docs(samples): Added answer_query_sample.py (GoogleCloudPlatform#12564)

* docs(samples): Added answer_query_sample.py

* 🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

* Fixed Sample to pass tests

* Fixed test engine

* Update answer_query_sample.py

Added disclaimer about gemini generation

---------

Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>

Author: holtskinner

discoveryengine/answer_query_sample.py

@@ -0,0 +1,97 @@
+# Copyright 2024 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.
+#
+
+# NOTE: This snippet has been partially generated by `gemini-1.5-pro-001`
+
+# [START genappbuilder_answer_query]
+from google.api_core.client_options import ClientOptions
+from google.cloud import discoveryengine_v1 as discoveryengine
+
+# TODO(developer): Uncomment these variables before running the sample.
+# project_id = "YOUR_PROJECT_ID"
+# location = "YOUR_LOCATION"                    # Values: "global", "us", "eu"
+# engine_id = "YOUR_APP_ID"
+
+
+def answer_query_sample(
+    project_id: str,
+    location: str,
+    engine_id: str,
+) -> discoveryengine.AnswerQueryResponse:
+    #  For more information, refer to:
+    # https://cloud.google.com/generative-ai-app-builder/docs/locations#specify_a_multi-region_for_your_data_store
+    client_options = (
+        ClientOptions(api_endpoint=f"{location}-discoveryengine.googleapis.com")
+        if location != "global"
+        else None
+    )
+
+    # Create a client
+    client = discoveryengine.ConversationalSearchServiceClient(
+        client_options=client_options
+    )
+
+    # The full resource name of the Search serving config
+    serving_config = f"projects/{project_id}/locations/{location}/collections/default_collection/engines/{engine_id}/servingConfigs/default_serving_config"
+
+    # Optional: Options for query phase
+    query_understanding_spec = discoveryengine.AnswerQueryRequest.QueryUnderstandingSpec(
+        query_rephraser_spec=discoveryengine.AnswerQueryRequest.QueryUnderstandingSpec.QueryRephraserSpec(
+            disable=False,  # Optional: Disable query rephraser
+            max_rephrase_steps=1,  # Optional: Number of rephrase steps
+        ),
+        # Optional: Classify query types
+        query_classification_spec=discoveryengine.AnswerQueryRequest.QueryUnderstandingSpec.QueryClassificationSpec(
+            types=[
+                discoveryengine.AnswerQueryRequest.QueryUnderstandingSpec.QueryClassificationSpec.Type.ADVERSARIAL_QUERY,
+                discoveryengine.AnswerQueryRequest.QueryUnderstandingSpec.QueryClassificationSpec.Type.NON_ANSWER_SEEKING_QUERY,
+            ]  # Options: ADVERSARIAL_QUERY, NON_ANSWER_SEEKING_QUERY or both
+        ),
+    )
+
+    # Optional: Options for answer phase
+    answer_generation_spec = discoveryengine.AnswerQueryRequest.AnswerGenerationSpec(
+        ignore_adversarial_query=False,  # Optional: Ignore adversarial query
+        ignore_non_answer_seeking_query=False,  # Optional: Ignore non-answer seeking query
+        ignore_low_relevant_content=False,  # Optional: Return fallback answer when content is not relevant
+        model_spec=discoveryengine.AnswerQueryRequest.AnswerGenerationSpec.ModelSpec(
+            model_version="gemini-1.5-flash-001/answer_gen/v2",  # Optional: Model to use for answer generation
+        ),
+        prompt_spec=discoveryengine.AnswerQueryRequest.AnswerGenerationSpec.PromptSpec(
+            preamble="Give a detailed answer.",  # Optional: Natural language instructions for customizing the answer.
+        ),
+        include_citations=True,  # Optional: Include citations in the response
+        answer_language_code="en",  # Optional: Language code of the answer
+    )
+
+    # Initialize request argument(s)
+    request = discoveryengine.AnswerQueryRequest(
+        serving_config=serving_config,
+        query=discoveryengine.Query(text="What is Vertex AI Search?"),
+        session=None,  # Optional: include previous session ID to continue a conversation
+        query_understanding_spec=query_understanding_spec,
+        answer_generation_spec=answer_generation_spec,
+    )
+
+    # Make the request
+    response = client.answer_query(request)
+
+    # Handle the response
+    print(response)
+
+    return response
+
+
+# [END genappbuilder_answer_query]

discoveryengine/answer_query_sample_test.py

@@ -0,0 +1,31 @@
+# Copyright 2024 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
+
+from discoveryengine import answer_query_sample
+
+project_id = os.environ["GOOGLE_CLOUD_PROJECT"]
+
+
+def test_answer_query():
+    response = answer_query_sample.answer_query_sample(
+        project_id=project_id,
+        location="global",
+        engine_id="test-search-engine_1689960780551",
+    )
+
+    assert response
+    assert response.answer