feat: Add structured data and memory type to Memory.

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

@@ -0,0 +1,100 @@
+# 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
+
+
+def test_generate_and_retrieve_profile(client):
+    # TODO: Use prod once available.
+    client._api_client._http_options.base_url = (
+        "https://us-central1-autopush-aiplatform.sandbox.googleapis.com"
+    )
+    customization_config = {"disable_natural_language_memories": True}
+    memory_bank_customization_config = types.MemoryBankCustomizationConfig(
+        **customization_config
+    )
+    structured_memory_config = {
+        "scope_keys": ["user_id"],
+        "schema_configs": [
+            {
+                "id": "user-profile",
+                "memory_schema": {
+                    "properties": {
+                        "name": {"description": "User's name", "type": "string"}
+                    },
+                    "type": "object",
+                },
+            }
+        ],
+    }
+    structured_memory_config_obj = types.StructuredMemoryConfig(
+        **structured_memory_config
+    )
+    agent_engine = client.agent_engines.create(
+        config={
+            "context_spec": {
+                "memory_bank_config": {
+                    "customization_configs": [memory_bank_customization_config],
+                    "structured_memory_configs": [structured_memory_config_obj],
+                },
+            },
+            "http_options": {"api_version": "v1beta1"},
+        },
+    )
+    try:
+        agent_engine = client.agent_engines.get(name=agent_engine.api_resource.name)
+        memory_bank_config = agent_engine.api_resource.context_spec.memory_bank_config
+        assert memory_bank_config.customization_configs == [
+            memory_bank_customization_config
+        ]
+        assert memory_bank_config.structured_memory_configs == [
+            structured_memory_config_obj
+        ]
+
+        scope = {"user_id": "123"}
+        client.agent_engines.memories.generate(
+            name=agent_engine.api_resource.name,
+            scope=scope,
+            direct_contents_source={
+                "events": [{"content": {"parts": [{"text": "My name is Kim."}]}}]
+            },
+        )
+        memories = list(
+            client.agent_engines.memories.retrieve(
+                name=agent_engine.api_resource.name,
+                scope=scope,
+                config={"memory_types": ["STRUCTURED_PROFILE"]},
+            )
+        )
+        assert len(memories) >= 1
+        assert memories[0].memory.structured_content is not None
+
+        response = client.agent_engines.memories.retrieve_profiles(
+            name=agent_engine.api_resource.name, scope=scope
+        )
+        assert len(response.profiles) == 1
+
+    finally:
+        # Clean up resources.
+        client.agent_engines.delete(name=agent_engine.api_resource.name, force=True)
+
+
+pytestmark = pytest_helper.setup(
+    file=__file__,
+    globals_for_file=globals(),
+    test_method="agent_engines.retrieve_profiles",
+)