feat: GenAI SDK client(multimodal) - Support Assemble feature on the multimodal datasets.

tests/unit/vertexai/genai/replays/test_assemble_multimodal_datasets.py

@@ -0,0 +1,96 @@
+# Copyright 2025 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.
+#
+# pylint: disable=protected-access,bad-continuation,missing-function-docstring
+
+from tests.unit.vertexai.genai.replays import pytest_helper
+from vertexai._genai import types
+
+import pytest
+
+METADATA_SCHEMA_URI = (
+    "gs://google-cloud-aiplatform/schema/dataset/metadata/multimodal_1.0.0.yaml"
+)
+BIGQUERY_TABLE_NAME = "vertex-sdk-dev.multimodal_dataset.test-table"
+DATASET = "8810841321427173376"
+
+
+def test_assemble_dataset(client):
+    operation = client.datasets._assemble_multimodal_dataset(
+        name=DATASET,
+        gemini_request_read_config={
+            "template_config": {
+                "field_mapping": {"question": "questionColumn"},
+            },
+        },
+    )
+    assert isinstance(operation, types.MultimodalDatasetOperation)
+
+
+def test_assemble_dataset_public(client):
+    bigquery_destination = client.datasets.assemble(
+        name=DATASET,
+        template_config=types.GeminiTemplateConfig(
+            gemini_example=types.GeminiExample(
+                model="gemini-1.5-flash",
+                contents=[
+                    {
+                        "role": "user",
+                        "parts": [{"text": "What is the capital of {name}?"}],
+                    }
+                ],
+            ),
+        ),
+    )
+    assert bigquery_destination.startswith(f"bq://{BIGQUERY_TABLE_NAME}")
+
+
+pytestmark = pytest_helper.setup(
+    file=__file__,
+    globals_for_file=globals(),
+)
+
+pytest_plugins = ("pytest_asyncio",)
+
+
+@pytest.mark.asyncio
+async def test_assemble_dataset_async(client):
+    operation = await client.aio.datasets._assemble_multimodal_dataset(
+        name=DATASET,
+        gemini_request_read_config={
+            "template_config": {
+                "field_mapping": {"question": "questionColumn"},
+            },
+        },
+    )
+    assert isinstance(operation, types.MultimodalDatasetOperation)
+
+
+@pytest.mark.asyncio
+async def test_assemble_dataset_public_async(client):
+    bigquery_destination = await client.aio.datasets.assemble(
+        name=DATASET,
+        template_config=types.GeminiTemplateConfig(
+            gemini_example=types.GeminiExample(
+                model="gemini-1.5-flash",
+                contents=[
+                    {
+                        "role": "user",
+                        "parts": [{"text": "What is the capital of {name}?"}],
+                    }
+                ],
+            ),
+        ),
+    )
+    assert bigquery_destination.startswith(f"bq://{BIGQUERY_TABLE_NAME}")

tests/unit/vertexai/genai/replays/test_create_multimodal_datasets.py

@@ -54,6 +54,9 @@ def test_create_dataset_from_bigquery(client):
     )
     assert isinstance(dataset, types.MultimodalDataset)
     assert dataset.display_name == "test-from-bigquery"
+    assert dataset.metadata.input_config.bigquery_source.uri == (
+        f"bq://{BIGQUERY_TABLE_NAME}"
+    )
 
 
 def test_create_dataset_from_bigquery_without_bq_prefix(client):
@@ -70,6 +73,9 @@ def test_create_dataset_from_bigquery_without_bq_prefix(client):
     )
     assert isinstance(dataset, types.MultimodalDataset)
     assert dataset.display_name == "test-from-bigquery"
+    assert dataset.metadata.input_config.bigquery_source.uri == (
+        f"bq://{BIGQUERY_TABLE_NAME}"
+    )
 
 
 pytestmark = pytest_helper.setup(
@@ -111,6 +117,9 @@ async def test_create_dataset_from_bigquery_async(client):
     )
     assert isinstance(dataset, types.MultimodalDataset)
     assert dataset.display_name == "test-from-bigquery"
+    assert dataset.metadata.input_config.bigquery_source.uri == (
+        f"bq://{BIGQUERY_TABLE_NAME}"
+    )
 
 
 @pytest.mark.asyncio
@@ -129,6 +138,9 @@ async def test_create_dataset_from_bigquery_async_with_timeout(client):
     )
     assert isinstance(dataset, types.MultimodalDataset)
     assert dataset.display_name == "test-from-bigquery"
+    assert dataset.metadata.input_config.bigquery_source.uri == (
+        f"bq://{BIGQUERY_TABLE_NAME}"
+    )
 
 
 @pytest.mark.asyncio
@@ -146,3 +158,6 @@ async def test_create_dataset_from_bigquery_async_without_bq_prefix(client):
     )
     assert isinstance(dataset, types.MultimodalDataset)
     assert dataset.display_name == "test-from-bigquery"
+    assert dataset.metadata.input_config.bigquery_source.uri == (
+        f"bq://{BIGQUERY_TABLE_NAME}"
+    )

vertexai/_genai/_datasets_utils.py

@@ -14,7 +14,23 @@
 #
 """Utility functions for multimodal dataset."""
 
+from typing import Any, TypeVar, Type
+from vertexai._genai.types import common
+from pydantic import BaseModel
 
 METADATA_SCHEMA_URI = (
     "gs://google-cloud-aiplatform/schema/dataset/metadata/multimodal_1.0.0.yaml"
 )
+
+T = TypeVar("T", bound=BaseModel)
+
+
+def create_from_response(model_type: Type[T], response: dict[str, Any]) -> T:
+    """Creates a model from a response."""
+    model_field_names = model_type.model_fields.keys()
+    filtered_response = {}
+    for key, value in response.items():
+        snake_key = common.camel_to_snake(key)
+        if snake_key in model_field_names:
+            filtered_response[snake_key] = value
+    return model_type(**filtered_response)