
+import create_batch_prediction_job_tabular_forecasting_sample
+import helpers
+
+PROJECT_ID = os.getenv("BUILD_SPECIFIC_GCLOUD_PROJECT")
+LOCATION = "us-central1"
+MODEL_ID = "8531330622239539200"  # Permanent restaurant rating model
+DISPLAY_NAME = f"temp_create_batch_prediction_tabular_forecasting_test_{uuid4()}"
+GCS_SOURCE_URI = "gs://cloud-samples-data/ai-platform/covid/bigquery-public-covid-nyt-us-counties-train.csv"
+GCS_OUTPUT_URI = "gs://ucaip-samples-test-output/"
+PREDICTIONS_FORMAT = "csv"
+
+
+@pytest.fixture(scope="function", autouse=True)
+def teardown(teardown_batch_prediction_job):
+    yield
+
+
+# Creating AutoML Tabular Forecasting Classification batch prediction job
+def test_create_batch_prediction_job_tabular_forecasting_sample(capsys, shared_state):
+
+    model_name = f"projects/{PROJECT_ID}/locations/{LOCATION}/models/{MODEL_ID}"
+
+    create_batch_prediction_job_tabular_forecasting_sample.create_batch_prediction_job_tabular_forecasting_sample(
+        project=PROJECT_ID,
+        display_name=DISPLAY_NAME,
+        model_name=model_name,
+        gcs_source_uri=GCS_SOURCE_URI,
+        gcs_destination_output_uri_prefix=GCS_OUTPUT_URI,
+        predictions_format=PREDICTIONS_FORMAT,
+    )
+
+    out, _ = capsys.readouterr()
+
+    # Save resource name of the newly created batch prediction job
+    shared_state["batch_prediction_job_name"] = helpers.get_name(out)